activity
20182021
most citedSupervision by Registration and Triangulation for Landmark Detection

46 citations · 167 across the 10 of their papers we have counts for

collaborators

26 papers

cs.CV2021

MTP: Multi-Hypothesis Tracking and Prediction for Reduced Error Propagation

Xinshuo Weng, Boris Ivanovic, Marco Pavone

Recently, there has been tremendous progress in developing each individual module of the standard perception-planning robot autonomy pipeline, including detection, tracking, predic…

cs.CV2021

Multi-Echo LiDAR for 3D Object Detection

Yunze Man, Xinshuo Weng, Prasanna Kumar Sivakuma +2

LiDAR sensors can be used to obtain a wide range of measurement signals other than a simple 3D point cloud, and those signals can be leveraged to improve perception tasks like 3D o…

cs.CV20215 cited

Multi-Modality Task Cascade for 3D Object Detection

Jinhyung Park, Xinshuo Weng, Yunze Man +1

Point clouds and RGB images are naturally complementary modalities for 3D visual understanding - the former provides sparse but accurate locations of points on objects, while the l…

cs.CV20213 cited

Wide-Baseline Multi-Camera Calibration using Person Re-Identification

Yan Xu, Yu-Jhe Li, Xinshuo Weng +1

We address the problem of estimating the 3D pose of a network of cameras for large-environment wide-baseline scenarios, e.g., cameras for construction sites, sports stadiums, and p…

cs.AI2021

AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting

Ye Yuan, Xinshuo Weng, Yanglan Ou +1

Predicting accurate future trajectories of multiple agents is essential for autonomous systems, but is challenging due to the complex agent interaction and the uncertainty in each…

cs.CV202146 cited

Supervision by Registration and Triangulation for Landmark Detection

Xuanyi Dong, Yi Yang, Shih-En Wei +3

We present Supervision by Registration and Triangulation (SRT), an unsupervised approach that utilizes unlabeled multi-view video to improve the accuracy and precision of landmark…