Yuqi Zhang

Orcid: 0000-0001-7094-3838

Affiliations:
  • Alibaba Group, Machine Intelligence Technology Lab, Beijing, China


According to our database1, Yuqi Zhang authored at least 19 papers between 2015 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
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval.
IEEE Trans. Multim., 2024

2023
Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive Training.
IEEE Trans. Image Process., 2023

Learning Efficient Representations for Image-Based Patent Retrieval.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
Beyond Classifiers: Remote Sensing Change Detection with Metric Learning.
Remote. Sens., 2022

Revisiting instance search: A new benchmark using cycle self-training.
Neurocomputing, 2022

Graph Convolution for Re-Ranking in Person Re-Identification.
Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive Matching Strategy for Multi-Target Multi-Camera Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
2nd Place Solution to Google Landmark Retrieval 2021.
CoRR, 2021

1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking.
CoRR, 2021

An Empirical Study of Vehicle Re-Identification on the AI City Challenge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Cross-View Gait Recognition by Discriminative Feature Learning.
IEEE Trans. Image Process., 2020

1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification.
CoRR, 2020

Multi-Domain Learning and Identity Mining for Vehicle Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A comprehensive study on gait biometrics using a joint CNN-based method.
Pattern Recognit., 2019

2017

Multi-task Deep Learning for Fast Online Multiple Object Tracking.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
What makes for good multiple object trackers?
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

2015
Scene text recognition with deeper convolutional neural networks.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015


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