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

7 citations · 7 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

SCALPEL: Semantic Cross-modal Alignment via LLM-Powered Encoder Learning for Medical Vision-Language Representation

Yunzhan Fu, Enyu Bao, Xiangyu Shen +4

Vision-language pre-training (VLP) serves as a cornerstone for medical multimodal representation learning. However, existing medical VLP frameworks are often constrained by the lim…

cs.CV2026

Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation

Yihao Wu, Chenyi Xu, Liqi Yan +6

Vision-and-Language Navigation in continuous environments (VLN-CE) requires an agent to ground language in egocentric observations and plan in unseen scenes. Although recent multim…

cs.CV2026

LongDPM: Overlap-Aware 4D Reconstruction from Long Monocular Videos

Chenyi Xu, Yihao Wu, Liqi Yan +4

Recovering a dynamic 3D scene from a long monocular video is crucial for dense geometry, camera motion, and temporal correspondence to remain consistent in a shared coordinate syst…

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…