11 citations · 20 across the 5 of their papers we have counts for
5 papers · 1 filter
Adversarial Refinement Network for Human Motion Prediction
Xianjin Chao, Yanrui Bin, Wenqing Chu +6
Human motion prediction aims to predict future 3D skeletal sequences by giving a limited human motion as inputs. Two popular methods, recurrent neural networks and feed-forward dee…
Adversarial Semantic Data Augmentation for Human Pose Estimation
Yanrui Bin, Xuan Cao, Xinya Chen +7
Human pose estimation is the task of localizing body keypoints from still images. The state-of-the-art methods suffer from insufficient examples of challenging cases such as symmet…
Anti-Confusing: Region-Aware Network for Human Pose Estimation
Xuan Cao, Yanhao Ge, Ying Tai +5
In this work, we propose a novel framework named Region-Aware Network (RANet), which learns the ability of anti-confusing in case of heavy occlusion, nearby person and symmetric ap…
Sparse Photometric 3D Face Reconstruction Guided by Morphable Models
Xuan Cao, Zhang Chen, Anpei Chen +3
We present a novel 3D face reconstruction technique that leverages sparse photometric stereo (PS) and latest advances on face registration/modeling from a single image. We observe…
A Learning-based Framework for Hybrid Depth-from-Defocus and Stereo Matching
Zhang Chen, Xinqing Guo, Siyuan Li +2
Depth from defocus (DfD) and stereo matching are two most studied passive depth sensing schemes. The techniques are essentially complementary: DfD can robustly handle repetitive te…