I am a Research Scientist at Google Brain (MTV, CA).
I work on computer vision and machine learning. Recently, I am interested in expanding and enhancing visual representations via vision-language learning.
I obtained my Ph.D. and M.S. at KAIST, advised by Professor In So Kweon. I have been fortunate to collaborate with Adobe Research (2019), Google Brain (2020), and Google Research (2021). I am a recipient of Microsoft Research Asia Fellowship, Qualcomm Innovation Fellowship and Global Ph.D Fellowship from NRF Korea.
mcahny01 [at] gmail.com
mcahny [at] google.com
Googleplex, 1600 Amphitheatre Pkwy, Mountain View, CA 94043
PhD in EE, KAIST, 2022
on "Learning Dense Pixel Features for Video Processing and Understanding"
MS in EE, KAIST, 2018
on "Reducing Human Supervision in Supervised Learning"
BS in EE, KAIST, 2016
Exchange Student Program, 2014
KTH Royal Institute of Technology in Stockholm, Sweden
CVPR 2023 Highlight paper - top 2.5% of submissions
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ICLR 2023
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TIP 2022
Short version at What is Motion For (WIMF) workshop @ ECCV 2022
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CVPR 2022
Ranked #1 on SemKITTI-DVPS, #3 on KITTI-STEP, and #4 on VSPW 2021
Short version at 'Transformers for Vision' workshop @ CVPR 2022
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CVPR 2022 Oral presentation
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WACV 2022
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BMVC 2021
Received Bronze Prize, 27th HumanTech Paper Award, Samsung Electronics Co., Ltd
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CVPR 2021
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WACV 2021
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BMVC 2020 (Acceptance: 195/670 ≈ 29.1%)
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AAAI 2020 (Acceptance: 1591/7737 ≈ 20.6%)
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AAAI 2019 Oral presentation (Acceptance: 459/7095 ≈ 6.5%)
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AAAI 2019 Oral presentation (Acceptance: 459/7095 ≈ 6.5%)
Received Honorable Mention, 25th HumanTech Paper Award, Samsung Electronics Co., Ltd
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MM 2019 (Acceptance: 252/936 ≈ 26.9%)
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MM 2019 (Acceptance: 252/936 ≈ 26.9%)
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NeurIPS 2018 (Acceptance: 1011/4856 ≈ 20.8%)
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WACV 2018
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ICCV 2017 (Acceptance: 621/2143 ≈ 28.9%)
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