collaborators

14 papers

cs.CV2026

Beyond Flat Labels: Level-Restricted Contrastive Learning for Hierarchical Fine-Grained Vision Classification

Zhiyuan Tao, Srikumar Sastry, Matthew J Thompson +9

Multimodal contrastive learning has enabled zero-shot visual classification by aligning images with textual categories. However, in hierarchically structured label spaces, existing…

cs.CV2026

Cross-Modal Corroboration for Annotation-Free Wildlife Monitoring

Bharath Pillai, Varun Viswapriyan, Christopher Stewart +2

Scaling wildlife monitoring for real-world conservation deployments requires automated analysis of smart sensors that operate under severe annotation scarcity. We propose leveragin…

cs.CV2026

Leveraging Latent Visual Reasoning in Silence

Dongyao Zhu, Zhen Wang, Xi Xiao +7

Latent visual reasoning involves visual evidence more directly in multimodal reasoning by inserting continuous latent tokens before textual generation. However, the necessity of th…

cs.CV2026

BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Models

Ziheng Zhang, Xinyue Ma, Arpita Chowdhury +9

This work investigates descriptive captions as an additional source of supervision for biological multimodal foundation models. Images and captions can be viewed as complementary s…

cs.CV2026

A continental-scale dataset of ground beetles with high-resolution images and validated morphological trait measurements

S M Rayeed, Mridul Khurana, Alyson East +18

Despite the ecological significance of invertebrates, global trait databases remain heavily biased toward vertebrates and plants, limiting comprehensive ecological analyses of high…

cs.CV2025

Towards Open-Ended Visual Scientific Discovery with Sparse Autoencoders

Samuel Stevens, Jacob Beattie, Tanya Berger-Wolf +1

Scientific archives now contain hundreds of petabytes of data across genomics, ecology, climate, and molecular biology that could reveal undiscovered patterns if systematically ana…