Xinshuo Weng
Xinshuo Weng
Robotics Institute, School of Computer Science, Carnegie Mellon University
Verifierad e-postadress på cs.cmu.edu - Startsida
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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/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 360-368, 2018
982018
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud
X Weng, K Kitani
Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2019
372019
Deep Reinforcement Learning for Autonomous Driving
S Wang, D Jia, X Weng
arXiv preprint arXiv:1811.11329, 2018
292018
A Baseline for 3D Multi-Object Tracking
X Weng, K Kitani
arXiv preprint arXiv:1907.03961, 2019
282019
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
27*2016
Forecasting Time-to-Collision from Monocular Video: Feasibility, Dataset, and Challenges
A Manglik, X Weng, E Ohn-Bar, KM Kitani
International Conference on Intelligent Robots and Systems (IROS), 8081-8088, 2019
14*2019
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
13*2019
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision
X Weng, S Wu, F Beainy, KM Kitani
IEEE Winter Conference on Applications of Computer Vision (WACV), 1084-1092, 2018
102018
Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling
X Weng, Y Yuan, K Kitani
arXiv preprint arXiv:2003.07847, 2020
92020
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading
X Weng, K Kitani
British Machine Vision Conference (BMVC), 2019
9*2019
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
52020
Learning Shape Representations for Clothing Variations in Person Re-Identification
YJ Li, Z Luo, X Weng, KM Kitani
arXiv preprint arXiv:2003.07340, 2020
52020
CyLKs: Unsupervised Cycle Lucas-Kanade Network for Landmark Tracking
X Weng, W Han
arXiv preprint arXiv:1811.11325, 2018
42018
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
3*2020
When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous
X Sun, X Weng, K Kitani
International Conference on Intelligent Robots and Systems (IROS), 2020
22020
Joint Detection and Multi-Object Tracking with Graph Neural Networks
Y Wang, X Weng, K Kitani
arXiv preprint arXiv:2006.13164, 2020
22020
Sequential Forecasting of 100,000 Points
X Weng, J Wang, S Levine, K Kitani, N Rhinehart
arXiv preprint arXiv:2003.08376, 2020
22020
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
X Weng, J Wang, D Held, K Kitani
International Conference on Intelligent Robots and Systems (IROS), 2020
12020
Image Labeling with Markov Random Fields and Conditional Random Fields
S Wu, X Weng
arXiv preprint arXiv:1811.11323, 2018
12018
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
2020
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Artiklar 1–20