Poster Papers
24,624 papers found • Page 367 of 493
Conference
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
Yang Zhang, Tze Tzun Teoh, Wei Hern Lim et al.
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
Zheng Huang, Qihui Yang, Dawei Zhou et al.
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
xinlu zhang, Shiyang Li, Xianjun Yang et al.
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation
Ilhoon Yoon, Hyeongjun Kwon, Jin Kim et al.
Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models
Zixin Zhang, Fan Qi, Changsheng Xu
Enhancing Sufficient Dimension Reduction via Hellinger Correlation
Seungbeom Hong, Ilmun Kim, Jun Song
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash et al.
Enhancing Tampered Text Detection through Frequency Feature Fusion and Decomposition
Zhongxi Chen, Shen Chen, Taiping Yao et al.
Enhancing the Power of OOD Detection via Sample-Aware Model Selection
Feng Xue, Zi He, Yuan Zhang et al.
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks
Zhewei Wu, Ruilong Yu, Qihe Liu et al.
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
Zhiyu Zhu, Xinyi Wang, Zhibo Jin et al.
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee, Giung Nam, Edwin Fong et al.
Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning
Yun-Hsuan Lien, Ping-Chun Hsieh, Tzu-Mao Li et al.
Enhancing Vectorized Map Perception with Historical Rasterized Maps
Xiaoyu Zhang, Guangwei Liu, Zihao Liu et al.
Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module
Yixing Xu, Chao Li, Dong Li et al.
Enhancing Visual Continual Learning with Language-Guided Supervision
Bolin Ni, Hongbo Zhao, Chenghao Zhang et al.
Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models
Xin Li, Yunfei Wu, Xinghua Jiang et al.
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets
Qin Lei, Jiang Zhong, Qizhu Dai
Ensemble Distillation for Unsupervised Constituency Parsing
Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu et al.
Ensemble Diversity Facilitates Adversarial Transferability
Bowen Tang, Zheng Wang, Yi Bin et al.
Ensemble Pruning for Out-of-distribution Generalization
Fengchun Qiao, Xi Peng
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields
Zhiyuan Min, Yawei Luo, Wei Yang et al.
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
Suorong Yang, Furao Shen, Jian Zhao
Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes
Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa
Entropy Coding of Unordered Data Structures
Julius Kunze, Daniel Severo, giulio zani et al.
Entropy-MCMC: Sampling from Flat Basins with Ease
Bolian Li, Ruqi Zhang
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
Xuefeng Liu, Chih-chan Tien, Peng Ding et al.
Environment Design for Inverse Reinforcement Learning
Thomas Kleine Buening, Victor Villin, Christos Dimitrakakis
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
Chentao Cao, Zhun Zhong, Zhanke Zhou et al.
EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion
Zehuan Huang, Hao Wen, Junting Dong et al.
EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control
Christopher May, Daniel Aliaga
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks
Hanjing Wang, Qiang Ji
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
Yingtao Zhang, Jialin Zhao, Wenjing Wu et al.
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho et al.
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yi-Lun Liao, Brandon Wood, Abhishek Das et al.
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration
Xueyang Kang, Zhaoliang Luan, Kourosh Khoshelham et al.
Equilibrium of Data Markets with Externality
Safwan Hossain, Yiling Chen
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
yang zhang, Zhewei Wei, Ye Yuan et al.
Equivariant Deep Weight Space Alignment
Aviv Navon, Aviv Shamsian, Ethan Fetaya et al.
Equivariant Diffusion for Crystal Structure Prediction
Peijia Lin, Pin Chen, Rui Jiao et al.
Equivariant Frames and the Impossibility of Continuous Canonicalization
Nadav Dym, Hannah Lawrence, Jonathan Siegel
Equivariant Multi-Modality Image Fusion
Zixiang Zhao, Haowen Bai, Jiangshe Zhang et al.
Equivariant Plug-and-Play Image Reconstruction
Matthieu Terris, Thomas Moreau, Nelly Pustelnik et al.
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
Bowen Jing, Tommi Jaakkola, Bonnie Berger
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng et al.
EraseDraw : Learning to Insert Objects by Erasing Them from Images
Alper Canberk, Maksym Bondarenko, Ege Ozguroglu et al.
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan, Tong Wei
ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments
Jingyu Zhang, Kun Yang, Yilei Wang et al.
Error Detection in Egocentric Procedural Task Videos
Shih-Po Lee, Zijia Lu, Zekun Zhang et al.
Error Feedback Can Accurately Compress Preconditioners
Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic et al.