Papers
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory
Haiwen Diao, Bo Wan, Ying Zhang et al.
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition
Xiaohan Ding, Yiyuan Zhang, Yixiao Ge et al.
Universal Novelty Detection Through Adaptive Contrastive Learning
Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari et al.
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution
Zakariya Chaouai, Mohamed Tamaazousti
Universal Segmentation at Arbitrary Granularity with Language Instruction
Yong Liu, Cairong Zhang, Yitong Wang et al.
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
Wenyu Zhang, Qingmu Liu, Felix Ong Wei Cong et al.
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
Minghan Li, Shuai Li, Xindong Zhang et al.
Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization
Mainak Singha, Ankit Jha, Shirsha Bose et al.
Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection
Ke Li, Di Wang, Zhangyuan Hu et al.
Unleashing Network Potentials for Semantic Scene Completion
Fengyun Wang, Qianru Sun, Dong Zhang et al.
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding
Zhiheng Cheng, Qingyue Wei, Hongru Zhu et al.
Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization
Guopeng Li, Ming Qian, Gui-Song Xia
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis
Tariq Berrada Ifriqi, Jakob Verbeek, Camille Couprie et al.
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
Ziqin Zhou, Hai-Ming Xu, Yangyang Shu et al.
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li
Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis
Yang Yu, Erting Pan, Xinya Wang et al.
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
Haijin Zeng, Jiezhang Cao, Kai Zhang et al.
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
Ben Agro, Quinlan Sykora, Sergio Casas et al.
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
Yuanhong Chen, Yuyuan Liu, Hu Wang et al.
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
Shuai Yuan, Lei Luo, Zhuo Hui et al.
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
David Rozenberszki, Or Litany, Angela Dai
Unsegment Anything by Simulating Deformation
Jiahao Lu, Xingyi Yang, Xinchao Wang
Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes
Yujie Lu, Long Wan, Nayu Ding et al.
Unsupervised 3D Structure Inference from Category-Specific Image Collections
Weikang Wang, Dongliang Cao, Florian Bernard
Unsupervised Blind Image Deblurring Based on Self-Enhancement
Lufei Chen, Xiangpeng Tian, Shuhua Xiong et al.