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Wah Chiu

3 accepted papers

2025

MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

James Burgess, Jeffrey J Nirschl, Laura Bravo-Sánchez, Alejandro Lozano, Sanket Rajan Gupte, Jesus G. Galaz-Montoya +17
CVPR 2025poster

Scientific research demands sophisticated reasoning over multimodal data, a challenge especially prevalent in biology. Despite recent advances in multimodal large language models (MLLMs) for AI-assisted research, existing multimodal reasoning benchmarks only target up to college-level difficulty, wh…

Cited by 3Source ↗PDF ↗code ↗Scholar ↗
2021

Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations

Joy Hsu, Jeffrey Gu, Gong Her Wu, Wah Chiu, Serena Yeung
NeurIPS 2021poster

We consider the task of representation learning for unsupervised segmentation of 3D voxel-grid biomedical images. We show that models that capture implicit hierarchical relationships between subvolumes are better suited for this task. To that end, we consider encoder-decoder architectures with a hyp…

Cited by 35Source ↗PDF ↗Scholar ↗
2021

DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images

Joy Hsu, Wah Chiu, Serena Yeung
CVPR 2021poster

In the biomedical domain, there is an abundance of dense, complex data where objects of interest may be challenging to detect or constrained by limits of human knowledge. Labelled domain specific datasets for supervised tasks are often expensive to obtain, and furthermore discovery of novel distinct…

Cited by 43PDF ↗code ↗Scholar ↗