Can we understand van gogh's mood?: learning to infer affects from images in social networks. - Jia Jia 001; Sen Wu 001; Xiaohui Wang 004; Peiyun Hu; Lianhong Cai; Jie Tang 001 (ACM Multimedia, 2012)

Understanding the emotional impact of images. - Xiaohui Wang 004; Jia Jia 001; Peiyun Hu; Sen Wu 001; Jie Tang 001; Lianhong Cai (ACM Multimedia, 2012)

Bottom-up and top-down reasoning with convolutional latent-variable models. - Peiyun Hu; Deva Ramanan (CoRR, 2015)

Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians. - Peiyun Hu; Deva Ramanan (CVPR, 2016)

Finding Tiny Faces. - Peiyun Hu; Deva Ramanan (CVPR, 2017)

Unconstrained Face Detection and Open-Set Face Recognition Challenge. - Manuel Günther; Peiyun Hu; Christian Herrmann 001; Chi-Ho Chan; Min Jiang 003; Shufan Yang; Akshay Raj Dhamija; Deva Ramanan; Jürgen Beyerer; Josef Kittler; Mohamad Al Jazaery; Mohammad Iqbal Nouyed; et al. (IJCB, 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 001; Chi-Ho Chan; Min Jiang 003; Shufan Yang; Akshay Raj Dhamija; Deva Ramanan; Jürgen Beyerer; Josef Kittler; Mohamad Al Jazaery; Mohammad Iqbal Nouyed; et al. (CoRR, 2017)

Camera-Based Semantic Enhanced Vehicle Segmentation for Planar LIDAR. - Chen Fu; Peiyun Hu; Chiyu Dong; Christoph Mertz; John M. Dolan (ITSC, 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)

Recognizing Tiny Faces. - Siva Chaitanya Mynepalli; Peiyun Hu; Deva Ramanan (ICCV Workshops, 2019)

Active Learning with Partial Feedback. - Peiyun Hu; Zachary C. Lipton; Anima Anandkumar; Deva Ramanan (ICLR (Poster), 2019)

Inferring Distributions Over Depth from a Single Image. - Gengshan Yang; Peiyun Hu; Deva Ramanan (IROS, 2019)

What You See is What You Get: Exploiting Visibility for 3D Object Detection. - Peiyun Hu; Jason Ziglar; David Held; Deva Ramanan (CVPR, 2020)

Active Perception Using Light Curtains for Autonomous Driving. - Siddharth Ancha; Yaadhav Raaj; Peiyun Hu; Srinivasa G. Narasimhan; David Held (ECCV (5), 2020)

Learning to Optimally Segment Point Clouds. - Peiyun Hu; David Held; Deva Ramanan (IEEE Robotics Autom. Lett., 2020)

Safe Local Motion Planning With Self-Supervised Freespace Forecasting. - Peiyun Hu; Aaron Huang; John M. Dolan; David Held; Deva Ramanan (CVPR, 2021)

Differentiable Raycasting for Self-Supervised Occupancy Forecasting. - Tarasha Khurana; Peiyun Hu; Achal Dave; Jason Ziglar; David Held; Deva Ramanan (ECCV (38), 2022)

Robust and Scalable Perception For Autonomy. - Peiyun Hu (2022)

Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting. - Tarasha Khurana; Peiyun Hu; David Held; Deva Ramanan (CVPR, 2023)

CoMotion: Concurrent Multi-person 3D Motion. - Alejandro Newell; Peiyun Hu; Lahav Lipson; Stephan R. Richter; Vladlen Koltun (ICLR, 2025)

Lidar Panoptic Segmentation in an Open World. - Anirudh Srinivasan Chakravarthy; Meghana Reddy Ganesina; Peiyun Hu; Laura Leal-Taixé; Shu Kong; Deva Ramanan; Aljosa Osep (Int. J. Comput. Vis., 2025)