Towards Problem Solving Agents that Communicate and Learn. - Anjali Narayan-Chen; Colin Graber; Mayukh Das; Md. Rakibul Islam 001; Soham Dan; Sriraam Natarajan; Janardhan Rao Doppa; Julia Hockenmaier; Martha Palmer; Dan Roth 001 (RoboNLP@ACL, 2017)

Deep Structured Prediction with Nonlinear Output Transformations. - Colin Graber; Ofer Meshi; Alexander G. Schwing (NeurIPS, 2018)

Graph Structured Prediction Energy Networks. - Colin Graber; Alexander G. Schwing (NeurIPS, 2019)

Dynamic Neural Relational Inference for Forecasting Trajectories. - Colin Graber; Alexander G. Schwing (CVPR Workshops, 2020)

Dynamic Neural Relational Inference. - Colin Graber; Alexander G. Schwing (CVPR, 2020)

Panoptic Segmentation Forecasting. - Colin Graber; Grace Tsai; Michael Firman; Gabriel J. Brostow; Alexander G. Schwing (CVPR Workshops, 2021)

Joint Forecasting of Panoptic Segmentations with Difference Attention. - Colin Graber; Cyril Jazra; Wenjie Luo 002; Liangyan Gui; Alexander G. Schwing (CVPR Workshops, 2022)

STT: Stateful Tracking with Transformers for Autonomous Driving. - Longlong Jing; Ruichi Yu; Xu Chen; Zhengli Zhao; Shiwei Sheng; Colin Graber; Qi Chen; Qinru Li; Shangxuan Wu; Han Deng; Sangjin Lee; Chris Sweeney; et al. (ICRA, 2024)

STT: Stateful Tracking with Transformers for Autonomous Driving. - Longlong Jing; Ruichi Yu; Xu Chen; Zhengli Zhao; Shiwei Sheng; Colin Graber; Qi Chen; Qinru Li; Shangxuan Wu; Han Deng; Sangjin Lee; Chris Sweeney; et al. (CoRR, 2024)