Poster Papers
24,624 papers found • Page 91 of 493
Conference
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data
Haoxin Li, Boyang Li
Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding
Yixiong Fang, Ziran Yang, Zhaorun Chen et al.
Enhancing Vision-Language Model with Unmasked Token Alignment
Hongsheng Li, Jihao Liu, Boxiao Liu et al.
Enhancing Visual Localization with Cross-Domain Image Generation
Yuanze Wang, Yichao Yan, Shiming Song et al.
Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation
Shohei Enomoto
Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation
Muqi Han, Xiaobin Li, Kai Wu et al.
Enhancing Zero-shot Object Counting via Text-guided Local Ranking and Number-evoked Global Attention
Shiwei Zhang, Qi Zhou, Wei Ke
Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures
Yiming Chen, Yuan Zhang, Liyuan Cao et al.
EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities
Talor Abramovich, Meet Udeshi, Minghao Shao et al.
EnliveningGS: Active Locomotion of 3DGS
Siyuan Shen, Tianjia Shao, Kun Zhou et al.
Enpowering Your Pansharpening Models with Generalizability: Unified Distribution is All You Need
Yongchuan Cui, Peng Liu, HUI ZHANG
Ensemble Distribution Distillation via Flow Matching
Jonggeon Park, Giung Nam, Hyunsu Kim et al.
Ensemble Learned Bloom Filters: Two Oracles are Better than One
Ming Lin, Lin CHEN
Ensembles of Low-Rank Expert Adapters
Yinghao Li, Vianne Gao, Chao Zhang et al.
Ensembling Diffusion Models via Adaptive Feature Aggregation
Cong Wang, kuan tian, Yonghang Guan et al.
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
Ben Dai
ENSUR: Equitable and Statistically Unbiased Recommendation
Nitin Bisht, Xiuwen Gong, Guandong Xu
EntityErasure: Erasing Entity Cleanly via Amodal Entity Segmentation and Completion
Yixing Zhu, Qing Zhang, Yitong Wang et al.
EntitySAM: Segment Everything in Video
Mingqiao Ye, Seoung Wug Oh, Lei Ke et al.
Entropic Time Schedulers for Generative Diffusion Models
Dejan Stancevic, Florian Handke, Luca Ambrogioni
Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment
Renye Yan, Jikang Cheng, Yaozhong Gan et al.
Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions
Haoyuan Sun, Zihao Wu, Bo Xia et al.
Entropy-Calibrated Label Distribution Learning
Yunan Lu, Bowen Xue, Xiuyi Jia et al.
EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection
Ming Sun, Rui Wang, Zixuan Zhu et al.
Entropy Rectifying Guidance for Diffusion and Flow Models
Tariq Berrada Ifriqi, Adriana Romero-Soriano, Michal Drozdzal et al.
EnvGS: Modeling View-Dependent Appearance with Environment Gaussian
Tao Xie, Xi Chen, Zhen Xu et al.
Environment-Agnostic Pose: Generating Environment-independent Object Representations for 6D Pose Estimation
Shaobo Zhang, Yuhang Huang, Wanqing Zhao et al.
EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling
Songpengcheng Xia, Yu Zhang, Zhuo Su et al.
EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
Chao Song, ZHIYUAN LIU, Han Huang et al.
EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models
Andy Bonnetto, Haozhe Qi, Franklin Leong et al.
EPIC: Efficient Position-Independent Caching for Serving Large Language Models
JUNHAO HU, Wenrui Huang, Weidong Wang et al.
EpiCoder: Encompassing Diversity and Complexity in Code Generation
Yaoxiang Wang, Haoling Li, Xin Zhang et al.
Epipolar Consistent Attention Aggregation Network for Unsupervised Light Field Disparity Estimation
Chen Gao, Shuo Zhang, Youfang Lin
Epistemic Monte Carlo Tree Search
Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan et al.
Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators
Lucas Berry, David Meger
Epistemic Uncertainty for Generated Image Detection
Jun Nie, Yonggang Zhang, Tongliang Liu et al.
Epona: Autoregressive Diffusion World Model for Autonomous Driving
Kaiwen Zhang, Zhenyu Tang, Xiaotao Hu et al.
Epsilon-VAE: Denoising as Visual Decoding
Long Zhao, Sanghyun Woo, Ziyu Wan et al.
eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels
Alexander DeRieux, Walid Saad
EqNIO: Subequivariant Neural Inertial Odometry
Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang et al.
EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks
Athinoulla Konstantinou, Georgios Leontidis, Mamatha Thota et al.
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
Runyu Lu, Peng Zhang, Ruochuan Shi et al.
Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models
Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Ozlem Garibay
EquiPose: Exploiting Permutation Equivariance for Relative Camera Pose Estimation
Yuzhen Liu, Qiulei Dong
Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection
Shizhen Zhao, Jiahui Liu, Xin Wen et al.
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network
Michael Arbel, David Salinas, Frank Hutter
EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations
Haotian Zhai, Connor Lawless, Ellen Vitercik et al.
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Tobias Schmidt, Steffen Schneider, Matthias Bethge
Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models
Ben Finkelshtein, Ismail Ilkan Ceylan, Michael Bronstein et al.
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
Najwa Laabid, Severi Rissanen, Markus Heinonen et al.