Peiyun Hu

According to our database, Peiyun Hu authored at least 20 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting.

Tarasha Khurana, Peiyun Hu, David Held, Deva Ramanan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Robust and Scalable Perception For Autonomy.

Peiyun Hu

PhD thesis, 2022

Differentiable Raycasting for Self-Supervised Occupancy Forecasting.

Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Safe Local Motion Planning With Self-Supervised Freespace Forecasting.

Peiyun Hu, Aaron Huang, John M. Dolan, David Held, Deva Ramanan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Learning to Optimally Segment Point Clouds.

Peiyun Hu, David Held, Deva Ramanan

IEEE Robotics Autom. Lett., 2020

Active Perception Using Light Curtains for Autonomous Driving.

Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held

Proceedings of the Computer Vision - ECCV 2020, 2020

What You See is What You Get: Exploiting Visibility for 3D Object Detection.

Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Inferring Distributions Over Depth from a Single Image.

Gengshan Yang, Peiyun Hu, Deva Ramanan

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Active Learning with Partial Feedback.

Peiyun Hu, Zachary C. Lipton, Anima Anandkumar, Deva Ramanan

Proceedings of the 7th International Conference on Learning Representations, 2019

Recognizing Tiny Faces.

Siva Chaitanya Mynepalli, Peiyun Hu, Deva Ramanan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Comparing apples and oranges: Off-road pedestrian detection on the National Robotics Engineering Center agricultural person-detection dataset.

Zachary Pezzementi, Trenton Tabor, Peiyun Hu, Jonathan K. Chang, Deva Ramanan, Carl Wellington, Benzun P. Wisely Babu, Herman Herman

J. Field Robotics, 2018

Camera-Based Semantic Enhanced Vehicle Segmentation for Planar LIDAR.

Chen Fu, Peiyun Hu, Chiyu Dong, Christoph Mertz, John M. Dolan

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Unconstrained Face Detection and Open-Set Face Recognition Challenge.

Manuel Günther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, Mohamad Al Jazaery, Mohammad Iqbal Nouyed, Cezary Stankiewicz, Terrance E. Boult

CoRR, 2017

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

CoRR, 2017

Unconstrained Face Detection and Open-Set Face Recognition Challenge.

Manuel Günther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, Mohamad Al Jazaery, Mohammad Iqbal Nouyed, Guodong Guo, Cezary Stankiewicz, Terrance E. Boult

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Finding Tiny Faces.

Peiyun Hu, Deva Ramanan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians.

Peiyun Hu, Deva Ramanan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Bottom-up and top-down reasoning with convolutional latent-variable models.

Peiyun Hu, Deva Ramanan

CoRR, 2015

2012

Understanding the emotional impact of images.

Xiaohui Wang, Jia Jia, Peiyun Hu, Sen Wu, Jie Tang, Lianhong Cai

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Can we understand van gogh's mood?: learning to infer affects from images in social networks.

Jia Jia, Sen Wu, Xiaohui Wang, Peiyun Hu, Lianhong Cai, Jie Tang

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012