Poster Papers
24,624 papers found • Page 93 of 493
Conference
Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation
Shivam Duggal, Yushi Hu, Oscar Michel et al.
EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
Shihan Dou, Ming Zhang, Chenhao Huang et al.
Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
Sihyung Park, Wenbin Lu, Shu Yang
E-Valuating Classifier Two-Sample Tests
Tim Bakker, Christian A. Naesseth, Patrick Forré et al.
Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
Yilun Zhou, Austin Xu, PeiFeng Wang et al.
Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study
Lili Zhao, Yang Wang, Qi Liu et al.
Evaluating LLM-contaminated Crowdsourcing Data Without Ground Truth
Yichi Zhang, Jinlong Pang, Zhaowei Zhu et al.
Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving
Yuxuan Zhou, Xien Liu, Chenwei Yan et al.
Evaluating LLMs in Open-Source Games
Swadesh Sistla, Max Kleiman-Weiner
Evaluating Model Perception of Color Illusions in Photorealistic Scenes
Lingjun Mao, Zineng Tang, Alane Suhr
Evaluating multiple models using labeled and unlabeled data
Divya Shanmugam, Shuvom Sadhuka, Manish Raghavan et al.
Evaluating Neuron Explanations: A Unified Framework with Sanity Checks
Tuomas Oikarinen, Ge Yan, Lily Weng
Evaluating Program Semantics Reasoning with Type Inference in System $F$
Yifeng He, Luning Yang, Christopher Gonzalo et al.
Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations
Jack Nugent, Siyang Wu, Zeyu Ma et al.
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
Xiangru Zhu, Penglei Sun, Yaoxian Song et al.
Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps
Haibo Jin, Peiyan Zhang, Man Luo et al.
Evaluating Vision-Language Models as Evaluators in Path Planning
Mohamed Aghzal, Xiang Yue, Erion Plaku et al.
EVDM: Event-based Real-world Video Deblurring with Mamba
Zhijing Sun, Senyan Xu, Kean Liu et al.
Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting
Jiawei Zhang, Youmin Zhang, Fabio Tosi et al.
Event-aided Dense and Continuous Point Tracking: Everywhere and Anytime
Zhexiong Wan, Jianqin Luo, Yuchao Dai et al.
Event-based HDR Structured Light
Jiacheng Fu, Yue Li, Xin Dong et al.
Event-based Tiny Object Detection: A Benchmark Dataset and Baselines
Nuo Chen, Chao Xiao, Yimian Dai et al.
Event-based Video Super-Resolution via State Space Models
Zeyu Xiao, Xinchao Wang
Event-based Visual Vibrometry
Xinyu Zhou, Peiqi Duan, Yeliduosi Xiaokaiti et al.
Event-boosted Deformable 3D Gaussians for Dynamic Scene Reconstruction
Wenhao Xu, Wenming Weng, Yueyi Zhang et al.
Event-Customized Image Generation
Zhen Wang, Yilei JIANG, Dong Zheng et al.
Event-Driven Online Vertical Federated Learning
Ganyu Wang, Boyu Wang, Bin Gu et al.
Event-Driven Storytelling with Multiple Lifelike Humans in a 3D Scene
Donggeun Lim, Jinseok Bae, Inwoo Hwang et al.
Event-Equalized Dense Video Captioning
Kangyi Wu, Pengna Li, Jingwen Fu et al.
EventFly: Event Camera Perception from Ground to the Sky
Lingdong Kong, Dongyue Lu, Xiang Xu et al.
EventGPT: Event Stream Understanding with Multimodal Large Language Models
shaoyu liu, Jianing Li, guanghui zhao et al.
Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline
Kanghao Chen, Zixin Zhang, Guoqiang Liang et al.
Event-guided HDR Reconstruction with Diffusion Priors
Yixin Yang, jiawei zhang, Yang Zhang et al.
Event-guided Unified Framework for Low-light Video Enhancement, Frame Interpolation, and Deblurring
Taewoo Kim, Kuk-Jin Yoon
EventSplat: 3D Gaussian Splatting from Moving Event Cameras for Real-time Rendering
Toshiya Yura, Ashkan Mirzaei, Igor Gilitschenski
EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesis
Alexander Mai, Peter Hedman, George Kopanas et al.
EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
Haotian Ling, Zequn Chen, Qiuying Chen et al.
Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
Xinglin Wang, Yiwei Li, Shaoxiong Feng et al.
Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyond
Guanyao Wu, Haoyu Liu, Hongming Fu et al.
Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
Maxime Méloux, Silviu Maniu, François Portet et al.
Everything is a Video: Unifying Modalities through Next-Frame Prediction
G Thomas Hudson, Dean Slack, Thomas Winterbottom et al.
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
Jingcheng Deng, Zihao Wei, Liang Pang et al.
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Jiayi Guo, Zhao Junhao, Chaoqun Du et al.
Evidential Knowledge Distillation
Liangyu Xiang, Junyu Gao, Changsheng Xu
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
Lile Cai, Chuan Sheng Foo, Xun Xu et al.
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory
Jonas Kälble, Sascha Wirges, Maxim Tatarchenko et al.
EVODiff: Entropy-aware Variance Optimized Diffusion Inference
Shigui Li, Wei Chen, Delu Zeng
EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis
Sheng Miao, Jiaxin Huang, Dongfeng Bai et al.
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Yasha Ektefaie, Andrew Shen, Lavik Jain et al.
EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution
Zhebei Shen, Qifan Yu, Juncheng Li et al.