Papers
Pose Guided Human Video Generation
Ceyuan Yang, Zhe Wang, Xinge Zhu et al.
Pose-Guided Photorealistic Face Rotation
Yibo Hu, Xiang Wu, Bing Yu et al.
Pose-Normalized Image Generation for Person Re-identification
Xuelin Qian, Yanwei Fu, Tao Xiang et al.
Pose Partition Networks for Multi-Person Pose Estimation
Xuecheng Nie, Jiashi Feng, Junliang Xing et al.
Pose Proposal Networks
Sekii, Taiki
pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment
Je Hyeong Hong, Christopher Zach
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
Kaidi Cao, Yu Rong, Cheng Li et al.
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
Mykhaylo Andriluka, Umar Iqbal, Eldar Insafutdinov et al.
Pose Transferrable Person Re-Identification
Jinxian Liu, Bingbing Ni, Yichao Yan et al.
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation
Hong Shi, Shaojun Pan, Jian Yang et al.
Possessors Change Over Time: A Case Study with Artworks
Dhivya Chinnappa, Eduardo Blanco
Possibilistic ASP Base Revision by Certain Input
Laurent Garcia, Claire Lefèvre, Odile Papini et al.
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization
Yuanxiang Gao, Li Chen, Baochun Li
Posterior Concentration for Sparse Deep Learning
Nicholas G Polson, Veronika Ročková
Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding
Sneha Das, Tom Bäckström
Postfiltering with Complex Spectral Correlations for Speech and Audio Coding
Sneha Das, Tom Bäckström
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models
Junwei Lu, Mladen Kolar, Han Liu
Post Selection Inference with Kernels
Makoto Yamada, Yuta Umezu, Kenji Fukumizu et al.
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić, Goran Glavaš, Nikola Mrkšić et al.
PoTion: Pose MoTion Representation for Action Recognition
Vasileios Choutas, Philippe Weinzaepfel, Jérôme Revaud et al.
Power-law Distribution Aware Trust Prediction
Xiao Wang, Ziwei Zhang, Jing Wang et al.
Power-law efficient neural codes provide general link between perceptual bias and discriminability
Michael Morais, Jonathan W Pillow
PowerMan: An Out-of-Band Management Network for Datacenters Using Power Line Communication
Li Chen, Jiacheng Xia, Bairen Yi et al.
Power Networks: A Novel Neural Architecture to Predict Power Relations
Michelle Lam, Catherina Xu, Vinodkumar Prabhakaran