activity
20182024
most cited3D Human Motion Estimation via Motion Compression and Refinement

10 citations · 15 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV20241 cited

Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions

Rawal Khirodkar, Jyun-Ting Song, Jinkun Cao +2

Understanding how humans interact with each other is key to building realistic multi-human virtual reality systems. This area remains relatively unexplored due to the lack of large…

cs.CV20204 cited

Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation

Zhengyi Luo, Ryo Hachiuma, Ye Yuan +2

We propose a method for incorporating object interaction and human body dynamics into the task of 3D ego-pose estimation using a head-mounted camera. We use a kinematics model of t…

cs.CV202010 cited

3D Human Motion Estimation via Motion Compression and Refinement

Zhengyi Luo, S. Alireza Golestaneh, Kris M. Kitani

We develop a technique for generating smooth and accurate 3D human pose and motion estimates from RGB video sequences. Our method, which we call Motion Estimation via Variational A…

cs.CV2020

Learning Shape Representations for Clothing Variations in Person Re-Identification

Yu-Jhe Li, Zhengyi Luo, Xinshuo Weng +1

Person re-identification (re-ID) aims to recognize instances of the same person contained in multiple images taken across different cameras. Existing methods for re-ID tend to rely…

cs.CV2018

Cross-Domain 3D Equivariant Image Embeddings

Carlos Esteves, Avneesh Sud, Zhengyi Luo +2

Spherical convolutional networks have been introduced recently as tools to learn powerful feature representations of 3D shapes. Spherical CNNs are equivariant to 3D rotations makin…

cs.CV2018

Cloud Chaser: Real Time Deep Learning Computer Vision on Low Computing Power Devices

Zhengyi Luo, Austin Small, Liam Dugan +1

Internet of Things(IoT) devices, mobile phones, and robotic systems are often denied the power of deep learning algorithms due to their limited computing power. However, to provide…