Kong, Shu

Educational Background

- Visual Perception and Learning in an Open World
- Computer Vision (CV)
- Applied Machine Learning (ML)
- Applications of CV/ML to broad areas (e.g., robotics and HCI) and interdisciplinary research (e.g., palynology, paleoecology, etc.)

Best Paper / Marr Prize (Honorable Mention) at the International Conference on Computer Vision, 2021
Bob & Barbara Kleist Endowed Graduate Fellowship, 2019
Google Graduate Student Award, 2017

Z. Lin, D. Pathak, Y.X. Wang, D. Ramanan, S. Kong, "Learning with an Evolving Class Ontology", Conference on Neural Information Processing Systems (NeurIPS), 2022.
Y.T. Chen, J. Shi, Z. Ye, C. Mertz, D. Ramanan, S. Kong, "Multimodal Object Detection via Probabilistic Ensembling", European Conference on Computer Vision (ECCV), 2022.
S. Kong and D. Ramanan, "Opengan: Open-set recognition via open data generation", International Conference on Computer Vision (ICCV), 2021.
I. Romero, S. Kong, et al. "Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy", Proceedings of the National Academy of Sciences (PNAS), 2020.
S. Kong and C. Fowlkes, "Recurrent pixel embedding for instance grouping", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.