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Xinshuo Weng
Xinshuo Weng
Senior Research Scientist, NVIDIA Research
Bestätigte E-Mail-Adresse bei nvidia.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
4042020
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
3762021
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
J Cao, X Weng, R Khirodkar, J Pang, K Kitani
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
3322023
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
3172019
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
Y Wang, K Kitani, X Weng
IEEE International Conference on Robotics and Automation (ICRA), 13708-13715, 2021
2912021
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
2252020
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
2212018
Deep Reinforcement Learning for Autonomous Driving
S Wang, D Jia, X Weng
arXiv preprint arXiv:1811.11329, 2018
1972018
A Baseline for 3D Multi-Object Tracking
X Weng, K Kitani
arXiv preprint arXiv:1907.03961, 2019
1342019
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
932020
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading
X Weng, K Kitani
British Machine Vision Conference (BMVC), 2019
912019
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
652021
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
502020
Learning Shape Representations for Person Re-Identification under Clothing Change
YJ Li, X Weng, KM Kitani
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2432-2441, 2021
482021
Multiface: A Dataset for Neural Face Rendering
C Wuu, N Zheng, S Ardisson, R Bali, D Belko, E Brockmeyer, L Evans, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023
462023
Learning Shape Representations for Clothing Variations in Person Re-Identification
YJ Li, Z Luo, X Weng, KM Kitani
arXiv preprint arXiv:2003.07340, 2020
432020
Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling
X Weng, Y Yuan, K Kitani
arXiv preprint arXiv:2003.07847, 2020
412020
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
41*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
402019
Supervision by Registration and Triangulation for Landmark Detection
X Dong, Y Yang, SE Wei, X Weng, Y Sheikh, SI Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
392020
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