All Papers

Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data

Haitong LIU, Qiang Li, Hoi To Wai

Two-timescale Extragradient for Finding Local Minimax Points

Jiseok Chae, Kyuwon Kim, Donghwan Kim

Tyche: Stochastic In-Context Learning for Medical Image Segmentation

Marianne Rakic, Hallee Wong, Jose Javier Gonzalez Ortiz et al.

UAV First-Person Viewers Are Radiance Field Learners

Liqi Yan, Qifan Wang, Junhan Zhao et al.

uCAP: An Unsupervised Prompting Method for Vision-Language Models

A. Tuan Nguyen, Kai Sheng Tai, Bor-Chun Chen et al.

UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt

Xin Li, Bingchen Li, Yeying Jin et al.

UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation

Kefu Yi, Kai Luo, Xiaolei Luo et al.

UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving

Kai Cheng, Xiaoxiao Long, Wei Yin et al.

U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation

li zhang, Weiqing Meng, Yan Zhong et al.

UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework

Tarun Kalluri, Sreyas Ravichandran, Manmohan Chandraker

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion

Junsheng Zhou, Weiqi Zhang, Baorui Ma et al.

UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models

Yiming Zhao, Zhouhui Lian

UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing

Xiaoyang Wang, Hongping Gan

UFDA: Universal Federated Domain Adaptation with Practical Assumptions

Xinhui Liu, Zhenghao Chen, Luping Zhou et al.

UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity

Jialong Zuo, Hanyu Zhou, Ying Nie et al.

UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs

Yanwu Xu, Yang Zhao, Zhisheng Xiao et al.

UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets

Youngju Na, Woo Jae Kim, Kyu Han et al.

UGG: Unified Generative Grasping

Jiaxin Lu, Hao Kang, Haoxiang Li et al.

UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs

Xi Han, Fei Hou, Hong Qin

ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision

Congyu Qiao, Ning Xu, Yihao Hu et al.

ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding

Le Xue, Ning Yu, Shu Zhang et al.

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback

Ganqu Cui, Lifan Yuan, Ning Ding et al.

UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures

Mingyuan Zhou, Rakib Hyder, Ziwei Xuan et al.

UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation

Jinho Park, Se Young Chun, Mingoo Seok

UMBRAE: Unified Multimodal Brain Decoding

Weihao Xia, Raoul de Charette, Cengiz Oztireli et al.

UMERegRobust – Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration

Yuval Haitman, Amit Efraim, Joseph Francos

UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding

Bowen Shi, Peisen Zhao, Zichen Wang et al.

UMIE: Unified Multimodal Information Extraction with Instruction Tuning

Lin Sun, Kai Zhang, Qingyuan Li et al.

U-mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting

Xiang Ma, Xuemei Li, Lexin Fang et al.

Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation

Luca Eyring, Dominik Klein, Théo Uscidda et al.

Unbiased Estimator for Distorted Conics in Camera Calibration

Chaehyeon Song, Jaeho Shin, Myung-Hwan Jeon et al.

Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection

Yajing Liu, Shijun Zhou, Xiyao Liu et al.

Unbiased Multi-Label Learning from Crowdsourced Annotations

Mingxuan Xia, Zenan Huang, Runze Wu et al.

Unbiased Watermark for Large Language Models

Zhengmian Hu, Lichang Chen, Xidong Wu et al.

Uncertainty-aware Action Decoupling Transformer for Action Anticipation

Hongji Guo, Nakul Agarwal, Shao-Yuan Lo et al.

Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning

Sheng Xu, Guiliang Liu

Uncertainty-Aware GAN for Single Image Super Resolution

Uncertainty-aware Graph-based Hyperspectral Image Classification

Linlin Yu, Yifei Lou, Feng Chen

Uncertainty-Aware Reward-Free Exploration with General Function Approximation

Junkai Zhang, Weitong Zhang, Dongruo Zhou et al.

Uncertainty-aware sign language video retrieval with probability distribution modeling

Xuan Wu, Hongxiang Li, yuanjiang luo et al.

Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer

Yuang Ai, Xiaoqiang Zhou, Huaibo Huang et al.

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features

Jiayuan Chen, Kehan Guo, Zhen Liu et al.

Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset

Mijoo Kim, Junseok Kwon

Uncertainty-Driven Spectral Compressive Imaging with Spatial-Frequency Transformer

Lintao Peng, Siyu Xie, Liheng Bian

Uncertainty Estimation by Density Aware Evidential Deep Learning

Taeseong Yoon, Heeyoung Kim

Uncertainty for Active Learning on Graphs

Dominik Fuchsgruber, Tom Wollschläger, Bertrand Charpentier et al.

Uncertainty-Guided Never-Ending Learning to Drive

Lei Lai, Eshed Ohn-Bar, Sanjay Arora et al.

Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

Tailin Wu, Willie Neiswanger, Hongtao Zheng et al.

Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model

Shunsuke Horii, Yoichi Chikahara