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Jie Li 0031
Person information
- affiliation: Toyota Research Institute (TRI)
Other persons with the same name
- Jie Li — disambiguation page
- Jie Li 0001
— Xidian University, School of Electronic Engineering, Xi'an, China
- Jie Li 0002
- Jie Li 0003 — University of Virginia, Charlottesville, VA, USA
- Jie Li 0004 — Stevens Institute of Technology, Hoboken, NJ, USA
- Jie Li 0005 — City University of New York, NY, USA
- Jie Li 0006
- Jie Li 0007
- Jie Li 0008
- Jie Li 0009
- Jie Li 0010
- Jie Li 0011
- Jie Li 0012
- Jie Li 0013
- Jie Li 0014 — Drexel University, Department of Computer Science, Philadelphia, PA, USA
- Jie Li 0015
- Jie Li 0016
- Jie Li 0017
- Jie Li 0018
- Jie Li 0019
- Jie Li 0020
- Jie Li 0021
- Jie Li 0022
- Jie Li 0023
- Jie Li 0024
- Jie Li 0025
- Jie Li 0026
- Jie Li 0027
- Jie Li 0028
- Jie Li 0029 — Dalian University of Technology, School of Software, China (and 1 more)
- Jie Li 0030 — Harbin Institute of Technology, Microelectronics Center, China
- Jie Li 0032 — Kwai, Beijing, China (and 1 more)
- Jie Li 0033
- Jie Li 0034
- Jie Li 0035
- Jie Li 0036
- Jie Li 0037
- Jie Li 0038
- Jie Li 0039
- Jie Li 0040
- Jie Li 0041
- Jie Li 0042
- Jie Li 0043
- Jie Li 0044
- Jie Li 0045
- Jie Li 0046
- Jie Li 0047
- Jie Li 0048
- Jie Li 0049
- Jie Li 0050
- Jie Li 0051
- Jie Li 0052
- Jie Li 0053
- Jie Li 0054
- Jie Li 0055
- Jie Li 0056
- Jie Li 0057
- Jie Li 0058
- Jie Li 0059
- Jie Li 0060
- Jie Li 0061
- Jie Li 0062
- Jie Li 0063
- Jie Li 0064
- Jie Li 0065
- Jie Li 0066
- Jie Li 0067
- Jie Li 0068
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2020 – today
- 2023
- [c18]Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon:
Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR 2023: 9213-9222 - [c17]Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang:
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CVPR 2023: 17928-17938 - [c16]Pavel Tokmakov, Jie Li, Adrien Gaidon:
Breaking the "Object" in Video Object Segmentation. CVPR 2023: 22836-22845 - [c15]Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki:
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? ICRA 2023: 2759-2765 - [c14]Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon:
Depth Is All You Need for Monocular 3D Detection. ICRA 2023: 7024-7031 - [i21]Ziqi Pang, Jie Li, Pavel Tokmakov, Dian Chen, Sergey Zagoruyko, Yu-Xiong Wang:
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking. CoRR abs/2302.03802 (2023) - [i20]Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon:
Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR abs/2303.14548 (2023) - 2022
- [c13]Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas:
SpOT: Spatiotemporal Modeling for 3D Object Tracking. ECCV (38) 2022: 639-656 - [c12]Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon:
Object Permanence Emerges in a Random Walk along Memory. ICML 2022: 21506-21519 - [i19]Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon:
Object Permanence Emerges in a Random Walk along Memory. CoRR abs/2204.01784 (2022) - [i18]Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki:
A Simple Baseline for BEV Perception Without LiDAR. CoRR abs/2206.07959 (2022) - [i17]Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas:
SpOT: Spatiotemporal Modeling for 3D Object Tracking. CoRR abs/2207.05856 (2022) - [i16]Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon:
Depth Is All You Need for Monocular 3D Detection. CoRR abs/2210.02493 (2022) - [i15]Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg:
ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking. CoRR abs/2211.03919 (2022) - [i14]Pavel Tokmakov, Jie Li, Adrien Gaidon:
Breaking the "Object" in Video Object Segmentation. CoRR abs/2212.06200 (2022) - 2021
- [c11]Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon:
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation. CVPR 2021: 14413-14423 - [c10]Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon:
Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV 2021: 3122-3132 - [c9]Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon:
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV 2021: 8517-8527 - [c8]Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon:
Learning to Track with Object Permanence. ICCV 2021: 10840-10849 - [c7]Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. ICRA 2021: 14227-14233 - [i13]Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon:
Learning to Track with Object Permanence. CoRR abs/2103.14258 (2021) - [i12]Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon:
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR abs/2103.16694 (2021) - [i11]Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon:
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation. CoRR abs/2106.04555 (2021) - [i10]Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon:
Is Pseudo-Lidar needed for Monocular 3D Object detection? CoRR abs/2108.06417 (2021) - 2020
- [c6]Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation From Dense Detections. CVPR 2020: 8520-8529 - [c5]Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon:
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR 2020 - [c4]Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. IROS 2020: 2007-2013 - [i9]Hsu-Kuang Chiu, Antonio Prioletti, Jie Li, Jeannette Bohg:
Probabilistic 3D Multi-Object Tracking for Autonomous Driving. CoRR abs/2001.05673 (2020) - [i8]Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon:
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR abs/2002.12319 (2020) - [i7]Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. CoRR abs/2008.01179 (2020) - [i6]Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg:
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. CoRR abs/2012.13755 (2020)
2010 – 2019
- 2019
- [c3]Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL 2019: 503-512 - [c2]Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon:
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL 2019: 1052-1061 - [c1]Kuan-Hui Lee, Germán Ros, Jie Li, Adrien Gaidon:
SPIGAN: Privileged Adversarial Learning from Simulation. ICLR (Poster) 2019 - [i5]Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon:
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR abs/1910.01764 (2019) - [i4]Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR abs/1910.01765 (2019) - [i3]Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon:
Real-Time Panoptic Segmentation from Dense Detections. CoRR abs/1912.01202 (2019) - 2018
- [i2]Kuan-Hui Lee, Germán Ros, Jie Li, Adrien Gaidon:
SPIGAN: Privileged Adversarial Learning from Simulation. CoRR abs/1810.03756 (2018) - [i1]Jie Li, Allan Raventos, Arjun Bhargava, Takaaki Tagawa, Adrien Gaidon:
Learning to Fuse Things and Stuff. CoRR abs/1812.01192 (2018)
Coauthor Index
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