Robby T. Tan
Associate Professor
Yale-NUS College
Also, Electrical and Computer Engineering, NUS
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Professional Activities:
08/2021 - 07/2022
Area Chair, CVPR 2022.
Reviewer: AAAI'22 | ICLR'22 | ICML'22
[Apr 2021]: Organizing an ICCV'21 workshop on "Physics-based Vision Meets Deep Learning": [
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[Oct 2021]: Invited talk on Image Restoration in ICCVW'21: [
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[Jul 2021]: Soft-shadow removal paper accepted in ICCV'21
08/2020 - 07/2021
[Jul 2021]: Odometry paper accepted in IROS'21
[May 2021]: Video deraining paper accepted in TPAMI'21.
Teaching: YSC2229: Intro to Data Structures and Algorithms (Sem2)
Teaching: YSC4216: Machine Learning (Sem1)
Teaching: EE2211: Introduction to Machine Learning (Sem2, Tutorials)
Reviewer: ACCV'20 | AAAI'21 | CVPR'21 | ICCV'21 | NuerIPS'21 | ISMAR'21 | UIST'21
Reviewer: CVIU | TIP | TPAMI | IJCV
Thesis Committee: 2 PhD students
MINDEF's FR-SG Workshop: Invited Talk (2020/20/12)
Papers: ACCV'20 (one) | 3DV'20 (one) | AAAI'21 (one) | CVPR'21 (three) | Gastrointestinal Endoscopy (one) | TPAMI (one) | IROS'21 (one)
YNC: DEC Chair (3x)
YNC: Capstone facilitator/moderator
YNC: DS Search Committee -- 6/2021
YNC: CS Search Committee -- 9/2020
ECE: SAMI Search Committee
Projects (PI): MOE-T2, DSO, Huawei
Projects (co-PI): N-CRiPT, NUH
PhD Supervision: Aashish Sharma | Yan Wending | Cheng Yu | Lu Liu | Jin Yenying | Xin Yang (Jeremy)
MSc Supervision: Zhang Haoli (MSc Project) | Li Yuan (RA)
FYP: Ng Yin Zhi
[26-4-2021]: Congratulations to Ng Yin Zhi for receiving FYP Merit Award'21
Collaborations: Wang Jiahao | Yan Wenhan
Invited talk in SGINNOVATE on "Human 3D Poses from Video": [
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Invited talk in a workshop in CVPR21 "Vision for All Seasons: Bad Weather and Nighttime"
Co-organizing a workshop in CVPR'21: "Vision for All Seasons: Bad Weather and Nighttime":
website
Co-organizing a workshop in ICCV'2021: "Physics-based Vision Meets Deep Learning (PBDL)"
08/2019 - 07/2020
Our paper published in ''Radiology: Artificial Intelligence'' journal was selected as the editors' choice 2019:
website
Industrial Collaborations: Tencent | Huawei
Research Funded Projects: [YNC SUG | ACIP | N-CRiPT | MOE-T2] | Tencent | Huawei
HealthTech Webinar (May 2020):
Website - Recording
Guest editor of IJCV special issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions".
Co-organizing a workshop in CVPR'20: "Vision for All Seasons: Bad Weather and Nighttime":
website
Co-organizing a workshop in ICCV'19: "Physics-based Vision Meets Deep Learning (PBDL)": [
Website
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ICCV'19 Tutorial on "From Image Restoration to Enhancement and Beyond":
website
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Reviewer: TPAMI | IJCV | AAAI'20 | CVPR'20 | ECCV'20 | NIPS'20
YNC: MCS faculty/Computer-Scientist search committee: 1 time
ECE: Faculty search committee: 2 times
PhD Examiner: [Sun Min -- NUS/Mechanobiology Institute]
PhD Supervision: Li Ruoteng | Aashish Sharma | Yan Wending | Cheng Yu | Lu Liu | Jin Yenying
Master Project Supervision: Chen Yiming | Deng Yue | Yao Jiaoyang | Zhou Xiyao
Visiting PhD Students: Yuan Liu | Xu Lu
Publication: MICCAI'19: 1 | ICCV'19: 2 | AAAI'20: 1 | CVPR'20: 3 | TPAMI: 1 | ECCV'20: 2
08/2018 - 07/2019
Industrial Collaboration: Tencent
Research Funded Projects: [YNC SUG | ACIP | N-CRiPT | T-Lab]
Co-organizing a workshop in CVPR'19: "Vision for All Seasons: Bad Weather and Nighttime": [
Website
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Tutorial Chair: MVA (Machine Vision Applications) 2019 [
Website
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Area Chair: Pacific-Rim Symposium on Image and Video Technology (PSIVT): [
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Reviewer: CVPR'19 | ICCV'19 | TPAMI | IJCV | TIP | ICCV'19 - eHeritage 2019
YNC: MCS faculty/Data-Scientist search committee
YNC: Major Advisee 2019/2020: Sambhav Bhandari, Daniel Maung, Sunwoo Nam, Khwa Zhong Xuan.
PhD Examiner: [Pan Liang -- NUS/ME] [Liew Junhao -- NUS/ECE] [ Zhao Jian -- NUS/ECE] [Xu Bingjie-- NUS/SOC] [Chang Shuning -- NUS/ECE]
NUS Master Projects: [Yao Yuan | Chen Yizhao | Chen Yanchao | Fang Xiaoxian]
NUS FYP: [Dexter Ong]
YNC: 2018/2019 Capstone project supervision: [Taha Tehseen | Alexia Davidson | Cao Jinglu]
Publication: TPAMI: 1 | Radiology: AI: 1 | ArXiv: 3 | CVPR: 1
08/2017-07/2018
ACCV 2018 Area Chair [
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ACCV 2018 Tutorial Organizer and Speaker: "Classic vs Deep Vision: What is beyong deep learning in computer vision? The single image artefacts removal case" [
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Reviewer: [CVPR'2018 | TPAMI | IJCV | SIGGRAPH'18 | ICRA'18]
PhD Examiner: [Tong Shen -- Adelaide University] [ Xiaojie -- NUS]
Research Projects: [YNC SUG | ACIP | N-CRiPT |
SeSaMe
]
Publications: [CVPR: 1 | ECCV: 1 | ACCV: 1 | TSCVT: 1 | ArXiv: 1]
YNC: Yale-NUS Data Science: Advisor | Datathon'18 Judge