activity
20162022
most citedTJU-DHD: A Diverse High-Resolution Dataset for Object Detection

89 citations · 204 across the 16 of their papers we have counts for

collaborators

29 papers

cs.CV2022

Reinforced Pedestrian Attribute Recognition with Group Optimization Reward

Zhong Ji, Zhenfei Hu, Yaodong Wang +1

Pedestrian Attribute Recognition (PAR) is a challenging task in intelligent video surveillance. Two key challenges in PAR include complex alignment relations between images and att…

cs.CV2022

PSTR: End-to-End One-Step Person Search With Transformers

Jiale Cao, Yanwei Pang, Rao Muhammad Anwer +4

We propose a novel one-step transformer-based person search framework, PSTR, that jointly performs person detection and re-identification (re-id) in a single architecture. PSTR com…

cs.CV2022

Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework

Yiming Liu, Yanwei Pang, Ruiqi Jin +1

Purpose: Long scan time in phase encoding for forming complete K-space matrices is a critical drawback of MRI, making patients uncomfortable and wasting important time for diagnosi…

cs.CV20212 cited

Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition

Xiyao Liu, Zhong Ji, Yanwei Pang +1

The domain shift between the source and target domain is the main challenge in Cross-Domain Few-Shot Learning (CD-FSL). However, the target domain is absolutely unknown during the…

cs.CV20211 cited

Shape Prior Non-Uniform Sampling Guided Real-time Stereo 3D Object Detection

Aqi Gao, Jiale Cao, Yanwei Pang

Pseudo-LiDAR based 3D object detectors have gained popularity due to their high accuracy. However, these methods need dense depth supervision and suffer from inferior speed. To sol…

cs.CV202089 cited

TJU-DHD: A Diverse High-Resolution Dataset for Object Detection

Yanwei Pang, Jiale Cao, Yazhao Li +3

Vehicles, pedestrians, and riders are the most important and interesting objects for the perception modules of self-driving vehicles and video surveillance. However, the state-of-t…