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Jeff Lichtman

2 accepted papers

2025

ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish

ICLR 2025spotlight

Data-driven benchmarks have led to significant progress in key scientific modeling domains including weather and structural biology. Here, we introduce the Zebrafish Activity Prediction Benchmark (ZAPBench) to measure progress on the problem of predicting cellular-resolution neural activity througho…

2020

Two Stream Active Query Suggestion for Active Learning in Connectomics

ECCV 2020poster

For large-scale vision tasks in biomedical images, the labeled data is often limited to train effective deep models. Active learning is a common solution, where a query suggestion method selects representative unlabeled samples for annotation, and the new labels are used to improve the base model. H…