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