Sanghyun Woo
Faculty Fellow @ NYU Computer Science
sanghyun.woo [at] nyu.edu
shwoo1219 [at] gmail.com
[Google Scholar] [CV] [Github] [LinkedIn] [Twitter]
Incoming Senior Research Scientist at Google DeepMind.
Currently, I am a Faculty Fellow of Computer Science at NYU Courant hosted by Prof. Saining Xie.
I received Ph.D. and M.S. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), where I was advised by Prof. In So Kweon. Prior to that, I earned my B.S. degree in electrical computer engineering from Seoul National University (SNU). During my Ph.D. studies, I had the opportunity to intern at Adobe Research (San Jose, CA) and Meta AI (Menlo Park, CA). I am a recipient of both the Microsoft Research Asia PhD Fellowship and the Google Research PhD Fellowship.
My research focuses on designing effective visual models to understand our worlds better and efficient learning frameworks for utilizing data at scale with less human supervision.
(* indicates equal contribution)
2024
Shengbang Tong*, Ellis Brown*, Penghao Wu*, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining XiearXiv, 2024MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark [Paper]
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management [Paper]
2023
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining XieIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023Mask-guided Matting in the Wild [Paper]
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation [Paper]
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation [Paper]
2022
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection [Paper]
Tracking by Associating Clips [Paper]
Dense Pixel-level Interpretation of Dynamic Scenes with Video Panoptic Segmentation [Paper]
Per-Clip Video Object Segmentation [Paper]
2021
Global Context and Geometric Priors for Effective Non-Local Self-Attention [Paper]
Unsupervised Domain Adaptation for Video Semantic Segmentation [Paper]
Deep Multi-Image Steganography with Private Keys [Paper]
Studying the Effects of Self-Attention for Medical Image Analysis [Paper]
LabOr: Labeling Only if Required for Domain Adaptive Semantic Segmentation [Paper]
Learning to Associate Every Segment for Video Panoptic Segmentation [Paper]
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation [Paper]
2020
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation [Paper]
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting [Paper]
Two-Phase Pseudo Label Densification for Self-training based Domain Adaptation [Paper]
Global-and-Local Relative Position Embedding for Unsupervised Video Summarization [Paper]
Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So KweonIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
A Simple and Light-weight Attention Module for Convolutional Neural Networks [Paper]
Recurrent Temporal Aggregaation Framework for Deep Video Inpainting [Paper]
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling [Paper]
Propose-and-Attend Single Shot Detector [Paper]
2019
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation [Paper]
Video Retargeting: Trade-off between Content Preservation and Spatio-temporal Consistency [Paper]
Dahun Kim*, Sanghyun Woo*, Joon-Young Lee, In So KweonIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Gated Bidirectional Feature Pyramid Network for Accurate One Shot Detection [Paper]
Discriminative Feature Learning for Unsupervised Video Summarization [Paper]
2018
LinkNet: Relational Embedding for Scene Graph [Paper]
Sanghyun Woo*, Jongchan Park*, Joon-Young Lee, In So KweonEuropean Conference on Computer Vision (ECCV), 2018
Jongchan Park*, Sanghyun Woo*, Joon-Young Lee, In So KweonBritish Machine Vision Conference (BMVC), 2018 (Oral)Received Gold Prize, 24th HumanTech Paper Award, Samsung Electronics Co., Ltd.
Sanghyun Woo, Soonmin Hwang, In So KweonWinter Conference on Computer Vision (WACV), 2018 (Oral)Received Silver Prize, Best Paper Award, 30th IPIU 2018Received Honorable Mention, 24th HumanTech Paper Award, Samsung Electronics Co., Ltd.
Academic Activities
I serve as a reviewer primarily in the following journals and conferences.
Journal Reviewer
-Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
-International Journal of Computer Vision (IJCV)
-Transactions on Image Processing (TIP)
-Transactions on Machine Learning Research (TMLR)
Conference Reviewer
-Computer Vision: CVPR (2019~), ICCV (2019~), ECCV (2020~)
-Machine Learning: NeurIPS (2020~), ICML (2022~), ICLR (2021~)
Awards & Honors
-Doctoral Consortium CVPR 2023, June 2023
-Qualcomm Innovation Fellowship Award ($4,000), Nov 2021
-Outstanding Reviewer Award, Conference on Neural Information Processing Systems (NeurIPS), Oct 2021
-Google Research PhD Fellowship 2021 - Machine Perception, Speech Technology and Computer Vision, Sep 2021
-Outstanding Reviewer Award, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), May 2021
-Bronze Prize, 27th HumanTech Paper Award, Samsung Electronics Co., Ltd. ($5,000), Feb 2021
-Microsoft Research Asia PhD Fellowship 2020, Nov 2020 [Certificate] [Article]
-KAIST-Samsung Industry-University Cooperation Best Paper Award ($3,000), July 2020
-Honorable Mention, 25th HumanTech Paper Award, Samsung Electronics Co., Ltd. ($2,000), Feb 2019
-NeurIPS 2018 Travel Award, Dec 2018
-1st Place Award in ECCV ChaLearnLAP 2018 Inpainting Challenge – video decaptioning, Sep 2018 [factsheet]
-AI summer school (PAISS 2018), July 2018
-Gold Prize, 24th HumanTech Paper Award, Samsung Electronics Co., Ltd. ($10,000), Feb 2018
-Honorable Mention, 24th HumanTech Paper Award, Samsung Electronics Co., Ltd. ($2,000), Feb 2018
-Silver Prize, Best Paper Award, 30th IPIU 2018, Feb 2018