Papers
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
EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization
Minjung Kim, Junseo Koo, Gunhee Kim
eP-ALM: Efficient Perceptual Augmentation of Language Models
Mustafa Shukor, Corentin Dancette, Matthieu Cord
EPiC: Ensemble of Partial Point Clouds for Robust Classification
Meir Yossef Levi, Guy Gilboa
EQ-Net: Elastic Quantization Neural Networks
Ke Xu, Lei Han, Ye Tian et al.
Equivariant Similarity for Vision-Language Foundation Models
Tan Wang, Kevin Lin, Linjie Li et al.
Erasing Concepts from Diffusion Models
Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman et al.
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution
Mingjin Zhang, Chi Zhang, Qiming Zhang et al.
Essential Matrix Estimation using Convex Relaxations in Orthogonal Space
Arman Karimian, Roberto Tron
ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer
Mingxin Huang, Jiaxin Zhang, Dezhi Peng et al.
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training
Xiao-Ming Wu, Dian Zheng, Zuhao Liu et al.
ETran: Energy-Based Transferability Estimation
Mohsen Gholami, Mohammad Akbari, Xinglu Wang et al.
Eulerian Single-Photon Vision
Shantanu Gupta, Mohit Gupta
Evaluating Data Attribution for Text-to-Image Models
Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu et al.
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks
Qihan Huang, Mengqi Xue, Wenqi Huang et al.
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning
Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy
Event Camera Data Pre-training
Yan Yang, Liyuan Pan, Liu Liu
Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers
Matthew Dutson, Yin Li, Mohit Gupta