Kay, Justin

4 publications

TMLR 2025 Align and Distill: Unifying and Improving Domain Adaptive Object Detection Justin Kay, Timm Haucke, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn

ICCV 2025 Consensus-Driven Active Model Selection Justin Kay, Grant Van Horn, Subhransu Maji, Daniel Sheldon, Sara Beery

NeurIPSW 2023 Unsupervised Domain Adaptation in the Real World: A Case Study in Sonar Video Justin Kay, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn

ECCV 2022 The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona