58 citations · 163 across the 7 of their papers we have counts for
8 papers
End-to-End 3D Hand Pose Estimation from Stereo Cameras
Yuncheng Li, Zehao Xue, Yingying Wang +3
This work proposes an end-to-end approach to estimate full 3D hand pose from stereo cameras. Most existing methods of estimating hand pose from stereo cameras apply stereo matching…
Pose-based Body Language Recognition for Emotion and Psychiatric Symptom Interpretation
Zhengyuan Yang, Amanda Kay, Yuncheng Li +2
Inspired by the human ability to infer emotions from body language, we propose an automated framework for body language based emotion recognition starting from regular RGB videos.…
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
Xuecheng Nie, Yuncheng Li, Linjie Luo +2
Existing video-based human pose estimation methods extensively apply large networks onto every frame in the video to localize body joints, which suffer high computational cost and…
Weakly Supervised Body Part Segmentation with Pose based Part Priors
Zhengyuan Yang, Yuncheng Li, Linjie Yang +2
Human body part segmentation refers to the task of predicting the semantic segmentation mask for each body part. Fully supervised body part segmentation methods achieve good perfor…
3D Hand Shape and Pose Estimation from a Single RGB Image
Liuhao Ge, Zhou Ren, Yuncheng Li +4
This work addresses a novel and challenging problem of estimating the full 3D hand shape and pose from a single RGB image. Most current methods in 3D hand analysis from monocular R…
Laplace Landmark Localization
Joseph P Robinson, Yuncheng Li, Ning Zhang +2
Landmark localization in images and videos is a classic problem solved in various ways. Nowadays, with deep networks prevailing throughout machine learning, there are revamped inte…
Learning from Noisy Labels with Distillation
Yuncheng Li, Jianchao Yang, Yale Song +3
The ability of learning from noisy labels is very useful in many visual recognition tasks, as a vast amount of data with noisy labels are relatively easy to obtain. Traditionally,…
TGIF: A New Dataset and Benchmark on Animated GIF Description
Yuncheng Li, Yale Song, Liangliang Cao +4
With the recent popularity of animated GIFs on social media, there is need for ways to index them with rich metadata. To advance research on animated GIF understanding, we collecte…