Peiyun Hu

I am a research scientist at Apple with Stephan Richter and Vladlen Koltun. Previously, I worked at Apple SPG and Argo AI. I did my PhD in Robotics at Robotics Institute, Carnegie Mellon University, where I was advised by Deva Ramanan.

teaser_vis

Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting
Tarasha Khurana*, Peiyun Hu*, David Held, Deva Ramanan
 Computer Vision and Pattern Recognition (CVPR), 2023
 paper / project / talk / code

teaser_vis

Differentiable Raycasting for Self-Supervised Planning
Tarasha Khurana*, Peiyun Hu*, Achal Dave, Jason Ziglar, David Held, Deva Ramanan
 European Conference on Computer Vision (ECCV), 2022
 paper / project / code

teaser_vis

Safe Local Motion Planning with Self-Supervised Freespace Forecasting
Peiyun Hu, Aaron Huang, John Dolan, David Held, Deva Ramanan
 Computer Vision and Pattern Recognition (CVPR), 2021
 paper / project / poster / talk / code

teaser_curtain

Active Perception using Light Curtains for Autonomous Driving
Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa Narasimhan, David Held
 European Conference on Computer Vision (ECCV), 2020
(Spotlight Presentation)
 paper / project / slides / talk / code

teaser_vis

What You See is What You Get: Exploiting Visibility for 3D Object Detection
Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan
 Computer Vision and Pattern Recognition (CVPR), 2020
(Oral Presentation)
 paper / project / slides / talk / demo / code

teaser_seg

Learning to Optimally Segment Point Clouds
Peiyun Hu, David Held*, Deva Ramanan*
 IEEE Robotics and Automation Letters (RA-L) and ICRA, 2020
 paper / project / slides / talk / demo / code

teaser_vis

Recognizing Tiny Faces
Siva Chaitanya Mynepalli, Peiyun Hu, Deva Ramanan
 Computer Vision and Pattern Recognition Workshops (CVPR-W), 2019
 paper

teaser_seg

Inferring Distributions Over Depth from a Single Image
Gengshan Yang, Peiyun Hu, Deva Ramanan
 IEEE International Conference on Intelligent Robots and Systems (IROS), 2019
 paper / project / slides / code

teaser_alpf

Active Learning with Partial Feedback
Peiyun Hu, Zack C. Lipton, Anima Anandkumar, Deva Ramanan
International Conference on Learning Representations (ICLR), 2019
 paper / poster / code

teaser_vis

Camera-based Semantic Enhanced Vehicle Segmentation for Planar LIDAR
Chen Fu, Peiyun Hu, Chiyu Dong, Christoph Mertz, John Dolan
 International Conference on Intelligent Transportation Systems (ISTC), 2018
 paper

teaser_nrec

Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset
Zachary Pezzementi, Trenton Tabor, Peiyun Hu, Jonathan K. Chang, Deva Ramanan, Carl Wellington, Benzun P. Wisely Babu, Herman Herman
 Journal of Field Robotics (JFR), 2018
 paper / project / video

Unconstrained Face Detection and Open-Set Face Recognition Challenge
Manuel Gunther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jurgen Beyerer, Josef Kittler, Mohamad Al Jazaery, Mohammad Iqbal Nouyed, Guodong Guo, Cezary Stankiewicz, Terrance E Boult
 IEEE International Joint Conference on Biometrics (IJCB), 2017
 paper

teaser_tiny

Finding Tiny Faces
Peiyun Hu, Deva Ramanan
 Computer Vision and Pattern Recognition (CVPR), 2017
 paper / project / video / poster / press / code

teaser_topdown

Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians
Peiyun Hu, Deva Ramanan
 Computer Vision and Pattern Recognition (CVPR), 2016
(Spotlight Presentation)
 paper / project / ext. abstract / slides / talk / poster / code


website template