Kun He
何坤 • Researcher at Meta Reality Labs • FirstnameLastname @ meta.com
I am a research scientist at Meta Reality Labs, working on the future of communication and interactions in AR/VR, using computer vision and machine learning techniques. Here’s my CV.
My current research interests include: human body/hand pose estimation and tracking, domain adaptation, and active learning.
I graduated from Boston University in 2018 with PhD and MSc degrees in computer science. My advisor was Professor Stan Sclaroff. During grad school, I did research internships at Disney Research and Honda Research Institute, and I was a visiting student at Brown University. I hold a Bachelor’s degree in computer science from Zhejiang University, China.
news
Jul 04, 2024 | Paper accepted at ECCV 2024 (with Zicong Fan, Takehiko Ohkawa, Linlin Yang et al): Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects |
---|---|
Jun 18, 2024 | Assembly101 paper received the EgoVis 2022/2023 Distinguished Paper Award. Honored to be part of the team. |
May 01, 2024 | I am co-organizing the HANDS workshop at ECCV 2024. |
Jun 25, 2023 | AssemblyHands dataset will be featured in the 7th HANDS workshop at ICCV 2023: Task 1 - Egocentric 3D Hand Pose Estimation. |
Feb 28, 2023 | Paper accepted to CVPR 2023 (with Takehiko Ohkawa et al): AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation. |
publications
conference papers
- AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose EstimationIn Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2023
- Generalized Majorization-MinimizationIn Proc. International Conference on Machine Learning (ICML) , Jun 2019
- Scale Resilient, Rotation Invariant Articulated Object MatchingIn Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2012
journal papers
- Predicting Foreground Object Ambiguity And Efficiently Crowdsourcing the Segmentation(s)International Journal of Computer Vision (IJCV), 2018
theses
-
- Stochastic Functional Descent for Learning Support Vector MachinesM.Sc. Thesis, Boston University, 2013