Risa Shinoda

Orcid: 0009-0006-3965-7933

According to our database1, Risa Shinoda authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment.
CoRR, March, 2026

AnimalCLAP: Taxonomy-Aware Language-Audio Pretraining for Species Recognition and Trait Inference.
CoRR, March, 2026

Zero-shot Hierarchical Plant Segmentation via Foundation Segmentation Models and Text-to-image Attention.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Interaction-via-Actions: Cattle Interaction Detection with Joint Learning of Action-Interaction Latent Space.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
GaussianPlant: Structure-aligned Gaussian Splatting for 3D Reconstruction of Plants.
CoRR, December, 2025

AlignBench: Benchmarking Fine-Grained Image-Text Alignment with Synthetic Image-Caption Pairs.
CoRR, November, 2025

AnimalClue: Recognizing Animals by their Traces.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

AgroBench: Vision-Language Model Benchmark in Agriculture.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized Images.
CoRR, 2024

OpenAnimalTracks: A Dataset for Animal Track Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2024

PetFace: A Large-Scale Dataset and Benchmark for Animal Identification.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploring the Potential of Neural Dataset Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


  Loading...