Scholar
Grant Van Horn
Google Scholar ID: PxYY_nsAAAAJ
UMass, Amherst
Citations & Impact
Citations
6,400
H-index
20
i10-index
29
Publications
20
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted at ICML 2025, NeurIPS 2024, CVPR; Developed applications including Merlin Sound ID, Seek, iNaturalist, Merlin Photo ID; Received honorable mention at NECV.
Research Experience
- Contributed to projects such as Merlin Sound ID, Seek, iNaturalist Computer Vision System, Merlin Photo ID; Spoke or chaired workshops at international conferences like CVPR 2025, NeurIPS 2024.
Education
- PhD: Caltech, 2019, advised by Pietro Perona; Thesis focused on efficient dataset collection through human-in-the-loop systems and fine-grained visual categorization. BS and MS: UCSD, advised by Serge Belongie.
Background
- Research Interests: Intersection of computer vision and machine learning; Professional Area: Crafting real-world ML systems that integrate human expertise, state-of-the-art ML methodologies, and large-scale datasets; Brief Introduction: Assistant Professor at UMass Amherst and visiting researcher at Cornell Lab of Ornithology.
Miscellany
- Personal interests include nature observation, particularly bird identification; Available for industrial consulting covering all aspects of ML system development from data collection to model deployment.
