# Tianzhu Zhang

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/tianzhu-zhang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 18,683 |
| Field | Video Surveillance and Tracking Methods |
| h-index | 67 |
| i10-index | 242 |
| Last Known Institution | University of Science and Technology of China |
| OpenAlex ID | https://openalex.org/A5100648981 |
| ORCID iD | https://orcid.org/0000-0003-1856-9564 |
| Works | 466 |

## Researcher papers

- [RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment](https://scholariq.org/papers/rgb-infrared-cross-modality-person-re-identification-via-joint-pixel-and-feature/)
- [The Visual Object Tracking VOT2017 Challenge Results](https://scholariq.org/papers/the-visual-object-tracking-vot2017-challenge-results/)
- [Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification](https://scholariq.org/papers/cross-modality-paired-images-generation-for-rgb-infrared-person-re/)
- [Features, trajectories and driving forces for energy-related GHG emissions from Chinese mega cites: The case of Beijing, Tianjin, Shanghai and Chongqing](https://scholariq.org/papers/features-trajectories-and-driving-forces-for-energy-related-ghg-emissions-from/)

## Researcher topics

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods-2/)
- [Human Pose and Action Recognition](https://scholariq.org/topics/human-pose-and-action-recognition/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

## Researcher university

- [University of Science and Technology of China](https://scholariq.org/institutions/university-of-science-and-technology-of-china/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.