Papers
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.
Estimating Example Difficulty Using Variance of Gradients
Chirag Agarwal, Daniel D'souza, Sara Hooker
Estimating Fine-Grained Noise Model via Contrastive Learning
Yunhao Zou, Ying Fu
Estimating Structural Disparities for Face Models
Shervin Ardeshir, Cristina Segalin, Nathan Kallus
ETHSeg: An Amodel Instance Segmentation Network and a Real-World Dataset for X-Ray Waste Inspection
Lingteng Qiu, Zhangyang Xiong, Xuhao Wang et al.
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization
Damien Teney, Ehsan Abbasnejad, Simon Lucey et al.
Evaluation-Oriented Knowledge Distillation for Deep Face Recognition
Yuge Huang, Jiaxiang Wu, Xingkun Xu et al.
Event-Aided Direct Sparse Odometry
Javier Hidalgo-Carrió, Guillermo Gallego, Davide Scaramuzza
Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network
Lin Zhu, Xiao Wang, Yi Chang et al.