Dangwei Li

Orcid: 0000-0001-5252-9174

According to our database1, Dangwei Li authored at least 15 papers between 2015 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Deep Video Understanding with a Unified Multi-Modal Retrieval Framework.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Deeply Exploit Visual and Language Information for Social Media Popularity Prediction.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
Exploring Visual-Audio Composition Alignment Network for Quality Fashion Retrieval in Video.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Bottom-Up Foreground-Aware Feature Fusion for Person Search.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Weakly Supervised Learning with Side Information for Noisy Labeled Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios.
IEEE Trans. Image Process., 2019

Design and experiment of vibratory harvesting mechanism for Chinese hickory nuts based on orthogonal eccentric masses.
Comput. Electron. Agric., 2019

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

2018
Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Adversarially Occluded Samples for Person Re-Identification.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization.
CoRR, 2016

A Richly Annotated Dataset for Pedestrian Attribute Recognition.
CoRR, 2016

2015
Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015


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