Sotabase

Career

· Intern, Adobe Research
· Senior Research Scientist, Google DeepMind
· Ph.D. and M.S. in Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)
· Intern, Meta AI
· Faculty Fellow in Computer Science, New York University (NYU)
· B.S. in Electrical Computer Engineering, Seoul National University (SNU)

Publications (84)

CBAM: Convolutional Block Attention Module
European Conference on Computer Vision · 2018
21,601
cited
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Computer Vision and Pattern Recognition · 2023
1,368
cited
BAM: Bottleneck Attention Module
British Machine Vision Conference · 2018
1,239
cited
Deep Video Inpainting
Computer Vision and Pattern Recognition · 2019
222
cited
Video Panoptic Segmentation
Computer Vision and Pattern Recognition · 2020
195
cited
LinkNet: Relational Embedding for Scene Graph
Neural Information Processing Systems · 2018
156
cited
Discriminative Feature Learning for Unsupervised Video Summarization
AAAI Conference on Artificial Intelligence · 2018
150
cited
A Simple and Light-Weight Attention Module for Convolutional Neural Networks
International Journal of Computer Vision · 2020
131
cited
Two-Phase Pseudo Label Densification for Self-training Based Domain Adaptation
European Conference on Computer Vision · 2020
122
cited
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2017
97
cited
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
IEEE International Conference on Computer Vision · 2021
67
cited
Global-and-Local Relative Position Embedding for Unsupervised Video Summarization
European Conference on Computer Vision · 2020
66
cited
Per-Clip Video Object Segmentation
Computer Vision and Pattern Recognition · 2022
62
cited
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
ACM Multimedia · 2019
46
cited
Recurrent Temporal Aggregation Framework for Deep Video Inpainting
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2019
45
cited
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
Neural Information Processing Systems · 2021
41
cited
Learning to Associate Every Segment for Video Panoptic Segmentation
Computer Vision and Pattern Recognition · 2021
36
cited
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling
AAAI Conference on Artificial Intelligence · 2020
35
cited
Heterogeneous Target Speech Separation
Interspeech · 2022
33
cited
Studying the Effects of Self-Attention for Medical Image Analysis
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 2021
33
cited
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Sanghyun Woo | Researcher Profile | Sotabase | Sotabase