default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID36th AAAI 2022
- Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022. AAAI Press 2022, ISBN 978-1-57735-876-3
AAAI Technical Track on Cognitive Modeling & Cognitive Systems
- Abhishek Banerjee, Uttaran Bhattacharya, Aniket Bera:
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders. 3-10 - Tong Bu, Jianhao Ding, Zhaofei Yu, Tiejun Huang:
Optimized Potential Initialization for Low-Latency Spiking Neural Networks. 11-20 - Francesco D'Amore
, Daniel Mitropolsky, Pierluigi Crescenzi, Emanuele Natale, Christos H. Papadimitriou:
Planning with Biological Neurons and Synapses. 21-28 - Alexander G. Ororbia II, Ankur Arjun Mali:
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. 29-37 - Kwanyoung Park, Hyunseok Oh, Youngki Lee:
VECA: A New Benchmark and Toolkit for General Cognitive Development. 38-48 - Yuqi Ren, Deyi Xiong:
Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network. 49-58 - Duzhen Zhang, Tielin Zhang, Shuncheng Jia, Bo Xu:
Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning. 59-67
AAAI Technical Track on Computer Vision I
- Niaz Ahmad, Jawad Khan, Jeremy Yuhyun Kim, Youngmoon Lee:
Joint Human Pose Estimation and Instance Segmentation with PosePlusSeg. 69-76 - Jianqiao An, Yuandu Lai, Yahong Han:
Logic Rule Guided Attribution with Dynamic Ablation. 77-85 - Jinseok Bae, Hojun Jang, Cheol-Hui Min, Hyungun Choi, Young Min Kim:
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video. 86-94 - Seung-Hwan Bae:
Deformable Part Region Learning for Object Detection. 95-103 - Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. 104-112 - Xiaohang Bian, Bo Qin, Xiaozhe Xin, Jianwu Li, Xuefeng Su, Yanfeng Wang:
Handwritten Mathematical Expression Recognition via Attention Aggregation Based Bi-directional Mutual Learning. 113-121 - Le Minh Binh, Simon S. Woo:
ADD: Frequency Attention and Multi-View Based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images. 122-130 - Jiarui Cai, Yizhou Wang, Hung-Min Hsu, Jenq-Neng Hwang, Kelsey Magrane, Craig S. Rose:
LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition. 131-139 - Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu:
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning. 140-148 - Zikui Cai, Xinxin Xie, Shasha Li, Mingjun Yin, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, M. Salman Asif:
Context-Aware Transfer Attacks for Object Detection. 149-157 - Linfeng Cao, Aofan Jiang, Wei Li, Huaying Wu, Nanyang Ye:
OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression. 158-166 - Shuqiang Cao, Bairui Wang, Wei Zhang, Lin Ma:
Visual Consensus Modeling for Video-Text Retrieval. 167-175 - Xiangyong Cao, Yang Chen, Wenfei Cao:
Proximal PanNet: A Model-Based Deep Network for Pansharpening. 176-184 - Xipeng Cao, Peng Yuan, Bailan Feng, Kun Niu:
CF-DETR: Coarse-to-Fine Transformers for End-to-End Object Detection. 185-193 - Yun-Hao Cao, Jianxin Wu:
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. 194-202 - Seunggyu Chang, Jungchan Cho, Songhwai Oh:
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations. 203-211 - Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. 212-220 - Chen Chen, Zhe Chen, Jing Zhang, Dacheng Tao:
SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection. 221-229 - Chengwei Chen, Yuan Xie, Shaohui Lin, Angela Yao, Guannan Jiang, Wei Zhang, Yanyun Qu, Ruizhi Qiao, Bo Ren, Lizhuang Ma:
Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection. 230-238 - Di Chen, Andreas Doering, Shanshan Zhang, Jian Yang, Juergen Gall, Bernt Schiele:
Keypoint Message Passing for Video-Based Person Re-identification. 239-247 - Guo Chen, Yin-Dong Zheng, Limin Wang, Tong Lu:
DCAN: Improving Temporal Action Detection via Dual Context Aggregation. 248-257 - Haoyu Chen, Hao Tang, Zitong Yu, Nicu Sebe, Guoying Zhao:
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer. 258-266 - Jiaming Chen, Weixin Luo, Wei Zhang, Lin Ma:
Explore Inter-contrast between Videos via Composition for Weakly Supervised Temporal Sentence Grounding. 267-275 - Jin Chen, Xiaofeng Ji, Xinxiao Wu:
Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning. 276-284 - Jingye Chen, Haiyang Yu, Jianqi Ma, Bin Li, Xiangyang Xue:
Text Gestalt: Stroke-Aware Scene Text Image Super-resolution. 285-293 - Jinsong Chen, Hu Han, Shiguang Shan:
Towards High-Fidelity Face Self-Occlusion Recovery via Multi-View Residual-Based GAN Inversion. 294-302 - Jinze Chen, Yang Wang, Yang Cao, Feng Wu, Zheng-Jun Zha:
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation. 303-311 - Kai Chen, Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Attacking Video Recognition Models with Bullet-Screen Comments. 312-320 - Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao:
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. 321-329 - Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You:
TransZero: Attribute-Guided Transformer for Zero-Shot Learning. 330-338 - Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin:
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. 339-346 - Wei-Ting Chen, I-Hsiang Chen, Chih-Yuan Yeh, Hao-Hsiang Yang, Jian-Jiun Ding, Sy-Yen Kuo:
SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification. 347-355 - Xiaohua Chen, Yucan Zhou, Dayan Wu, Wanqian Zhang, Yu Zhou, Bo Li, Weiping Wang:
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification. 356-364 - Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong Liu:
Guide Local Feature Matching by Overlap Estimation. 365-373 - Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang:
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition. 374-382 - Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro:
Deep One-Class Classification via Interpolated Gaussian Descriptor. 383-392 - Zhe Chen, Wenhai Wang, Enze Xie, Tong Lu, Ping Luo:
Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization. 393-400 - Zhi Chen, Fan Yang, Wenbing Tao:
DeTarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration. 401-409 - Zhiwei Chen, Changan Wang, Yabiao Wang, Guannan Jiang, Yunhang Shen, Ying Tai, Chengjie Wang, Wei Zhang, Liujuan Cao:
LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization. 410-418 - Jian Cheng, Yanguang Wan, Dexin Zuo, Cuixia Ma, Jian Gu, Ping Tan, Hongan Wang, Xiaoming Deng, Yinda Zhang:
Efficient Virtual View Selection for 3D Hand Pose Estimation. 419-426 - Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu:
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction. 427-435 - Yihua Cheng, Yiwei Bao, Feng Lu:
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation. 436-443 - Anoop Cherian, Chiori Hori, Tim K. Marks, Jonathan Le Roux:
(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering. 444-453 - Hoonhee Cho, Kuk-Jin Yoon:
Event-Image Fusion Stereo Using Cross-Modality Feature Propagation. 454-462 - Jaewoong Choi, Dae Ha Kim, Byung Cheol Song:
Style-Guided and Disentangled Representation for Robust Image-to-Image Translation. 463-471 - Tong Chu, Yahao Liu, Jinhong Deng, Wen Li, Lixin Duan:
Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation. 472-480 - Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero:
Model-Based Image Signal Processors via Learnable Dictionaries. 481-489 - Hainan Cui, Shuhan Shen:
MMA: Multi-Camera Based Global Motion Averaging. 490-498 - Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu:
GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data. 499-507 - Feng Dai, Bin Chen, Hang Xu, Yike Ma, Xiaodong Li, Bailan Feng, Peng Yuan, Chenggang Yan, Qiang Zhao:
Unbiased IoU for Spherical Image Object Detection. 508-515 - Zelu Deng, Yujie Zhong, Sheng Guo, Weilin Huang:
InsCLR: Improving Instance Retrieval with Self-Supervision. 516-524 - Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang:
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. 525-533 - Jinpeng Dong, Yuhao Huang, Songyi Zhang, Shitao Chen, Nanning Zheng:
Construct Effective Geometry Aware Feature Pyramid Network for Multi-Scale Object Detection. 534-541 - Jinghai Duan, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, Gang Hua:
Complementary Attention Gated Network for Pedestrian Trajectory Prediction. 542-550 - Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Zhiwu Lu, Jun He, Xiaoyong Du:
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition. 551-560 - Shihong Fang, Anna Choromanska:
Backdoor Attacks on the DNN Interpretation System. 561-570 - Shuman Fang, Jie Li, Xianming Lin, Rongrong Ji:
Learning to Learn Transferable Attack. 571-579 - Yuming Fang, Liping Huang, Jiebin Yan, Xuelin Liu, Yang Liu:
Perceptual Quality Assessment of Omnidirectional Images. 580-588 - Mojtaba Faramarzi, Mohammad Amini, Akilesh Badrinaaraayanan, Vikas Verma, Sarath Chandar:
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks. 589-597 - Jiajun Fei, Ziyu Zhu, Wenlei Liu, Zhidong Deng, Mingyang Li, Huanjun Deng, Shuo Zhang:
DuMLP-Pin: A Dual-MLP-Dot-Product Permutation-Invariant Network for Set Feature Extraction. 598-606 - Zhengcong Fei:
Attention-Aligned Transformer for Image Captioning. 607-615 - Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song:
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers. 616-624 - Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu:
OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression. 625-633 - Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song:
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. 634-642 - Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding:
Unsupervised Underwater Image Restoration: From a Homology Perspective. 643-651 - Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu:
Playing Lottery Tickets with Vision and Language. 652-660 - Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu:
Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution. 661-669 - Shuyong Gao, Wei Zhang, Yan Wang, Qianyu Guo, Chenglong Zhang, Yangji He, Wenqiang Zhang:
Weakly-Supervised Salient Object Detection Using Point Supervison. 670-678 - Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan:
Latent Space Explanation by Intervention. 679-687 - Wenhang Ge, Junlong Du, Ancong Wu, Yuqiao Xian, Ke Yan, Feiyue Huang, Wei-Shi Zheng:
Lifelong Person Re-identification by Pseudo Task Knowledge Preservation. 688-696 - Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Adversarial Robustness in Multi-Task Learning: Promises and Illusions. 697-705 - Dvir Ginzburg, Dan Raviv:
Deep Confidence Guided Distance for 3D Partial Shape Registration. 706-714 - Dusan Grujicic, Thierry Deruyttere, Marie-Francine Moens, Matthew B. Blaschko:
Predicting Physical World Destinations for Commands Given to Self-Driving Cars. 715-725 - Geonmo Gu, ByungSoo Ko, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin:
Towards Light-Weight and Real-Time Line Segment Detection. 726-734 - Qiqi Gu, Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Ran Yi:
Exploiting Fine-Grained Face Forgery Clues via Progressive Enhancement Learning. 735-743 - Zhihao Gu, Yang Chen, Taiping Yao, Shouhong Ding, Jilin Li, Lizhuang Ma:
Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection. 744-752 - Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang:
Assessing a Single Image in Reference-Guided Image Synthesis. 753-761 - Tianyu Guo, Hong Liu, Zhan Chen, Mengyuan Liu, Tao Wang, Runwei Ding:
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition. 762-770 - Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia:
Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition. 771-779 - Guangxing Han, Shiyuan Huang, Jiawei Ma, Yicheng He, Shih-Fu Chang:
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment. 780-789 - Jian Han, Ya-Li Li, Shengjin Wang:
Delving into Probabilistic Uncertainty for Unsupervised Domain Adaptive Person Re-identification. 790-798 - Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang:
Laneformer: Object-Aware Row-Column Transformers for Lane Detection. 799-807 - Jiayi Han, Longbin Zeng, Liang Du, Xiaoqing Ye, Weiyang Ding, Jianfeng Feng:
Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer. 808-816 - Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan:
Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption. 817-825 - Zongbo Hao, Tao Zhang, Mingwang Chen, Kaixu Zhou:
RRL: Regional Rotate Layer in Convolutional Neural Networks. 826-833 - Fei He, Naiyu Gao, Jian Jia, Xin Zhao, Kaiqi Huang:
QueryProp: Object Query Propagation for High-Performance Video Object Detection. 834-842 - Jinzheng He, Zhou Zhao, Yi Ren, Jinglin Liu, Baoxing Huai, Nicholas Jing Yuan:
Flow-Based Unconstrained Lip to Speech Generation. 843-851 - Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang:
TransFG: A Transformer Architecture for Fine-Grained Recognition. 852-860 - Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan:
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. 861-869 - Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu:
SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds. 870-878 - Tao He, Leqi Shen, Yuchen Guo, Guiguang Ding, Zhenhua Guo:
SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification. 879-887 - Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du:
Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition. 888-896 - David T. Hoffmann, Nadine Behrmann, Juergen Gall, Thomas Brox, Mehdi Noroozi:
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives. 897-905 - Ming Hong, Jianzhuang Liu, Cuihua Li, Yanyun Qu:
Uncertainty-Driven Dehazing Network. 906-913 - Yan Hong, Li Niu, Jianfu Zhang:
Shadow Generation for Composite Image in Real-World Scenes. 914-922 - Liping Hou, Ke Lu, Jian Xue, Yuqiu Li:
Shape-Adaptive Selection and Measurement for Oriented Object Detection. 923-932 - Wentai Hou, Lequan Yu, Chengxuan Lin, Helong Huang, Rongshan Yu, Jing Qin, Liansheng Wang:
H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis. 933-941 - Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu:
Elastic-Link for Binarized Neural Networks. 942-950 - Juan Hu, Xin Liao, Jinwen Liang, Wenbo Zhou, Zheng Qin:
FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos. 951-959 - Xiwei Hu, Xuanhong Chen, Bingbing Ni, Teng Li, Yutian Liu:
Bi-volution: A Static and Dynamic Coupled Filter. 960-968 - Yihan Hu, Zhuangzhuang Ding, Runzhou Ge, Wenxin Shao, Li Huang, Kun Li, Qiang Liu:
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds. 969-979 - Zhengdong Hu, Yifan Sun, Yi Yang, Jianguang Zhou:
Divide-and-Regroup Clustering for Domain Adaptive Person Re-identification. 980-988 - Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma:
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. 989-997 - Jianqiang Huang, Yu Qin, Jiaxin Qi, Qianru Sun, Hanwang Zhang:
Deconfounded Visual Grounding. 998-1006 - Wei Huang, Shiyu Deng, Chang Chen, Xueyang Fu, Zhiwei Xiong:
Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation. 1007-1015 - Ye Huang, Di Kang, Wenjing Jia, Liu Liu, Xiangjian He:
Channelized Axial Attention - considering Channel Relation within Spatial Attention for Semantic Segmentation. 1016-1025 - Yecheng Huang, Jiaxin Chen, Di Huang:
UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery. 1026-1033 - Zhipeng Huang, Jiawei Liu, Liang Li, Kecheng Zheng, Zheng-Jun Zha:
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-identification. 1034-1042 - Md Mofijul Islam, Tariq Iqbal:
MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion. 1043-1051 - Haedong Jeong, Jiyeon Han, Jaesik Choi:
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks. 1052-1059 - Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Jongwon Choi:
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations. 1060-1068 - Jian Jia, Naiyu Gao, Fei He, Xiaotang Chen, Kaiqi Huang:
Learning Disentangled Attribute Representations for Robust Pedestrian Attribute Recognition. 1069-1077 - Kui Jiang, Zhongyuan Wang, Zheng Wang, Chen Chen, Peng Yi, Tao Lu, Chia-Wen Lin:
Degrade Is Upgrade: Learning Degradation for Low-Light Image Enhancement. 1078-1086 - Meirui Jiang, Zirui Wang, Qi Dou:
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images. 1087-1095 - Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang:
Coarse-to-Fine Generative Modeling for Graphic Layouts. 1096-1103 - Shuangping Jin, Bingbing Yu, Minhao Jing, Yi Zhou, Jiajun Liang, Renhe Ji:
DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior. 1104-1112 - Zi-Rong Jin, Tian-Jing Zhang, Tai-Xiang Jiang, Gemine Vivone, Liang-Jian Deng:
LAGConv: Local-Context Adaptive Convolution Kernels with Global Harmonic Bias for Pansharpening. 1113-1121 - Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu:
Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing. 1122-1130 - Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu:
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition. 1131-1139 - Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, Rynson W. H. Lau:
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition. 1140-1147 - Inhan Kim, Joonyeong Lee, Daijin Kim:
Learning Mixture of Domain-Specific Experts via Disentangled Factors for Autonomous Driving. 1148-1156 - Jung Uk Kim, Sungjune Park, Yong Man Ro:
Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory. 1157-1165 - Junhan Kim, Kyuhong Shim, Byonghyo Shim:
Semantic Feature Extraction for Generalized Zero-Shot Learning. 1166-1173 - Minsu Kim, Jeong Hun Yeo, Yong Man Ro:
Distinguishing Homophenes Using Multi-Head Visual-Audio Memory for Lip Reading. 1174-1182 - Sunwoo Kim, Soohyun Kim, Seungryong Kim:
Deep Translation Prior: Test-Time Training for Photorealistic Style Transfer. 1183-1191 - Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda:
PrivateSNN: Privacy-Preserving Spiking Neural Networks. 1192-1200 - Yujin Kim, Dogyun Park, Dohee Kim, Suhyun Kim:
NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency. 1201-1209 - Junho Koh, Jaekyum Kim, Jin Hyeok Yoo, Yecheol Kim, Dongsuk Kum, Jun Won Choi:
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds. 1210-1218
AAAI Technical Track on Computer Vision II
- Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan:
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. 1220-1227 - Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang:
Siamese Network with Interactive Transformer for Video Object Segmentation. 1228-1236 - Wooju Lee, Hyun Myung:
Adversarial Attack for Asynchronous Event-Based Data. 1237-1244 - Youngjo Lee, Hongje Seong, Euntai Kim:
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier. 1245-1253 - Bing Li, Cheng Zheng, Silvio Giancola, Bernard Ghanem:
SCTN: Sparse Convolution-Transformer Network for Scene Flow Estimation. 1254-1262 - Bonan Li, Pengfei Xiong, Congying Han, Tiande Guo:
Shrinking Temporal Attention in Transformers for Video Action Recognition. 1263-1271 - Buyu Li, Yongchi Zhao, Zhelun Shi, Lu Sheng:
DanceFormer: Music Conditioned 3D Dance Generation with Parametric Motion Transformer. 1272-1279 - Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang:
Interpretable Generative Adversarial Networks. 1280-1288 - Chenglong Li, Tianhao Zhu, Lei Liu, Xiaonan Si, Zilin Fan, Sulan Zhai:
Cross-Modal Object Tracking: Modality-Aware Representations and a Unified Benchmark. 1289-1296 - Dezhuang Li, Ruoqi Li, Lijun Wang, Yifan Wang, Jinqing Qi, Lu Zhang, Ting Liu, Qingquan Xu, Huchuan Lu:
You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation. 1297-1305 - Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang:
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation. 1306-1313 - Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis:
Rethinking Pseudo Labels for Semi-supervised Object Detection. 1314-1322 - Jiangtong Li, Li Niu, Liqing Zhang:
Action-Aware Embedding Enhancement for Image-Text Retrieval. 1323-1331 - Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian:
Retinomorphic Object Detection in Asynchronous Visual Streams. 1332-1340 - Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister:
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. 1341-1349 - Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang:
Learning Universal Adversarial Perturbation by Adversarial Example. 1350-1358 - Mengyang Li, Fengguang Su, Ou Wu, Ji Zhang:
Logit Perturbation. 1359-1366 - Pandeng Li, Yan Li, Hongtao Xie, Lei Zhang:
Neighborhood-Adaptive Structure Augmented Metric Learning. 1367-1375 - Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng:
Stereo Neural Vernier Caliper. 1376-1385 - Shidi Li, Miaomiao Liu, Christian Walder:
EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation. 1386-1394 - Shuo Li, Fang Liu, Licheng Jiao:
Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection. 1395-1403 - Shuyuan Li, Huabin Liu, Rui Qian, Yuxi Li, John See, Mengjuan Fei, Xiaoyuan Yu, Weiyao Lin:
TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition. 1404-1411 - Wenbo Li, Kun Zhou, Lu Qi, Liying Lu, Jiangbo Lu:
Best-Buddy GANs for Highly Detailed Image Super-resolution. 1412-1420 - Wuyang Li, Xinyu Liu, Xiwen Yao, Yixuan Yuan:
SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation. 1421-1428 - Xiang Li, Jinglu Wang, Xiao Li, Yan Lu:
Hybrid Instance-Aware Temporal Fusion for Online Video Instance Segmentation. 1429-1437 - Yi Li, Yi Chang, Changfeng Yu, Luxin Yan:
Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation. 1438-1446 - Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li:
Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation. 1447-1455 - Yidi Li, Hong Liu, Hao Tang:
Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking. 1456-1463 - Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
Defending against Model Stealing via Verifying Embedded External Features. 1464-1472 - Yishi Li, Kunran Xu, Rui Lai, Lin Gu:
Towards an Effective Orthogonal Dictionary Convolution Strategy. 1473-1481 - Yu-Ke Li, Pin Wang, Lixiong Chen, Zheng Wang, Ching-Yao Chan:
ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting. 1482-1490 - Yunqiang Li, Silvia-Laura Pintea, Jan C. van Gemert:
Equal Bits: Enforcing Equally Distributed Binary Network Weights. 1491-1499 - Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. 1500-1508 - Zhimin Li, Cheng Zou, Yu Zhao, Boxun Li, Sheng Zhong:
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition. 1509-1517 - Zhuo Li, Weiqing Min, Jiajun Song, Yaohui Zhu, Liping Kang, Xiaoming Wei, Xiaolin Wei, Shuqiang Jiang:
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones Is Enough. 1518-1526 - Zongyi Li, Yuxuan Shi, Hefei Ling, Jiazhong Chen, Qian Wang, Fengfan Zhou:
Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification. 1527-1535 - Zongzhao Li, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang:
Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction. 1536-1545 - Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Weiming Hu:
One More Check: Making "Fake Background" Be Tracked Again. 1546-1554 - Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou:
Semantically Contrastive Learning for Low-Light Image Enhancement. 1555-1563 - Hanwen Liang, Niamul Quader, Zhixiang Chi, Lizhe Chen, Peng Dai, Juwei Lu, Yang Wang:
Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity. 1564-1573 - Jing Liang, Li Niu, Penghao Wu, Fengjun Guo, Teng Long:
Inharmonious Region Localization by Magnifying Domain Discrepancy. 1574-1582 - Junxiong Liang, Pei An, Jie Ma:
Distribution Aware VoteNet for 3D Object Detection. 1583-1591 - Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang:
Contrastive Instruction-Trajectory Learning for Vision-Language Navigation. 1592-1600 - Tiancheng Lin, Hongteng Xu, Canqian Yang, Yi Xu:
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction. 1601-1609 - Xiangru Lin, Ziyi Wu, Guanqi Chen, Guanbin Li, Yizhou Yu:
A Causal Debiasing Framework for Unsupervised Salient Object Detection. 1610-1619 - Xiangru Lin, Yuyang Chen, Guanbin Li, Yizhou Yu:
A Causal Inference Look at Unsupervised Video Anomaly Detection. 1620-1629 - Yiyang Lin, Bowei Zeng, Yifeng Wang, Yang Chen, Zijie Fang, Jian Zhang, Xiangyang Ji, Haoqian Wang, Yongbing Zhang:
Unpaired Multi-Domain Stain Transfer for Kidney Histopathological Images. 1630-1637 - Yuankai Lin, Tao Cheng, Qi Zhong, Wending Zhou, Hua Yang:
Dynamic Spatial Propagation Network for Depth Completion. 1638-1646 - Biyang Liu, Huimin Yu, Yangqi Long:
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks. 1647-1655 - Chih-Ting Liu, Chien-Yi Wang, Shao-Yi Chien, Shang-Hong Lai:
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition. 1656-1664 - Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou:
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. 1665-1673 - Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu:
Exploring Motion and Appearance Information for Temporal Sentence Grounding. 1674-1682 - Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou:
Unsupervised Temporal Video Grounding with Deep Semantic Clustering. 1683-1691 - Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Li Jiang:
SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks. 1692-1701 - Hao Liu, Bin Wang, Zhimin Bao, Mobai Xue, Sheng Kang, Deqiang Jiang, Yinsong Liu, Bo Ren:
Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition. 1702-1710 - Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang:
AnchorFace: Boosting TAR@FAR for Practical Face Recognition. 1711-1719 - Jialun Liu, Wenhui Li, Yifan Sun:
Memory-Based Jitter: Improving Visual Recognition on Long-Tailed Data with Diversity in Memory. 1720-1728 - Jiawei Liu, Zhipeng Huang, Liang Li, Kecheng Zheng, Zheng-Jun Zha:
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification. 1729-1737 - Jinglin Liu, Zhiying Zhu, Yi Ren, Wencan Huang, Baoxing Huai, Nicholas Jing Yuan, Zhou Zhao:
Parallel and High-Fidelity Text-to-Lip Generation. 1738-1746 - Lin Liu, Shanxin Yuan, Jianzhuang Liu, Xin Guo, Youliang Yan, Qi Tian:
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers. 1747-1755 - Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. 1756-1764 - Ruijin Liu, Dapeng Chen, Tie Liu, Zhiliang Xiong, Zejian Yuan:
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints. 1765-1772 - Sheng Liu, Kevin Lin, Lijuan Wang, Junsong Yuan, Zicheng Liu:
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning. 1773-1781 - Shice Liu, Shitao Lu, Hongyi Xu, Jing Yang, Shouhong Ding, Lizhuang Ma:
Feature Generation and Hypothesis Verification for Reliable Face Anti-spoofing. 1782-1791 - Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang:
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions. 1792-1800 - Xian Liu, Rui Qian, Hang Zhou, Di Hu, Weiyao Lin, Ziwei Liu, Bolei Zhou, Xiaowei Zhou:
Visual Sound Localization in the Wild by Cross-Modal Interference Erasing. 1801-1809 - Xianpeng Liu, Nan Xue, Tianfu Wu:
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection. 1810-1818 - Xinpeng Liu, Yong-Lu Li, Cewu Lu:
Highlighting Object Category Immunity for the Generalization of Human-Object Interaction Detection. 1819-1827 - Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He:
DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network. 1828-1836 - Yuang Liu, Wei Zhang, Jun Wang:
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation. 1837-1845 - Zhenhuan Liu, Liang Li, Huajie Jiang, Xin Jin, Dandan Tu, Shuhui Wang, Zheng-Jun Zha:
Unsupervised Coherent Video Cartoonization with Perceptual Motion Consistency. 1846-1853 - Zhili Liu, Jianhua Han, Lanqing Hong, Hang Xu, Kai Chen, Chunjing Xu, Zhenguo Li:
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing. 1854-1862 - Jiawei Lu, He Wang, Tianjia Shao, Yin Yang, Kun Zhou:
Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction. 1863-1871 - Jing Lu, Yunlu Xu, Hao Li, Zhanzhan Cheng, Yi Niu:
PMAL: Open Set Recognition via Robust Prototype Mining. 1872-1880 - Thomas Lucas, Philippe Weinzaepfel, Grégory Rogez:
Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images. 1881-1889 - Ao Luo, Fan Yang, Kunming Luo, Xin Li, Haoqiang Fan, Shuaicheng Liu:
Learning Optical Flow with Adaptive Graph Reasoning. 1890-1898 - Xinjian Luo, Xiaokui Xiao, Yuncheng Wu, Juncheng Liu, Beng Chin Ooi:
A Fusion-Denoising Attack on InstaHide with Data Augmentation. 1899-1907 - Yaoru Luo, Guole Liu, Yuanhao Guo, Ge Yang:
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation. 1908-1916 - Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu:
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration. 1917-1925 - Rongkai Ma, Pengfei Fang, Tom Drummond, Mehrtash Harandi:
Adaptive Poincaré Point to Set Distance for Few-Shot Classification. 1926-1934 - Ruijun Ma, Shuyi Li, Bob Zhang, Zhengming Li:
Generative Adaptive Convolutions for Real-World Noisy Image Denoising. 1935-1943 - Xianzheng Ma, Hossein Rahmani, Zhipeng Fan, Bin Yang, Jun Chen, Jun Liu:
REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos. 1944-1952 - Binjie Mao, Xinbang Zhang, Lingfeng Wang, Qian Zhang, Shiming Xiang, Chunhong Pan:
Learning from the Target: Dual Prototype Network for Few Shot Semantic Segmentation. 1953-1961 - Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. 1962-1971 - Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni:
Towards Bridging Sample Complexity and Model Capacity. 1972-1980 - Langyuan Mo, Haokun Li, Chaoyang Zou, Yubing Zhang, Ming Yang, Yihong Yang, Mingkui Tan:
Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints. 1981-1989 - Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh:
Can Vision Transformers Learn without Natural Images? 1990-1998 - Yifan Niu, Weihong Deng:
Federated Learning for Face Recognition with Gradient Correction. 1999-2007 - Hao Ouyang, Tengfei Wang, Qifeng Chen:
Restorable Image Operators with Quasi-Invertible Networks. 2008-2016 - Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava, Patrick Lange, Anjali Narayan-Chen, Spandana Gella, Robinson Piramuthu, Gökhan Tür, Dilek Hakkani-Tür:
TEACh: Task-Driven Embodied Agents That Chat. 2017-2025 - Junwen Pan, Qi Bi, Yanzhan Yang, Pengfei Zhu, Cheng Bian:
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation. 2026-2034 - Zizheng Pan, Bohan Zhuang, Haoyu He, Jing Liu, Jianfei Cai:
Less Is More: Pay Less Attention in Vision Transformers. 2035-2043 - Bo Pang, Yizhuo Li, Yifan Zhang, Gao Peng, Jiajun Tang, Kaiwen Zha, Jiefeng Li, Cewu Lu:
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning. 2044-2052 - Minseong Park, Hongje Seong, Wonje Jang, Euntai Kim:
Graph-Based Point Tracker for 3D Object Tracking in Point Clouds. 2053-2061 - Se Jin Park, Minsu Kim, Joanna Hong, Jeongsoo Choi, Yong Man Ro:
SyncTalkFace: Talking Face Generation with Precise Lip-Syncing via Audio-Lip Memory. 2062-2070 - Sayak Paul, Pin-Yu Chen:
Vision Transformers Are Robust Learners. 2071-2081 - Wanli Peng, Jianhang Yan, Hongtao Wen, Yi Sun:
Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation. 2082-2090 - Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. 2091-2098 - Xuwei Qian, Renlong Hang, Qingshan Liu:
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification. 2099-2107 - Yu Qiao, Jincheng Zhu, Chengjiang Long, Zeyao Zhang, Yuxin Wang, Zhenjun Du, Xin Yang:
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation. 2108-2116 - Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang:
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. 2117-2125 - Linhao Qu, Shaolei Liu, Manning Wang, Zhijian Song:
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning. 2126-2134 - Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. 2135-2143 - Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu:
Decompose the Sounds and Pixels, Recompose the Events. 2144-2152 - Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira:
Learning from Label Proportions with Prototypical Contrastive Clustering. 2153-2161 - Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan:
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. 2162-2170 - Constantin Marc Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen:
Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation. 2171-2179 - Seonguk Seo, Joon-Young Lee, Bohyung Han:
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation. 2180-2188 - Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Scene Graph Classification by Exploiting Knowledge from Texts. 2189-2197 - Yaqi Shen, Le Hui, Haobo Jiang, Jin Xie, Jian Yang:
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration. 2198-2206 - Yifan Shen, Li Liu, Zhihao Tang, Zongyi Chen, Guixiang Ma, Jiyan Dong, Xi Zhang, Lin Yang, Qingfeng Zheng:
Explainable Survival Analysis with Convolution-Involved Vision Transformer. 2207-2215 - Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing:
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. 2216-2224 - Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang:
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. 2225-2234 - Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua:
Social Interpretable Tree for Pedestrian Trajectory Prediction. 2235-2243 - Yahao Shi, Xinyu Cao, Feixiang Lu, Bin Zhou:
P^3-Net: Part Mobility Parsing from Point Cloud Sequences via Learning Explicit Point Correspondence. 2244-2252 - Zhan Shi, Yilin Shen, Hongxia Jin, Xiaodan Zhu:
Improving Zero-Shot Phrase Grounding via Reasoning on External Knowledge and Spatial Relations. 2253-2261 - Dipika Singhania, Rahul Rahaman, Angela Yao:
Iterative Contrast-Classify for Semi-supervised Temporal Action Segmentation. 2262-2270 - Nan Song, Tianyuan Jiang, Jian Yao:
JPV-Net: Joint Point-Voxel Representations for Accurate 3D Object Detection. 2271-2279 - Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang:
Fully Attentional Network for Semantic Segmentation. 2280-2288 - Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang, Qingyao Wu:
Self-Supervised Object Localization with Joint Graph Partition. 2289-2297 - Jianhua Sun, Haoshu Fang, Xianghui Zhu, Jiefeng Li, Cewu Lu:
Correlation Field for Boosting 3D Object Detection in Structured Scenes. 2298-2306 - Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. 2307-2315 - Ke Sun, Taiping Yao, Shen Chen, Shouhong Ding, Jilin Li, Rongrong Ji:
Dual Contrastive Learning for General Face Forgery Detection. 2316-2324 - Zhaoyang Sun, Yaxiong Chen, Shengwu Xiong:
SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal. 2325-2334 - Nariki Tanaka, Hiroshi Kera, Kazuhiko Kawamoto:
Adversarial Bone Length Attack on Action Recognition. 2335-2343 - Chuanxin Tang, Yucheng Zhao, Guangting Wang, Chong Luo, Wenxuan Xie, Wenjun Zeng:
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary? 2344-2351 - Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng:
Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective. 2352-2360 - Yuxiang Tang, Xuejing Kang, Chunxiao Li, Zhaowen Lin, Anlong Ming:
Transfer Learning for Color Constancy via Statistic Perspective. 2361-2369 - Jialin Tian, Xing Xu, Fumin Shen, Yang Yang, Heng Tao Shen:
TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval. 2370-2378 - Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujuan Cao, Ling Shao:
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference. 2379-2387 - Changwei Wang, Rongtao Xu, Yuyang Zhang, Shibiao Xu, Weiliang Meng, Bin Fan, Xiaopeng Zhang:
MTLDesc: Looking Wider to Describe Better. 2388-2396 - Chi Wang, Yunke Zhang, Miaomiao Cui, Peiran Ren, Yin Yang, Xuansong Xie, Xian-Sheng Hua, Hujun Bao, Weiwei Xu:
Active Boundary Loss for Semantic Segmentation. 2397-2405 - Cong Wang, Jinshan Pan, Xiao-Ming Wu:
Online-Updated High-Order Collaborative Networks for Single Image Deraining. 2406-2413 - Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen:
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. 2414-2422 - Guangting Wang, Yucheng Zhao, Chuanxin Tang, Chong Luo, Wenjun Zeng:
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism. 2423-2430 - Hao Wang, Euijoon Ahn, Jinman Kim:
Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. 2431-2439
AAAI Technical Track on Computer Vision III
- Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane:
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. 2441-2449 - Hualiang Wang, Huanpeng Chu, Siming Fu, Zuozhu Liu, Haoji Hu:
Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation. 2450-2458 - Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou:
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. 2459-2467 - Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia:
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval. 2468-2476 - Kaihong Wang, Kumar Akash, Teruhisa Misu:
Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow. 2477-2486 - Li Wang, Dong Li, Han Liu, Jinzhang Peng, Lu Tian, Yi Shan:
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving. 2487-2494 - Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin:
Scaled ReLU Matters for Training Vision Transformers. 2495-2503 - Qiangchang Wang, Guodong Guo:
CQA-Face: Contrastive Quality-Aware Attentions for Face Recognition. 2504-2512 - Shijie Wang, Zhihui Wang, Haojie Li, Wanli Ouyang:
Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval. 2513-2521 - Shunzhou Wang, Tianfei Zhou, Yao Lu, Huijun Di:
Detail-Preserving Transformer for Light Field Image Super-resolution. 2522-2530 - Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu:
One-Shot Talking Face Generation from Single-Speaker Audio-Visual Correlation Learning. 2531-2539 - Tao Wang, Hong Liu, Pinhao Song, Tianyu Guo, Wei Shi:
Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer. 2540-2549 - Xuzhi Wang, Di Lin, Liang Wan:
FFNet: Frequency Fusion Network for Semantic Scene Completion. 2550-2557 - Yinggui Wang, Jian Liu, Man Luo, Le Yang, Li Wang:
Privacy-Preserving Face Recognition in the Frequency Domain. 2558-2566 - Yingming Wang, Xiangyu Zhang, Tong Yang, Jian Sun:
Anchor DETR: Query Design for Transformer-Based Detector. 2567-2575 - Yinhuai Wang, Yujie Hu, Jian Zhang:
Panini-Net: GAN Prior Based Degradation-Aware Feature Interpolation for Face Restoration. 2576-2584 - Yiyu Wang, Jungang Xu, Yingfei Sun:
End-to-End Transformer Based Model for Image Captioning. 2585-2594 - Yuan Wang, Min Cao, Zhenfeng Fan, Silong Peng:
Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network. 2595-2603 - Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot:
Low-Light Image Enhancement with Normalizing Flow. 2604-2612 - Zhenzhi Wang, Limin Wang, Tao Wu, Tianhao Li, Gangshan Wu:
Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding. 2613-2623 - Zhizhong Wang, Lei Zhao, Haibo Chen, Ailin Li, Zhiwen Zuo, Wei Xing, Dongming Lu:
Texture Reformer: Towards Fast and Universal Interactive Texture Transfer. 2624-2632 - Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang:
Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification. 2633-2641 - Longhui Wei, Lingxi Xie, Jianzhong He, Xiaopeng Zhang, Qi Tian:
Can Semantic Labels Assist Self-Supervised Visual Representation Learning? 2642-2650 - Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua:
Rethinking the Two-Stage Framework for Grounded Situation Recognition. 2651-2658 - Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang:
Boosting the Transferability of Video Adversarial Examples via Temporal Translation. 2659-2667 - Zhipeng Wei, Jingjing Chen, Micah Goldblum, Zuxuan Wu, Tom Goldstein, Yu-Gang Jiang:
Towards Transferable Adversarial Attacks on Vision Transformers. 2668-2676 - Shuchen Weng, Hao Wu, Zheng Chang, Jiajun Tang, Si Li, Boxin Shi:
L-CoDe: Language-Based Colorization Using Color-Object Decoupled Conditions. 2677-2684 - Benjamin Wu, Chao Liu, Benjamin Eckart, Jan Kautz:
Neural Interferometry: Image Reconstruction from Astronomical Interferometers Using Transformer-Conditioned Neural Fields. 2685-2693 - Changjie Wu, Jun Du, Yunqing Li, Jianshu Zhang, Chen Yang, Bo Ren, Yiqing Hu:
TDv2: A Novel Tree-Structured Decoder for Offline Mathematical Expression Recognition. 2694-2702 - Hui Wu, Min Wang, Wengang Zhou, Yang Hu, Houqiang Li:
Learning Token-Based Representation for Image Retrieval. 2703-2711 - Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi:
Multi-Modal Answer Validation for Knowledge-Based VQA. 2712-2721 - Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Ling-Yu Duan:
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation. 2722-2730 - Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo:
Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention. 2731-2739 - Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang:
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation. 2740-2749 - Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang:
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID. 2750-2758 - Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou:
Efficient Non-local Contrastive Attention for Image Super-resolution. 2759-2767 - Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou:
Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-resolution. 2768-2776 - Haifeng Xia, Zhengming Ding:
Cross-Domain Collaborative Normalization via Structural Knowledge. 2777-2785 - Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding:
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. 2786-2794 - Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, Shijian Lu:
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation. 2795-2803 - Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua:
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. 2804-2812 - Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Guoli Wang, Qian Zhang, Mingshu He:
AdaptivePose: Human Parts as Adaptive Points. 2813-2821 - Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Lei Jin, Guoli Wang, Qian Zhang:
Learning Quality-Aware Representation for Multi-Person Pose Regression. 2822-2830 - Yun Xiao, Mengmeng Yang, Chenglong Li, Lei Liu, Jin Tang:
Attribute-Based Progressive Fusion Network for RGBT Tracking. 2831-2838 - Yunze Xiao, Hao Zhu, Haotian Yang, Zhengyu Diao, Xiangju Lu, Xun Cao:
Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function. 2839-2847 - Hao Xu, Nianjin Ye, Guanghui Liu, Bing Zeng, Shuaicheng Liu:
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration. 2848-2856 - Jun-Peng Xu, Chenyu Zuo, Fang-Lue Zhang, Miao Wang:
Rendering-Aware HDR Environment Map Prediction from a Single Image. 2857-2865 - Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie:
Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition. 2866-2874 - Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-Wing Tai:
Transcoded Video Restoration by Temporal Spatial Auxiliary Network. 2875-2883 - Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wenhui Han, Wei Zhang, Chengjie Wang, Ying Tai:
DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation. 2884-2892 - Qiangeng Xu, Yiqi Zhong, Ulrich Neumann:
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection. 2893-2901 - Rui Xu, Zongyan Han, Le Hui, Jianjun Qian, Jin Xie:
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval. 2902-2910 - Shu-Lin Xu, Faen Zhang, Xiu-Shen Wei, Jianhua Wang:
Dual Attention Networks for Few-Shot Fine-Grained Recognition. 2911-2919 - Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao:
Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation. 2920-2928 - Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng:
Towards Fully Sparse Training: Information Restoration with Spatial Similarity. 2929-2937 - Xiaogang Xu, Ning Xu:
Hierarchical Image Generation via Transformer-Based Sequential Patch Selection. 2938-2945 - Xiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu:
Reliable Propagation-Correction Modulation for Video Object Segmentation. 2946-2954 - Xixia Xu, Qi Zou, Xue Lin:
Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation. 2955-2963 - Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun:
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer. 2964-2972 - Zhiliang Xu, Zhibin Hong, Changxing Ding, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding:
MobileFaceSwap: A Lightweight Framework for Video Face Swapping. 2973-2981 - Bin Yan, Mingtao Pei:
Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation. 2982-2990 - Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. 2991-2999 - Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li:
Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning. 3000-3008 - Siyuan Yan, Jing Zhang, Nick Barnes:
Transmission-Guided Bayesian Generative Model for Smoke Segmentation. 3009-3017 - Xirui Yan, Zhenbo Yu, Bingbing Ni, Hang Wang:
Cross-Species 3D Face Morphing via Alignment-Aware Controller. 3018-3026 - Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang:
Exploring Visual Context for Weakly Supervised Person Search. 3027-3035 - Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang:
Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation. 3036-3044 - Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Mutual Contrastive Learning for Visual Representation Learning. 3045-3053 - Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang:
Temporal Action Proposal Generation with Background Constraint. 3054-3062 - Xiaoshan Yang, Baochen Xiong, Yi Huang, Changsheng Xu:
Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning. 3063-3071 - Yang Yang, Jifeng Chen, Xiaopin Zhong, Yuanlong Deng:
Polygon-to-Polygon Distance Loss for Rotated Object Detection. 3072-3080 - Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, Lijuan Wang:
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA. 3081-3089 - Zichen Yang, Jie Qin, Di Huang:
ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization. 3090-3098 - Huifeng Yao, Xiaowei Hu, Xiaomeng Li:
Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation. 3099-3107 - Linli Yao, Weiying Wang, Qin Jin:
Image Difference Captioning with Pre-training and Contrastive Learning. 3108-3116 - Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. 3117-3124 - Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers:
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections. 3125-3133 - Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang:
Content-Variant Reference Image Quality Assessment via Knowledge Distillation. 3134-3142 - Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui:
Width & Depth Pruning for Vision Transformers. 3143-3151 - Huangjie Yu, Anpei Chen, Xin Chen, Lan Xu, Ziyu Shao, Jingyi Yu:
Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting. 3152-3160 - Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Self-Labeling Framework for Novel Category Discovery over Domains. 3161-3169 - Tan Yu, Yunfeng Cai, Ping Li:
Efficient Compact Bilinear Pooling via Kronecker Product. 3170-3178 - Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang:
Hybrid Graph Neural Networks for Few-Shot Learning. 3179-3187 - Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan:
SOIT: Segmenting Objects with Instance-Aware Transformers. 3188-3196 - Ge Yuan, Huicheng Zheng, Jiayu Dong:
MSML: Enhancing Occlusion-Robustness by Multi-Scale Segmentation-Based Mask Learning for Face Recognition. 3197-3205 - Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu:
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics. 3206-3214 - Wang Yuan, Zhizhong Zhang, Cong Wang, Haichuan Song, Yuan Xie, Lizhuang Ma:
Task-Level Self-Supervision for Cross-Domain Few-Shot Learning. 3215-3223 - Ilwi Yun, Hyuk-Jae Lee, Chae-Eun Rhee:
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning. 3224-3233 - Xinrui Zhan, Yueran Liu, Jianke Zhu, Yang Li:
Homography Decomposition Networks for Planar Object Tracking. 3234-3242 - Baogen Zhang, Sheng Li, Guorui Feng, Zhenxing Qian, Xinpeng Zhang:
Patch Diffusion: A General Module for Face Manipulation Detection. 3243-3251 - Fangyuan Zhang, Tianxiang Pan, Bin Wang:
Semi-supervised Object Detection with Adaptive Class-Rebalancing Self-Training. 3252-3261 - Huatian Zhang, Zhendong Mao, Kun Zhang, Yongdong Zhang:
Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching. 3262-3270 - Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu:
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution. 3271-3279 - Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes:
Energy-Based Generative Cooperative Saliency Prediction. 3280-3290 - Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin:
Attention-Based Transformation from Latent Features to Point Clouds. 3291-3299 - Manlin Zhang, Jinpeng Wang, Andy J. Ma:
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning. 3300-3308 - Peizhen Zhang, Zijian Kang, Tong Yang, Xiangyu Zhang, Nanning Zheng, Jian Sun:
LGD: Label-Guided Self-Distillation for Object Detection. 3309-3317 - Quan Zhang, Jian-Huang Lai, Zhan-Xiang Feng, Xiaohua Xie:
Uncertainty Modeling with Second-Order Transformer for Group Re-identification. 3318-3325 - Tao Zhang, Ying Fu, Cheng Li:
Deep Spatial Adaptive Network for Real Image Demosaicing. 3326-3334 - Wenqiao Zhang, Haochen Shi, Jiannan Guo, Shengyu Zhang, Qingpeng Cai, Juncheng Li, Sihui Luo, Yueting Zhuang:
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning. 3335-3343 - Xiang Zhang, Wanqing Zhao, Hangzai Luo, Jinye Peng, Jianping Fan:
Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation. 3344-3352 - Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu:
Context-Based Contrastive Learning for Scene Text Recognition. 3353-3361 - Xuelin Zhang, Xuelian Cheng, Donghao Zhang, C. Paul Bonnington, Zongyuan Ge:
Learning Network Architecture for Open-Set Recognition. 3362-3370 - Yang Zhang, Wang Zhou, Gaoyuan Zhang, David D. Cox, Shiyu Chang:
An Adversarial Framework for Generating Unseen Images by Activation Maximization. 3371-3379 - Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang, Weifeng Ou, Yuzhi Zhao, Wing Yin Yu:
Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation. 3380-3389 - Zhenduo Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Qingmin Liao:
Pose-Invariant Face Recognition via Adaptive Angular Distillation. 3390-3398 - Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song, Mingyi He:
End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration. 3399-3407 - Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo, Bowen Zhou:
PetsGAN: Rethinking Priors for Single Image Generation. 3408-3416 - Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister:
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. 3417-3425 - Lifan Zhao, Yunlong Meng, Lin Xu:
OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation. 3426-3435 - Na Zhao, Gim Hee Lee:
Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection. 3436-3445 - Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji:
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. 3446-3453 - Xiaojie Zhao, Yuming Shen, Shidong Wang, Haofeng Zhang:
Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation. 3454-3462 - Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan:
Self-Supervised Pretraining for RGB-D Salient Object Detection. 3463-3471 - Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jihong Zhu:
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition. 3472-3480 - Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu:
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving. 3481-3489 - Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu:
Learning from the Tangram to Solve Mini Visual Tasks. 3490-3498 - Jingjing Zheng, Xiaoqin Zhang, Wenzhe Wang, Xianta Jiang:
Handling Slice Permutations Variability in Tensor Recovery. 3499-3507 - Kai Zheng, Yuanjiang Wang, Ye Yuan:
Boosting Contrastive Learning with Relation Knowledge Distillation. 3508-3516 - Minghang Zheng, Yanjie Huang, Qingchao Chen, Yang Liu:
Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining. 3517-3525 - Shida Zheng, Chenshu Chen, Xiaowei Cai, Tingqun Ye, Wenming Tan:
Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head. 3526-3534 - Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai:
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression. 3535-3543 - Dongzhan Zhou, Xinchi Zhou, Di Hu, Hang Zhou, Lei Bai, Ziwei Liu, Wanli Ouyang:
SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation. 3544-3552 - Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu:
Pan-Sharpening with Customized Transformer and Invertible Neural Network. 3553-3561 - Shili Zhou, Weimin Tan, Bo Yan:
Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation. 3562-3570 - Wujie Zhou, Shaohua Dong, Caie Xu, Yaguan Qian:
Edge-Aware Guidance Fusion Network for RGB-Thermal Scene Parsing. 3571-3579 - Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun:
TiGAN: Text-Based Interactive Image Generation and Manipulation. 3580-3588 - Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang:
Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification. 3589-3597 - Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang, Lean Fu, Fei Wang:
Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring. 3598-3607 - Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Mingqiang Wei, Jing Qin:
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection. 3608-3616 - Wentao Zhu, Zhuoqian Yang, Ziang Di, Wayne Wu, Yizhou Wang, Chen Change Loy:
MoCaNet: Motion Retargeting In-the-Wild via Canonicalization Networks. 3617-3625 - Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi:
Robust Depth Completion with Uncertainty-Driven Loss Functions. 3626-3634 - Yurui Zhu, Zeyu Xiao, Yanchi Fang, Xueyang Fu, Zhiwei Xiong, Zheng-Jun Zha:
Efficient Model-Driven Network for Shadow Removal. 3635-3643 - Zixin Zhu, Le Wang, Wei Tang, Ziyi Liu, Nanning Zheng, Gang Hua:
Learning Disentangled Classification and Localization Representations for Temporal Action Localization. 3644-3652 - Chuanqing Zhuang, Zhengda Lu, Yiqun Wang, Jun Xiao, Ying Wang:
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation. 3653-3661 - Junhua Zou, Yexin Duan, Boyu Li, Wu Zhang, Yu Pan, Zhisong Pan:
Making Adversarial Examples More Transferable and Indistinguishable. 3662-3670
AAAI Technical Track on Constraint Satisfaction and Optimization
- Florent Avellaneda, Roger Villemaire:
Undercover Boolean Matrix Factorization with MaxSAT. 3672-3681 - Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. 3682-3689 - Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker:
GEQCA: Generic Qualitative Constraint Acquisition. 3690-3697 - Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström:
Certified Symmetry and Dominance Breaking for Combinatorial Optimisation. 3698-3707 - Chris Cameron, Jason S. Hartford, Taylor Lundy, Kevin Leyton-Brown:
The Perils of Learning Before Optimizing. 3708-3715 - Semih Cayci, Yilin Zheng, Atilla Eryilmaz:
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback. 3716-3723 - Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov:
Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach. 3724-3732 - Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi:
Efficient Riemannian Meta-Optimization by Implicit Differentiation. 3733-3740 - Serge Gaspers, Andrew Kaploun:
Faster Algorithms for Weak Backdoors. 3741-3748 - Ali Ugur Guler, Emir Demirovic, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey:
A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems. 3749-3757 - Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, See Woo Lee, Yota Otachi:
Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study. 3758-3766 - Hao Hu, Marie-José Huguet, Mohamed Siala:
Optimizing Binary Decision Diagrams with MaxSAT for Classification. 3767-3775 - Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, João Marques-Silva:
Using MaxSAT for Efficient Explanations of Tree Ensembles. 3776-3785 - Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina:
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. 3786-3795 - Defeng Liu, Matteo Fischetti, Andrea Lodi:
Learning to Search in Local Branching. 3796-3803 - Oleksii Omelchenko, Andrei A. Bulatov:
Analysis of Pure Literal Elimination Rule for Non-uniform Random (MAX) k-SAT Problem with an Arbitrary Degree Distribution. 3804-3812 - Yanick Ouellet, Claude-Guy Quimper:
The SoftCumulative Constraint with Quadratic Penalty. 3813-3820 - Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu:
Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. 3821-3829 - Pierre Talbot, Frédéric G. Pinel, Pascal Bouvry:
A Variant of Concurrent Constraint Programming on GPU. 3830-3839 - Hao Wang, Xiaohui Bei:
Real-Time Driver-Request Assignment in Ridesourcing. 3840-3849 - Ruiwei Wang, Roland H. C. Yap:
Encoding Multi-Valued Decision Diagram Constraints as Binary Constraint Trees. 3850-3858 - Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong:
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability. 3859-3867 - Honghao Wei, Xin Liu, Lei Ying:
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes. 3868-3876 - Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma:
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. 3877-3884 - Huisi Zhou, Dantong Ouyang, Xiangfu Zhao, Liming Zhang:
Two Compacted Models for Efficient Model-Based Diagnosis. 3885-3893
AAAI Technical Track on Data Mining and Knowledge Management
- Sayan Bandyapadhyay, Zachary Friggstad, Ramin Mousavi:
Parameterized Approximation Algorithms for K-center Clustering and Variants. 3895-3903 - Sayan Bandyapadhyay, Fedor V. Fomin, Petr A. Golovach, William Lochet, Nidhi Purohit, Kirill Simonov:
How to Find a Good Explanation for Clustering? 3904-3912 - Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou:
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. 3913-3921 - Fangdong Chen, Yumeng Xu, Li Wang:
Two-Stage Octave Residual Network for End-to-End Image Compression. 3922-3929 - Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu:
DANets: Deep Abstract Networks for Tabular Data Classification and Regression. 3930-3938 - Xuelu Chen, Ziniu Hu, Yizhou Sun:
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs. 3939-3948 - Lénaïg Cornanguer, Christine Largouët, Laurence Rozé, Alexandre Termier:
TAG: Learning Timed Automata from Logs. 3949-3958 - Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken:
Differentially Describing Groups of Graphs. 3959-3967 - Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen:
Molecular Contrastive Learning with Chemical Element Knowledge Graph. 3968-3976 - Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo:
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers. 3977-3985 - Jie Gao, Ruobin Gong, Fang-Yi Yu:
Subspace Differential Privacy. 3986-3995 - Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang:
Orthogonal Graph Neural Networks. 3996-4004 - Vinayak Gupta, Srikanta Bedathur, Abir De:
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences. 4005-4013 - Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang:
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. 4014-4021 - Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng:
Block Modeling-Guided Graph Convolutional Neural Networks. 4022-4029 - Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu:
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. 4030-4038 - Jongwon Jeong, Jeong Choi, Hyunsouk Cho, Sehee Chung:
FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation. 4039-4047 - Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang:
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. 4048-4056 - Janis Kalofolias, Jilles Vreeken:
Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information. 4057-4064 - Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee:
Meta-Learning for Online Update of Recommender Systems. 4065-4074 - Aritra Konar, Nicholas D. Sidiropoulos:
The Triangle-Densest-K-Subgraph Problem: Hardness, Lovász Extension, and Application to Document Summarization. 4075-4082 - Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. 4083-4091 - Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian:
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. 4092-4100 - Boyang Liu, Pang-Ning Tan, Jiayu Zhou:
Unsupervised Anomaly Detection by Robust Density Estimation. 4101-4108 - Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng:
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. 4109-4119 - Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. 4120-4127 - Lorenzo Perini, Vincent Vercruyssen, Jesse Davis:
Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity. 4128-4136 - Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel:
Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias. 4137-4145 - Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu:
A Self-Supervised Mixed-Curvature Graph Neural Network. 4146-4155 - Ling Sun, Yuan Rao, Xiangbo Zhang, Yuqian Lan, Shuanghe Yu:
MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction. 4156-4164 - Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. 4165-4174 - Christopher Tran, Elena Zheleva:
Heterogeneous Peer Effects in the Linear Threshold Model. 4175-4183 - Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha:
Exploring Relational Semantics for Inductive Knowledge Graph Completion. 4184-4192 - Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi:
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting. 4193-4200 - Chunpai Wang, Daniel B. Neill, Feng Chen:
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs. 4201-4209 - Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang:
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. 4210-4218 - Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng:
ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton. 4219-4227 - Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. 4228-4236 - Boris Wiegand, Dietrich Klakow, Jilles Vreeken:
Discovering Interpretable Data-to-Sequence Generators. 4237-4244 - Tyler Wilson, Pang-Ning Tan, Lifeng Luo:
DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events. 4245-4253 - Donglei Wu, Xiangyu Zou, Shuyu Zhang, Haoyu Jin, Wen Xia, Binxing Fang:
SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures. 4254-4262 - Xiao-Ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen, Xin-Shun Xu:
Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data. 4263-4271 - Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau:
CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing. 4272-4280 - Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou:
Ensemble Semi-supervised Entity Alignment via Cycle-Teaching. 4281-4289 - Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun:
Unsupervised Adversarially Robust Representation Learning on Graphs. 4290-4298 - Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang:
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs. 4299-4307 - Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Shuchao Li, Qing Liu, Nayu Liu, Shensi Wang:
PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space. 4308-4317 - Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen:
Cross-Task Knowledge Distillation in Multi-Task Recommendation. 4318-4326 - Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao:
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing. 4327-4336 - Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang:
Multi-Scale Distillation from Multiple Graph Neural Networks. 4337-4344 - Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. 4345-4353 - Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen:
Anisotropic Additive Quantization for Fast Inner Product Search. 4354-4362 - Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. 4363-4370 - Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding, Jianrong Tao, Changjie Fan:
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach. 4371-4378 - Sen Zhao, Wei Wei, Ding Zou, Xianling Mao:
Multi-View Intent Disentangle Graph Networks for Bundle Recommendation. 4379-4387 - Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang:
Multi-Type Urban Crime Prediction. 4388-4396 - Haoren Zhu, Shih-Yang Liu, Pengfei Zhao, Yingying Chen, Dik Lun Lee:
Forecasting Asset Dependencies to Reduce Portfolio Risk. 4397-4404 - Jun Zhuang, Mohammad Al Hasan:
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision. 4405-4413
AAAI Technical Track on Domain(s) Of Application
- Ibrahim Abdelaziz, Julian Dolby, Jamie P. McCusker, Kavitha Srinivas:
Can Machines Read Coding Manuals Yet? - A Benchmark for Building Better Language Models for Code Understanding. 4415-4423 - Suyeong An, Junghoon Kim, Minsam Kim, Juneyoung Park:
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment. 4424-4431 - Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu:
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation. 4432-4440 - Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data. 4441-4449 - Joseph Clements, Yingjie Lao:
DeepHardMark: Towards Watermarking Neural Network Hardware. 4450-4458 - Yinglin Duan, Yue Lin, Zhengxia Zou, Yi Yuan, Zhehui Qian, Bohan Zhang:
A Unified Framework for Real Time Motion Completion. 4459-4467 - Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li:
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns. 4468-4476 - Ammarah Farooq, Muhammad Awais, Josef Kittler, Syed Safwan Khalid:
AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification. 4477-4485 - Qingdong He, Hao Zeng, Yi Zeng, Yijun Liu:
SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds. 4486-4494 - Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee:
Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration. 4495-4503 - Rakhoon Hwang, Jae Yong Lee, Jinyoung Shin, Hyung Ju Hwang:
Solving PDE-Constrained Control Problems Using Operator Learning. 4504-4512 - Diana Kim, Ahmed Elgammal, Marian Mazzone:
Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models. 4513-4522 - Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill:
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. 4523-4531 - Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng:
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. 4532-4540 - Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong:
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. 4541-4549 - Enming Liang, Zicheng Su, Chilin Fang, Renxin Zhong:
OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control. 4550-4558 - Hanyuan Liu, Chengze Li, Xueting Liu, Tien-Tsin Wong:
End-to-End Line Drawing Vectorization. 4559-4566 - Chang Lu, Tian Han, Yue Ning:
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs. 4567-4574 - Frederik Baymler Mathiesen, Bin Yang, Jilin Hu:
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. 4575-4582 - Kangrui Ruan, Xuan Di:
Learning Human Driving Behaviors with Sequential Causal Imitation Learning. 4583-4592 - Haoran Su, Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty:
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles. 4593-4601 - Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl:
Constrained Prescriptive Trees via Column Generation. 4602-4610 - Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma:
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media. 4611-4619 - Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui:
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation. 4620-4627 - Kunran Xu, Yishi Li, Huawei Zhang, Rui Lai, Lin Gu:
EtinyNet: Extremely Tiny Network for TinyML. 4628-4636 - Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin:
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning. 4637-4645 - Wanqi Xue, Bo An, Chai Kiat Yeo:
NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search. 4646-4653 - Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan:
RID-Noise: Towards Robust Inverse Design under Noisy Environments. 4654-4661 - Tianyun Yang, Ziyao Huang, Juan Cao, Lei Li, Xirong Li:
Deepfake Network Architecture Attribution. 4662-4670 - Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li:
ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. 4671-4679 - Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin, Yu Zheng:
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning. 4680-4688 - Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing:
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning. 4689-4697 - Guoliang Zhao, Yuxun Zhou, Zhanbo Xu, Yadong Zhou, Jiang Wu:
Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction. 4698-4706 - Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin:
6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing. 4707-4715 - Peining Zhen, Ziyang Gao, Tianshu Hou, Yuan Cheng, Hai-Bao Chen:
Deeply Tensor Compressed Transformers for End-to-End Object Detection. 4716-4724 - Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong:
Dynamic Manifold Learning for Land Deformation Forecasting. 4725-4733 - Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma:
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. 4734-4742
AAAI Technical Track on Game Theory and Economic Paradigms
- Rediet Abebe, Adam Eck, Christian Ikeokwu, Sam Taggart:
An Algorithmic Introduction to Savings Circles. 4744-4751 - Pankaj K. Agarwal, Shao-Heng Ko, Kamesh Munagala, Erin Taylor:
Locally Fair Partitioning. 4752-4759 - Hannaneh Akrami, Bhaskar Ray Chaudhury, Martin Hoefer, Kurt Mehlhorn, Marco Schmalhofer, Golnoosh Shahkarami, Giovanna Varricchio, Quentin Vermande, Ernest van Wijland:
Maximizing Nash Social Welfare in 2-Value Instances. 4760-4767 - Tahar Allouche, Jérôme Lang, Florian Yger:
Truth-Tracking via Approval Voting: Size Matters. 4768-4775 - Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos:
Dimensionality and Coordination in Voting: The Distortion of STV. 4776-4784 - Tal Arbiv, Yonatan Aumann:
Fair and Truthful Giveaway Lotteries. 4785-4792 - Siddharth Barman, Arindam Khan, Arnab Maiti:
Universal and Tight Online Algorithms for Generalized-Mean Welfare. 4793-4800 - Siddharth Barman, Paritosh Verma:
Truthful and Fair Mechanisms for Matroid-Rank Valuations. 4801-4808 - Xiaohui Bei, Xinhang Lu, Warut Suksompong:
Truthful Cake Sharing. 4809-4817 - Xiaohui Bei, Shengyu Zhang:
The Secretary Problem with Competing Employers on Random Edge Arrivals. 4818-4825 - Ben Berger, Avi Cohen, Michal Feldman, Amos Fiat:
Almost Full EFX Exists for Four Agents. 4826-4833 - Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh:
Sequential Blocked Matching. 4834-4842 - Niclas Boehmer, Robert Bredereck, André Nichterlein:
Combating Collusion Rings Is Hard but Possible. 4843-4850 - Niclas Boehmer, Klaus Heeger, Rolf Niedermeier:
Theory of and Experiments on Minimally Invasive Stability Preservation in Changing Two-Sided Matching Markets. 4851-4858 - Arthur Boixel, Ulle Endriss, Ronald de Haan:
A Calculus for Computing Structured Justifications for Election Outcomes. 4859-4866 - Felix Brandt, Martin Bullinger, Leo Tappe:
Single-Agent Dynamics in Additively Separable Hedonic Games. 4867-4874 - Robert Bredereck, Andrzej Kaczmarczyk, Junjie Luo, Rolf Niedermeier, Florian Sachse:
On Improving Resource Allocations by Sharing. 4875-4883 - Markus Brill, Théo Delemazure, Anne-Marie George, Martin Lackner, Ulrike Schmidt-Kraepelin:
Liquid Democracy with Ranked Delegations. 4884-4891 - Markus Brill, Jonas Israel, Evi Micha, Jannik Peters:
Individual Representation in Approval-Based Committee Voting. 4892-4899 - Ioannis Caragiannis, Nisarg Shah, Alexandros A. Voudouris:
The Metric Distortion of Multiwinner Voting. 4900-4907 - Ioannis Caragiannis, Evi Micha, Nisarg Shah:
A Little Charity Guarantees Fair Connected Graph Partitioning. 4908-4916 - Ioannis Caragiannis, George Christodoulou, Nicos Protopapas:
Truthful Aggregation of Budget Proposals with Proportionality Guarantees. 4917-4924 - Ioannis Caragiannis, Karl Fehrs:
The Complexity of Learning Approval-Based Multiwinner Voting Rules. 4925-4932 - Matteo Castiglioni, Diodato Ferraioli, Nicola Gatti, Alberto Marchesi, Giulia Romano:
Efficiency of Ad Auctions with Price Displaying. 4933-4940 - Matteo Castiglioni, Giulia Romano, Alberto Marchesi, Nicola Gatti:
Signaling in Posted Price Auctions. 4941-4948 - Mithun Chakraborty, Erel Segal-Halevi, Warut Suksompong:
Weighted Fairness Notions for Indivisible Items Revisited. 4949-4956 - Argyrios Deligkas, John Fearnley, Themistoklis Melissourgos:
Pizza Sharing Is PPA-Hard. 4957-4965 - Argyrios Deligkas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
Heterogeneous Facility Location with Limited Resources. 4966-4974 - Edith Elkind, Abheek Ghosh, Paul Goldberg:
Complexity of Deliberative Coalition Formation. 4975-4982 - Edith Elkind, Piotr Faliszewski, Ayumi Igarashi, Pasin Manurangsi, Ulrike Schmidt-Kraepelin, Warut Suksompong:
The Price of Justified Representation. 4983-4990 - Piotr Faliszewski, Krzysztof Sornat, Stanislaw Szufa:
The Complexity of Subelection Isomorphism Problems. 4991-4998 - Gabriele Farina, Tuomas Sandholm:
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games. 4999-5007 - Michal Feldman, Galia Shabtai, Aner Wolfenfeld:
Two-Price Equilibrium. 5008-5015 - Kaito Fujii, Shinsaku Sakaue:
Algorithmic Bayesian Persuasion with Combinatorial Actions. 5016-5024 - Jiarui Gan, Rupak Majumdar, Goran Radanovic, Adish Singla:
Bayesian Persuasion in Sequential Decision-Making. 5025-5033 - Robert Ganian, Thekla Hamm, Dusan Knop, Simon Schierreich, Ondrej Suchý:
Hedonic Diversity Games: A Complexity Picture with More than Two Colors. 5034-5042 - Jugal Garg, Aniket Murhekar, John Qin:
Fair and Efficient Allocations of Chores under Bivalued Preferences. 5043-5050 - Mohak Goyal:
Secretary Matching with Vertex Arrivals and No Rejections. 5051-5058 - Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl:
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment. 5059-5067 - Tobias Harks, Mona Henle, Max Klimm, Jannik Matuschke, Anja Schedel:
Multi-Leader Congestion Games with an Adversary. 5068-5075 - Aviram Imber, Jonas Israel, Markus Brill, Benny Kimelfeld:
Approval-Based Committee Voting under Incomplete Information. 5076-5083 - Takehiro Ito, Yuni Iwamasa, Naonori Kakimura, Naoyuki Kamiyama, Yusuke Kobayashi, Yuta Nozaki, Yoshio Okamoto, Kenta Ozeki:
Reforming an Envy-Free Matching. 5084-5091 - Lukasz Janeczko, Piotr Faliszewski:
The Complexity of Proportionality Degree in Committee Elections. 5092-5099 - Anson Kahng, Gregory Kehne:
Worst-Case Voting When the Stakes Are High. 5100-5107 - Natalia Kucharczuk, Tomasz Was, Oskar Skibski:
PageRank for Edges: Axiomatic Characterization. 5108-5115 - Chun Kai Ling, Fei Fang:
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. 5116-5123 - Ao Liu, Lirong Xia:
The Semi-random Likelihood of Doctrinal Paradoxes. 5124-5132 - Shang Lu, Shuji Kijima:
Is There a Strongest Die in a Set of Dice with the Same Mean Pips? 5133-5140 - Tien Mai, Arunesh Sinha:
Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models. 5141-5149 - Eric Neyman, Tim Roughgarden:
Strictly Proper Contract Functions Can Be Arbitrage-Free. 5150-5155 - Bonan Ni, Pingzhong Tang:
Characterization of Incentive Compatibility of an Ex-ante Constrained Player. 5156-5163 - Jannik Peters:
Online Elicitation of Necessarily Optimal Matchings. 5164-5172 - Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. 5173-5182 - Masoud Seddighin, Saeed Seddighin:
Improved Maximin Guarantees for Subadditive and Fractionally Subadditive Fair Allocation Problem. 5183-5190 - Piotr Skowron, Adrian Górecki:
Proportional Public Decisions. 5191-5198 - Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Online Task Assignment Problems with Reusable Resources. 5199-5207 - Fabricio Vasselai:
Iterative Calculus of Voting under Plurality. 5208-5218 - Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe:
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games. 5219-5227 - Mingyu Xiao, Yuchao Song, Bakh Khoussainov:
Multi-Unit Auction in Social Networks with Budgets. 5228-5235 - Haifeng Xu, Ruggiero Cavallo:
The Strange Role of Information Asymmetry in Auctions - Does More Accurate Value Estimation Benefit a Bidder? 5236-5243 - Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing:
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. 5244-5251 - Brian Hu Zhang, Tuomas Sandholm:
Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions. 5252-5259 - Hanrui Zhang, Yu Cheng, Vincent Conitzer:
Planning with Participation Constraints. 5260-5267
AAAI Technical Track on Humans and AI
- Yotam Amitai, Ofra Amir:
"I Don't Think So": Summarizing Policy Disagreements for Agent Comparison. 5269-5276 - Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig:
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations. 5277-5285 - Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham:
Role of Human-AI Interaction in Selective Prediction. 5286-5294 - Pablo Antonio Moreno Casares, Bao Sheng Loe, John Burden, Seán Ó hÉigeartaigh, José Hernández-Orallo:
How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild. 5295-5303 - Pengpeng Chen, Hailong Sun, Yongqiang Yang, Zhijun Chen:
Adversarial Learning from Crowds. 5304-5312 - Ana Lucic, Harrie Oosterhuis, Hinda Haned, Maarten de Rijke:
FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles. 5313-5322 - Hussein Mozannar, Arvind Satyanarayan, David A. Sontag:
Teaching Humans When to Defer to a Classifier via Exemplars. 5323-5331 - Yagiz Savas, Christos K. Verginis, Ufuk Topcu:
Deceptive Decision-Making under Uncertainty. 5332-5340 - Weihao Tan, David Koleczek, Siddhant Pradhan, Nicholas Perello, Vivek Chettiar, Vishal Rohra, Aaslesha Rajaram, Soundararajan Srinivasan, H. M. Sajjad Hossain, Yash Chandak:
On Optimizing Interventions in Shared Autonomy. 5341-5349 - Zhenhailong Wang, Heng Ji:
Open Vocabulary Electroencephalography-to-Text Decoding and Zero-Shot Sentiment Classification. 5350-5358 - Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei:
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training. 5359-5366 - Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework. 5367-5375
AAAI Technical Track on Intelligent Robotics
- Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Discovering State and Action Abstractions for Generalized Task and Motion Planning. 5377-5384 - Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin:
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems. 5385-5394 - Xu Liu, Decai Li, Yuqing He:
Random Mapping Method for Large-Scale Terrain Modeling. 5395-5403 - Yecheng Jason Ma, Andrew Shen, Osbert Bastani, Dinesh Jayaraman:
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning. 5404-5412 - Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang:
CTIN: Robust Contextual Transformer Network for Inertial Navigation. 5413-5421 - Tianqi Tang, Heming Du, Xin Yu, Yi Yang:
Monocular Camera-Based Point-Goal Navigation by Learning Depth Channel and Cross-Modality Pyramid Fusion. 5422-5430 - Peng Zhai, Jie Luo, Zhiyan Dong, Lihua Zhang, Shunli Wang, Dingkang Yang:
Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint. 5431-5439 - Chengliang Zhong, Chao Yang, Fuchun Sun, Jinshan Qi, Xiaodong Mu, Huaping Liu, Wenbing Huang:
Sim2Real Object-Centric Keypoint Detection and Description. 5440-5449
AAAI Technical Track on Knowledge Representation and Reasoning
- Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
Incomplete Argumentation Frameworks: Properties and Complexity. 5451-5460 - Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Trading Complexity for Sparsity in Random Forest Explanations. 5461-5469 - Bita Banihashemi, Shakil M. Khan, Mikhail Soutchanski:
From Actions to Programs as Abstract Actual Causes. 5470-5478 - Ringo Baumann, Anna Rapberger, Markus Ulbricht:
Equivalence in Argumentation Frameworks with a Claim-Centric View - Classical Results with Novel Ingredients. 5479-5486 - Bartosz Bednarczyk, Emanuel Kieronski:
Finite Entailment of Local Queries in the Z Family of Description Logics. 5487-5494 - Bartosz Bednarczyk, Sebastian Rudolph:
The Price of Selfishness: Conjunctive Query Entailment for ALCSelf Is 2EXPTIME-Hard. 5495-5502 - Stefan Borgwardt, Jörg Hoffmann, Alisa Kovtunova, Markus Krötzsch, Bernhard Nebel, Marcel Steinmetz:
Expressivity of Planning with Horn Description Logic Ontologies. 5503-5511 - Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang:
ER: Equivariance Regularizer for Knowledge Graph Completion. 5512-5520 - Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Geometry Interaction Knowledge Graph Embeddings. 5521-5529 - Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang:
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. 5530-5538 - Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi:
ASP-Based Declarative Process Mining. 5539-5547 - Hana Chockler, Joseph Y. Halpern:
On Testing for Discrimination Using Causal Models. 5548-5555 - Gianluca Cima, Marco Console, Maurizio Lenzerini, Antonella Poggi:
Monotone Abstractions in Ontology-Based Data Management. 5556-5563 - Alexis de Colnet, Stefan Mengel:
Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation. 5564-5572 - Dennis Craandijk, Floris Bex:
Enforcement Heuristics for Argumentation with Deep Reinforcement Learning. 5573-5581 - Adnan Darwiche, Chunxi Ji:
On the Computation of Necessary and Sufficient Explanations. 5582-5591 - Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. 5592-5599 - Andrei Draghici, Georg Gottlob, Matthias Lanzinger:
On the Complexity of Inductively Learning Guarded Clauses. 5600-5607 - Wolfgang Dvorák, Markus Hecher, Matthias König, André Schidler, Stefan Szeider, Stefan Woltran:
Tractable Abstract Argumentation via Backdoor-Treewidth. 5608-5615 - Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, Daria Stepanova:
Large-Neighbourhood Search for Optimisation in Answer-Set Solving. 5616-5625 - Stefan Ellmauthaler, Markus Krötzsch, Stephan Mennicke:
Answering Queries with Negation over Existential Rules. 5626-5633 - Jorge Fandinno, Zachary Hansen, Yuliya Lierler:
Axiomatization of Aggregates in Answer Set Programming. 5634-5641 - Paolo Felli, Marco Montali, Sarah Winkler:
Linear-Time Verification of Data-Aware Dynamic Systems with Arithmetic. 5642-5650 - Johannes Klaus Fichte, Sarah Alice Gaggl, Dominik Rusovac:
Rushing and Strolling among Answer Sets - Navigation Made Easy. 5651-5659 - Niku Gorji, Sasha Rubin:
Sufficient Reasons for Classifier Decisions in the Presence of Domain Constraints. 5660-5667 - Joseph Y. Halpern, Spencer Peters:
Reasoning about Causal Models with Infinitely Many Variables. 5668-5675 - Adrian Haret, Johannes Peter Wallner:
An Axiomatic Approach to Revising Preferences. 5676-5683 - Yuan He, Jiaoyan Chen, Denvar Antonyrajah, Ian Horrocks:
BERTMap: A BERT-Based Ontology Alignment System. 5684-5691 - Jesse Heyninck, Matthias Thimm, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba:
Conditional Abstract Dialectical Frameworks. 5692-5699 - Nick Hoernle, Rafael-Michael Karampatsis, Vaishak Belle, Kobi Gal:
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks. 5700-5709 - Hua Hua, Dongxu Li, Ruiqi Li, Peng Zhang, Jochen Renz, Anthony G. Cohn:
Towards Explainable Action Recognition by Salient Qualitative Spatial Object Relation Chains. 5710-5718 - Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva:
Tractable Explanations for d-DNNF Classifiers. 5719-5728 - Anthony Hunter:
Understanding Enthymemes in Deductive Argumentation Using Semantic Distance Measures. 5729-5736 - Alihan Hüyük, William R. Zame, Mihaela van der Schaar:
Inferring Lexicographically-Ordered Rewards from Preferences. 5737-5745 - Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. 5746-5754 - Mohimenul Kabir, Flavio O. Everardo, Ankit K. Shukla, Markus Hecher, Johannes Klaus Fichte, Kuldeep S. Meel:
ApproxASP - a Scalable Approximate Answer Set Counter. 5755-5764 - Ang Li, Judea Pearl:
Unit Selection with Causal Diagram. 5765-5772 - Ang Li, Judea Pearl:
Bounds on Causal Effects and Application to High Dimensional Data. 5773-5780 - Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li:
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. 5781-5791 - Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu:
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. 5792-5799 - Kailun Luo, Yongmei Liu:
Automated Synthesis of Generalized Invariant Strategies via Counterexample-Guided Strategy Refinement. 5800-5808 - Matthew James Lynn, James P. Delgrande, Pavlos Peppas:
Using Conditional Independence for Belief Revision. 5809-5816 - Sagar Malhotra, Luciano Serafini:
Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula. 5817-5824 - Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis:
TempoQR: Temporal Question Reasoning over Knowledge Graphs. 5825-5833 - Giuseppe Mazzotta, Francesco Ricca, Carmine Dodaro:
Compilation of Aggregates in ASP Systems. 5834-5841 - Pavel Naumov, Wenxuan Zhang:
Prevailing in the Dark: Information Walls in Strategic Games. 5842-5850 - Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Qian Dong:
Knowledge Compilation Meets Logical Separability. 5851-5860 - Masood Feyzbakhsh Rankooh, Jussi Rintanen:
Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination. 5861-5868 - Patrick Rodler:
Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis. 5869-5878 - Nicolas Schwind, Sébastien Konieczny, Ramón Pino Pérez:
On Paraconsistent Belief Revision in LP. 5879-5887