Sotabase

Career

· Associate Professor, Princeton University2017–
· Postdoctoral Researcher, Carnegie Mellon University2015–2017
· PhD in Computer Science, Stanford University2015–
· B.S. in Mathematics, Stanford University2007–
· MS in Computer Science, Stanford University2007–

Publications (99)

ImageNet Large Scale Visual Recognition Challenge
International Journal of Computer Vision · 2014
41,744
cited
End-to-End Learning of Action Detection from Frame Glimpses in Videos
Computer Vision and Pattern Recognition · 2015
622
cited
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
International Journal of Computer Vision · 2015
456
cited
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Computer Vision and Pattern Recognition · 2019
411
cited
Human Uncertainty Makes Classification More Robust
IEEE International Conference on Computer Vision · 2019
345
cited
Scalable multi-label annotation
International Conference on Human Factors in Computing Systems · 2014
173
cited
Understanding and Evaluating Racial Biases in Image Captioning
IEEE International Conference on Computer Vision · 2021
161
cited
A Study of Face Obfuscation in ImageNet
International Conference on Machine Learning · 2021
159
cited
HIVE: Evaluating the Human Interpretability of Visual Explanations
European Conference on Computer Vision · 2021
131
cited
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
Neural Information Processing Systems · 2022
120
cited
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
Neural Information Processing Systems · 2020
101
cited
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition
Neural Information Processing Systems · 2023
52
cited
Autonomous operation of novel elevators for robot navigation
IEEE International Conference on Robotics and Automation · 2010
51
cited
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
Neural Information Processing Systems · 2024
46
cited
Towards Unique and Informative Captioning of Images
European Conference on Computer Vision · 2020
38
cited
Boundary Guided Learning-Free Semantic Control with Diffusion Models
Neural Information Processing Systems · 2023
36
cited
Gender Artifacts in Visual Datasets
IEEE International Conference on Computer Vision · 2022
36
cited
Learning to Learn from Noisy Web Videos
Computer Vision and Pattern Recognition · 2017
32
cited
A Steiner tree approach to efficient object detection
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2010
30
cited
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies
International Conference on Human Factors in Computing Systems · 2025
29
cited
Sotabase