Papers
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.
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
Wenyan Cong, Hanxue Liang, Peihao Wang et al.
Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms
Yanhua Yu, Siyuan Shen, Zi Wang et al.
Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation
Guangnian Wan, Haitao Du, Xuejing Yuan et al.
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
Guan Gui, Zhen Zhao, Lei Qi et al.
ENTL: Embodied Navigation Trajectory Learner
Klemen Kotar, Aaron Walsman, Roozbeh Mottaghi
ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting
Ruofan Liang, Huiting Chen, Chunlin Li et al.
Environment Agnostic Representation for Visual Reinforcement Learning
Hyesong Choi, Hunsang Lee, Seongwon Jeong et al.
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation
Yukuan Min, Aming Wu, Cheng Deng