activity
20172026
most citedDeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association

128 citations · 207 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

cs.CV2023★ 2 cited

Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

Yuqi Wang, Jiawei He, Lue Fan +3

In autonomous driving, predicting future events in advance and evaluating the foreseeable risks empowers autonomous vehicles to better plan their actions, enhancing safety and effi…

cs.LG2023

AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval

Qi Yan, Raihan Seraj, Jiawei He +2

Machine-based prediction of real-world events is garnering attention due to its potential for informed decision-making. Whereas traditional forecasting predominantly hinges on stru…

cs.CV2023★ 5 cited

Localization-Guided Track: A Deep Association Multi-Object Tracking Framework Based on Localization Confidence of Detections

Ting Meng, Chunyun Fu, Mingguang Huang +4

In currently available literature, no tracking-by-detection (TBD) paradigm-based tracking method has considered the localization confidence of detection boxes. In most TBD-based me…

cs.CV2023

Tracking Objects with 3D Representation from Videos

Jiawei He, Lue Fan, Yuqi Wang +4

Data association is a knotty problem for 2D Multiple Object Tracking due to the object occlusion. However, in 3D space, data association is not so hard. Only with a 3D Kalman Filte…

cs.CV2023

Weakly Supervised 3D Object Detection with Multi-Stage Generalization

Jiawei He, Yuqi Wang, Yuntao Chen +1

With the rapid development of large models, the need for data has become increasingly crucial. Especially in 3D object detection, costly manual annotations have hindered further ad…

cs.CV2023★ 9 cited

You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object Tracking

Xiyang Wang, Chunyun Fu, Jiawei He +6

In the classical tracking-by-detection (TBD) paradigm, detection and tracking are separately and sequentially conducted, and data association must be properly performed to achieve…

cs.CV2023★ 1 cited

3D Video Object Detection with Learnable Object-Centric Global Optimization

Jiawei He, Yuntao Chen, Naiyan Wang +1

We explore long-term temporal visual correspondence-based optimization for 3D video object detection in this work. Visual correspondence refers to one-to-one mappings for pixels ac…

cs.CV2023★ 3 cited

3D Multi-Object Tracking Based on Uncertainty-Guided Data Association

Jiawei He, Chunyun Fu, Xiyang Wang

In the existing literature, most 3D multi-object tracking algorithms based on the tracking-by-detection framework employed deterministic tracks and detections for similarity calcul…

cs.CV2023★ 10 cited

Learnable Graph Matching: A Practical Paradigm for Data Association

Jiawei He, Zehao Huang, Naiyan Wang +1

Data association is at the core of many computer vision tasks, e.g., multiple object tracking, image matching, and point cloud registration. however, current data association solut…