Jie Li

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 37

Top Topics

Object Tracking

Semantic Segmentation

Appearance Features

Top Venues

Publications

Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR (2023)
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 (2023)
Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
Depth Is All You Need for Monocular 3D Detection. ICRA (2023)
Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? ICRA (2023)
Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR (2023)
Tara Sadjadpour, Jie Li, Rares Ambrus, Jeannette Bohg
ShaSTA: Modeling Shape and 0031Spatio-Temporal Affinities for 3D Multi-Object Tracking. CoRR (2022)
Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
A Simple Baseline for BEV Perception Without LiDAR. CoRR (2022)
Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
Depth Is All You Need for Monocular 3D Detection. CoRR (2022)
Pavel Tokmakov, Jie Li, Adrien Gaidon
Breaking the "Object" in Video Object Segmentation. CoRR (2022)
Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
Object Permanence Emerges in a Random Walk along Memory. CoRR (2022)
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 (2022)
Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
Object Permanence Emerges in a Random Walk along Memory. ICML (2022)
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)
Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV (2021)
Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation. CoRR (2021)
Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation. CVPR (2021)
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
Is Pseudo-Lidar needed for Monocular 3D Object detection? CoRR (2021)
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV (2021)
Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
Learning to Track with Object Permanence. ICCV (2021)
Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
Learning to Track with Object Permanence. CoRR (2021)
Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. ICRA (2021)
Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR (2021)
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR (2020)
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR (2020)
Hsu-Kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving. CoRR (2020)
Hsu-Kuang Chiu, Antonio Prioletti, Jie Li, Jeannette Bohg
Probabilistic 3D Multi-Object Tracking for Autonomous Driving. CoRR (2020)
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)
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)
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 (2020)
Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR (2019)
Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR (2019)
Kuan-Hui Lee, Germán Ros, Jie Li, Adrien Gaidon
SPIGAN: Privileged Adversarial Learning from Simulation. ICLR (Poster) (2019)
Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL (2019)
Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL (2019)
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 (2019)
Kuan-Hui Lee, Germán Ros, Jie Li, Adrien Gaidon
SPIGAN: Privileged Adversarial Learning from Simulation. CoRR (2018)
Jie Li, Allan Raventos, Arjun Bhargava, Takaaki Tagawa, Adrien Gaidon
Learning to Fuse Things and Stuff. CoRR (2018)