Papers
End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection
Congcong Li, Xinyao Wang, Longyin Wen et al.
End-to-End Generative Pretraining for Multimodal Video Captioning
Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab et al.
End-to-End Human-Gaze-Target Detection With Transformers
Danyang Tu, Xiongkuo Min, Huiyu Duan et al.
End-to-End Multi-Person Pose Estimation With Transformers
Dahu Shi, Xing Wei, Liangqi Li et al.
End-to-End Reconstruction-Classification Learning for Face Forgery Detection
Junyi Cao, Chao Ma, Taiping Yao et al.
End-to-End Referring Video Object Segmentation With Multimodal Transformers
Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin
End-to-End Semi-Supervised Learning for Video Action Detection
Akash Kumar, Yogesh Singh Rawat
End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps
Ke Guo, Wenxi Liu, Jia Pan
Energy-Based Latent Aligner for Incremental Learning
K J Joseph, Salman Khan, Fahad Shahbaz Khan et al.
Enhancing Adversarial Robustness for Deep Metric Learning
Mo Zhou, Vishal M. Patel
Enhancing Adversarial Training With Second-Order Statistics of Weights
Gaojie Jin, Xinping Yi, Wei Huang et al.
Enhancing Classifier Conservativeness and Robustness by Polynomiality
Ziqi Wang, Marco Loog
Enhancing Face Recognition With Self-Supervised 3D Reconstruction
Mingjie He, Jie Zhang, Shiguang Shan et al.
Ensembling Off-the-Shelf Models for GAN Training
Nupur Kumari, Richard Zhang, Eli Shechtman et al.
Entropy-Based Active Learning for Object Detection With Progressive Diversity Constraint
Jiaxi Wu, Jiaxin Chen, Di Huang
EnvEdit: Environment Editing for Vision-and-Language Navigation
Jialu Li, Hao Tan, Mohit Bansal
Episodic Memory Question Answering
Samyak Datta, Sameer Dharur, Vincent Cartillier et al.
EPro-PnP: Generalized End-to-End Probabilistic Perspective-N-Points for Monocular Object Pose Estimation
Hansheng Chen, Pichao Wang, Fan Wang et al.
Equalized Focal Loss for Dense Long-Tailed Object Detection
Bo Li, Yongqiang Yao, Jingru Tan et al.
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets
Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi et al.
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
Shitong Luo, Jiahan Li, Jiaqi Guan et al.
ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework
Ningkai Mo, Wanshui Gan, Naoto Yokoya et al.
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination
Yiqun Mei, Pengfei Guo, Vishal M. Patel
ESCNet: Gaze Target Detection With the Understanding of 3D Scenes
Jun Bao, Buyu Liu, Jun Yu
Estimating Egocentric 3D Human Pose in the Wild With External Weak Supervision
Jian Wang, Lingjie Liu, Weipeng Xu et al.