From the 1 of 19 linked papers with an AI index.
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DS@GT ARC at AnimalCLEF 2026: Species-Aware Graph Construction for Multi-Species Animal Re-Identification
Evan Sinclair Smith, Anthony Miyaguchi, Snigdha Palamari +1
Automated individual animal re-identification is essential for large-scale biodiversity monitoring; however, field imagery complicates separating identity cues from nuisance variat…
DINOv3 as a Frozen Encoder for CRPS-Oriented Probabilistic Rainfall Nowcasting
Luciano Araujo Dourado Filho, Almir Moreira da Silva Neto, Anthony Miyaguchi +3
This paper proposes a competitive and computationally efficient approach to probabilistic rainfall nowcasting. A video projector (V-JEPA Vision Transformer) associated to a lightwe…
DS@GT AnimalCLEF: Triplet Learning over ViT Manifolds with Nearest Neighbor Classification for Animal Re-identification
Anthony Miyaguchi, Chandrasekaran Maruthaiyannan, Charles R. Clark
This paper details the DS@GT team's entry for the AnimalCLEF 2025 re-identification challenge. Our key finding is that the effectiveness of post-hoc metric learning is highly conti…
Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification
Jason Kahei Tam, Murilo Gustineli, Anthony Miyaguchi
Accurate identification of fungi species presents a unique challenge in computer vision due to fine-grained inter-species variation and high intra-species variation. This paper pre…
Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification
Murilo Gustineli, Anthony Miyaguchi, Adrian Cheung +1
We describe DS@GT's second-place solution to the PlantCLEF 2025 challenge on multi-species plant identification in vegetation quadrat images. Our pipeline combines (i) a fine-tuned…
Annotation Techniques for Judo Combat Phase Classification from Tournament Footage
Anthony Miyaguchi, Jed Moutahir, Tanmay Sutar
This paper presents a semi-supervised approach to extracting and analyzing combat phases in judo tournaments using live-streamed footage. The objective is to automate the annotatio…