Xinshuo Weng
Xinshuo Weng
Robotics Institute, School of Computer Science, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
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
1192018
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud
X Weng, K Kitani
IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2019
642019
Deep Reinforcement Learning for Autonomous Driving
S Wang, D Jia, X Weng
arXiv preprint arXiv:1811.11329, 2018
532018
A Baseline for 3D Multi-Object Tracking
X Weng, K Kitani
arXiv preprint arXiv:1907.03961, 2019
502019
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, 2016
34*2016
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
192020
Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling
X Weng, Y Yuan, K Kitani
arXiv preprint arXiv:2003.07847, 2020
192020
GroundNet: Monocular Ground Plane Normal Estimation with Geometric Consistency
Y Man, X Weng, X Li, K Kitani
ACM International Conference on Multimedia (ACM-MM), 2170-2178, 2019
18*2019
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading
X Weng, K Kitani
British Machine Vision Conference (BMVC), 2019
17*2019
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
162020
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision
X Weng, S Wu, F Beainy, KM Kitani
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1084-1092, 2018
152018
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
122019
Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges
A Manglik, X Weng, E Ohn-Bar, KM Kitani
arXiv preprint arXiv:1903.09102, 2019
102019
Learning Shape Representations for Clothing Variations in Person Re-Identification
YJ Li, Z Luo, X Weng, KM Kitani
arXiv preprint arXiv:2003.07340, 2020
92020
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
72020
When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous
X Sun, X Weng, K Kitani
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
72020
Joint Detection and Multi-Object Tracking with Graph Neural Networks
Y Wang, X Weng, K Kitani
arXiv preprint arXiv:2006.13164, 2020
72020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
X Weng, Y Wang, Y Man, K Kitani
arXiv preprint arXiv:2006.07327, 2020
7*2020
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
7*2020
Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting
X Weng, J Wang, S Levine, K Kitani, N Rhinehart
arXiv preprint arXiv:2003.08376, 2020
72020
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Articles 1–20