Papers
Unsupervised Part Segmentation Through Disentangling Appearance and Shape
Shilong Liu, Lei Zhang, Xiao Yang et al.
Unsupervised Pre-Training for Person Re-Identification
Dengpan Fu, Dongdong Chen, Jianmin Bao et al.
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training
Yunxuan Wei, Shuhang Gu, Yawei Li et al.
UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
Mohamed El Banani, Luya Gao, Justin Johnson
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Xudong Wang, Long Lian, Stella X. Yu
Unsupervised Visual Representation Learning by Tracking Patches in Video
Guangting Wang, Yizhou Zhou, Chong Luo et al.
Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization
Xingjia Pan, Yingguo Gao, Zhiwen Lin et al.
UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers
Zhigang Dai, Bolun Cai, Yugeng Lin et al.
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
Kunming Luo, Chuan Wang, Shuaicheng Liu et al.
User-Guided Line Art Flat Filling With Split Filling Mechanism
Lvmin Zhang, Chengze Li, Edgar Simo-Serra et al.
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias
Stefan Stojanov, Anh Thai, James M. Rehg
UV-Net: Learning From Boundary Representations
Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne et al.
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning
Jongwon Choi, Kwang Moo Yi, Jihoon Kim et al.
Variational Pedestrian Detection
Yuang Zhang, Huanyu He, Jianguo Li et al.
Variational Prototype Learning for Deep Face Recognition
Jiankang Deng, Jia Guo, Jing Yang et al.
Variational Relational Point Completion Network
Liang Pan, Xinyi Chen, Zhongang Cai et al.
Variational Transformer Networks for Layout Generation
Diego Martin Arroyo, Janis Postels, Federico Tombari
VarifocalNet: An IoU-Aware Dense Object Detector
Haoyang Zhang, Ying Wang, Feras Dayoub et al.
VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts
Matthew J. Vowels, Necati Cihan Camgoz, Richard Bowden
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang et al.
Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing
Wen Shen, Zhihua Wei, Shikun Huang et al.
VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples
Tian Pan, Yibing Song, Tianyu Yang et al.
Video Object Segmentation Using Global and Instance Embedding Learning
Wenbin Ge, Xiankai Lu, Jianbing Shen
Video Prediction Recalling Long-Term Motion Context via Memory Alignment Learning
Sangmin Lee, Hak Gu Kim, Dae Hwi Choi et al.
Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling
Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu et al.