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ORCIDICCV 2023: Paris, France
- IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023. IEEE 2023, ISBN 979-8-3503-0718-4
- Xinyang Liu, Yijin Li, Yanbin Teng, Hujun Bao, Guofeng Zhang, Yinda Zhang, Zhaopeng Cui:
Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor. 1-11 - Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai:
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. 12-22 - Jiachen Lu, Hongyang Li, Renyuan Peng, Feng Wen, Xinyue Cai, Wei Zhang, Hang Xu, Li Zhang:
Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach. 23-33 - Ruojin Cai, Joseph Tung
, Qianqian Wang, Hadar Averbuch-Elor, Bharath Hariharan, Noah Snavely:
Doppelgangers: Learning to Disambiguate Images of Similar Structures. 34-44 - Jinjie Mai, Abdullah Hamdi, Silvio Giancola, Chen Zhao, Bernard Ghanem:
EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries. 45-57 - Wenqiang Xu, Wenxin Du, Han Xue, Yutong Li, Ruolin Ye, Yanfeng Wang, Cewu Lu:
ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution. 58-68 - Zijie Jiang, Masatoshi Okutomi:
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity. 69-78 - Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar:
ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting. 79-89 - Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu:
Robust Mixture-of-Expert Training for Convolutional Neural Networks. 90-101 - Dong Lu, Zhiqiang Wang, Teng Wang, Weili Guan, Hongchang Gao, Feng Zheng:
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. 102-111 - Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang:
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. 112-123 - Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai:
CGBA: Curvature-aware Geometric Black-box Attack. 124-133 - Minjong Lee, Dongwoo Kim:
Robust Evaluation of Diffusion-Based Adversarial Purification. 134-144 - Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long:
Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training. 145-154 - Zixuan Zhu, Rui Wang, Cong Zou, Lihua Jing:
The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data. 155-164 - Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha:
TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. 165-175 - Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian:
Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning. 176-185 - Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen, Felix Juefei-Xu, Chen Feng:
Among Us: Adversarially Robust Collaborative Perception by Consensus. 186-195 - Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé:
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. 196-206 - Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian:
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation. 207-216 - Yuanzhi Liang, Xiaohan Wang, Linchao Zhu, Yi Yang:
MAAL: Multimodality-Aware Autoencoder-based Affordance Learning for 3D Articulated Objects. 217-227 - Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, Ziwei Liu:
Rethinking Range View Representation for LiDAR Segmentation. 228-240 - Haitao Lin, Yanwei Fu, Xiangyang Xue:
PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring. 241-251 - Arthur Moreau, Nathan Piasco, Moussâb Bennehar, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle:
CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation. 252-262 - Hyesong Choi, Hunsang Lee, Seongwon Jeong, Dongbo Min:
Environment Agnostic Representation for Visual Reinforcement learning. 263-273 - Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Weiqing Li, Bin Li, Hongwei Yi, Haofan Wang:
Test-time Personalizable Forecasting of 3D Human Poses. 274-283 - Hao Xiang, Runsheng Xu, Jiaqi Ma:
HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer. 284-295 - Antoine Mercier, Ruan Erasmus, Yashesh Savani, Manik Dhingra, Fatih Porikli, Guillaume Berger:
Efficient neural supersampling on a novel gaming dataset. 296-306 - Hong-Wing Pang, Binh-Son Hua, Sai-Kit Yeung:
Locally Stylized Neural Radiance Fields. 307-316 - Dongqing Wang, Tong Zhang, Sabine Süsstrunk:
NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects. 317-327 - Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, Xuansong Xie:
DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders. 328-338 - Weicai Ye, Shuo Chen, Chong Bao, Hujun Bao, Marc Pollefeys, Zhaopeng Cui, Guofeng Zhang:
IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis. 339-151 - Jiayi Liu, Ali Mahdavi-Amiri, Manolis Savva:
PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects. 352-363 - Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu:
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model. 364-373 - Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang:
DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion. 374-384 - Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin:
Dynamic Mesh-Aware Radiance Fields. 385-396 - Wenzhang Sun, Yunlong Che, Yandong Guo, Han Huang:
Neural Reconstruction of Relightable Human Model from Monocular Video. 397-407 - Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil:
Neural Microfacet Fields for Inverse Rendering. 408-418 - Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi:
A Theory of Topological Derivatives for Inverse Rendering of Geometry. 419-429 - Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor:
Vox-E: Text-guided Voxel Editing of 3D Objects. 430-440 - Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang:
StegaNeRF: Embedding Invisible Information within Neural Radiance Fields. 441-453 - Liu He, Daniel G. Aliaga:
GlobalMapper: Arbitrary-Shaped Urban Layout Generation. 454-464 - Fan Lu, Yan Xu, Guang Chen, Hongsheng Li, Kwan-Yee Lin, Changjun Jiang:
Urban Radiance Field Representation with Deformable Neural Mesh Primitives. 465-476 - Barbara Roessle, Matthias Nießner:
End2End Multi-View Feature Matching with Differentiable Pose Optimization. 477-487 - Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu:
Tree-Structured Shading Decomposition. 488-498 - Dominique Piché-Meunier, Yannick Hold-Geoffroy, Jianming Zhang, Jean-François Lalonde:
Lens Parameter Estimation for Realistic Depth of Field Modeling. 499-508 - Chongyang Zhong, Lei Hu, Zihao Zhang, Shihong Xia:
AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism. 509-519 - Manuel Ladron de Guevara, Yannick Hold-Geoffroy, Jose Echevarria, Cameron Smith, Yijun Li, Daichi Ito:
Cross-modal Latent Space Alignment for Image to Avatar Translation. 520-529 - Yibo Yang, Stephan Mandt:
Computationally-Efficient Neural Image Compression with Shallow Decoders. 530-540 - Salwa K. Al Khatib, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Shahbaz Khan:
3D Instance Segmentation via Enhanced Spatial and Semantic Supervision. 541-550 - Zhijie Deng, Yucen Luo:
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. 551-561 - Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang:
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization. 562-571 - Wentong Li, Yuqian Yuan, Song Wang, Jianke Zhu, Jianshu Li, Jian Liu, Lei Zhang:
Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport. 572-581 - Sina Gholamian, Ali Vahdat:
Handwritten and Printed Text Segmentation: A Signature Case Study. 582-592 - Sihyeon Kim, Juyeon Ko, Minseok Joo, Juhan Cha, Jaewon Lee, Hyunwoo J. Kim:
Semantic-Aware Implicit Template Learning via Part Deformation Consistency. 593-603 - Yunze Liu, Junyu Chen, Zekai Zhang, Jingwei Huang, Li Yi:
LeaF: Learning Frames for 4D Point Cloud Sequence Understanding. 604-613 - Sanghyun Jo, In-Jae Yu, Kyungsu Kim:
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation. 614-623 - Zelin Peng, Guanchun Wang, Lingxi Xie, Dongsheng Jiang, Wei Shen, Qi Tian:
USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation. 624-634 - Maksym Bekuzarov, Ariana Bermudez, Joon-Young Lee, Hao Li:
XMem++: Production-level Video Segmentation From Few Annotated Frames. 635-644 - Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard:
ΣIGMA: Scale-Invariant Global Sparse Shape Matching. 645-654 - Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long:
Self-Calibrated Cross Attention Network for Few-Shot Segmentation. 655-665 - Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen:
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation. 666-676 - Sunghwan Kim, Dae-Hwan Kim, Hoseong Kim:
Texture Learning Domain Randomization for Domain Generalized Segmentation. 677-687 - Tiankang Su, Huihui Song, Dong Liu, Bo Liu, Qingshan Liu:
Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning. 688-698 - Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Chang Culatana, Mohamed Elhoseiny:
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only. 699-710 - Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney:
RbA: Segmenting Unknown Regions Rejected by All. 711-722 - Sriram Ravindran, Debraj Basu:
Sempart: Self-supervised Multi-resolution Partitioning of Image Semantics. 723-733 - Sadra Safadoust, Fatma Güney:
Multi-Object Discovery by Low-Dimensional Object Motion. 734-744 - Enxu Li, Sergio Casas, Raquel Urtasun:
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. 745-754 - Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang:
Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation. 755-765 - Rui Yang, Lin Song, Yixiao Ge, Xiu Li:
BoxSnake: Polygonal Instance Segmentation with Box Supervision. 766-776 - Quan Tang, Bowen Zhang, Jiajun Liu, Fagui Liu, Yifan Liu:
Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation. 777-786 - Yichen Liu, Benran Hu, Junkai Huang, Yu-Wing Tai, Chi-Keung Tang:
Instance Neural Radiance Field. 787-796 - Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei:
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. 797-807 - Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu:
Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation. 808-820 - Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin:
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. 821-831 - Hala Lamdouar, Weidi Xie, Andrew Zisserman:
The Making and Breaking of Camouflage. 832-842 - Zekang Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei:
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation. 843-853 - Xueyi Liu, Bin Wang, He Wang, Li Yi:
Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation. 854-864 - Fenggen Yu, Yiming Qian, Francisca Gil-Ureta, Brian Jackson, Eric P. Bennett, Hao Zhang:
HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling. 865-875 - Tianyi Shi, Xiaohuan Ding, Liang Zhang, Xin Yang:
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation. 876-886 - Xin Xu, Tianyi Xiong, Zheng Ding, Zhuowen Tu:
MasQCLIP for Open-Vocabulary Universal Image Segmentation. 887-898 - Kaining Ying, Qing Zhong, Weian Mao, Zhenhua Wang, Hao Chen, Lin Yuanbo Wu, Yifan Liu, Chengxiang Fan, Yunzhi Zhuge, Chunhua Shen:
CTVIS: Consistent Training for Online Video Instance Segmentation. 899-908 - Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet:
A Generalist Framework for Panoptic Segmentation of Images and Videos. 909-919 - Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian:
Spectrum-guided Multi-granularity Referring Video Object Segmentation. 920-930 - Changqi Wang, Haoyu Xie, Yuhui Yuan, Chong Fu, Xiangyu Yue:
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation. 931-942 - Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok:
Adaptive Superpixel for Active Learning in Semantic Segmentation. 943-953 - Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai:
Multimodal Variational Auto-encoder based Audio-Visual Segmentation. 954-965 - Yichen Yuan, Yifan Wang, Lijun Wang, Xiaoqi Zhao, Huchuan Lu, Yu Wang, Weibo Su, Lei Zhang:
Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation. 966-976 - Cheng-Kun Yang, Min-Hung Chen, Yung-Yu Chuang, Yen-Yu Lin:
2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision. 977-987 - Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz:
Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models. 988-998 - Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen:
SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. 999-1008 - Boyang Li, Yingqian Wang, Longguang Wang, Fei Zhang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo:
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection. 1009-1019 - Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang:
A Simple Framework for Open-Vocabulary Segmentation and Detection. 1020-1031 - Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool:
Source-free Depth for Object Pop-out. 1032-1042 - Amit Kumar Rana, Sabarinath Mahadevan, Alexander Hermans, Bastian Leibe:
DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer. 1043-1052 - Junzhang Chen, Xiangzhi Bai:
Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-Scale Dataset TBRSD. 1053-1063 - Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang:
Informative Data Mining for One-shot Cross-Domain Semantic Segmentation. 1064-1074 - Shan Wang, Chuong Nguyen, Jiawei Liu, Kaihao Zhang, Wenhan Luo, Yanhao Zhang, Sundaram Muthu, Fahira Afzal Maken, Hongdong Li:
Homography Guided Temporal Fusion for Road Line and Marking Segmentation. 1075-1085 - Cong Han, Yujie Zhong, Dengjie Li, Kai Han, Lin Ma:
Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network. 1086-1096 - Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
TCOVIS: Temporally Consistent Online Video Instance Segmentation. 1097-1107 - Liyi Chen, Chenyang Lei, Ruihuang Li, Shuai Li, Zhaoxiang Zhang, Lei Zhang:
FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation. 1108-1118 - Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila:
Stochastic Segmentation with Conditional Categorical Diffusion Models. 1119-1129 - Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang:
SegGPT: Towards Segmenting Everything In Context. 1130-1140 - Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao:
Open-vocabulary Panoptic Segmentation with Embedding Modulation. 1141-1150 - Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. 1151-1161 - Pitchaporn Rewatbowornwong, Nattanat Chatthee, Ekapol Chuangsuwanich, Supasorn Suwajanakorn:
Zero-guidance Segmentation Using Zero Segment Labels. 1162-1172 - Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes:
Model Calibration in Dense Classification with Adaptive Label Perturbation. 1173-1184 - Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li:
Enhanced Soft Label for Semi-Supervised Semantic Segmentation. 1185-1195 - Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang:
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. 1196-1205 - Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen:
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models. 1206-1217 - Rui Sun, Yuan Wang, Huayu Mai, Tianzhu Zhang, Feng Wu:
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation. 1218-1228 - Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel:
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. 1229-1238 - Cody Simons, Dripta S. Raychaudhuri, Sk Miraj Ahmed, Suya You, Konstantinos Karydis, Amit K. Roy-Chowdhury:
SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets. 1239-1249 - Yu-Hsing Hsieh, Guan-Sheng Chen, Shun-Xian Cai, Ting-Yun Wei, Huei-Fang Yang, Chu-Song Chen:
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision. 1250-1261 - Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu:
Coarse-to-Fine Amodal Segmentation with Shape Prior. 1262-1271 - Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu:
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation. 1272-1281 - Tao Zhang, Xingye Tian, Yu Wu, Shunping Ji, Xuebo Wang, Yuan Zhang, Pengfei Wan:
DVIS: Decoupled Video Instance Segmentation Framework. 1282-1291 - Ayça Takmaz, Jonas Schult, Irem Kaftan, Mertcan Akçay, Bastian Leibe, Robert W. Sumner, Francis Engelmann, Siyu Tang:
3D Segmentation of Humans in Point Clouds with Synthetic Data. 1292-1304 - Shijie Lian, Hua Li, Runmin Cong, Suqi Li, Wei Zhang, Sam Kwong:
WaterMask: Instance Segmentation for Underwater Imagery. 1305-1315 - Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Alexander G. Schwing, Joon-Young Lee:
Tracking Anything with Decoupled Video Segmentation. 1316-1326 - Chenming Li, Daoan Zhang, Wenjian Huang, Jianguo Zhang:
Cross Contrasting Feature Perturbation for Domain Generalization. 1327-1337 - Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua:
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance. 1338-1347 - Rabab Abdelfattah, Qing Guo, Xiaoguang Li, Xiaofeng Wang, Song Wang:
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification. 1348-1357 - Jongyoun Noh, Hyekang Park, Junghyup Lee, Bumsub Ham:
RankMixup: Ranking-Based Mixup Training for Network Calibration. 1358-1368 - Yang Lu, Yiliang Zhang, Bo Han, Yiu-Ming Cheung, Hanzi Wang:
Label-Noise Learning with Intrinsically Long-Tailed Data. 1369-1378 - Xingyu Liu, Sanping Zhou, Le Wang, Gang Hua:
Parallel Attention Interaction Network for Few-Shot Skeleton-based Action Recognition. 1379-1388 - Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang:
Rethinking Mobile Block for Efficient Attention-based Models. 1389-1400 - Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyeong Choi, Sanghyeok Lee, Hyunwoo J. Kim:
Read-only Prompt Optimization for Vision-Language Few-shot Learning. 1401-1411 - Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin:
Understanding Self-attention Mechanism via Dynamical System Perspective. 1412-1422 - Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Beng Chin Ooi, Siliang Tang, Yueting Zhuang:
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels. 1423-1432 - Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio:
What do neural networks learn in image classification? A frequency shortcut perspective. 1433-1442 - Tong Liang, Jim Davis:
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity. 1443-1452 - Reza Averly, Wei-Lun Chao:
Unified Out-Of-Distribution Detection: A Model-Specific Perspective. 1453-1463 - Myeongho Jeon, Myungjoo Kang, Joonseok Lee:
A Unified Framework for Robustness on Diverse Sampling Errors. 1464-1472 - Xuelin Zhu, Jian Liu, Weijia Liu, Jiawei Ge, Bo Liu, Jiuxin Cao:
Scene-Aware Label Graph Learning for Multi-Label Image Classification. 1473-1482 - Xiaobo Xia, Jiankang Deng, Wei Bao, Yuxuan Du, Bo Han, Shiguang Shan, Tongliang Liu:
Holistic Label Correction for Noisy Multi-Label Classification. 1483-1493 - Guiping Cao, Shengda Luo, Wenjian Huang, Xiangyuan Lan, Dongmei Jiang, Yaowei Wang, Jianguo Zhang:
Strip-MLP: Efficient Token Interaction for Vision MLP. 1494-1504 - Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang:
EQ-Net: Elastic Quantization Neural Networks. 1505-1514 - Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang:
Data-free Knowledge Distillation for Fine-grained Visual Categorization. 1515-1525 - Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen:
Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition. 1526-1535 - Isack Lee, Eungi Lee, Seok Bong Yoo:
Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition. 1536-1546 - Nan Zhou, Jiaxin Chen, Di Huang:
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration. 1547-1556 - Jaewoo Park, Jacky Chen Long Chai, Jaeho Yoon, Andrew Beng Jin Teoh:
Understanding the Feature Norm for Out-of-Distribution Detection. 1557-1567 - Ruoyi Du, Wenqing Yu, Heqing Wang, Ting-En Lin, Dongliang Chang, Zhanyu Ma:
Multi-View Active Fine-Grained Visual Recognition. 1568-1578 - Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu:
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models. 1579-1589 - Yurong Guo, Ruoyi Du, Yuan Dong, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma:
Task-aware Adaptive Learning for Cross-domain Few-shot Learning. 1590-1599 - Qidong Huang, Xiaoyi Dong, Dongdong Chen, Yinpeng Chen, Lu Yuan, Gang Hua, Weiming Zhang, Nenghai Yu:
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting. 1600-1610 - Shouwen Wang, Qian Wan, Xiang Xiang, Zhigang Zeng:
Saliency Regularization for Self-Training with Partial Annotations. 1611-1620 - Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu:
Learning Gabor Texture Features for Fine-Grained Recognition. 1621-1631 - Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Limin Wang, Yu Qiao:
UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding. 1632-1643 - Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Chen, Liang Lin, Guanbin Li:
RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels. 1644-1654 - Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng:
MetaGCD: Learning to Continually Learn in Generalized Category Discovery. 1655-1665 - Zhiqiang Shen:
FerKD: Surgical Label Adaptation for Efficient Distillation. 1666-1675 - Chengxin Liu, Hao Lu, Zhiguo Cao, Tongliang Liu:
Point-Query Quadtree for Crowd Counting, Localization, and More. 1676-1685 - Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh:
Nearest Neighbor Guidance for Out-of-Distribution Detection. 1686-1695 - HyunJae Lee, Heon Song, Hyeonsoo Lee, Gihyeon Lee, Suyeong Park, Donggeun Yoo:
Bayesian Optimization Meets Self-Distillation. 1696-1705 - Yu-Ming Tang, Yi-Xing Peng, Wei-Shi Zheng:
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining. 1706-1716 - Chengkai Hou, Jieyu Zhang, Tianyi Zhou:
When to Learn What: Model-Adaptive Data Augmentation Curriculum. 1717-1728 - Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed:
Parametric Information Maximization for Generalized Category Discovery. 1729-1739 - Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu:
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. 1740-1750 - Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu:
Domain Generalization via Rationale Invariance. 1751-1760 - Ziqing Wang, Yuetong Fang, Jiahang Cao, Qiang Zhang, Zhongrui Wang, Renjing Xu:
Masked Spiking Transformer. 1761-1771 - Wuxuan Shi, Mang Ye:
Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning. 1772-1781 - Yun Li, Zhe Liu, Saurav Jha, Lina Yao:
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. 1782-1791 - Shuo He, Guowu Yang, Lei Feng:
Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning. 1792-1801 - Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li:
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No. 1802-1812 - Benzhi Wang, Yang Yang, Jinlin Wu, Guo-Jun Qi, Zhen Lei:
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search. 1813-1822 - Chanho Ahn, Kikyung Kim, Ji-Won Baek, Jongin Lim, Seungju Han:
Sample-wise Label Confidence Incorporation for Learning with Noisy Labels. 1823-1832 - Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu:
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. 1833-1843 - Pingyu Wu, Wei Zhai, Yang Cao, Jiebo Luo, Zheng-Jun Zha:
Spatial-Aware Token for Weakly Supervised Object Localization. 1844-1854 - Sriram Balasubramanian, Soheil Feizi:
Towards Improved Input Masking for Convolutional Neural Networks. 1855-1865 - Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos:
PDiscoNet: Semantically consistent part discovery for fine-grained recognition. 1866-1876 - Divyansh Srivastava, Tuomas P. Oikarinen, Tsui-Wei Weng:
Corrupting Neuron Explanations of Deep Visual Features. 1877-1886 - Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski:
ICICLE: Interpretable Class Incremental Continual Learning. 1887-1898 - Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata:
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. 1899-1910 - Julia Hornauer, Adrian Holzbock, Vasileios Belagiannis:
Out-of-Distribution Detection for Monocular Depth Estimation. 1911-1921 - Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele:
Studying How to Efficiently and Effectively Guide Models with Explanations. 1922-1933 - Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher:
Rosetta Neurons: Mining the Common Units in a Model Zoo. 1934-1943 - Nanne van Noord:
Prototype-based Dataset Comparison. 1944-1954 - Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber:
Learning to Identify Critical States for Reinforcement Learning from Videos. 1955-1965 - Alexandros Stergiou, Nikos Deligiannis:
Leaping Into Memories: Space-Time Deep Feature Synthesis. 1966-1976 - Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao:
MAGI: Multi-Annotated Explanation-Guided Learning. 1977-1987 - Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang:
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. 1988-1998 - Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp:
Do DALL-E and Flamingo Understand Each Other? 1999-2010 - Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song:
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. 2011-2020 - Jingwei Zhang, Farzan Farnia:
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope. 2021-2030 - Kelu Yao, Jin Wang, Boyu Diao, Chao Li:
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View. 2031-2041 - Xue Wang, Zhibo Wang, Haiqin Weng, Hengchang Guo, Zhifei Zhang, Lu Jin, Tao Wei, Kui Ren:
Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks. 2042-2051 - Giyoung Jeon, Haedong Jeong, Jaesik Choi:
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling. 2052-2061 - Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro:
Learning Support and Trivial Prototypes for Interpretable Image Classification. 2062-2072 - Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein:
Visual Explanations via Iterated Integrated Attributions. 2073-2084 - Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba:
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. 2085-2095 - Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, Hongsheng Li:
Human Preference Score: Better Aligning Text-to-image Models with Human Preference. 2096-2105 - Elad Levi, Eli Brosh, Mykola Mykhailych, Meir Perez:
DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer. 2106-2115 - Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc N. Tran, Anh Tuan Tran:
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis. 2116-2127 - Michal J. Tyszkiewicz, Pascal Fua, Eduard Trulls:
GECCO: Geometrically-Conditioned Point Diffusion Models. 2128-2138 - Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein:
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. 2139-2150 - Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, Siyu Tang:
Guided Motion Diffusion for Controllable Human Motion Synthesis. 2151-2162 - Yanzhao Zheng, Yunzhou Shi, Yuhao Cui, Zhongzhou Zhao, Zhiling Luo, Wei Zhou:
COOP: Decoupling and Coupling of Whole-Body Grasping Pose Generation. 2163-2173 - Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek:
Zero-shot spatial layout conditioning for text-to-image diffusion models. 2174-2183 - Aibek Alanov, Vadim Titov, Maksim Nakhodnov, Dmitry P. Vetrov:
StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation. 2184-2194 - Jianfeng Xiang, Jiaolong Yang, Yu Deng, Xin Tong:
GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds. 2195-2205 - Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak:
Your Diffusion Model is Secretly a Zero-Shot Classifier. 2206-2217 - Jiali Cui, Ying Nian Wu, Tian Han:
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior. 2218-2227 - Liang Xu, Ziyang Song, Dongliang Wang, Jing Su, Zhicheng Fang, Chenjing Ding, Weihao Gan, Yichao Yan, Xin Jin, Xiaokang Yang, Wenjun Zeng, Wei Wu:
ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation. 2228-2238 - Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick:
Landscape Learning for Neural Network Inversion. 2239-2250 - Martin Nicolas Everaert, Marco Bocchio, Sami Arpa, Sabine Süsstrunk, Radhakrishna Achanta:
Diffusion in Style. 2251-2261 - Gene Chou, Yuval Bahat, Felix Heide:
Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions. 2262-2272 - Xuanmeng Zhang, Jianfeng Zhang, Rohan Chacko, Hongyi Xu, Guoxian Song, Yi Yang, Jiashi Feng:
GETAvatar: Generative Textured Meshes for Animatable Human Avatars. 2273-2282 - Aishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan:
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. 2283-2293 - Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong:
TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition. 2294-2305 - Yijun Qian, Jack Urbanek, Alexander G. Hauptmann, Jungdam Won:
Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions. 2306-2316 - Germán Barquero, Sergio Escalera, Cristina Palmero:
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction. 2317-2327 - Amir Hertz, Kfir Aberman, Daniel Cohen-Or:
Delta Denoising Score. 2328-2337 - Xingyu Chen, Yu Deng, Baoyuan Wang:
Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation. 2338-2348 - Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani:
DreamBooth3D: Subject-Driven Text-to-3D Generation. 2349-2359 - Shuang Song, Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin:
Feature Proliferation - the "Cancer" in StyleGAN and its Treatments. 2360-2370 - Berkay Kicanaoglu, Pablo Garrido, Gaurav Bharaj:
Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations. 2371-2382 - Jianfeng Xiang, Jiaolong Yang, Binbin Huang, Xin Tong:
3D-aware Image Generation using 2D Diffusion Models. 2383-2393 - Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang:
Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. 2394-2405 - Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma:
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption. 2406-2415 - Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su:
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. 2416-2425 - Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau:
Erasing Concepts from Diffusion Models. 2426-2436 - Ziyang Yuan, Yiming Zhu, Yu Li, Hongyu Liu, Chun Yuan:
Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding. 2437-2447 - Seunggyu Chang, Gihoon Kim, Hayeon Kim:
HairNeRF: Geometry-Aware Image Synthesis for Hairstyle Transfer. 2448-2458 - Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie:
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. 2459-2469 - Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen:
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model. 2470-2481 - Anwen Hu, Shizhe Chen, Liang Zhang, Qin Jin:
Explore and Tell: Embodied Visual Captioning in 3D Environments. 2482-2491 - Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su:
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. 2492-2503 - Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang:
Learning Trajectory-Word Alignments for Video-Language Tasks. 2504-2514 - Dizhan Xue, Shengsheng Qian, Changsheng Xu:
Variational Causal Inference Network for Explanatory Visual Question Answering. 2515-2525 - Moon Ye-Bin, Jisoo Kim, Hongyeob Kim, Kilho Son, Tae-Hyun Oh:
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation. 2526-2537 - Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo:
Segment Every Reference Object in Spatial and Temporal Spaces. 2538-2550 - Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang:
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models. 2551-2562 - Bumsoo Kim, Yeonsik Jo, Jinhyung Kim, Seung-Hwan Kim:
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining. 2563-2572 - Yifeng Zhang, Shi Chen, Qi Zhao:
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge. 2573-2583 - Junyu Bi, Daixuan Cheng, Ping Yao, Bochen Pang, Yuefeng Zhan, Chuanguang Yang, Yujing Wang, Hao Sun, Weiwei Deng, Qi Zhang:
VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching. 2584-2593 - Ioana Croitoru, Simion-Vlad Bogolin, Samuel Albanie, Yang Liu, Zhaowen Wang, Seunghyun Yoon, Franck Dernoncourt, Hailin Jin, Trung Bui:
Moment Detection in Long Tutorial Videos. 2594-2604 - Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao:
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. 2605-2615 - Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz:
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. 2616-2627 - Yixuan Wu, Zhao Zhang, Chi Xie, Feng Zhu, Rui Zhao:
Advancing Referring Expression Segmentation Beyond Single Image. 2628-2638 - Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao:
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning. 2639-2650 - Weizhen He, Weijie Chen, Binbin Chen, Shicai Yang, Di Xie, Luojun Lin, Donglian Qi, Yueting Zhuang:
Unsupervised Prompt Tuning for Text-Driven Object Detection. 2651-2661 - Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao:
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding. 2662-2671 - Sophia Gu, Christopher Clark, Aniruddha Kembhavi:
I can't believe there's no images! : Learning Visual Tasks Using Only Language Supervision. 2672-2683 - Guanghui Li, Mingqi Gao, Heng Liu, Xiantong Zhen, Feng Zheng:
Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples. 2684-2693 - Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Chen Change Loy:
MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions. 2694-2703 - Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo:
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. 2704-2714 - Xi Tian, Yong-Liang Yang, Qi Wu:
ShapeScaffolder: Structure-Aware 3D Shape Generation from Text. 2715-2724 - Vishaal Udandarao, Ankush Gupta, Samuel Albanie:
SuS-X: Training-Free Name-Only Transfer of Vision-Language Models. 2725-2736 - Yiwei Ma, Haowei Wang, Xiaoqing Zhang, Guannan Jiang, Xiaoshuai Sun, Weilin Zhuang, Jiayi Ji, Rongrong Ji:
X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance. 2737-2748 - Dongming Wu, Tiancai Wang, Yuang Zhang, Xiangyu Zhang, Jianbing Shen:
OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation. 2749-2758 - Yifan Yang, Weiquan Huang, Yixuan Wei, Houwen Peng, Xinyang Jiang, Huiqiang Jiang, Fangyun Wei, Yin Wang, Han Hu, Lili Qiu, Yuqing Yang:
Attentive Mask CLIP. 2759-2769 - Jiangtong Li, Li Niu, Liqing Zhang:
Knowledge Proxy Intervention for Deconfounded Video Question Answering. 2770-2781 - Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou:
UniVTG: Towards Unified Video-Language Temporal Grounding. 2782-2792 - Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang:
Self-supervised Cross-view Representation Reconstruction for Change Captioning. 2793-2803 - Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal:
Unified Coarse-to-Fine Alignment for Video-Text Retrieval. 2804-2815 - Yang Liu, Jiahua Zhang, Qingchao Chen, Yuxin Peng:
Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding. 2816-2826 - Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan:
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions. 2827-2838 - Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof:
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. 2839-2850 - Yaowei Li, Bang Yang, Xuxin Cheng, Zhihong Zhu, Hongxiang Li, Yuexian Zou:
Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation. 2851-2862 - Devaansh Gupta, Siddhant Kharbanda, Jiawei Zhou, Wanhua Li, Hanspeter Pfister, Donglai Wei:
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation. 2863-2874 - Morris Alper, Hadar Averbuch-Elor:
Learning Human-Human Interactions in Images from Weak Textual Supervision. 2875-2887 - Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang:
BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. 2888-2898 - Ziyu Zhu, Xiaojian Ma, Yixin Chen, Zhidong Deng, Siyuan Huang, Qing Li:
3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment. 2899-2909 - Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu:
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption. 2910-2919 - Cheng Shi, Sibei Yang:
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models. 2920-2929 - Wooyoung Kang, Jonghwan Mun, Sungjun Lee, Byungseok Roh:
Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning. 2930-2940 - Zi Qian, Xin Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu:
Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering. 2941-2950 - Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo:
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3. 2951-2963 - Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He:
Grounded Image Text Matching with Mismatched Relation Reasoning. 2964-2975 - Mohamed Ashraf Abdelsalam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Afsaneh Fazly:
GePSAn: Generative Procedure Step Anticipation in Cooking Videos. 2976-2985 - Chan Hee Song, Brian M. Sadler, Jiaman Wu, Wei-Lun Chao, Clayton Washington, Yu Su:
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models. 2986-2997 - Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang:
VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control. 2998-3008 - Manuele Barraco, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning. 3009-3019 - Jaemin Cho, Abhay Zala, Mohit Bansal:
DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models. 3020-3031 - Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan:
Learning Navigational Visual Representations with Semantic Map Supervision. 3032-3044 - Jiajin Tang, Ge Zheng, Jingyi Yu, Sibei Yang:
CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection. 3045-3055 - Nan Xi, Jingjing Meng, Junsong Yuan:
Open Set Video HOI detection from Action-centric Chain-of-Look Prompting. 3056-3066 - An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. 3067-3077 - Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim:
Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models. 3078-3089 - Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. 3090-3101 - Daechul Ahn, Daneul Kim, Gwangmo Song, Seung Hwan Kim, Honglak Lee, Dongyeop Kang, Jonghyun Choi:
Story Visualization by Online Text Augmentation with Context Memory. 3102-3112 - Junjie Fei, Teng Wang, Jinrui Zhang, Zhenyu He, Chengjie Wang, Feng Zheng:
Transferable Decoding with Visual Entities for Zero-Shot Image Captioning. 3113-3123 - Alex Jinpeng Wang, Kevin Qinghong Lin, David Junhao Zhang, Stan Weixian Lei, Mike Zheng Shou:
Too Large; Data Reduction for Vision-Language Pre-Training. 3124-3134 - Weihan Wang, Zhen Yang, Bin Xu, Juanzi Li, Yankui Sun:
ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation. 3135-3146 - Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, Tali Dekel:
Teaching CLIP to Count to Ten. 3147-3157 - Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han:
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. 3158-3169 - Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang:
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. 3170-3181 - Yixuan Li, Lihan Jiang, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, Bo Dai:
MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond. 3182-3192 - Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu:
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras. 3193-3203 - Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang:
ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field. 3204-3215 - Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei:
Rendering Humans from Object-Occluded Monocular Videos. 3216-3227 - Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin:
AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation. 3228-3238 - Yingfei Liu, Junjie Yan, Fan Jia, Shuailin Li, Aqi Gao, Tiancai Wang, Xiangyu Zhang:
PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images. 3239-3249 - Takuhiro Kaneko:
MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields. 3250-3260 - Zelin Gao, Weichen Dai, Yu Zhang:
Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields. 3261-3271 - Yiming Wang, Qin Han, Marc Habermann, Kostas Daniilidis, Christian Theobalt, Lingjie Liu:
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction. 3272-3283 - Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng:
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. 3284-3294 - Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal:
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching. 3295-3304 - Martin Bråtelund, Felix Rydell:
Compatibility of Fundamental Matrices for Complete Viewing Graphs. 3305-3313 - Pin Tang, Hai-Ming Xu, Chao Ma:
ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation. 3314-3324 - Jinqing Zhang, Yanan Zhang, Qingjie Liu, Yunhong Wang:
SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection. 3325-3334 - Ziying Song, Haiyue Wei, Lin Bai, Lei Yang, Caiyan Jia:
GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection. 3335-3346 - Mikhail Terekhov, Viktor Larsson:
Tangent Sampson Error: Fast Approximate Two-view Reprojection Error for Central Camera Models. 3347-3355 - Gilles Puy, Alexandre Boulch, Renaud Marlet:
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. 3356-3366 - Levente Hajder, Lajos Lóczi, Daniel Barath:
Fast Globally Optimal Surface Normal from an Affine Correspondence. 3367-3378 - Marcel C. Bühler, Kripasindhu Sarkar, Tanmay Shah, Gengyan Li, Daoye Wang, Leonhard Helminger, Sergio Orts-Escolano, Dmitry Lagun, Otmar Hilliges, Thabo Beeler, Abhimitra Meka:
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis. 3379-3390 - Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma:
Canonical Factors for Hybrid Neural Fields. 3391-3403 - Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang:
Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation. 3404-3414 - Annika Hagemann, Moritz Knorr, Christoph Stiller:
Deep geometry-aware camera self-calibration from video. 3415-3425 - Nathaniel Burgdorfer, Philippos Mordohai:
V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints. 3426-3435 - Yuxiang Cai, Yifan Zhu, Haiwei Zhang, Bo Ren:
Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera. 3436-3445 - Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo:
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields. 3446-3456 - Xiufeng Xie, Riccardo Gherardi, Zhihong Pan, Stephen Huang:
HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation. 3457-3467 - Jae-Hyeok Lee, Dae-Shik Kim:
ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization. 3468-3478 - Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang:
FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. 3479-3488 - Aarrushi Shandilya, Benjamin Attal, Christian Richardt, James Tompkin, Matthew O'Toole:
Neural Fields for Structured Lighting. 3489-3499 - Tao Xie, Ke Wang, Siyi Lu, Yukun Zhang, Kun Dai, Xiaoyu Li, Jie Xu, Li Wang, Lijun Zhao, Xinyu Zhang, Ruifeng Li:
CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network. 3500-3510 - Jiahui Zhang, Fangneng Zhan, Yingchen Yu, Kunhao Liu, Rongliang Wu, Xiaoqin Zhang, Ling Shao, Shijian Lu:
Pose-Free Neural Radiance Fields via Implicit Pose Regularization. 3511-3520 - Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang:
TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering. 3521-3532 - Haoyu Wu, Alexandros Graikos, Dimitris Samaras:
S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. 3533-3545 - Chaoran Tian, Weihong Pan, Zimo Wang, Mao Mao, Guofeng Zhang, Hujun Bao, Ping Tan, Zhaopeng Cui:
DPS-Net: Deep Polarimetric Stereo Depth Estimation. 3546-3556 - Changyong Shu, Jiajun Deng, Fisher Yu, Yifan Liu:
3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection. 3557-3566 - Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Deformable Neural Radiance Fields using RGB and Event Cameras. 3567-3577 - Jingyang Zhang, Yao Yao, Shiwei Li, Jingbo Liu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan:
NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation. 3578-3587 - Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang:
Hierarchical Prior Mining for Non-local Multi-View Stereo. 3588-3597 - Shihao Wang, Yingfei Liu, Tiancai Wang, Ying Li, Xiangyu Zhang:
Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection. 3598-3608 - Sara Rojas, Jesus Zarzar, Juan C. Pérez, Artsiom Sanakoyeu, Ali K. Thabet, Albert Pumarola, Bernard Ghanem:
Re-ReND: Real-time Rendering of NeRFs across Devices. 3609-3618 - Xiaoyang Huang, Yi Zhang, Kai Chen, Teng Li, Wenjun Zhang, Bingbing Ni:
Learning Shape Primitives via Implicit Convexity Regularization. 3619-3628 - Ruihong Yin, Sezer Karaoglu, Theo Gevers:
Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction. 3629-3638 - Zhiwei Zhang, Zhizhong Zhang, Qian Yu, Ran Yi, Yuan Xie, Lizhuang Ma:
LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment. 3639-3648 - Wenjie Ding, Limeng Qiao, Xi Qiu, Chi Zhang:
PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction. 3649-3659 - Ming Qian, Jincheng Xiong, Gui-Song Xia, Nan Xue:
Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs. 3660-3669 - Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia:
Mask-Attention-Free Transformer for 3D Instance Segmentation. 3670-3680 - Xiaoyong Lu, Yaping Yan, Tong Wei, Songlin Du:
Scene-Aware Feature Matching. 3681-3690 - Zhuoxiao Chen, Yadan Luo, Zheng Wang, Mahsa Baktashmotlagh, Zi Huang:
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. 3691-3703 - Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi:
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. 3704-3714 - Valter Piedade, Pedro Miraldo:
BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus. 3715-3724 - Felix Rydell, Elima Shehu, Angélica Torres:
Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences. 3725-3734 - Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang:
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation. 3735-3745 - Kaiqiang Xiong, Rui Peng, Zhe Zhang, Tianxing Feng, Jianbo Jiao, Feng Gao, Ronggang Wang:
CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning. 3746-3757 - Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu:
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction. 3758-3767 - Zitian Wang, Zehao Huang, Jiahui Fu, Naiyan Wang, Si Liu:
Object as Query: Lifting any 2D Object Detector to 3D Detection. 3768-3777 - Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang:
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection. 3778-3790 - Chuxin Wang, Wenfei Yang, Tianzhu Zhang:
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection. 3791-3801 - Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang:
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. 3802-3812 - Lvmin Zhang, Anyi Rao, Maneesh Agrawala:
Adding Conditional Control to Text-to-Image Diffusion Models. 3813-3824 - Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi:
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. 3825-3835 - Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta:
Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. 3836-3845 - Chengliang Zhong, Yuhang Zheng, Yupeng Zheng, Hao Zhao, Li Yi, Xiaodong Mu, Ling Wang, Pengfei Li, Guyue Zhou, Chao Yang, Xinliang Zhang, Jian Zhao:
3D Implicit Transporter for Temporally Consistent Keypoint Discovery. 3846-3857 - Nathan Mankovich, Tolga Birdal:
Chordal Averaging on Flag Manifolds and Its Applications. 3858-3867 - Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang:
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning. 3868-3879 - Zhiyu Huang, Haochen Liu, Chen Lv:
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. 3880-3890 - Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan:
PPR: Physically Plausible Reconstruction from Monocular Videos. 3891-3901 - Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, Taku Komura:
Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction. 3902-3912 - Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham:
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration. 3913-3922 - Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu:
PGFed: Personalize Each Client's Global Objective for Federated Learning. 3923-3933 - Angelina Wang, Olga Russakovsky:
Overwriting Pretrained Bias with Finetuning Data. 3934-3945 - Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre:
ITI-Gen: Inclusive Text-to-Image Generation. 3946-3957 - Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. 3958-3968 - Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu:
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events. 3969-3979 - Irena Gao, Gabriel Ilharco, Scott M. Lundberg, Marco Túlio Ribeiro:
Adaptive Testing of Computer Vision Models. 3980-3991 - Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloé Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross B. Girshick:
Segment Anything. 3992-4003 - Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel:
Shape Analysis of Euclidean Curves under Frenet-Serret Framework. 4004-4013 - Shyam Nandan Rai, Fabio Cermelli, Dario Fontanel, Carlo Masone, Barbara Caputo:
Unmasking Anomalies in Road-Scene Segmentation. 4014-4023 - Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang:
High Quality Entity Segmentation. 4024-4033 - Haochen Wang, Xiaolong Jiang, Xu Tang, Yao Hu, Cilin Yan, Weidi Xie, Shuai Wang, Efstratios Gavves:
Towards Open-Vocabulary Video Instance Segmentation. 4034-4043 - Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo:
Beyond One-to-One: Rethinking the Referring Image Segmentation. 4044-4054 - Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu:
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification. 4055-4064 - Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. 4065-4076 - Pandeng Li, Chen-Wei Xie, Liming Zhao, Hongtao Xie, Jiannan Ge, Yun Zheng, Deli Zhao, Yongdong Zhang:
Progressive Spatio-Temporal Prototype Matching for Text-Video Retrieval. 4077-4087 - Junwen He, Yifan Wang, Lijun Wang, Huchuan Lu, Bin Luo, Jun-Yan He, Jin-Peng Lan, Yifeng Geng, Xuansong Xie:
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning. 4088-4098 - Liulei Li, Wenguan Wang, Yang Yi:
LogicSeg: Parsing Visual Semantics with Neural Logic Learning and Reasoning. 4099-4110 - Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar:
ASIC: Aligning Sparse in-the-wild Image Collections. 4111-4122 - Yael Vinker, Yuval Alaluf, Daniel Cohen-Or, Ariel Shamir:
CLIPascene: Scene Sketching with Different Types and Levels of Abstraction. 4123-4133 - Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs:
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation. 4134-4145 - Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin:
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. 4146-4158 - Zhang Chen, Zhong Li, Liangchen Song, Lele Chen, Jingyi Yu, Junsong Yuan, Yi Xu:
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions. 4159-4171 - William Peebles, Saining Xie:
Scalable Diffusion Models with Transformers. 4172-4182 - Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi:
Texture Generation on 3D Meshes with Point-UV Diffusion. 4183-4193 - Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein:
Generative Novel View Synthesis with 3D-Aware Diffusion Models. 4194-4206 - Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li:
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning. 4207-4216 - Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun:
VQ3D: Learning a 3D-Aware Generative Model on ImageNet. 4217-4227 - Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen:
Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection. 4228-4237 - Kushagra Pandey, Stephan Mandt:
A Complete Recipe for Diffusion Generative Models. 4238-4249 - Yiqi Zhong, Luming Liang, Ilya Zharkov, Ulrich Neumann:
MMVP: Motion-Matrix-based Video Prediction. 4250-4260 - Tomer Stolik, Itai Lang, Shai Avidan:
SAGA: Spectral Adversarial Geometric Attack on 3D Meshes. 4261-4271 - Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun:
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. 4272-4281 - Naufal Suryanto, Yongsu Kim, Harashta Tatimma Larasati, Hyoeun Kang, Thi-Thu-Huong Le, Yoonyoung Hong, Hunmin Yang, Se-Yoon Oh, Howon Kim:
ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion. 4282-4291 - Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi:
Frequency-aware GAN for Adversarial Manipulation Generation. 4292-4301 - Heeseon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, Changick Kim:
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models. 4302-4311 - Han Fang, Jiyi Zhang, Yupeng Qiu, Jiayang Liu, Ke Xu, Chengfang Fang, Ee-Chien Chang:
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence. 4312-4321 - Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin:
Downstream-agnostic Adversarial Examples. 4322-4332 - Zhigang Su, Dawei Zhou, Nannan Wang, Decheng Liu, Zhen Wang, Xinbo Gao:
Hiding Visual Information via Obfuscating Adversarial Perturbations. 4333-4343 - Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang:
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning. 4344-4355 - Kaixun Jiang, Zhaoyu Chen, Hao Huang, Jiafeng Wang, Dingkang Yang, Bo Li, Yan Wang, Wenqiang Zhang:
Efficient Decision-based Black-box Patch Attacks on Video Recognition. 4356-4366 - Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura:
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. 4367-4378 - Qingwen Bu, Dong Huang, Heming Cui:
Towards Building More Robust Models with Frequency Bias. 4379-4388 - Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen:
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack. 4389-4400 - Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang:
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. 4401-4411 - Xuannan Liu, Yaoyao Zhong, Yuhang Zhang, Lixiong Qin, Weihong Deng:
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation. 4412-4421 - Xingxing Wei, Yao Huang, Yitong Sun, Jie Yu:
Unified Adversarial Patch for Cross-modal Attacks in the Physical World. 4422-4431 - Donghua Wang, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen:
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World. 4432-4442 - Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu:
Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. 4443-4454 - Ka-Chun Shum, Hong-Wing Pang, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung:
Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration. 4455-4465 - Bin Chen, Jia-Li Yin, Shukai Chen, Bohao Chen, Ximeng Liu:
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability. 4466-4475 - Byung-Kwan Lee, Junho Kim, Yong Man Ro:
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning. 4476-4486 - Yaguan Qian, Shuke He, Chenyu Zhao, Jiaqiang Sha, Wei Wang, Bin Wang:
LEA2: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions. 4487-4498 - Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen:
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective. 4499-4508 - Ruyi Ding, Shijin Duan, Xiaolin Xu, Yunsi Fei:
VertexSerum: Poisoning Graph Neural Networks for Link Inference. 4509-4518 - Thibault Maho, Seyed-Mohsen Moosavi-Dezfooli, Teddy Furon:
How to choose your best allies for a transferable attack? 4519-4528 - Dongyoon Yang, Insung Kong, Yongdai Kim:
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation. 4529-4538 - Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu:
AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models. 4539-4549 - Tao Zhou, Qi Ye, Wenhan Luo, Kaihao Zhang, Zhiguo Shi, Jiming Chen:
F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives. 4550-4560 - Lukas Struppek, Dominik Hintersdorf, Kristian Kersting:
Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis. 4561-4573 - Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang, Hubert P. H. Shum:
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient. 4574-4583 - Xiaosen Wang, Zeliang Zhang, Jianping Zhang:
Structure Invariant Transformation for better Adversarial Transferability. 4584-4596 - Min Liu, Alberto L. Sangiovanni-Vincentelli, Xiangyu Yue:
Beating Backdoor Attack at Its Own Game. 4597-4606 - Wenshuo Ma, Yidong Li, Xiaofeng Jia, Wei Xu:
Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients. 4607-4616 - Nabeel Hingun, Chawin Sitawarin, Jerry Li, David A. Wagner:
REAP: A Large-Scale Realistic Adversarial Patch Benchmark. 4617-4628 - Siquan Huang, Yijiang Li, Chong Chen, Leyu Shi, Ying Gao:
Multi-metrics adaptively identifies backdoors in Federated learning. 4629-4639 - Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
Backpropagation Path Search On Adversarial Transferability. 4640-4650 - Teresa Yeo, Oguzhan Fatih Kar, Zahra Sodagar, Amir Zamir:
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. 4651-4664 - Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia:
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. 4665-4675 - Junfeng Guo, Ang Li, Lixu Wang, Cong Liu:
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning. 4676-4685 - Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei:
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. 4686-4696 - Mengnan Zhao, Lihe Zhang, Yuqiu Kong, Baocai Yin:
Fast Adversarial Training with Smooth Convergence. 4697-4706 - Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr:
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. 4707-4717 - Hegui Zhu, Yuchen Ren, Xiaoyan Sui, Lianping Yang, Wuming Jiang:
Boosting Adversarial Transferability via Gradient Relevance Attack. 4718-4727 - Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia:
Towards Robust Model Watermark via Reducing Parametric Vulnerability. 4728-4738 - Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming:
TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization. 4739-4748 - Guangnian Wan, Haitao Du, Xuejing Yuan, Jun Yang, Meiling Chen, Jie Xu:
Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation. 4749-4758 - Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu:
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. 4759-4770 - Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman:
FACTS: First Amplify Correlations and Then Slice to Discover Bias. 4771-4781 - Yutong Wu, Xingshuo Han, Han Qiu, Tianwei Zhang:
Computation and Data Efficient Backdoor Attacks. 4782-4791 - Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu:
Global Balanced Experts for Federated Long-Tailed Learning. 4792-4802 - Qucheng Peng, Ce Zheng, Chen Chen:
Source-free Domain Adaptive Human Pose Estimation. 4803-4813 - Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky:
Gender Artifacts in Visual Datasets. 4814-4825 - Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp:
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. 4826-4836 - Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
zPROBE: Zero Peek Robustness Checks for Federated Learning. 4837-4847 - Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia:
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. 4848-4858 - Chen Yang, Meilu Zhu, Yifan Liu, Yixuan Yuan:
FedPD: Federated Open Set Recognition with Parameter Disentanglement. 4859-4868 - Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin:
MUter: Machine Unlearning on Adversarially Trained Models. 4869-4879 - William Thong, Przemyslaw Joniak, Alice Xiang:
Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color. 4880-4890 - Jannik Brinkmann, Paul Swoboda, Christian Bartelt:
A Multidimensional Analysis of Social Biases in Vision Transformers. 4891-4900 - Jiaxuan Li, Duc Minh Vo, Hideki Nakayama:
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts. 4901-4911 - Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang:
Rethinking Data Distillation: Do Not Overlook Calibration. 4912-4922 - Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione:
Mining bias-target Alignment from Voronoi Cells. 4923-4932 - Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma:
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification. 4933-4943 - Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia:
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization. 4944-4953 - Hao Liang, Pietro Perona, Guha Balakrishnan:
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. 4954-4964 - Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen:
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. 4965-4975 - Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. 4976-4985 - Ziheng Huang, Boheng Li, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang:
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks. 4986-4996 - Xiuwen Fang, Mang Ye, Xiyuan Yang:
Robust Heterogeneous Federated Learning under Data Corruption. 4997-5007 - Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv:
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. 5008-5017 - Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan:
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. 5018-5028 - Wenxuan Zeng, Meng Li, Wenjie Xiong, Tong Tong, Wen-Jie Lu, Jin Tan, Runsheng Wang, Ru Huang:
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention. 5029-5040 - Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang:
Identification of Systematic Errors of Image Classifiers on Rare Subgroups. 5041-5050 - Nadiya Shvai, Arcadi Llanza Carmona, Amir Nakib:
Adaptive Image Anonymization in the Context of Image Classification with Neural Networks. 5051-5060 - Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin:
When Do Curricula Work in Federated Learning? 5061-5071 - Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao:
Domain Specified Optimization for Deployment Authorization. 5072-5082 - Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan:
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition. 5083-5092 - Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel:
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation. 5093-5102 - Chi Zhang, Xiaoman Zhang, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu:
Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning. 5103-5112 - Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi:
Inspecting the Geographical Representativeness of Images from Text-to-Image Models. 5113-5124 - Yunqian Wen, Bo Liu, Jingyi Cao, Rong Xie, Li Song:
Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability. 5125-5134 - Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren:
Exploring the Benefits of Visual Prompting in Differential Privacy. 5135-5144 - Lei Zhang, Zhibo Wang, Xiaowei Dong, Yunhe Feng, Xiaoyi Pang, Zhifei Zhang, Kui Ren:
Towards Fairness-aware Adversarial Network Pruning. 5145-5154 - Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding:
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. 5155-5165 - Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui:
Flatness-Aware Minimization for Domain Generalization. 5166-5179 - Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. 5180-5189 - Gorjan Radevski, Dusan Grujicic, Matthew B. Blaschko, Marie-Francine Moens, Tinne Tuytelaars:
Multimodal Distillation for Egocentric Action Recognition. 5190-5201 - Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin J. Dana, Tal Hassner:
Self-Supervised Object Detection from Egocentric Videos. 5202-5214 - Lorenzo Mur-Labadia, Josechu J. Guerrero, Ruben Martinez-Cantin:
Multi-label affordance mapping from egocentric vision. 5215-5226 - Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani:
Ego-Only: Egocentric Action Detection without Exocentric Transferring. 5227-5238 - Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas:
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos. 5239-5249 - Yue Xu, Yong-Lu Li, Zhemin Huang, Michael Xu Liu, Cewu Lu, Yu-Wing Tai, Chi-Keung Tang:
EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding. 5250-5261 - Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang:
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. 5262-5274 - Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio A. Vela:
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis. 5275-5284 - Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf:
Pairwise Similarity Learning is SimPLE. 5285-5295 - Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu:
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. 5296-5306 - Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung:
Generalizable Neural Fields as Partially Observed Neural Processes. 5307-5316 - Fabian Mentzer, Eirikur Agustsson, Michael Tschannen:
M2T: Masking Transformers Twice for Faster Decoding. 5317-5326 - Bill Psomas, Ioannis Kakogeorgiou, Konstantinos Karantzalos, Yannis Avrithis:
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit? 5327-5337 - Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen, Dahua Lin:
Improving Pixel-based MIM by Reducing Wasted Modeling Capability. 5338-5349 - Kechun Liu, Yitong Jiang, Inchang Choi, Jinwei Gu:
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration. 5350-5360 - Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales:
Quality Diversity for Visual Pre-Training. 5361-5371 - Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou:
Subclass-balancing Contrastive Learning for Long-tailed Recognition. 5372-5384 - Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann:
Mastering Spatial Graph Prediction of Road Networks. 5385-5395 - Max van Spengler, Erwin Berkhout, Pascal Mettes:
Poincaré ResNet. 5396-5405 - Xiaotong Li, Zixuan Hu, Yixiao Ge, Ying Shan, Ling-Yu Duan:
Exploring Model Transferability through the Lens of Potential Energy. 5406-5415 - Yixuan Wei, Han Hu, Zhenda Xie, Ze Liu, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo:
Improving CLIP Fine-tuning Performance. 5416-5426 - Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele:
Unsupervised Manifold Linearizing and Clustering. 5427-5438 - Yeti Ziya Gürbüz, Ozan Sener, A. Aydin Alatan:
Generalized Sum Pooling for Metric Learning. 5439-5450 - Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han:
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis. 5451-5460 - Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra:
The effectiveness of MAE pre-pretraining for billion-scale pretraining. 5461-5471 - Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
Token-Label Alignment for Vision Transformers. 5472-5481 - Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet:
Efficiently Robustify Pre-Trained Models. 5482-5492 - Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang, Jinghan Gao, Dedong Liu, Jie Xu, Lijun Zhao, Ruifeng Li:
OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes. 5493-5503 - Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang:
Feature Prediction Diffusion Model for Video Anomaly Detection. 5504-5514 - Chia-Hao Chen, Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Song-Hai Zhang:
Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts. 5515-5525 - Zijian Wang, Yadan Luo, Liang Zheng, Zi Huang, Mahsa Baktashmotlagh:
How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. 5526-5535 - Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu:
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. 5536-5547 - Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens:
Perceptual Grouping in Contrastive Vision-Language Models. 5548-5561 - Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez:
Fully Attentional Networks with Self-emerging Token Labeling. 5562-5572 - Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang, Yanyun Qu, Guannan Jiang, Yuan Xie:
Instance and Category Supervision are Alternate Learners for Continual Learning. 5573-5582 - Hong Yan, Yang Liu, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin:
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training. 5583-5595 - David Fan, Jue Wang, Shuai Liao, Yi Zhu, Vimal Bhat, Hector J. Santos-Villalobos, Rohith MV, Xinyu Li:
Motion-Guided Masking for Spatiotemporal Representation Learning. 5596-5606 - Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang:
Data Augmented Flatness-aware Gradient Projection for Continual Learning. 5607-5616 - Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. 5617-5627 - Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang:
BiViT: Extremely Compressed Binary Vision Transformers. 5628-5640 - Sepehr Sameni, Simon Jenni, Paolo Favaro:
Spatio-Temporal Crop Aggregation for Video Representation Learning. 5641-5651 - Hanjae Kim, Jiyoung Lee, Seongheon Park, Kwanghoon Sohn:
Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning. 5652-5662 - Shengjiang Quan, Masahiro Hirano, Yuji Yamakawa:
Semantic Information in Contrastive Learning. 5663-5673 - Xuehan Bai, Yan Li, Yanhua Cheng, Wenjie Yang, Quan Chen, Han Li:
Cross-Domain Product Representation Learning for Rich-Content E-Commerce. 5674-5683 - Haoyang Cheng, Haitao Wen, Xiaoliang Zhang, Heqian Qiu, Lanxiao Wang, Hongliang Li:
Contrastive Continuity on Augmentation Stability Rehearsal for Continual Self-Supervised Learning. 5684-5694 - Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Pinar Duygulu:
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness. 5695-5705 - Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu:
Unleashing Text-to-Image Diffusion Models for Visual Perception. 5706-5716 - Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh:
Efficient Controllable Multi-Task Architectures. 5717-5728 - Ruihan Xu, Haokui Zhang, Wenze Hu, Shiliang Zhang, Xiaoyu Wang:
ParCNetV2: Oversized Kernel with Enhanced Attention*. 5729-5739 - Zihao Sun, Yu Sun, Longxing Yang, Shun Lu, Jilin Mei, Wenxiao Zhao, Yu Hu:
Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS. 5740-5750 - Fudong Lin, Summer Crawford, Kaleb Guillot, Yihe Zhang, Yan Chen, Xu Yuan, Li Chen, Shelby Williams, Robert Minvielle, Xiangming Xiao, Drew Gholson, Nicolas Ashwell, Tri Setiyono, Brenda Tubana, Lu Peng, Magdy A. Bayoumi, Nian-Feng Tzeng:
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. 5751-5761 - Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan:
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization. 5762-5772 - Sudong Cai:
IIEU: Rethinking Neural Feature Activation from Decision-Making. 5773-5783 - Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh:
Scratching Visual Transformer's Back with Uniform Attention. 5784-5795 - Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang:
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. 5796-5805 - Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang:
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. 5806-5817 - Jongbin Ryu, Dongyoon Han, Jongwoo Lim:
Gramian Attention Heads are Strong yet Efficient Vision Learners. 5818-5828 - Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang:
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. 5829-5841 - Jinhong Wang, Yi Cheng, Jintai Chen, Tingting Chen, Danny Chen, Jian Wu:
Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction. 5842-5852 - Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu:
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning. 5853-5862 - Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Chang Liu, Haoyi Duan, Xiangyang Ji, Jie Chen:
LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization. 5863-5873 - Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das:
Exemplar-Free Continual Transformer with Convolutions. 5874-5884 - Yongjie Chen, Hongmin Liu, Haoran Yin, Bin Fan:
Building Vision Transformers with Hierarchy Aware Feature Aggregation. 5885-5895 - Mingyang Zhang, Xinyi Yu, Haodong Zhao, Linlin Ou:
ShiftNAS: Improving One-shot NAS via Probability Shift. 5896-5905 - Akshaya Athwale, Arman Afrasiyabi, Justin Lagüe, Ichrak Shili, Ola Ahmad, Jean-François Lalonde:
DarSwin: Distortion Aware Radial Swin Transformer. 5906-5915 - Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan:
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation. 5916-5926 - Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao:
FDViT: Improve the Hierarchical Architecture of Vision Transformer. 5927-5937 - Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang:
FLatten Transformer: Vision Transformer using Focused Linear Attention. 5938-5948 - Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang:
MixPath: A Unified Approach for One-shot Neural Architecture Search. 5949-5958 - Jingtao Wang, Zengjie Song, Yuxi Wang, Jun Xiao, Yuran Yang, Shuqi Mei, Zhaoxiang Zhang:
SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow. 5959-5968 - Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang:
Dynamic Perceiver for Efficient Visual Recognition. 5969-5979 - Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang:
SG-Former: Self-guided Transformer with Evolving Token Reallocation. 5980-5991 - Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin:
Scale-Aware Modulation Meet Transformer. 5992-6003 - Wenze Liu, Hao Lu, Hongtao Fu, Zhiguo Cao:
Learning to Upsample by Learning to Sample. 6004-6014 - Yansong Peng, Yueyi Zhang, Zhiwei Xiong, Xiaoyan Sun, Feng Wu:
GET: Group Event Transformer for Event-Based Vision. 6015-6025 - Zhipeng Huang, Zhizheng Zhang, Cuiling Lan, Zheng-Jun Zha, Yan Lu, Baining Guo:
Adaptive Frequency Filters As Efficient Global Token Mixers. 6026-6036 - Haokui Zhang, Wenze Hu, Xiaoyu Wang:
Fcaformer: Forward Cross Attention in Hybrid Vision Transformer. 6037-6046 - Yaolei Qi, Yuting He, Xiaoming Qi, Yuan Zhang, Guanyu Yang:
Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation. 6047-6056 - Seyedalireza Khoshsirat, Chandra Kambhamettu:
Sentence Attention Blocks for Answer Grounding. 6057-6067 - Quang Hieu Vo, Linh-Tam Tran, Sung-Ho Bae, Lok-Won Kim, Choong Seon Hong:
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree. 6068-6077 - Ilwi Yun, Chanyong Shin, Hyunku Lee, Hyuk-Jae Lee, Chae-Eun Rhee:
EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation. 6078-6089 - Guhnoo Yun, Juhan Yoo, Kijung Kim, Jeongho Lee, Dong Hwan Kim:
SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation. 6090-6101 - Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song:
ModelGiF: Gradient Fields for Model Functional Distance. 6102-6112 - Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Ismail Ben Ayed, Christian Desrosiers:
ClusT3: Information Invariant Test-Time Training. 6113-6112 - Borui Zhao, Renjie Song, Jiajun Liang:
Cumulative Spatial Knowledge Distillation for Vision Transformers. 6123-6132 - Jong-Hyeon Baek, Daehyun Kim, Su-Min Choi, Hyo-Jun Lee, Hanul Kim, Yeong Jun Koh:
Luminance-aware Color Transform for Multiple Exposure Correction. 6133-6142 - Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo:
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. 6143-6153 - Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh:
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. 6154-6165 - Borui Zhao, Quan Cui, Renjie Song, Jiajun Liang:
DOT: A Distillation-Oriented Trainer. 6166-6175 - Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen:
Extensible and Efficient Proxy for Neural Architecture Search. 6176-6187 - Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu:
Learning to Transform for Generalizable Instance-wise Invariance. 6188-6198 - Alexandre Kirchmeyer, Jia Deng:
Convolutional Networks with Oriented 1D Kernels. 6199-6209 - Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, Hanwang Zhang:
Random Boxes Are Open-world Object Detectors. 6210-6220 - Yuxin Fang, Shusheng Yang, Shijie Wang, Yixiao Ge, Ying Shan, Xinggang Wang:
Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection. 6221-6230 - Qiming Xia, Jinhao Deng, Chenglu Wen, Hai Wu, Shaoshuai Shi, Xin Li, Cheng Wang:
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations. 6231-6240 - Minying Zhang, Tianpeng Bu, Lulu Hu:
A Dynamic Dual-Processing Object Detection Framework Inspired by the Brain's Recognition Mechanism. 6241-6251 - Yilong Lv, Min Li, Yujie He, Zhuzhen He, Shaopeng Li, Aitao Yang:
Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection. 6252-6261 - Declan McIntosh, Alexandra Branzan Albu:
Inter-Realization Channels: Unsupervised Anomaly Detection Beyond One-Class Classification. 6262-6272 - Shuai Wang, Yao Teng, Limin Wang:
Deep Equilibrium Object Detection. 6273-6283 - Jing Zhao, Li Sun, Qingli Li:
RecursiveDet: End-to-End Region-based Recursive Object Detection. 6284-6293 - Xiang Yuan, Gong Cheng, Kebing Yan, Qinghua Zeng, Junwei Han:
Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning. 6294-6304 - Shenghao Fu, Junkai Yan, Yipeng Gao, Xiaohua Xie, Wei-Shi Zheng:
ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation. 6305-6315 - Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue:
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. 6316-6327 - Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan:
Generative Prompt Model for Weakly Supervised Object Localization. 6328-6338 - Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang:
UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors. 6339-6349 - Jaehyeok Bae, Jae-Han Lee, Seyun Kim:
PNI: Industrial Anomaly Detection using Position and Neighborhood Information. 6350-6360 - Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang:
Masked Autoencoders Are Stronger Knowledge Distillers. 6361-6370 - Ziyu Li, Jingming Guo, Tongtong Cao, Bingbing Liu, Wankou Yang:
GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds. 6371-6380 - Lingyu Xiao, Xiang Li, Sen Yang, Wankou Yang:
ADNet: Lane Shape Prediction via Anchor Decomposition. 6381-6390 - Qipeng Liu, Luojun Lin, Zhifeng Shen, Zhifeng Yang:
Periodically Exchange Teacher-Student for Source-Free Object Detection. 6391-6401 - Xinzhu Ma, Yongtao Wang, Yinmin Zhang, Zhiyi Xia, Yuan Meng, Zhihui Wang, Haojie Li, Wanli Ouyang:
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection. 6402-6412 - Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu:
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. 6413-6423 - Hewei Guo, Liping Ren, Jingjing Fu, Yuwang Wang, Zhizheng Zhang, Cuiling Lan, Haoqian Wang, Xinwen Hou:
Template-guided Hierarchical Feature Restoration for Anomaly Detection. 6424-6435 - Yuting Wang, Velibor Ilic, Jiatong Li, Branislav Kisacanin, Vladimir Pavlovic:
ALWOD: Active Learning for Weakly-Supervised Object Detection. 6436-6446 - Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim:
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. 6447-6456 - Ting Lei, Fabian Caba, Qingchao Chen, Hailin Jin, Yuxin Peng, Yang Liu:
Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory. 6457-6467 - Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang:
Detection Transformer with Stable Matching. 6468-6477 - Liangqi Li, Jiaxu Miao, Dahu Shi, Wenming Tan, Ye Ren, Yi Yang, Shiliang Pu:
Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection. 6478-6487 - Tri Cao, Jiawen Zhu, Guansong Pang:
Anomaly Detection under Distribution Shift. 6488-6500 - Aritra Bhowmik, Yu Wang, Nora Baka, Martin R. Oswald, Cees G. M. Snoek:
Detecting Objects with Context-Likelihood Graphs and Graph Refinement. 6501-6510 - Yeonghwan Song, Seokwoo Jang, Dina Katabi, Jeany Son:
Unsupervised Object Localization with Representer Point Selection. 6511-6521 - Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu:
DETR Does Not Need Multi-Scale or Locality Design. 6522-6531 - Qiaoyi Su, Yuhong Chou, Yifan Hu, Jianing Li, Shijie Mei, Ziyang Zhang, Guoqi Li:
Deep Directly-Trained Spiking Neural Networks for Object Detection. 6532-6542 - David Schinagl, Georg Krispel, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof:
GACE: Geometry Aware Confidence Enhancement for Black-box 3D Object Detectors on LiDAR-Data. 6543-6553 - Yao Teng, Haisong Liu, Sheng Guo, Limin Wang:
StageInteractor: Query-based Object Detector with Cross-stage Interaction. 6554-6565 - Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang:
Adaptive Rotated Convolution for Rotated Object Detection. 6566-6577 - Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li:
Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection. 6578-6587 - Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo:
Exploring Transformers for Open-world Instance Segmentation. 6588-6598 - Xiaojun Tang, Junsong Fan, Chuanchen Luo, Zhaoxiang Zhang, Man Zhang, Zongyuan Yang:
DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization. 6599-6609 - Qiang Chen, Xiaokang Chen, Jian Wang, Shan Zhang, Kun Yao, Haocheng Feng, Junyu Han, Errui Ding, Gang Zeng, Jingdong Wang:
Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment. 6610-6619 - Zhiwei Chen, Jinren Ding, Liujuan Cao, Yunhang Shen, Shengchuan Zhang, Guannan Jiang, Rongrong Ji:
Category-aware Allocation Transformer for Weakly Supervised Object Localization. 6620-6629 - Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li:
The Devil is in the Crack Orientation: A New Perspective for Crack Detection. 6630-6640 - Yu Pei, Xian Zhao, Hao Li, Jingyuan Ma, Jingwei Zhang, Shiliang Pu:
Clusterformer: Cluster-based Transformer for 3D Object Detection in Point Clouds. 6641-6650 - Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang:
Less is More: Focus Attention for Efficient DETR. 6651-6660 - Hongyang Li, Hao Zhang, Zhaoyang Zeng, Shilong Liu, Feng Li, Tianhe Ren, Lei Zhang:
DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting. 6661-6670 - Ke Zhu, Minghao Fu, Jianxin Wu:
Multi-Label Self-Supervised Learning with Scene Images. 6671-6680 - Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu:
Cascade-DETR: Delving into High-Quality Universal Object Detection. 6681-6691 - Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao:
Representation Disparity-aware Distillation for 3D Object Detection. 6692-6701 - Khurram Azeem Hashmi, Goutham Kallempudi, Didier Stricker, Muhammad Zeshan Afzal:
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision. 6702-6712 - Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li:
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. 6713-6724 - Zhuofan Zong, Guanglu Song, Yu Liu:
DETRs with Collaborative Hybrid Assignments Training. 6725-6735 - Jiong Wang, Huiming Zhang, Haiwen Hong, Xuan Jin, Yuan He, Hui Xue, Zhou Zhao:
Open-Vocabulary Object Detection With an Open Corpus. 6736-6746 - Saksham Suri, Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining. 6747-6758 - Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia:
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. 6759-6768 - Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang:
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. 6769-6779 - Xincheng Yao, Ruoqi Li, Zefeng Qian, Yan Luo, Chongyang Zhang:
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection. 6780-6790 - Junkai Xu, Liang Peng, Haoran Chen, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai:
MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection. 6791-6801 - Feng Liu, Xiaosong Zhang, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye:
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection. 6802-6811 - Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles:
Generating Dynamic Kernels via Transformers for Lane Detection. 6812-6821 - Lu Zhang, Chenbo Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou:
Meta-ZSDETR: Zero-shot DETR with Meta-learning. 6822-6831 - Di Wu, Pengfei Chen, Xuehui Yu, Guorong Li, Zhenjun Han, Jianbin Jiao:
Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes. 6832-6842 - Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan:
AlignDet: Aligning Pre-training and Fine-tuning in Object Detection. 6843-6853 - Zhengzhong Tu, Peyman Milanfar, Hossein Talebi:
MULLER: Multilayer Laplacian Resizer for Vision. 6854-6864 - Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang:
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection. 6865-6874