Jang Hyun (Vincent) Cho
![](assets/images/face.png)
I am a 4th year CS PhD student at UT Austin, advised by Prof. Philipp Krähenbühl. Before I joined UT Austin, I received my Bachelor degree in Computer Science from Cornell University, where I had pleasure working with Prof. Bharath Hariharan and Prof. Kavita Bala.
My current research focus lies in computer vision and machine learning, mainly about object detection, vision-language models, and foundation models. I am particularly interested in scaling up recognition system that readily adapts to various downstream applications.
(Last updated: April. 2024)
News
Feb 27, 2024 | DECOLA has been accepted to CVPR 2024. See you in Seattle! |
---|---|
Sep 18, 2023 | I joined NVIDIA AV Research as a research intern. |
Mar 5, 2023 | PartDistillation has been accepted to CVPR 2023. |
Jul 3, 2022 | ECM-Loss has been accepted to ECCV 2022 as Oral! |
May 23, 2022 | I joined FAIR as a research scientist intern. |
Publications
arXiv
![cubellm teaser](assets/gifs/cubellm_teaser.gif)
CVPR
![](assets/images/decola.png)
CVPR
![](assets/images/part_distillation.png)
arXiv
![](assets/images/nms.png)
ECCV
![](assets/images/ecm_loss.png)
Long-tail Detection with Effective Class-Margins
European Conference on Computer Vision, ECCV
2022, Tel Aviv, Oct 23-27, 2022 (Oral)
CVPR
![](assets/images/picie.png)
PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance
in Clustering
In IEEE Conference on Computer Vision and Pattern Recognition, CVPR
2021, virtual, June 19-25, 2021