Jie Li - RankMe

39 papers A* 13A 1Misc 2Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Breaking the "Object" in Video Object Segmentation. CVPR Pavel Tokmakov, Jie Li, Adrien Gaidon
2023	A*	`conf`	Depth Is All You Need for Monocular 3D Detection. ICRA Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
2023	A*	`conf`	Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? ICRA Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
2023	A*	`conf`	Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CVPR Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
2023	J	`jnl`	Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CoRR Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang
2023	A*	`conf`	Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
2023	J	`jnl`	Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
2022	J	`jnl`	A Simple Baseline for BEV Perception Without LiDAR. CoRR Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
2022	J	`jnl`	Breaking the "Object" in Video Object Segmentation. CoRR Pavel Tokmakov, Jie Li, Adrien Gaidon
2022	J	`jnl`	Depth Is All You Need for Monocular 3D Detection. CoRR Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
2022	A*	`conf`	Object Permanence Emerges in a Random Walk along Memory. ICML Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
2022	J	`jnl`	Object Permanence Emerges in a Random Walk along Memory. CoRR Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
2022	J	`jnl`	ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking. CoRR Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg
2022	—	`conf`	SpOT: Spatiotemporal Modeling for 3D Object Tracking. ECCV (38) Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
2022	J	`jnl`	SpOT: Spatiotemporal Modeling for 3D Object Tracking. CoRR Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
2021	A*	`conf`	Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
2021	J	`jnl`	Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
2021	A*	`conf`	Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation. CVPR Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
2021	J	`jnl`	Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation. CoRR Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
2021	A*	`conf`	Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
2021	J	`jnl`	Is Pseudo-Lidar needed for Monocular 3D Object detection? CoRR Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
2021	A*	`conf`	Learning to Track with Object Permanence. ICCV Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
2021	J	`jnl`	Learning to Track with Object Permanence. CoRR Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
2021	A*	`conf`	Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. ICRA Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
2020	A	`conf`	PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. IROS Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard
2020	J	`jnl`	PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. CoRR Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard
2020	J	`jnl`	Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. CoRR Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
2020	J	`jnl`	Probabilistic 3D Multi-Object Tracking for Autonomous Driving. CoRR Hsu-Kuang Chiu, Antonio Prioletti, Jie Li, Jeannette Bohg
2020	A*	`conf`	Real-Time Panoptic Segmentation From Dense Detections. CVPR Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
2020	A*	`conf`	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
2020	J	`jnl`	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
2019	J	`jnl`	Real-Time Panoptic Segmentation from Dense Detections. CoRR Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
2019	Misc	`conf`	Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	—	`conf`	SPIGAN: Privileged Adversarial Learning from Simulation. ICLR (Poster) Kuan-Hui Lee, Germán Ros, Jie Li, Adrien Gaidon
2019	Misc	`conf`	Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
2018	J	`jnl`	Learning to Fuse Things and Stuff. CoRR Jie Li, Allan Raventos, Arjun Bhargava, Takaaki Tagawa, Adrien Gaidon
2018	J	`jnl`	SPIGAN: Privileged Adversarial Learning from Simulation. CoRR Kuan-Hui Lee, Germán Ros, Jie Li, Adrien Gaidon