Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks. - Cong Gao 003; Xingtong Liu; Michael Peven; Mathias Unberath; Austin Reiter (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis. - Tae Soo Kim 001; Michael Peven; Weichao Qiu; Alan L. Yuille; Gregory D. Hager (WACV Workshops, 2019)

Action Recognition Using Volumetric Motion Representations. - Michael Peven; Gregory D. Hager; Austin Reiter (CoRR, 2019)

Zero-shot Recognition of Complex Action Sequences. - Jonathan D. Jones; Tae Soo Kim 001; Michael Peven; Jin Bai; Zihao Xiao 001; Yi Zhang 099; Weichao Qiu; Alan L. Yuille; Gregory D. Hager (CoRR, 2019)

Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints. - Pengfei Li 008; Weichao Qiu; Michael Peven; Gregory D. Hager; Alan L. Yuille (CoRR, 2019)

DASZL: Dynamic Action Signatures for Zero-shot Learning. - Tae Soo Kim 001; Jonathan D. Jones; Michael Peven; Zihao Xiao 001; Jin Bai; Yi Zhang 099; Weichao Qiu; Alan L. Yuille; Gregory D. Hager (AAAI, 2021)

Learning from Synthetic Vehicles. - Tae Soo Kim 001; Bohoon Shim; Michael Peven; Weichao Qiu; Alan L. Yuille; Gregory D. Hager (WACV (Workshops), 2022)

PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? - Arnaud Huaulmé; Kanako Harada; Quang-Minh Nguyen; Bogyu Park; Seungbum Hong; Min-Kook Choi; Michael Peven; Yunshuang Li; Yonghao Long 001; Qi Dou 001; Satyadwyoom Kumar; Seenivasan Lalithkumar; et al. (CoRR, 2022)

PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition? - Arnaud Huaulmé; Kanako Harada; Quang-Minh Nguyen; Bogyu Park; Seungbum Hong; Min-Kook Choi; Michael Peven; Yunshuang Li; Yonghao Long 001; Qi Dou 001; Satyadwyoom Kumar; Seenivasan Lalithkumar; et al. (Comput. Methods Programs Biomed., 2023)

Embedding Task Structure for Action Detection. - Michael Peven; Gregory D. Hager (WACV, 2024)