Poster Papers
24,624 papers found • Page 345 of 493
Conference
Contextual Correspondence Matters: Bidirectional Graph Matching for Video Summarization
yunzuo zhang, Yameng Liu
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models
Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang et al.
Contextual Feature Selection with Conditional Stochastic Gates
Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz et al.
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning
Jannik Deuschel, Caleb Ellington, Yingtao Luo et al.
Continual Forgetting for Pre-trained Vision Models
Hongbo Zhao, Bolin Ni, Junsong Fan et al.
Continual Learning and Unknown Object Discovery in 3D Scenes via Self-Distillation
Mohamed El Amine Boudjoghra, Jean Lahoud, Salman Khan et al.
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy
Dae Jun Kang, Dongsuk Kum, Sanmin Kim
Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference
Qian Liang, Yan Chen, Yang Hu
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
Donggyu Lee, Sangwon Jung, Taesup Moon
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem et al.
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
Jiaming Liu, Ran Xu, Senqiao Yang et al.
Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
Jae-Hong Lee, Joon-Hyuk Chang
Continual Segmentation with Disentangled Objectness Learning and Class Recognition
Yizheng Gong, Siyue Yu, Xiaoyang Wang et al.
Continuity Preserving Online CenterLine Graph Learning
Yunhui Han, Kun Yu, Zhiwei Li
Continuous Invariance Learning
LIN Yong, Fan Zhou, Lu Tan et al.
Continuous Memory Representation for Anomaly Detection
Joo Chan Lee, Taejune Kim, Eunbyung Park et al.
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
Shaofeng Zhang, Jinfa Huang, Qiang Zhou et al.
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World
Huiyuan Fu, Fei Peng, Xianwei Li et al.
Continuous Pose for Monocular Cameras in Neural Implicit Representation
Qi Ma, Danda Paudel, Ajad Chhatkuli et al.
Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis
Jaein Kim, HEE BIN YOO, Dong-Sig Han et al.
Continuous Treatment Effects with Surrogate Outcomes
Zhenghao Zeng, David Arbour, Avi Feller et al.
Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution
Xingyuan Li, Jinyuan Liu, ZHIXIN CHEN et al.
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos
Zhicheng Zheng, Xin Yan, Zhenfang Chen et al.
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
Lorenzo Baraldi, Federico Cocchi, Marcella Cornia et al.
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding
Le Zhang, Rabiul Awal, Aishwarya Agrawal
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
Zoe Piran, Michal Klein, James Thornton et al.
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
Hyelin Nam, Gihyun Kwon, Geon Yeong Park et al.
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery
Andy V Huynh, Lauren Gillespie, Jael Lopez-Saucedo et al.
Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources
Xia, Jonathan Wilson, Benjamin Goldstein et al.
Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking
Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu
Contrastive Learning is Spectral Clustering on Similarity Graph
Zhiquan Tan, Yifan Zhang, Jingqin Yang et al.
Contrastive Learning with Synthetic Positives
Dewen Zeng, Xinrong Hu, Yawen Wu et al.
Contrastive Mean-Shift Learning for Generalized Category Discovery
Sua Choi, Dahyun Kang, Minsu Cho
Contrastive Predict-and-Search for Mixed Integer Linear Programs
Taoan Huang, Aaron Ferber, Arman Zharmagambetov et al.
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
Joey Hejna, Rafael Rafailov, Harshit Sikchi et al.
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
Haoran Xu, Amr Sharaf, Yunmo Chen et al.
Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment
Ziyu Shan, Yujie Zhang, Qi Yang et al.
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
David Wan, Jaemin Cho, Elias Stengel-Eskin et al.
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
Xiaoyu Wen, Chenjia Bai, Kang Xu et al.
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration
Dongwon Park, Hayeon Kim, Se Young Chun
Control4D: Efficient 4D Portrait Editing with Text
Ruizhi Shao, Jingxiang Sun, Cheng Peng et al.
ControlCap: Controllable Region-level Captioning
Yuzhong Zhao, Liu Yue, Zonghao Guo et al.
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights
Shunqi Mao, Chaoyi Zhang, Hang Su et al.
Controllable Human-Object Interaction Synthesis
Jiaman Li, Alexander Clegg, Roozbeh Mottaghi et al.
Controllable Navigation Instruction Generation with Chain of Thought Prompting
Xianghao Kong, Jinyu Chen, Wenguan Wang et al.
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Hoang Phan, Andrew Wilson, Qi Lei
Controlled Decoding from Language Models
Sidharth Mudgal, Jong Lee, Harish Ganapathy et al.
Controlling the World by Sleight of Hand
Sruthi Sudhakar, Ruoshi Liu, Basile Van Hoorick et al.
Controlling Vision-Language Models for Multi-Task Image Restoration
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao et al.
ControlLLM: Augment Language Models with Tools by Searching on Graphs
Zhaoyang Liu, Zeqiang Lai, Zhangwei Gao et al.