All Papers

UpFusion: Novel View Diffusion from Unposed Sparse View Observations

Bharath Raj Nagoor Kani, Hsin-Ying Lee, Sergey Tulyakov et al.

UPOCR: Towards Unified Pixel-Level OCR Interface

Dezhi Peng, Zhenhua Yang, Jiaxin Zhang et al.

UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues

Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau et al.

Upper-body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving

Jiehui Wu, Jiansheng Chen, Qifeng Luo et al.

Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering

Xiaowei Qian, Bingheng Li, Zhao Kang

Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

Shangchen Zhou, Peiqing Yang, Jianyi Wang et al.

Urban Region Embedding via Multi-View Contrastive Prediction

Zechen Li, Weiming Huang, Kai Zhao et al.

Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter

Suqi Song, Chenxu Zhang, Peng Zhang et al.

URHand: Universal Relightable Hands

Zhaoxi Chen, Gyeongsik Moon, Kaiwen Guo et al.

URS-NeRF: Unordered Rolling Shutter Bundle Adjustment for Neural Radiance Fields

Bo Xu, Liu Ziao, Mengqi GUO et al.

USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields

Moyang Li, Peng Wang, Lingzhe Zhao et al.

USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation

Xiaoqi Wang, Wenbin He, Xiwei Xuan et al.

Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers

Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai et al.

Using AI Uncertainty Quantification to Improve Human Decision-Making

Laura Marusich, Jonathan Bakdash, Yan Zhou et al.

Using Artificial Populations to Study Psychological Phenomena in Neural Models

Jesse Roberts, Kyle Moore, Drew Wilenzick et al.

Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Kai Yang, Jian Tao, Jiafei Lyu et al.

Using Left and Right Brains Together: Towards Vision and Language Planning

Jun CEN, Chenfei Wu, Xiao Liu et al.

Using My Artistic Style? You Must Obtain My Authorization

Xiuli Bi, Haowei Liu, Weisheng Li et al.

Using Stratified Sampling to Improve LIME Image Explanations

Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari et al.

Using Symmetries to Lift Satisfiability Checking

Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe et al.

Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs

Chandra Mouli Sekar, Danielle Robinson, Shima Alizadeh et al.

USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval

Seungyeon Kim, Ankit Singh Rawat, Manzil Zaheer et al.

Utility-Fairness Trade-Offs and How to Find Them

Sepehr Dehdashtian, Bashir Sadeghi, Vishnu Naresh Boddeti

U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making

Ritwik Vashistha, Arya Farahi

UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation

Ruicong Liu, Feng Lu

U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation

You Wu, Kean Liu, Xiaoyue Mi et al.

UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement

yaofeng xie, Lingwei Kong, Kai Chen et al.

UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation

Hong Li, Yutang Feng, Song Xue et al.

V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models

Heng Wang, Jianbo Ma, Santiago Pascual et al.

V2Meow: Meowing to the Visual Beat via Video-to-Music Generation

Kun Su, Judith Li, Qingqing Huang et al.

V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception

Hao Xiang, Xin Xia, Zhaoliang Zheng et al.

VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models

Xiang Li, Qianli Shen, Kenji Kawaguchi

VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection

Peng Wu, Xuerong Zhou, Guansong Pang et al.

Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection

yuxin li, Yaoxuan Feng, Bo Chen et al.

Validating Privacy-Preserving Face Recognition under a Minimum Assumption

Hui Zhang, Xingbo Dong, YenLungLai et al.

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks

Junlong Liao, Wenda Fu, Cong Wang et al.

Value-Evolutionary-Based Reinforcement Learning

Pengyi Li, Jianye Hao, Hongyao Tang et al.

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties

Taylor Sorensen, Liwei Jiang, Jena Hwang et al.

ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation

Kim-Celine Kahl, Carsten Lüth, Maximilian Zenk et al.

Vamos: Versatile Action Models for Video Understanding

Shijie Wang, Qi Zhao, Minh Quan et al.

Vanilla Bayesian Optimization Performs Great in High Dimensions

Carl Hvarfner, Erik Hellsten, Luigi Nardi

Vanishing Gradients in Reinforcement Finetuning of Language Models

Noam Razin, Hattie Zhou, Omid Saremi et al.

Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes

Diandian Guo, Deng-Ping Fan, Tongyu Lu et al.

VAREN: Very Accurate and Realistic Equine Network

Silvia Zuffi, Ylva Mellbin, Ci Li et al.

Variable Importance in High-Dimensional Settings Requires Grouping

Yifan Lu, Ziqi Zhang, Chunfeng Yuan et al.

Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits

Qiwei Di, Tao Jin, Yue Wu et al.

Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data

Xiong Zhou, Xianming Liu, Hao Yu et al.

Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation

Chaowei Fang, Ziyin Zhou, Junye Chen et al.

Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions

Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas