default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID35th BMVC 2024: Glasgow, UK
- 35th British Machine Vision Conference, BMVC 2024, Glasgow, UK, November 25-28, 2024. BMVA Press 2024
- Hansol Kim, Hoyeol Choi, Youngjun Kwak:
Federated Learning for Face Recognition via Intra-subject Self-supervised Learning. - Alexey Kravets, Vinay P. Namboodiri:
CLIP Adaptation by Intra-Modal Overlap Reduction. - Zekun Zhang, Vu Quang Truong, Minh Hoai:
Efficiency-preserving Scene-adaptive Object Detection. - Jiayang Ao, Qiuhong Ke, Krista A. Ehinger:
Sequential Amodal Segmentation via Cumulative Occlusion Learning. - Kodai Kawamura, Shunya Yamagami, Go Irie:
Region-based Entropy Separation for One-shot Test-Time Adaptation. - Kim Yu-Ji, Hyunwoo Ha, Kim Youwang, Jaeheung Surh, Hyowon Ha, Tae-Hyun Oh:
MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation. - Dilith Jayakody, Thanuja D. Ambegoda:
Few-shot Multispectral Segmentation with Representations Generated by Reinforcement Learning. - Shreyas Singh, Aryan Garg, Kaushik Mitra:
HDRSplat: Gaussian Splatting for High Dynmaic Range 3D Scene Reconstruction from Raw Images. - Ban Chen, Xin Jin, Longhai Wu, Jie Chen, Ilhyun Cho, Cheul-Hee Hahm:
Alignment-aware Patch-level Routing for Dynamic Video Frame Interpolation. - Damian Sójka, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert:
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation. - Jiawei Yao, Tong Wu, Xiaofeng Zhang:
Improving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNN. - Shohei Tanaka, Hao Wang, Yoshitaka Ushiku:
SciPostLayout: A Dataset for Layout Analysis and Layout Generation of Scientific Posters. - Munish Monga, Sachin Kumar Giroh, Ankit Jha, Mainak Singha, Biplab Banerjee, Jocelyn Chanussot:
COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation. - Cristian Sbrolli, Matteo Matteucci:
No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs. - Shaoyu Wang, Changze Zhou, Bolin Song, Yiyang Wang:
Self-Supervised Real-World Denoising by Jointly Learning Visible and Invisible Noise. - Jack R. Saunders, Vinay P. Namboodiri:
TalkLoRA: Low-Rank Adaptation for Speech-Driven Animation. - Zhihan Cai, Kailu Wu, Dapeng Cao, Feng Chen, Kaisheng Ma:
DRAFT: Direct Radiance Fields Editing with Composable Operations. - Ryota Ishizaki, Shunya Yamagami, Yuta Goto, Go Irie:
Linear Calibration Approach to Knowledge-free Group Robust Classification. - Haoyu Zhao, Xingyue Zhao, Lingting Zhu, Weixi Zheng, Yongchao Xu:
HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction. - Minghong Duan, Linhao Qu, Shaolei Liu, Manning Wang:
Local Implicit Wavelet Transformer for Arbitrary-Scale Super-Resolution. - Matthew Lee, Felix John Samuel Bragman, Ricardo Sanchez-Matilla, Imanol Luengo, Danail Stoyanov:
Spatial-Temporal NAS for Fast Surgical Segmentation. - Jian Gao, Niall McLaughlin, Joanna Sara Valson, Neil Anderson, Ruth F. Hunter:
Learning to Segment Publicly Accessible Green Spaces with Visual and Semantic Data. - Aditya Nalgunda Ganesh, Gowri Srinivasa:
D³Nav: Data-Driven Driving Agents for Autonomous Vehicles in Unstructured Traffic. - Weixin Xu:
FFR-UNet: Feature Filter-Refinement UNet for Medical Image Segmentation. - Haoting He, Yaochen Li, Yutong Wang, Gaojie Li, Wei Guo, Runlin Zou:
Group Activity Recognition via Spatio-Temporal Reasoning of Key Instances. - Amin Ranem, John Kalkhof, Anirban Mukhopadhyay:
NCA-Morph: Medical Image Registration with Neural Cellular Automata. - Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian:
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. - Sungmin Kang, Jaeha Song, Jihie Kim:
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer. - Pauline Bourigault, Emmanuelle Bourigault, Danilo P. Mandic:
Multi-Modal Information Bottleneck Attribution with Cross-Attention Guidance. - Eman Ali, Muhammad Haris Khan:
Noise-Tolerant Few-Shot Unsupervised Adapter for Vision-Language Models. - Alexander D. J. Taylor, Jonathan James Morrison, Phillip Tregidgo, Neill D. F. Campbell:
Advancing Anomaly Detection: The IDW dataset and MC algorithm. - Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon:
ControlDreamer: Blending Geometry and Style in Text-to-3D. - Yongseon Yoo, Seonggyu Kim, Jong-Min Lee:
SagaGAN: Style Applied using Gram matrix Attribution based on StarGAN v2. - Yiheng Xiong, Angela Dai:
PT43D: A Probabilistic Transformer for Generating 3D Shapes from Single Highly-Ambiguous RGB Images. - Tae-Min Choi, Inug Yoon, Jong-Hwan Kim, Juyoun Park:
Textual Attention RPN for Open-Vocabulary Object Detection. - Zhangliang Sun, Hui Zhang:
Painterly Image Harmonization via Bi-Transformation with Dynamic Kernels. - Qiaoqiao Wei, Hui Zhang, Jun-Hai Yong:
Interactive Image Segmentation with Temporal Information Augmented. - Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen:
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. - Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, Nikolay Marin, Luc Van Gool:
Prompting Diffusion Representations for Cross-Domain Semantic Segmentation. - Sudip Das, Kaixin Xu, Nushrat Hussain, Ziyuan Zhao, Arindam Das, Weisi Lin, Ujjwal Bhattacharya:
MMPrune4U: Regularizing Multimodal Feature Distortion in Weight Pruning for Deep Neural Network Compression. - Ziqiang Dang, Tianxing Fan, Boming Zhao, Xujie Shen, Lei Wang, Guofeng Zhang, Zhaopeng Cui:
MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds. - Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal:
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. - Hiya Roy, Björn Stenger:
Text Removal In E-Commerce Images: A Comparison Of Inpainting Methods. - SeokHwan Oh, Guil Jung, Myeong-Gee Kim, Sang-Yun Kim, Young-Min Kim, Hyeon-Jik Lee, Hyuksool Kwon, Hyeon-Min Bae:
Key-point Guided Deformable Image Manipulation Using Diffusion Model. - Chenhao Wang, Xiaopeng Hong, Zhiheng Ma, Yupeng Wei, Yabin Wang, Xiaopeng Fan:
Multi-modal Crowd Counting via Modal Emulation. - Renwu Li, Wenjing Ke, Dong Li, Lu Tian, Emad Barsoum:
MonoGS++: Fast and Accurate Monocular RGB Gaussian SLAM. - Yusuke Oumi, Yuto Shibata, Go Irie, Akisato Kimura, Yoshimitsu Aoki, Mariko Isogawa:
Acoustic-based 3D Human Pose Estimation Robust to Human Position. - Joaquim Comas, Antònia Alomar, Adria Ruiz, Federico Sukno:
PhysFlow: Skin tone transfer for remote heart rate estimation through conditional normalizing flows. - Cho-Ying Wu, Quankai Gao, Chin-Cheng Hsu, Te-Lin Wu, Jing-Wen Chen, Ulrich Neumann:
InSpaceType: Dataset and Benchmark for Reconsidering Cross-Space Type Performance in Indoor Monocular Depth. - Junho Lee, Jeongwoo Shin, Seung Woo Ko, Seongsu Ha, Joonseok Lee:
Scalable Frame Sampling for Video Classification: A Semi-Optimal Policy Approach with Reduced Search Space. - Ziyu Yao:
Recovering Global Data Distribution Locally in Federated Learning. - Francesco Di Salvo, David Tafler, Sebastian Doerrich, Christian Ledig:
Privacy-preserving datasets by capturing feature distributions with Conditional VAEs. - Angel Villar-Corrales, Moritz Austermann, Sven Behnke:
MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and Motion. - Evgeny Tsykunov, Wonju Lee, Minje Park:
AISE: Adaptive Input Sampling for Explanation of Black-box Models. - Ruiqi Mao, Rongxin Cui:
Retinex-Inspired Cooperative Game Through Multi-Level Feature Fusion for Robust, Universal Image Enhancement. - Yuyang Zhao, Na Zhao, Gim Hee Lee:
Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds. - Yibin Wang, Yuchao Feng, Jianwei Zheng:
Learning Object Placement via Convolution Scoring Attention. - Yunsong Wang, Na Zhao, Gim Hee Lee:
Syn-to-Real Unsupervised Domain Adaptation for Indoor 3D Object Detection. - Xiaoyue Mi, Fan Tang, Yepeng Weng, Danding Wang, Juan Cao, Sheng Tang, Peng Li, Yang Liu:
Topology-preserving Adversarial Training for Alleviating Natural Accuracy Degradation. - Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Dimitris Samaras:
JEAN: Joint Expression and Audio-guided NeRF-based Talking Face Generation. - Xuhan Zhu, Yifei Xing, Ruiping Wang, Yaowei Wang, Xiangyuan Lan:
Hierarchical Prompt Learning for Scene Graph Generation. - Róisín Luo, Alexandru Drimbarean, James McDermott, Colm O'Riordan:
Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization. - Zeyu Zhang, Yiran Wang, Biao Wu, Shuo Chen, Zhiyuan Zhang, Shiya Huang, Wenbo Zhang, Meng Fang, Ling Chen, Yang Zhao:
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion. - Peichao Li, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren:
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging. - Seung Woo Ko, Joopyo Hong, Suyoung Kim, Seungjai Bang, Sungzoon Cho, Nojun Kwak, Hyung-Sin Kim, Joonseok Lee:
A Revisit to the Decoder for Camouflaged Object Detection. - Soumitri Chattopadhyay, Sanket Biswas, Emanuele Vivoli, Josep Lladós:
Towards Generative Class Prompt Learning for Fine-grained Visual Recognition. - Kang Zhang, Xinnian Guo:
Infrared and Visible Image Fusion Using Multi-level Adaptive Fractional Differential. - Shizhen Li, Jingcheng Liu, Jianwu Fang, Dezheng Gao, Jianru Xue:
S³-Match: Common-View Aligned Image Matching via Self-Supervised Keypoint Selection. - Huan Bao, Kaimin Wei, Yao Chen, Hanting Hou, Jinpeng Chen, Yongdong Wu:
From Black-box to Label-only: a Plug-and-Play Attack Network for Model Inversion. - Tomás Berriel Martins, Javier Civera:
Feature Splatting for Better Novel View Synthesis with Low Overlap. - Kieran Saunders, Luis J. Manso, George Vogiatzis:
BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation. - Zhi Cai, Songtao Liu, Guodong Wang, Zeming Li, Zheng Ge, Xiangyu Zhang, Di Huang:
Align-DETR: Enhancing End-to-end Object Detection with Aligned Loss. - Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Xinghao Ding, Yue Huang:
Mixstyle-Entropy: Whole Process Domain Generalization with Causal Intervention and Perturbation. - Theodoros Kouzelis, Emmanouil Plitsis, Mihalis Nicolaou, Yannis Panagakis:
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis. - Krzysztof Baron-Lis, Matthias Rottmann, Annika Mütze, Sina Honari, Pascal Fua, Mathieu Salzmann:
AttEntropy: On the Generalization Ability of Supervised Semantic Segmentation Transformers to New Objects in New Domains. - Masane Fuchi, Tomohiro Takagi:
Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning. - Maxim Khomiakov, Michael Riis Andersen, Jes Frellsen:
GeoFormer: A Multi-Polygon Segmentation Transformer. - Avideep Mukherjee, Soumya Banerjee, Piyush Rai, Vinay P. Namboodiri:
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance. - João P. C. Bertoldo, Dick Ameln, Ashwin Vaidya, Samet Akcay:
AUPIMO: Redefining Anomaly Localization Benchmarks with High Speed and Low Tolerance. - Zhanzhong Pang, Fadime Sener, Shrinivas Ramasubramanian, Angela Yao:
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation. - Ziyang Ren, Ping Wei, Haowen Tang, Huan Li, Jin Yang:
Learning Scene-Goal-Aware Motion Representation for Trajectory Prediction. - Kensuke Taguchi, Takehiko Kawai, Wataru Imaeda, Hironobu Fujiyoshi:
SAM Helps SSL: Mask-guided Attention Bias for Self-supervised Learning. - Yamin Mao, Zhihua Liu, Weiming Li, SoonYong Cho, Qiang Wang, Xiaoshuai Hao:
Enhancing 3D Hand Pose Estimation via Dense Ordinal Regression Network. - Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen:
Transferable Learned Image Compression-Resistant Adversarial Perturbations. - Mengjiao Zhao, Mengting Ma, Xiangdong Li, Ao Gao, Siyang Song, Wei Zhang:
Deep Unfolding Network with Spatial-spectral Perception Enhanced for Pan-sharpening. - Xulong Bai, Hainan Cui, Shuhan Shen:
IncreLM: Incremental 3D Line Mapping. - Jordan Lam:
Motion Tracking with Rotated Bounding Boxes on Overhead Fisheye Imagery. - Xin Feng, Junxian Zeng, Siping Wang, Zhenwei He:
Toward Highly Efficient Semantic-Guided Machine Vision for Low-Light Object Detection. - Danai Triantafyllidou, Sarah Parisot, Ales Leonardis, Steven McDonagh:
Improving Object Detection via Local-global Contrastive Learning. - Heejoon Moon, Jongwoo Lee, Jeong-Gon Kim, Je Hyeong Hong:
Depth-Guided Privacy-Preserving Visual Localization Using 3D Sphere Clouds. - Shizhan Gong, Jingwei Zhang, Qi Dou, Farzan Farnia:
A Super-pixel-based Approach to the Stable Interpretation of Neural Networks. - Anandavardhan Hegde, Sudha Velusamy, Narayan Kothari, Aman Bahuguna, Apnesh Rawat, Hema Sathiamurthy, Ankit Raja:
PawFACS: Leveraging Semi-Supervised Learning for Pet Facial Action Recognition. - Qiao Xiao, Boqian Wu, Lu Yin, Christopher Neil Gadzinski, Tianjin Huang, Mykola Pechenizkiy, Decebal Constantin Mocanu:
Are Sparse Neural Networks Better Hard Sample Learners? - Shuang Chen, Amir Atapour-Abarghouei, Haozheng Zhang, Hubert P. H. Shum:
MxT: Mamba x Transformer for Image Inpainting. - Kuluhan Binici, Weiming Wu, Tulika Mitra:
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architectures. - Mihnea Bogdan Jurca, Remco Royen, Ion Giosan, Adrian Munteanu:
RT-GS2: Real-Time Generalizable Semantic Segmentation for 3D Gaussian Representations of Radiance Fields. - Kirill Vishniakov, Eric P. Xing, Zhiqiang Shen:
MixMask: Revisiting Masking Strategy for Siamese ConvNets. - Marian Longa, João F. Henriques:
Interpretable Representation Learning from Videos using Nonlinear Priors. - Hasib Zunair, Abdessamad Ben Hamza:
PEEKABOO: Hiding Parts of an Image for Unsupervised Object Localization. - Ziteng Cui, Lin Gu, Tatsuya Harada:
Discovering an Image-Adaptive Coordinate System for Photography Processing. - Yu Gao, Xuchong Qiu, Zihan Ye:
Effective Message Hiding with Order-Preserving Mechanisms. - Zicheng Pan, Xiaohan Yu, Yongsheng Gao:
EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles. - Ying Zhang, Yuezun Li, Bo Peng, Jiaran Zhou, Huiyu Zhou, Junyu Dong:
Mumpy: Multilateral Temporal-view Pyramid Transformer for Video Inpainting Detection. - Qing En, Yuhong Guo:
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation. - Myeong-Yeon Yi, DongJae Lee, Naeun Ko, Yonghyun Jeong, Sang-goo Lee, Seunggyu Chang:
Complete the Feature Space: Diffusion-Based Fictional ID Generation for Face Recognition. - Dino Ienco, Cássio Fraga Dantas:
DisCoM-KD: Cross-Modal Knowledge Distillation via Disentanglement Representation and Adversarial Learning. - Ameera Ali Bawazir, Kebin Wu, Wenbin Li:
Uni-Mlip: Unified Self-Supervision for Medical Vision Language Pre-training. - Jiyao Gao, Chengxin He, Lei Duan, Jie Zuo:
Towards Better Zero-Shot Anomaly Detection under Distribution Shift with CLIP. - Hao Chen, Jiaze Wang, Ziyu Guo, Jinpeng Li, Donghao Zhou, Bian Wu, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning. - Yangxiang Zhang, Yuezun Li, Ao Luo, Jiaran Zhou, Junyu Dong:
FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection. - Yuxiang An, Dongnan Liu, Weidong Cai:
Unsupervised Domain Adaptation for Tubular Structure Segmentation Across Different Anatomical Sources. - Ivan Sabolic, Ivan Grubisic, Sinisa Segvic:
Backdoor Defense through Self-Supervised and Generative Learning. - Raquel Vidaurre, Elena Garces, Dan Casas:
DiffusedWrinkles: A Diffusion-Based Model for Data-Driven Garment Animation. - Muhammad Salman Ali, Maryam Qamar, Sung-Ho Bae, Enzo Tartaglione:
Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning. - Debjyoti Mondal, Rahul Mishra, Chandan Kumar Pandey:
Seg-HGNN: Unsupervised and Light-Weight Image Segmentation with Hyperbolic Graph Neural Networks. - Nadezda Kirillova, Muhammad Jehanzeb Mirza, Horst Bischof, Horst Possegger:
Into the Fog: Evaluating Robustness of Multiple Object Tracking. - Xie Yu, Wentao Zhang:
Anchor-Based Masked Generative Distillation for Pixel-Level Prediction Tasks. - Kai Pan, Yapeng Tian, Yinhe Han, Yiming Gan:
Benchmarking and Optimizing Federated Learning with Hardware-related Metrics. - Richard Franklin, Jiawei Yao, Deyang Zhong, Qi Qian, Juhua Hu:
Text-Guided Mixup Towards Long-Tailed Image Categorization. - Wei Zhao, Xiao-Jun Zeng, Chengdong Shi, Ching-Hsun Tseng, Yue Chang:
A Novel Divide and Merge Approach for Improved Classification of Functional Data. - Zane Durante, Robathan Harries, Edward Vendrow, Zelun Luo, Yuta Kyuragi, Kazuki Kozuka, Li Fei-Fei, Ehsan Adeli:
Few-Shot Classification of Interactive Activities of Daily Living (InteractADL). - Aditya R. Bhattacharya, Debanjan Goswami, Shayok Chakraborty:
ACIL: Active Class Incremental Learning for Image Classification. - Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
PatchRot: Self-Supervised Training of Vision Transformers by Rotation Prediction. - Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
Label Smoothing++: Enhanced Label Regularization for Training Neural Networks. - Wei Ye, Xinan He, Feng Ding:
Decoupling Forgery Semantics for Generalizable Deepfake Detection. - Adam Goodge, Bryan Hooi, Wee Siong Ng:
When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection. - Sree Rama Vamsidhar S., Gorthi Rama Krishna Sai Subrahmanyam:
NSSR-DIL: Null-Shot Image Super-Resolution Using Deep Identity Learning. - Pankhi Kashyap, Pavni Tandon, Sunny Gupta, Abhishek Tiwari, Ritwik Kulkarni, Kshitij Sharad Jadhav:
Taming the Tail: Leveraging Asymmetric Loss and Padé Approximation to Overcome Long-Tailed Class Imbalance. - Yichen Zhou, Teck Khim Ng:
Kernel Representation for Dynamic Networks. - Rameshwar Mishra, A. Venkata Subramanyam:
Layout Free Scene Graph to Image Generation. - Canran Li, Dongnan Liu, Weidong Cai:
Rethinking Domain Adaptive Optic Disc and Cup Segmentation in Fundus Image through Dynamic Diffusion Flow. - Khanh-Binh Nguyen, Chae Jung Park:
RETRO: Reusing teacher projection head for efficient embedding distillation on Lightweight Models via Self-supervised Learning. - Shuo Wang, Xieenlong, Jinda Lu, Jinghan Li, Yanbin Hao:
GLCM-Adapter: Global-Local Content Matching for Few-shot CLIP Adaptation. - Tuyen Tran, Thao Minh Le, Duy Hung Tran, Truyen Tran:
Unified Compositional Query Machine with Multimodal Consistency for Video-based Human Activity Recognition. - Hao Xu, Shengye Yan, Wei Zheng:
Lightweight Human Pose Estimation with Enhanced Knowledge Review. - Dinh Phu Tran, Dao Duy Hung, Daeyoung Kim:
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution. - Dongyoung Kim, Jeong-Gun Lee, WonSook Lee:
Separated and Independent Contrastive Learning on Labeled and Unlabeled Samples: Boosting Performance on Long-tail Semi-supervised Learning. - Tianwen Zhou, Qihao Duan, Zitong Yu:
Difflare: Removing Image Lens Flare with Latent Diffusion Models. - Loris Giulivi, Giacomo Boracchi:
Explaining Multi-modal Large Language Models by Analyzing their Vision Perception. - Dylan Auty, Roy Miles, Benedikt Kolbeinsson, Krystian Mikolajczyk:
Learning to Project for Cross-Task Knowledge Distillation. - Saining Zhang, Baijun Ye, Xiaoxue Chen, Yuantao Chen, Zongzheng Zhang, Cheng Peng, Yongliang Shi, Hao Zhao:
Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty. - Andrey Palaev, Adil Khan, Syed M. Ahsan Kazmi:
LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention Maps. - Quoc-Huy Trinh, Hai-Dang Nguyen, Bao-Tram Nguyen Ngoc, Debesh Jha, Ulas Bagci, Minh-Triet Tran:
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation. - Zhuofeng Wu, Doehyung Lee, Zihua Liu, Kazunori Yoshizaki, Yusuke Monno, Masatoshi Okutomi:
Disparity Estimation Using a Quad-Pixel Sensor. - Sungeun Kim, Jongbin Ryu:
Unsupervised Hashing Network with Hyper Quantization Tree. - Ahmet Serdar Karadeniz, Dimitrios Mallis, Nesryne Mejri, Kseniya Cherenkova, Anis Kacem, Djamila Aouada:
DAVINCI: A Single-Stage Architecture for Constrained CAD Sketch Inference. - Shane Josias, Willie Brink:
Multimodal base distributions in conditional flow matching generative models. - Xinxu Lin, Mingxuan Liu, Kezhuo Liu, Hong Chen:
Spike-SLR: An Energy-efficient Parallel Spiking Transformer for Event-based Sign Language Recognition. - Haosen Yang, Deng Huang, Bin Wen, Jiannan Wu, Hongxun Yao, Yi Jiang, Xiatian Zhu, Zehuan Yuan:
MotionMAE: Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders. - Rui Yu, Runkai Zhao, Cong Nie, Heng Wang, Siyu Li, Songhao Zhu:
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences. - Mohammed Talha Alam, Raza Imam, Mohsen Guizani, Fakhri Karray:
FLARE up your data: Diffusion-based Augmentation Method in Astronomical Imaging. - Xuhui Zhu, Feng Jiang, Jing Wen, Yi Wang, Qiang Gao:
Semantic Image Synthesis of Anime Characters Based on Conditional Generative Adversarial Networks. - Kehang Jia, Gaorui Zhang, Yixuan Yang, Guangwei Huang, Penghuan Wang, Cheng Cheng:
ML-2SN: A Hybrid Two-Stream System for Sitting Posture Detection. - Xu Dong, Xinran Liu, Wanqing Li, Anthony Adeyemi-Ejeye, Andrew Gilbert:
Interpretable Long-term Action Quality Assessment. - Dragos Costea, Alina Marcu, Marius Leordeanu:
A self-supervised cyclic neural-analytic approach for novel view synthesis and 3D reconstruction. - Sebastian Janampa, Marios Pattichis:
SOFI: Multi-Scale Deformable Transformer for Camera Calibration with Enhanced Line Queries. - Jochem Loedeman, Maarten C. Stol, Tengda Han, Yuki M. Asano:
Prompt Generation Networks for Input-Space Adaptation of Frozen Vision Transformers. - Li Li, Tanqiu Qiao, Hubert P. H. Shum, Toby P. Breckon:
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training. - Francesco Girlanda, Olga V. Demler, Bjoern H. Menze, Neda Davoudi:
Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning. - Liuyuan Wen:
Out-Of-Distribution Detection for Audio-visual Generalized Zero-Shot Learning: A General Framework. - Christian Fruhwirth-Reisinger, Wei Lin, Dusan Malic, Horst Bischof, Horst Possegger:
Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection. - Linghong Yao, Denis Hadjivelichkov, Andromachi Maria Delfaki, Yuanchang Liu, Brooks Paige, Dimitrios Kanoulas:
Balancing Calibration and Performance: Stochastic Depth in Segmentation BNNs. - Shanlin Sun, Tung Le, Pooya Khosravi, Chenyu You, Kun Han, Haoyu Ma, Deying Kong, Xiangyi Yan, Xiaohui Xie:
Hybrid-CSR: Coupling Explicit and Implicit Reconstruction of Cortical Surface. - Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr:
As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP. - Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino:
SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models. - Piotr Kluska, Florian Scheidegger, A. Cristiano I. Malossi, Enrique S. Quintana-Ortí:
Beyond Static and Dynamic Quantization - Hybrid Quantization of Vision Transformers. - Jiageng Zhu, Hanchen Xie, Jianhua Wu, Mohamed E. Hussein, Mahyar Khayatkhoei, Jiazhi Li, Wael AbdAlmageed:
Multi-Scope Representation Learning for Causal Relation Discovery with new Challenging Datasets. - Rong Liu, Rui Xu, Yue Hu, Meida Chen, Andrew Feng:
AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field. - Antoine Montmaur, Nicolas Larue, Ngoc-Son Vu:
Neural Collapse Inspired Contrastive Continual Learning. - Inderjeet Singh, Roman Vainshtein, Alon Zolfi, Asaf Shabtai, Tu Bui, Jonathan Brokman, Omer Hofman, Fumiyoshi Kasahara, Kentaro Tsuji, Hisashi Kojima:
ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search. - Jaehoon Cho, Minjung Yoo, Jini Yang, Sunok Kim:
A Prototype Unit for Image De-raining using Time-Lapse Data. - Yuanwei Li, Elizaveta Ivanova, Martins Bruveris:
FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model. - Changkang Li, Yalong Jiang:
VLAVAD: Vision-Language Models Assisted Unsupervised Video Anomaly Detection. - Yuantian Huang, Satoshi Iizuka, Kazuhiro Fukui:
Training-Free Zero-Shot Semantic Segmentation with LLM Refinement. - Susmija Jabbireddy, Davit Soselia, Max Ehrlich, Christopher A. Metzler, Amitabh Varshney:
VEMIC: View-aware Entropy model for Multi-view Image Compression. - Tatsuhiro Eguchi, Shumpei Takezaki, Mihoko Shimano, Takayuki Yagi, Ryoma Bise:
Guidance-base Diffusion Models for Improving Photoacoustic Image Quality. - Shihao Chen, Xiaobing Li, Keduo Yan, Yong Li, Dongxu Gao:
STPose: 6D object pose estimation network based on sparse attention and cross-layer connection. - Nathan Louis, Mahzad Khoshlessan, Jason J. Corso:
Measuring Physical Plausibility of 3D Human Poses Using Physics Simulation. - Ching-Yi Lai, Chiou-Ting Hsu, Chih-Chung Hsu, Chia-Wen Lin:
Prompt-guided Multi-modal contrastive learning for Cross-compression-rate Deepfake Detection. - Ziyi Cao, Shengye Yan, Wei Zheng:
The Attempt on Combining Three Talents by KD with Enhanced Boundary in Co-Salient Object Detection. - Yufei Gao, Bin Fu, Lei Shi, Chengming Liu, Yucheng Shi:
GLPI: A Global Layered Prompt Integration approach for Explicit Visual Prompt. - Yijie Li, Hewei Wang, Aggelos K. Katsaggelos:
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement. - Amrijit Biswas, Md. Ismail Hossain, Mirza M. Lutfe Elahi, Ali Cheraghian, Fuad Rahman, Nabeel Mohammed, Shafin Rahman:
3D Point Cloud Network Pruning: When Some Weights Do not Matter. - Zhaowei Gao, Mingyang Song, Christopher Schroers, Yang Zhang:
Revitalizing Legacy Video Content: Deinterlacing with Bidirectional Information Propagation. - Yongchao Lin, Xiangdong Su, Yuhan Yang:
3D Blur Kernel on Gaussian Splatting. - Sam Titarsolej, Neil Cohn, Nanne van Noord:
Drawing Insights: Sequential Representation Learning in Comics. - Alireza Javanmardi, Alain Pagani, Didier Stricker:
G3FA: Geometry-guided GAN for Face Animation. - Gopi Raju Matta, Rahul Siddartha, Rongali Simhachala Venkata Girish, Sumit Sharma, Kaushik Mitra:
GN-FR: Generalizable Neural Radinace Fields for Flare Removal. - Christian Löwens, Thorben Funke, André Wagner, Alexandru Paul Condurache:
Unsupervised Point Cloud Registration with Self-Distillation. - Wenbo Xu, Li Zhang, Qiankun Li, Qi Wu, Lin Yuanbo Wu, Liu Liu:
ICAF-4: An Integrated Framework of Category-level Articulated Object Perception and Manipulation for Embodied Intelligence. - Jungmin Ha, Euihyun Yoon, Sungsik Kim, Jinkyu Kim, Jaekoo Lee:
Leveraging Inductive Bias in ViT for Medical Image Diagnosis. - Qingju Liu, Hyeongwoo Kim, Gaurav Bharaj:
Content and Style Aware Audio-Driven Facial Animation. - Monica Millunzi, Lorenzo Bonicelli, Angelo Porrello, Jacopo Credi, Petter N. Kolm, Simone Calderara:
May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels. - Hashmat Shadab Malik, Numan Saeed, Asif Hanif, Muzammal Naseer, Mohammad Yaqub, Salman Khan, Fahad Shahbaz Khan:
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models. - Satoshi Kamiya, Kota Yamashita, Kazuhiro Hotta:
Boundary Contrastive Learning for Label-Efficient Medical Image Segmentation. - Niraj Prakash Kini, Ruey-Horng Shiue, Ryan Chandra, Wen-Hsiao Peng, Ching-Wen Ma, Jenq-Neng Hwang:
TransHuPR: Cross-View Fusion Transformer for Human Pose Estimation Using mmWave Radar. - Jayateja Kalla, Soma Biswas:
AggSS: An Aggregated Self-Supervised Approach for Class Incremental Learning. - Cheng Chen, Jiang Liu, Liaoyuan Zeng, Fang Duan, Sean McGrath, Tian Dan:
Spatio-Temporal Transformer with Rotary Position Embedding and Bone Priors for 3D Human Pose Estimation. - Marcella Astrid, Enjie Ghorbel, Djamila Aouada:
Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies. - Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang:
Time-conditioned Illumination for Inverse Rendering of Outdoor Scenes. - Jan Niklas Kolf, Naser Damer, Fadi Boutros:
QUD: Unsupervised Knowledge Distillation for Deep Face Recognition. - Harry Walsh, Ben Saunders, Richard Bowden:
Sign Stitching: A Novel Approach to Sign Language Production. - Di Cheng, YingJie Shi, ShiXin Sun, JiaFu Zhang, WeiJing Wang, Yu Liu:
ControlEdit: A MultiModal Local Clothing Image Editing Method. - Victoria Porter, Richard Gault, Stephanie G. Craig, Jacqueline A. James:
Optimising Diffusion Models for Histopathology Image Synthesis. - Erol Ozgur, Mohammad Alkhatib, Youcef Mezouar, Adrien Bartoli:
Reconstructing Spheres by Fitting Planes. - Pushpendu Ghosh, Aniket Joshi, Soumyajit Chowdhury, Promod Yenigalla:
AutoDOM: Automated Dimension Overlay for Enhanced Measurement-Guidance. - Hongjing Niu, Hanting Li, Guoping Wu, Bin Li, Feng Zhao:
Rectifying Shortcut Learning through Cellular Differentiation in Deep Learning Neurons. - Srinivasa Rao Nandam, Sara Atito, Zhenhua Feng, Josef Kittler, Muhammad Awais:
Pseudo Labelling for Enhanced Masked Auto Encoders. - Rajeev Ranjan Dwivedi, Priyadarshini Kumari, Vinod K. Kurmi:
CosFairNet: A Parameter-Space based Approach for Bias Free Learning. - Hongjing Niu, Qingyue Yang, Pengfei Xia, Wei Zhang, Bin Li, Feng Zhao:
Frequency Decomposition to Tap the Potential of Single Domain for Generalization. - Chunli Sun, Feng Zhao:
Task-Related Feature Enhancement Network for Neuronal Morphology Classification. - Valéry Dewil, Zhe Zheng, Arnaud Barral, Lara Raad, Nao Nicolas, Ioannis Cassagne, Jean-Michel Morel, Gabriele Facciolo, Bruno Galerne, Pablo Arias:
Adapting MIMO video restoration networks to low latency constraints. - Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham:
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning. - Nicholas Moratelli, Davide Caffagni, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization. - Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley:
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. - Shijia Xu, Lin Zhao, Jialiang Tang, Guangyu Li, Chen Gong:
Open-World Semi-Supervised Learning under Compound Distribution Shifts. - Paul Berg, Björn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty:
Horospherical Learning with Smart Prototypes. - Abu Taib Mohammed Shahjahan, Abdessamad Ben Hamza:
Flexible Graph Convolutional Network for 3D Human Pose Estimation. - Martin Ferianc, Hongxiang Fan, Miguel R. D. Rodrigues:
SAE: Single Architecture Ensemble Neural Networks. - Anja Delic, Matej Grcic, Sinisa Segvic:
Outlier detection by ensembling uncertainty with negative objectness. - Sina Ghorbani Kolahi, Seyed Kamal Chaharsooghi, Toktam Khatibi, Afshin Bozorgpour, Reza Azad, Moein Heidari, Ilker Hacihaliloglu, Dorit Merhof:
MSA2Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation. - Mona Ahmadian, Frank Guerin, Andrew Gilbert:
FILS: Self-Supervised Video Feature Prediction In Semantic Language Space. - Tamás Tófalvi, Bandó Kovács, Levente Hajder:
Calibration of 2D LiDAR sensors using cylindrical target. - Riya Verma, Sukhendu Das:
Multi-Scale Semantic Enrichment and Dual Angular Margin Contrast for Few-Shot Class Incremental Learning. - Hiroki Kobayashi, Naoki Murakami, Naoto Hiramatsu, Takahiro Suzuki, Manabu Hashimoto:
Anomaly Detection Based on Semi-Formula Driven Pre-training Dataset to Represent Subtle Difference and Anomaly Score. - Georgios Zampokas, Christos-Savvas Bouganis, Dimitrios Tzovaras:
Budget-aware Dynamic Spatially Adaptive Inference. - Yu Hsuan Hsieh, Shang-Hong Lai:
CSAD: Unsupervised Component Segmentation for Logical Anomaly Detection. - Sergio Sánchez Santiesteban, Muhammad Awais, Yi-Zhe Song, Josef Kittler:
Enhancing Radiology Report Generation: The Impact of Locally Grounded Vision and Language Training. - Dmitry Demidov, Abduragim Shtanchaev, Mihail Mihaylov, Mohammad Almansoori:
Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data Regimes. - Emanuele Frascaroli, Aniello Panariello, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara:
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. - Qing-Wen Yang, Kai-Wen Duan, Ting-Yi Lu, Kevin Lin, Cheng-Yen Yang, Lijuan Wang, Jenq-Neng Hwang, Shang-Hong Lai:
APTPose: Anatomy-aware Pre-Training for 3D Human Pose Estimation. - Sally Khaidem, Mansi Sharma:
A Deep Belief Network Approach to Scalable Compression of Light Field Data for Auto-Stereoscopic Displays. - Victor Enescu, Hichem Sahbi:
Learning conditionally untangled latent spaces using Fixed Point Iteration. - Haizhao Sun, Yu Ning, Xu Ji, Chuang Zhang, Ming Wu:
A Multimodal Network on Handwritten Chinese Character Error Correction. - Jakob Gawlikowski, Nina Maria Gottschling:
Efficient Data Source Relevance Quantification for Multi-Source Neural Networks. - Bin Fu, Qiyang Wan, Jialin Li, Ruiping Wang, Xilin Chen:
Blocks as Probes: Dissecting Categorization Ability of Large Multimodal Models. - Sadra Safadoust, Fabio Tosi, Fatma Güney, Matteo Poggi:
Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs. - Seyed Mohsen Hosseini:
topK dice loss for medical image segmentation. - Takumi Kobayashi:
Direct-Sum Approach to Integrate Losses Via Classifier Subspace. - Kaushik Bhargav Sivangi, Fani Deligianni:
Knowledge Distillation with Global Filters for Efficient Human Pose Estimation. - Anqi Liu, Shiyi Mu, Shugong Xu:
A Learnable Color Correction Matrix for RAW Reconstruction. - Ankita Raj, Deepankar Varma, Chetan Arora:
Examining the Threat Landscape: Foundation Models and Model Stealing. - Kovvuri Sai Gopal Reddy, Bodduluri Saran, A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar, Snehasis Mukherjee:
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters. - Shubham Dokania, Vasudev Singh, Shuaib Ahmed:
GazeHELL: Gaze Estimation with Hybrid Encoders and Localised Losses with weighing. - Nitish Agarwal, Steven Cadavid:
TrakAthlete4D: Multi-View On-Field Player Position Tracking in Sports. - Behnam Kazemivash, Armin Iraji, Sergey M. Plis, Vince D. Calhoun:
Spatiotemporal Vision Transformer for Weakly Supervised Dense Prediction of Dynamic Brain Maps. - Julius Körner, Dogu Tamgac, Dávid Rozenberszki:
SceneSAM: Integrating 2D Labels for Weakly Supervised 3D Scene Understanding. - Ashok Bandyopadhyay, Pranjal Baranwal, Arijit Sur, U. P. Rajeev:
PV-SLAM: Panoptic Visual SLAM with Loop Closure and Online Bundle Adjustment. - Christopher Beam, Andrew R. Willis, Kevin M. Brink:
Deep Learning for GPS-Denied SAR Image Focusing and Vehicle Trajectory Estimation. - Zihan Wang, Shuzhe Wang, Matias Turkulainen, Junyuan Fang, Juho Kannala:
Gaussian Splatting in Mirrors: Reflection-aware Rendering via Virtual Camera Optimization. - Melika Sadeghi Tabrizi, Ali Karimi, Ahmad Kalhor, Babak Nadjar Araabi, Mona Ahmadian:
Layer-wise Learning of CNNs by Self-tuning Learning Rate and Early Stopping at Each Layer. - Hariprasath Govindarajan, Per Sidén, Jacob Roll, Fredrik Lindsten:
On Partial Prototype Collapse in the DINO Family of Self-Supervised Methods. - Robero Leyva, Praveen Selvaraj, Andrew Elliott, Gregory Epiphaniou, Carsten Maple:
Beyond Face Matching: A Facial Traits based Privacy Score for Synthetic Face Datasets. - Oliver Mills, Nishant Ravikumar, Philip G. Conaghan, Samuel D. Relton:
Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance. - Evgeney Bogatyrev, Ivan Molodetskikh, Dmitriy S. Vatolin:
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate Reduction. - Jianyu Zhao, Wei Quan, Bogdan J. Matuszewski:
CVAM-Pose: Conditional Variational Autoencoder for Multi-Object Monocular Pose Estimation. - Konstantinos Kontras, Christos Chatzichristos, Matthew B. Blaschko, Maarten De Vos:
Improving Multimodal Learning with Multi-Loss Gradient Modulation. - Abdullah Alchihabi, Marzi Heidari, Yuhong Guo:
Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning. - Karim Radouane, Julien Lagarde, Sylvie Ranwez, Andon Tchechmedjiev:
Guided Attention for Interpretable Motion Captioning. - Xi Li, Jing Zhang, Ziheng Duan, Yi Dai, Siwei Xu:
iHAST: Integrating Hybrid Attention for Super-Resolution in Spatial Transcriptomics. - Jinhui Yi, Yanan Luo, Marion Deichmann, Gabriel Schaaf, Juergen Gall:
MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies. - Akshita Gupta, Aditya Arora, Sanath Narayan, Salman Khan, Fahad Shahbaz Khan, Graham W. Taylor:
Open-Vocabulary Temporal Action Localization using Multimodal Guidance. - Chiang-Heng Chien, Ahmad Abdelfattah, Benjamin B. Kimia:
Recovering SLAM Tracking Lost by Trifocal Pose Estimation using GPU-HC++.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-02-10 22:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
