7 citations · 10 across the 8 of their papers we have counts for
9 papers
CounterFactual Retrieval for Evidence-Aware Individual Animal Identification
Ankit K. Upadhyay, Aleksandr Algasov, Ekaterina Nepovinnykh +5
Automated identification of individual animals is moving from small curated studies toward shared benchmarks and reusable foundation models. This progress is useful, but current ev…
Centering Ecological Goals in Automated Identification of Individual Animals
Lukas Picek, Timm Haucke, Lukáš Adam +16
Recognizing individual animals over time is central to many ecological and conservation questions, including estimating abundance, survival, movement, and social structure. Recent…
Unsupervised Pelage Pattern Unwrapping for Animal Re-identification
Aleksandr Algasov, Ekaterina Nepovinnykh, Fedor Zolotarev +4
Existing individual re-identification methods often struggle with the deformable nature of animal fur or skin patterns which undergo geometric distortions due to body movement and…
Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens
Alyson East, Elizabeth G. Campolongo, Luke Meyers +25
1) Biological collections house millions of specimens with digital images increasingly available through open-access platforms. However, most imaging protocols were developed for h…
Understanding the Impact of Training Set Size on Animal Re-identification
Aleksandr Algasov, Ekaterina Nepovinnykh, Tuomas Eerola +4
Recent advancements in the automatic re-identification of animal individuals from images have opened up new possibilities for studying wildlife through camera traps and citizen sci…
Combining feature aggregation and geometric similarity for re-identification of patterned animals
Veikka Immonen, Ekaterina Nepovinnykh, Tuomas Eerola +2
Image-based re-identification of animal individuals allows gathering of information such as migration patterns of the animals over time. This, together with large image volumes col…
NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation
Ekaterina Nepovinnykh, Ilia Chelak, Tuomas Eerola +1
We propose a method for Saimaa ringed seal (Pusa hispida saimensis) re-identification. Access to large image volumes through camera trapping and crowdsourcing provides novel possib…
SealID: Saimaa ringed seal re-identification dataset
Ekaterina Nepovinnykh, Tuomas Eerola, Vincent Biard +4
Wildlife camera traps and crowd-sourced image material provide novel possibilities to monitor endangered animal species. However, massive image volumes that these methods produce a…
EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching
Ilia Chelak, Ekaterina Nepovinnykh, Tuomas Eerola +2
In this paper, pelage pattern matching is considered to solve the individual re-identification of the Saimaa ringed seals. Animal re-identification together with the access to larg…