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Xinshuo Weng
Xinshuo Weng
Research Scientist, NVIDIA Research
Geverifieerd e-mailadres voor nvidia.com - Homepage
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3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
X Weng, J Wang, D Held, K Kitani
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2020
2082020
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud
X Weng, K Kitani
IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 857-866, 2019
2022019
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
X Dong, SI Yu, X Weng, SE Wei, Y Yang, Y Sheikh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 360-368, 2018
1902018
Deep Reinforcement Learning for Autonomous Driving
S Wang, D Jia, X Weng
arXiv preprint arXiv:1811.11329, 2018
1432018
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning
X Weng, Y Wang, Y Man, KM Kitani
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6499-6508, 2020
1332020
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting
Y Yuan, X Weng, Y Ou, K Kitani
IEEE/CVF International Conference on Computer Vision (ICCV), 2021
1212021
A Baseline for 3D Multi-Object Tracking
X Weng, K Kitani
arXiv preprint arXiv:1907.03961, 2019
1112019
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
Y Wang, K Kitani, X Weng
2021 IEEE International Conference on Robotics and Automation (ICRA), 13708 …, 2021
1062021
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading
X Weng, K Kitani
British Machine Vision Conference (BMVC), 2019
722019
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
X Weng, J Wang, D Held, K Kitani
European Conference on Computer Vision (ECCV) Workshops, 2020
412020
Joint Detection and Multi-Object Tracking with Graph Neural Networks
Y Wang, X Weng, K Kitani
arXiv preprint arXiv:2006.13164, 2020
362020
PTP: Parallelized Tracking and Prediction with Graph Neural Networks and Diversity Sampling
X Weng, Y Yuan, K Kitani
IEEE Robotics and Automation Letters 6 (3), 4640-4647, 2021
352021
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
J Cao, X Weng, R Khirodkar, J Pang, K Kitani
arXiv preprint arXiv:2203.14360, 2022
342022
Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling
X Weng, Y Yuan, K Kitani
arXiv preprint arXiv:2003.07847, 2020
332020
4D Forecasting: Sequential Forecasting of 100,000 Points
X Weng, J Wang, S Levine, K Kitani, N Rhinehart
European Conference on Computer Vision (ECCV) Workshops, 2020
32*2020
Learning Shape Representations for Clothing Variations in Person Re-Identification
YJ Li, Z Luo, X Weng, KM Kitani
arXiv preprint arXiv:2003.07340, 2020
322020
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator
N Lee, X Weng, VN Boddeti, Y Zhang, F Beainy, K Kitani, T Kanade
arXiv preprint arXiv:1612.05234, 2018
32*2018
Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges
A Manglik, X Weng, E Ohn-Bar, KM Kitani
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
312019
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting
X Weng, J Wang, S Levine, K Kitani, N Rhinehart
Conference on Robot Learning (CoRL), 2020
292020
Graph Neural Networks for 3D Multi-Object Tracking
X Weng, Y Wang, Y Man, K Kitani
European Conference on Computer Vision (ECCV) Workshops, 2020
27*2020
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Artikelen 1–20