Learning to Fuse Things and Stuff. - Jie Li 031; Allan Raventos; Arjun Bhargava; Takaaki Tagawa; Adrien Gaidon (CoRR, 2018)

Two Stream Networks for Self-Supervised Ego-Motion Estimation. - Rares Ambrus; Vitor Guizilini; Jie Li 031; Sudeep Pillai; Adrien Gaidon (CoRL, 2019)

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. - Vitor Guizilini; Jie Li 031; Rares Ambrus; Sudeep Pillai; Adrien Gaidon (CoRL, 2019)

SPIGAN: Privileged Adversarial Learning from Simulation. - Kuan-Hui Lee; Germán Ros; Jie Li 031; Adrien Gaidon (ICLR (Poster), 2019)

Real-Time Panoptic Segmentation From Dense Detections. - Rui Hou 007; Jie Li 031; Arjun Bhargava; Allan Raventos; Vitor Guizilini; Chao Fang; Jerome P. Lynch; Adrien Gaidon (CVPR, 2020)

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. - Vitor Guizilini; Rui Hou 007; Jie Li 031; Rares Ambrus; Adrien Gaidon (ICLR, 2020)

PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. - Kuan-Hui Lee; Matthew Kliemann; Adrien Gaidon; Jie Li 031; Chao Fang; Sudeep Pillai; Wolfram Burgard (IROS, 2020)

Probabilistic 3D Multi-Object Tracking for Autonomous Driving. - Hsu-Kuang Chiu; Antonio Prioletti; Jie Li 031; Jeannette Bohg (CoRR, 2020)

Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation. - Tommi Kerola; Jie Li 031; Atsushi Kanehira; Yasunori Kudo; Alexis Vallet; Adrien Gaidon (CVPR, 2021)

Geometric Unsupervised Domain Adaptation for Semantic Segmentation. - Vitor Guizilini; Jie Li 031; Rares Ambrus; Adrien Gaidon (ICCV, 2021)

Is Pseudo-Lidar needed for Monocular 3D Object detection? - Dennis Park; Rares Ambrus; Vitor Guizilini; Jie Li 031; Adrien Gaidon (ICCV, 2021)

Learning to Track with Object Permanence. - Pavel Tokmakov; Jie Li 031; Wolfram Burgard; Adrien Gaidon (ICCV, 2021)

Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. - Hsu-Kuang Chiu; Jie Li 031; Rares Ambrus; Jeannette Bohg (ICRA, 2021)

SpOT: Spatiotemporal Modeling for 3D Object Tracking. - Colton Stearns; Davis Rempe; Jie Li 031; Rares Ambrus; Sergey Zakharov; Vitor Guizilini; Yanchao Yang 001; Leonidas J. Guibas (ECCV (38), 2022)

Object Permanence Emerges in a Random Walk along Memory. - Pavel Tokmakov; Allan Jabri; Jie Li 031; Adrien Gaidon (ICML, 2022)

A Simple Baseline for BEV Perception Without LiDAR. - Adam W. Harley; Zhaoyuan Fang; Jie Li 031; Rares Ambrus; Katerina Fragkiadaki (CoRR, 2022)

ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking. - Tara Sadjadpour; Jie Li 031; Rares Ambrus; Jeannette Bohg (CoRR, 2022)

Viewpoint Equivariance for Multi-View 3D Object Detection. - Dian Chen 005; Jie Li 031; Vitor Guizilini; Rares Ambrus; Adrien Gaidon (CVPR, 2023)

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. - Ziqi Pang; Jie Li 031; Pavel Tokmakov; Dian Chen 005; Sergey Zagoruyko; Yu-Xiong Wang (CVPR, 2023)

Breaking the "Object" in Video Object Segmentation. - Pavel Tokmakov; Jie Li 031; Adrien Gaidon (CVPR, 2023)

Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? - Adam W. Harley; Zhaoyuan Fang; Jie Li 031; Rares Ambrus; Katerina Fragkiadaki (ICRA, 2023)

Depth Is All You Need for Monocular 3D Detection. - Dennis Park; Jie Li 031; Dian Chen 005; Vitor Guizilini; Adrien Gaidon (ICRA, 2023)