Paper Papers

Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis

Yang Zou, Xingyuan Li, Zhiying Jiang et al.

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain

Xuanhua He, Tao Hu, Guoli Wang et al.

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning

Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling

Jiujun He, Bin Liu, Guosheng Yin

Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling

Vittorio Bilò, Cosimo Vinci

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms

Jianhao Ding, Zhaofei Yu, Tiejun Huang et al.

Enhancing Training of Spiking Neural Network with Stochastic Latency

Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic et al.

Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations

Yejin Jeon, Yunsu Kim, Gary Geunbae Lee

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization

Kai Wang, Haoyu Liu, Zhipeng Hu et al.

Entropic Open-Set Active Learning

Bardia Safaei, Vibashan VS, Celso de Melo et al.

Entropy Induced Pruning Framework for Convolutional Neural Networks

Yiheng Lu, Ziyu Guan, Yaming Yang et al.

Envy-Free House Allocation under Uncertain Preferences

Haris Aziz, Isaiah Iliffe, Bo Li et al.

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward

Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression

Dong Chen, Ning Liu, Yichen Zhu et al.

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

Jiwoo Son, Minsu Kim, Sanghyeok Choi et al.

ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation

Qiuzhen Lin, Yangfan Chen, Lijia Ma et al.

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation

Chenglong Wang, Hang Zhou, Yimin Hu et al.

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation

Libo Huang, Yan Zeng, Chuanguang Yang et al.

EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer

Fei Wang, Dan Guo, Kun Li et al.

Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior

Qihang Fang, Yafei Song, Keqiang Li et al.

EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE

Junyi Chen, Longteng Guo, Jia Sun et al.

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering

Pengfei Zhu, Qian Wang, Yu Wang et al.

Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis

Zhaoxin Fan, Longbin Ji, Pengxin Xu et al.

Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images

Ruohua Shi, Lingyu Duan, Tiejun Huang et al.

Evolving Parameterized Prompt Memory for Continual Learning

Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma et al.

Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology

Foivos Fioravantes, Dušan Knop, Jan Křišťan et al.

Exact ASP Counting with Compact Encodings

Mohimenul Kabir, Supratik Chakraborty, Kuldeep S Meel

Exact Inference for Continuous-Time Gaussian Process Dynamics

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche et al.

Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption

Yiding Chen, Xuezhou Zhang, Qiaomin Xie et al.

Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration

Zhihao Wang, Yulin Zhou, Ningyu Zhang et al.

Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization

Jiyoung Kim, Kyuhong Shim, Insu Lee et al.

ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment

Yicheng Zhong, Huawei Wei, Peiji Yang et al.

Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders

Bumsoo Kim, Jinhyung Kim, Yeonsik Jo et al.

ExpeL: LLM Agents Are Experiential Learners

Andrew Zhao, Daniel Huang, Quentin Xu et al.

Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder

Qiang Zhou, Xinjiang Lu, Jingjing Gu et al.

Explaining Generalization Power of a DNN Using Interactive Concepts

Huilin Zhou, Hao Zhang, Huiqi Deng et al.

Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes

Yotam Amitai, Yael Friedler, Ofra Amir

Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack

Daizong Liu, Wei Hu

Explicit Visual Prompts for Visual Object Tracking

Liangtao Shi, Bineng Zhong, Qihua Liang et al.

Exploiting Auxiliary Caption for Video Grounding

Hongxiang Li, Meng Cao, Xuxin Cheng et al.

Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection

Xiaoyuan Guan, Jiankang Chen, Shenshen Bu et al.

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport

Yuguang Yan, Zeqin Yang, Weilin Chen et al.

Exploiting Label Skews in Federated Learning with Model Concatenation

Yiqun Diao, Qinbin Li, Bingsheng He

Exploiting Polarized Material Cues for Robust Car Detection

Wen Dong, Haiyang Mei, Ziqi Wei et al.

Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training

Xi Chen, Chang Gao, Zuowen Wang et al.

Exploiting the Social-Like Prior in Transformer for Visual Reasoning

Yudong Han, Yupeng Hu, Xuemeng Song et al.

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations

Zilin Wang, Haolin Zhuang, Lu Li et al.

Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection

Wenwen Zhang, Yun Hu, Hangguan Shan et al.

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection

Rundong He, Yue Yuan, Zhongyi Han et al.

Exploring Diverse Representations for Open Set Recognition

Yu Wang, Junxian Mu, Pengfei Zhu et al.