no code implementations • 8 Oct 2023 • Taewan Kim, Seolyeong Bae, Hyun Ah Kim, Su-woo Lee, Hwajung Hong, Chanmo Yang, Young-Ho Kim
In the mental health domain, Large Language Models (LLMs) offer promising new opportunities, though their inherent complexity and low controllability have raised questions about their suitability in clinical settings.
5 code implementations • CVPR 2023 • Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
Visual anomaly classification and segmentation are vital for automating industrial quality inspection.
Ranked #9 on Anomaly Detection on VisA
1 code implementation • NeurIPS 2019 • Taewan Kim, Joydeep Ghosh
We investigate learning fusion algorithms that are robust against noise added to a single source.
1 code implementation • 20 Nov 2017 • Taewan Kim, Joydeep Ghosh
Pairwise "same-cluster" queries are one of the most widely used forms of supervision in semi-supervised clustering.
1 code implementation • 11 Sep 2017 • Taewan Kim, Joydeep Ghosh
For each weak oracle model, we show that a small query complexity is adequate for the effective $k$ means clustering with high probability.
no code implementations • 26 Sep 2016 • Taewan Kim, Seyeong Kim, Sangil Na, Hayoon Kim, Moonki Kim, Byoung-Ki Jeon
We build a large-scale visual search system which finds similar product images given a fashion item.