Da Li

Orcid: 0000-0001-6822-3989

Affiliations:
  • University of Chinese Academy of Sciences (UCAS), School of Artificial Intelligence, Beijing, China
  • Chinese Academy of Sciences, Institute of Automation, CRIPAC, Beijing, China


According to our database1, Da Li authored at least 12 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Pedestrian Attribute Recognition via Spatio-temporal Relationship Learning for Visual Surveillance.
ACM Trans. Multim. Comput. Commun. Appl., June, 2024

Class Hierarchy-Guided Generalized Few-Shot Ship Detection in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2024

2023
Learning Domain Invariant Representations for Generalizable Person Re-Identification.
IEEE Trans. Image Process., 2023

Incremental Pedestrian Attribute Recognition via Dual Uncertainty-Aware Pseudo-Labeling.
IEEE Trans. Inf. Forensics Secur., 2023

2022
Dual-branch self-attention network for pedestrian attribute recognition.
Pattern Recognit. Lett., 2022

2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification.
CoRR, 2021

2019
ISEE: An Intelligent Scene Exploration and Evaluation Platform for Large-Scale Visual Surveillance.
IEEE Trans. Parallel Distributed Syst., 2019

Large-Scale Pedestrian Retrieval Competition.
CoRR, 2019

Unsupervised Cross-Domain Person Re-Identification: A New Framework.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Comprehensive Study on Large-Scale Person Retrieval in Real Surveillance Scenarios.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2017
Large-Scale Slow Feature Analysis Using Spark for Visual Object Recognition.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
A Large-Scale Distributed Video Parsing and Evaluation Platform.
Proceedings of the Intelligent Visual Surveillance - 4th Chinese Conference, 2016


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