An Architectural Style for Data-Driven Systems. - Reza Mahjourian (ICSR, 2008)

An approximation algorithm for conflict-aware broadcast scheduling in wireless ad hoc networks. - Reza Mahjourian; Feng Chen 011; Ravi Tiwari; My T. Thai; Hongqiang Zhai; Yuguang Fang (MobiHoc, 2008)

Geometry-based next frame prediction from monocular video. - Reza Mahjourian; Martin Wicke; Anelia Angelova (Intelligent Vehicles Symposium, 2017)

Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints. - Reza Mahjourian; Martin Wicke; Anelia Angelova (CVPR, 2018)

Future Segmentation Using 3D Structure. - Suhani Vora; Reza Mahjourian; Sören Pirk; Anelia Angelova (CoRR, 2018)

Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play. - Reza Mahjourian; Navdeep Jaitly; Nevena Lazic; Sergey Levine; Risto Miikkulainen (CoRR, 2018)

Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos. - Vincent Casser; Sören Pirk; Reza Mahjourian; Anelia Angelova (AAAI, 2019)

Unsupervised Monocular Depth and Ego-Motion Learning With Structure and Semantics. - Vincent Casser; Sören Pirk; Reza Mahjourian; Anelia Angelova (CVPR Workshops, 2019)

Identifying Driver Interactions via Conditional Behavior Prediction. - Ekaterina I. Tolstaya; Reza Mahjourian; Carlton Downey; Balakrishnan Varadarajan; Benjamin Sapp; Dragomir Anguelov (ICRA, 2021)

StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving. - Jinkyu Kim 001; Reza Mahjourian; Scott Ettinger; Mayank Bansal; Brandyn White; Ben Sapp; Dragomir Anguelov (ICRA, 2022)

Instance Segmentation with Cross-Modal Consistency. - Alex Zihao Zhu; Vincent Casser; Reza Mahjourian; Henrik Kretzschmar; Sören Pirk (IROS, 2022)

Revisiting Multi-Scale Feature Fusion for Semantic Segmentation. - Tianjian Meng; Golnaz Ghiasi; Reza Mahjourian; Quoc V. Le; Mingxing Tan (CoRR, 2022)

Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. - Reza Mahjourian; Jinkyu Kim 001; Yuning Chai; Mingxing Tan; Ben Sapp; Dragomir Anguelov (IEEE Robotics Autom. Lett., 2022)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Jonathan Abelian; Saminda Abeyruwan; Michael Ahn; Alex Bewley; Justin Boyd; Krzysztof Choromanski; Omar Cortes; Erwin Coumans; Tianli Ding; Wenbo Gao; Laura Graesser; et al. (CoRR, 2023)

VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions. - Seokha Moon; Hyun Woo; Hongbeen Park; Haeji Jung; Reza Mahjourian; Hyung-Gun Chi; Hyerin Lim; Sangpil Kim; Jinkyu Kim 001 (ECCV (6), 2024)

UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios. - Reza Mahjourian; Rongbing Mu; Valerii Likhosherstov; Paul Mougin; Xiukun Huang; João V. Messias; Shimon Whiteson (ICRA, 2024)

BEVMap: Map-Aware BEV Modeling for 3D Perception. - Mincheol Chang; Seokha Moon; Reza Mahjourian; Jinkyu Kim (WACV, 2024)

Achieving Human Level Competitive Robot Table Tennis. - David B. D'Ambrosio; Saminda Abeyruwan; Laura Graesser; Atil Iscen; Heni Ben Amor; Alex Bewley; Barney J. Reed; Krista Reymann; Leila Takayama; Yuval Tassa; Krzysztof Choromanski; Erwin Coumans; et al. (CoRR, 2024)