activity
20202023
most citedGrouped Adaptive Loss Weighting for Person Search

7 citations · 15 across the 8 of their papers we have counts for

collaborators

9 papers

hep-ph2023

Predictions of the Strange partner of in the quark delocalization color screening model

Xuejie Liu, Dianyong Chen, Hongxia Huang +1

Inspired by the detection of tetraquark state by LHCb Collaboration, we preform a systemical investigation of the low-lying doubly heavy charm tetraquark states with stran…

cs.RO2023

Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling

Dianwei Chen, Ekim Yurtsever, Keith Redmill +1

Recent research in pedestrian simulation often aims to develop realistic behaviors in various situations, but it is challenging for existing algorithms to generate behaviors that i…

cs.CV2023★ 2 cited

Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking

Ziqi Pang, Jie Li, Pavel Tokmakov +3

This work proposes an end-to-end multi-camera 3D multi-object tracking (MOT) framework. It emphasizes spatio-temporal continuity and integrates both past and future reasoning for t…

cs.CV2022★ 7 cited

Grouped Adaptive Loss Weighting for Person Search

Yanling Tian, Di Chen, Yunan Liu +2

Person search is an integrated task of multiple sub-tasks such as foreground/background classification, bounding box regression and person re-identification. Therefore, person sear…

cs.RO2022

An Error-State Model Predictive Control on Connected Matrix Lie Groups for Legged Robot Control

Sangli Teng, Dianhao Chen, William Clark +1

This paper reports on a new error-state Model Predictive Control (MPC) approach to connected matrix Lie groups for robot control. The linearized tracking error dynamics and the lin…

cs.CV2021★ 4 cited

Keypoint Message Passing for Video-based Person Re-Identification

Di Chen, Andreas Doering, Shanshan Zhang +3

Video-based person re-identification (re-ID) is an important technique in visual surveillance systems which aims to match video snippets of people captured by different cameras. Ex…