activity
20242026
most citedMetaWild: A Multimodal Dataset for Animal Re-Identification with Environmental Metadata

7 citations · 7 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Generating the Wild: Individual-Consistent Image-to-Video Generation for Wildlife

Yuzhuo Li, Di Zhao, Xinyu Zhang +2

Individual-level wildlife identification often suffers from data scarcity, as varying observations of the same animal under diverse poses, viewpoints, and motions are rarely availa…

cs.CV2026

Advancing Wildlife Conservation through Multimodal Animal Re-Identification with Environmental Metadata

Yuzhuo Li, Di Zhao, Tingrui Qiao +3

Identifying individual animals is crucial for effective wildlife monitoring and conservation efforts. Recent advancements in computer vision have shown promise in animal re-identif…

cs.CV2025

Animal Re-Identification on Microcontrollers

Yubo Chen, Di Zhao, Yun Sing Koh +1

Camera-based animal re-identification (Animal Re-ID) can support wildlife monitoring and precision livestock management in large outdoor environments with limited wireless connecti…

cs.CV2025★ 7 cited

MetaWild: A Multimodal Dataset for Animal Re-Identification with Environmental Metadata

Yuzhuo Li, Di Zhao, Tingrui Qiao +3

Identifying individual animals within large wildlife populations is essential for effective wildlife monitoring and conservation efforts. Recent advancements in computer vision hav…

cs.CV2024

An Individual Identity-Driven Framework for Animal Re-Identification

Yihao Wu, Di Zhao, Jingfeng Zhang +1

Reliable re-identification of individuals within large wildlife populations is crucial for biological studies, ecological research, and wildlife conservation. Classic computer visi…