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Xinshuo Weng
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2020 – today
- 2024
- [c27]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. ICLR 2024 - [c26]Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone:
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. ICRA 2024: 4029-4035 - [i38]Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone:
Language-Image Models with 3D Understanding. CoRR abs/2405.03685 (2024) - [i37]Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta:
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. CoRR abs/2406.15349 (2024) - [i36]Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone:
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. CoRR abs/2407.00959 (2024) - [i35]Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - 2023
- [c25]Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl:
Language Conditioned Traffic Generation. CoRL 2023: 2714-2752 - [c24]Jinkun Cao, Jiangmiao Pang, Xinshuo Weng, Rawal Khirodkar, Kris Kitani:
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking. CVPR 2023: 9686-9696 - [c23]Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone
:
Tree-structured Policy Planning with Learned Behavior Models. ICRA 2023: 7902-7908 - [c22]Pasquale Antonante, Sushant Veer, Karen Leung, Xinshuo Weng, Luca Carlone, Marco Pavone:
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles. Robotics: Science and Systems 2023 - [i34]Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone:
Tree-structured Policy Planning with Learned Behavior Models. CoRR abs/2301.11902 (2023) - [i33]Pasquale Antonante, Sushant Veer, Karen Leung, Xinshuo Weng, Luca Carlone, Marco Pavone:
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles. CoRR abs/2305.01870 (2023) - [i32]Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krähenbühl:
Language Conditioned Traffic Generation. CoRR abs/2307.07947 (2023) - [i31]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. CoRR abs/2311.02077 (2023) - [i30]Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone:
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. CoRR abs/2311.04079 (2023) - 2022
- [c21]Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. CoRL 2022: 128-137 - [c20]Xinshuo Weng, Boris Ivanovic, Kris Kitani, Marco Pavone
:
Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. CVPR 2022: 6563-6572 - [c19]Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani:
S2Net: Stochastic Sequential Pointcloud Forecasting. ECCV (27) 2022: 549-564 - [c18]Xinshuo Weng, Boris Ivanovic, Marco Pavone
:
MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation. IV 2022: 1218-1225 - [i29]Jinkun Cao, Xinshuo Weng, Rawal Khirodkar, Jiangmiao Pang, Kris Kitani:
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking. CoRR abs/2203.14360 (2022) - [i28]Cheng-hsin Wuu, Ningyuan Zheng, Scott Ardisson, Rohan Bali, Danielle Belko, Eric Brockmeyer, Lucas Evans, Timothy Godisart, Hyowon Ha, Alexander Hypes, Taylor Koska, Steven Krenn, Stephen Lombardi, Xiaomin Luo, Kevyn McPhail, Laura Millerschoen, Michal Perdoch, Mark Pitts, Alexander Richard, Jason M. Saragih, Junko Saragih, Takaaki Shiratori, Tomas Simon, Matt Stewart, Autumn Trimble, Xinshuo Weng, David Whitewolf, Chenglei Wu, Shoou-I Yu, Yaser Sheikh:
Multiface: A Dataset for Neural Face Rendering. CoRR abs/2207.11243 (2022) - [i27]Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. CoRR abs/2208.00094 (2022) - 2021
- [j2]Xuanyi Dong
, Yi Yang, Shih-En Wei, Xinshuo Weng
, Yaser Sheikh, Shoou-I Yu:
Supervision by Registration and Triangulation for Landmark Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3681-3694 (2021) - [j1]Xinshuo Weng
, Ye Yuan, Kris Kitani:
PTP: Parallelized Tracking and Prediction With Graph Neural Networks and Diversity Sampling. IEEE Robotics Autom. Lett. 6(3): 4640-4647 (2021) - [c17]Jinhyung Park, Xinshuo Weng, Yunze Man, Kris Kitani:
Multi-Modality Task Cascade for 3D Object Detection. BMVC 2021: 298 - [c16]Yan Xu, Yu-Jhe Li, Xinshuo Weng, Kris Kitani:
Wide-Baseline Multi-Camera Calibration Using Person Re-Identification. CVPR 2021: 13134-13143 - [c15]Yunze Man, Xinshuo Weng, Prasanna Kumar Sivakumar, Matthew O'Toole, Kris Kitani:
Multi-Echo LiDAR for 3D Object Detection. ICCV 2021: 3743-3752 - [c14]Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris Kitani:
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting. ICCV 2021: 9793-9803 - [c13]Yu-Jhe Li, Xinshuo Weng, Yan Xu, Kris Kitani:
Visio-Temporal Attention for Multi-Camera Multi-Target Association. ICCV 2021: 9814-9824 - [c12]Yongxin Wang, Kris Kitani, Xinshuo Weng:
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks. ICRA 2021: 13708-13715 - [c11]Yu-Jhe Li, Xinshuo Weng, Kris M. Kitani:
Learning Shape Representations for Person Re-Identification under Clothing Change. WACV 2021: 2431-2440 - [i26]Xuanyi Dong, Yi Yang, Shih-En Wei, Xinshuo Weng, Yaser Sheikh, Shoou-I Yu:
Supervision by Registration and Triangulation for Landmark Detection. CoRR abs/2101.09866 (2021) - [i25]Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris Kitani:
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting. CoRR abs/2103.14023 (2021) - [i24]Yan Xu, Yu-Jhe Li, Xinshuo Weng, Kris Kitani:
Wide-Baseline Multi-Camera Calibration using Person Re-Identification. CoRR abs/2104.08568 (2021) - [i23]Jinhyung Park, Xinshuo Weng, Yunze Man, Kris Kitani:
Multi-Modality Task Cascade for 3D Object Detection. CoRR abs/2107.04013 (2021) - [i22]Yunze Man, Xinshuo Weng, Prasanna Kumar Sivakumar, Matthew O'Toole, Kris Kitani:
Multi-Echo LiDAR for 3D Object Detection. CoRR abs/2107.11470 (2021) - [i21]Xinshuo Weng, Boris Ivanovic, Marco Pavone:
MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation. CoRR abs/2110.09481 (2021) - 2020
- [c10]Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart:
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting. CoRL 2020: 11-20 - [c9]Xinshuo Weng, Yongxin Wang, Yunze Man, Kris M. Kitani:
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning. CVPR 2020: 6498-6507 - [c8]Xinshuo Weng, Jianren Wang, David Held, Kris Kitani:
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics. IROS 2020: 10359-10366 - [c7]Xi Sun, Xinshuo Weng, Kris Kitani:
When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous. IROS 2020: 10408-10415 - [i20]Yu-Jhe Li, Zhengyi Luo, Xinshuo Weng, Kris M. Kitani:
Learning Shape Representations for Clothing Variations in Person Re-Identification. CoRR abs/2003.07340 (2020) - [i19]Xinshuo Weng, Ye Yuan, Kris Kitani:
Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling. CoRR abs/2003.07847 (2020) - [i18]Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, Nicholas Rhinehart:
Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting. CoRR abs/2003.08376 (2020) - [i17]Xinshuo Weng, Yongxin Wang, Yunze Man, Kris Kitani:
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning. CoRR abs/2006.07327 (2020) - [i16]Xi Sun, Xinshuo Weng, Kris Kitani:
When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous. CoRR abs/2006.09959 (2020) - [i15]Yongxin Wang, Xinshuo Weng, Kris Kitani:
Joint Detection and Multi-Object Tracking with Graph Neural Networks. CoRR abs/2006.13164 (2020) - [i14]Xinshuo Weng, Jianren Wang, David Held, Kris Kitani:
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics. CoRR abs/2008.08063 (2020) - [i13]Xinshuo Weng, Yongxin Wang, Yunze Man, Kris Kitani:
Graph Neural Networks for 3D Multi-Object Tracking. CoRR abs/2008.09506 (2020) - [i12]Xinshuo Weng, Ye Yuan, Kris Kitani:
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting. CoRR abs/2008.11598 (2020) - [i11]Xinshuo Weng, Kris Kitani:
AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking. CoRR abs/2012.05894 (2020)
2010 – 2019
- 2019
- [c6]Xinshuo Weng, Kris Kitani:
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading. BMVC 2019: 269 - [c5]Xinshuo Weng, Kris Kitani:
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud. ICCV Workshops 2019: 857-866 - [c4]Aashi Manglik, Xinshuo Weng, Eshed Ohn-Bar, Kris M. Kitani:
Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges. IROS 2019: 8081-8088 - [c3]Yunze Man, Xinshuo Weng, Xi Li
, Kris Kitani:
GroundNet: Monocular Ground Plane Normal Estimation with Geometric Consistency. ACM Multimedia 2019: 2170-2178 - [i10]Aashi Manglik, Xinshuo Weng, Eshed Ohn-Bar, Kris M. Kitani:
Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges. CoRR abs/1903.09102 (2019) - [i9]Xinshuo Weng, Kris Kitani:
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud. CoRR abs/1903.09847 (2019) - [i8]Xinshuo Weng, Kris Kitani:
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading. CoRR abs/1905.02540 (2019) - [i7]Xinshuo Weng, Kris Kitani:
A Baseline for 3D Multi-Object Tracking. CoRR abs/1907.03961 (2019) - 2018
- [c2]Xuanyi Dong, Shoou-I Yu, Xinshuo Weng, Shih-En Wei, Yi Yang, Yaser Sheikh:
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors. CVPR 2018: 360-368 - [c1]Xinshuo Weng, Shangxuan Wu, Fares Beainy, Kris M. Kitani:
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision. WACV 2018: 1084-1092 - [i6]Xuanyi Dong, Shoou-I Yu, Xinshuo Weng, Shih-En Wei, Yi Yang, Yaser Sheikh:
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors. CoRR abs/1807.00966 (2018) - [i5]Yunze Man, Xinshuo Weng, Kris M. Kitani:
GroundNet: Segmentation-Aware Monocular Ground Plane Estimation with Geometric Consistency. CoRR abs/1811.07222 (2018) - [i4]Shangxuan Wu, Xinshuo Weng:
Image Labeling with Markov Random Fields and Conditional Random Fields. CoRR abs/1811.11323 (2018) - [i3]Xinshuo Weng, Wentao Han:
CyLKs: Unsupervised Cycle Lucas-Kanade Network for Landmark Tracking. CoRR abs/1811.11325 (2018) - 2017
- [i2]Xinshuo Weng, Shangxuan Wu, Fares Beainy, Kris Makoto Kitani:
Rotational Rectification Network for Robust Pedestrian Detection. CoRR abs/1706.08917 (2017) - 2016
- [i1]Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti, Yu Zhang, Fares Beainy, Kris M. Kitani, Takeo Kanade:
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator. CoRR abs/1612.05234 (2016)
Coauthor Index
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last updated on 2024-08-27 21:58 CEST by the dblp team
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