43 citations · 224 across the 27 of their papers we have counts for
5 papers · 1 filter
TRB: A Novel Triplet Representation for Understanding 2D Human Body
Haodong Duan, KwanYee Lin, Sheng Jin +3
Human pose and shape are two important components of 2D human body. However, how to efficiently represent both of them in images is still an open question. In this paper, we propos…
EgoFace: Egocentric Face Performance Capture and Videorealistic Reenactment
Mohamed Elgharib, Mallikarjun BR, Ayush Tewari +4
Face performance capture and reenactment techniques use multiple cameras and sensors, positioned at a distance from the face or mounted on heavy wearable devices. This limits their…
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation
Xipeng Chen, Kwan-Yee Lin, Wentao Liu +3
Recent studies have shown remarkable advances in 3D human pose estimation from monocular images, with the help of large-scale in-door 3D datasets and sophisticated network architec…
Multi-person Articulated Tracking with Spatial and Temporal Embeddings
Sheng Jin, Wentao Liu, Wanli Ouyang +1
We propose a unified framework for multi-person pose estimation and tracking. Our framework consists of two main components,~\ie~SpatialNet and TemporalNet. The SpatialNet accompli…
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation
Wei Feng, Wentao Liu, Tong Li +3
Human-object interactions (HOI) recognition and pose estimation are two closely related tasks. Human pose is an essential cue for recognizing actions and localizing the interacted…