Papers
PolarMask: Single Shot Instance Segmentation With Polar Representation
Enze Xie, Peize Sun, Xiaoge Song et al.
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
Yang Zhang, Zixiang Zhou, Philip David et al.
Polishing Decision-Based Adversarial Noise With a Customized Sampling
Yucheng Shi, Yahong Han, Qi Tian
PolyTransform: Deep Polygon Transformer for Instance Segmentation
Justin Liang, Namdar Homayounfar, Wei-Chiu Ma et al.
Pose-Guided Visible Part Matching for Occluded Person ReID
Shang Gao, Jingya Wang, Huchuan Lu et al.
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection
Yue Liao, Si Liu, Fei Wang et al.
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
Rundi Wu, Yixin Zhuang, Kai Xu et al.
PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition
Kun Su, Xiulong Liu, Eli Shlizerman
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers
Lyujian Lu, Hua Wang, Saad Elbeleidy et al.
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning
Zhibo Yang, Lihan Huang, Yupei Chen et al.
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution
Yu Zhao, Fan Yang, Yuqi Fang et al.
Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks
Thomas Roddick, Roberto Cipolla
Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields
Michael Ramamonjisoa, Yuming Du, Vincent Lepetit
Prime Sample Attention in Object Detection
Yuhang Cao, Kai Chen, Chen Change Loy et al.
Prior Guided GAN Based Semantic Inpainting
Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal et al.
Private-kNN: Practical Differential Privacy for Computer Vision
Yuqing Zhu, Xiang Yu, Manmohan Chandraker et al.
ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours
VSR Veeravasarapu, Abhishek Goel, Deepak Mittal et al.
Probabilistic Pixel-Adaptive Refinement Networks
Anne S. Wannenwetsch, Stefan Roth
Probabilistic Regression for Visual Tracking
Martin Danelljan, Luc Van Gool, Radu Timofte
Probabilistic Structural Latent Representation for Unsupervised Embedding
Mang Ye, Jianbing Shen
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence
Yunbo Wang, Jiajun Wu, Mingsheng Long et al.
Probability Weighted Compact Feature for Domain Adaptive Retrieval
Fuxiang Huang, Lei Zhang, Yang Yang et al.
Progressive Adversarial Networks for Fine-Grained Domain Adaptation
Sinan Wang, Xinyang Chen, Yunbo Wang et al.
Progressive Mirror Detection
Jiaying Lin, Guodong Wang, Rynson W.H. Lau
Progressive Relation Learning for Group Activity Recognition
Guyue Hu, Bo Cui, Yuan He et al.