Papers
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone
Shraman Pramanick, Yale Song, Sayan Nag et al.
EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
Gabriele Berton, Gabriele Trivigno, Barbara Caputo et al.
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting
Inhwan Bae, Jean Oh, Hae-Gon Jeon
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
Chen Tang, Li Lyna Zhang, Huiqiang Jiang et al.
ELFNet: Evidential Local-global Fusion for Stereo Matching
Jieming Lou, Weide Liu, Zhuo Chen et al.
ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation
Yuxiang Wei, Yabo Zhang, Zhilong Ji et al.
EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild
Manuel Kaufmann, Jie Song, Chen Guo et al.
EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation
Shuai Tan, Bin Ji, Ye Pan
EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes
Jingyuan Yang, Qirui Huang, Tingting Ding et al.
EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation
Ziqiao Peng, Haoyu Wu, Zhenbo Song et al.
Emotional Listener Portrait: Neural Listener Head Generation with Emotion
Luchuan Song, Guojun Yin, Zhenchao Jin et al.
Empowering Low-Light Image Enhancer through Customized Learnable Priors
Naishan Zheng, Man Zhou, Yanmeng Dong et al.
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization
Peijie Dong, Lujun Li, Zimian Wei et al.
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity
Zijie Jiang, Masatoshi Okutomi
Encyclopedic VQA: Visual Questions About Detailed Properties of Fine-Grained Categories
Thomas Mensink, Jasper Uijlings, Lluis Castrejon et al.
End2End Multi-View Feature Matching with Differentiable Pose Optimization
Barbara Roessle, Matthias Nießner
End-to-end 3D Tracking with Decoupled Queries
Yanwei Li, Zhiding Yu, Jonah Philion et al.
End-to-End Diffusion Latent Optimization Improves Classifier Guidance
Bram Wallace, Akash Gokul, Stefano Ermon et al.
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation
Samitha Herath, Basura Fernando, Ehsan Abbasnejad et al.
Enhanced Meta Label Correction for Coping with Label Corruption
Mitchell Keren Taraday, Chaim Baskin
Enhanced Soft Label for Semi-Supervised Semantic Segmentation
Jie Ma, Chuan Wang, Yang Liu et al.
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation
Dongyoon Yang, Insung Kong, Yongdai Kim
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization
Mingli Zhu, Shaokui Wei, Li Shen et al.
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
Xuannan Liu, Yaoyao Zhong, Yuhang Zhang et al.
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
Aishik Konwer, Xiaoling Hu, Joseph Bae et al.