Activities and Other Information:

08/2021 - 07/2022

1. Area Chair, CVPR 2022.
2. Reviewer: AAAI'22
3. [Apr 2021]: Organizing an ICCV'21 workshop on "Physics-based Vision Meets Deep Learning": [URL]

08/2020 - 07/2021

1. [Jul 2021]: Odometry paper accepted in IROS'21
2. [May 2021]: Video deraining paper accepted in TPAMI'21.
3. Teaching: YSC2229: Intro to Data Structures and Algorithms (Sem2)
4. Teaching: YSC4216: Machine Learning (Sem1)
5. Teaching: EE2211: Introduction to Machine Learning (Sem2, Tutorials)
6. Reviewer: ACCV'20 | AAAI'21 | CVPR'21 | ICCV'21 | NIPS'21 | ICLR'22 | ISMAR'21 | UIST'21
7. Reviewer: CVIU | TIP | TPAMI | IJCV
8. Thesis Committee: 2 PhD students
9. MINDEF's FR-SG Workshop: Invited Talk (2020/20/12)
10. Papers: ACCV'20 (one) | 3DV'20 (one) | AAAI'21 (one) | CVPR'21 (three) | Gastrointestinal Endoscopy (one) | TPAMI (one) | IROS'21 (one)
11. YNC: DEC Chair (3x)
12. YNC: Capstone facilitator/moderator
13. YNC: DS Search Committee -- 6/2021
14. YNC: CS Search Committee -- 9/2020
15. ECE: SAMI Search Committee
16. Projects (PI): MOE-T2, DSO, Huawei
17. Projects (co-PI): N-CRiPT, NUH
18. PhD Supervision: Aashish Sharma | Yan Wending | Cheng Yu | Lu Liu | Jin Yenying | Xin Yang (Jeremy)
19. MSc Supervision: Zhang Haoli (MSc Project) | Li Yuan (RA)
20. FYP: Ng Yin Zhi
21. [26-4-2021]: Congratulations to Ng Yin Zhi for receiving FYP Merit Award'21
22. Collaborations: Wang Jiahao | Yan Wenhan
23. Invited talk in SGINNOVATE on "Human 3D Poses from Video": [URL]
24. Invited talk in a workshop in CVPR21 "Vision for All Seasons: Bad Weather and Nighttime"
25. Co-organizing a workshop in CVPR'21: "Vision for All Seasons: Bad Weather and Nighttime": website
26. Co-organizing a workshop in ICCV'2021: "Physics-based Vision Meets Deep Learning (PBDL)"

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08/2019 - 07/2020

1. Our paper published in ''Radiology: Artificial Intelligence'' journal was selected as the editors' choice 2019: website
2. Industrial Collaborations: Tencent | Huawei
3. Research Funded Projects: [YNC SUG | ACIP | N-CRiPT | MOE-T2] | Tencent | Huawei
4. HealthTech Webinar (May 2020)
5. Guest editor of IJCV special issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions".
6. Co-organizing a workshop in CVPR'20: "Vision for All Seasons: Bad Weather and Nighttime": website
7. Co-organizing a workshop in ICCV'19: "Physics-based Vision Meets Deep Learning (PBDL)": [Website]
8. ICCV'19 Tutorial on "From Image Restoration to Enhancement and Beyond": website.
9. Reviewer: TPAMI | IJCV | AAAI'20 | CVPR'20 | ECCV'20 | NIPS'20
10. YNC: MCS faculty/Computer-Scientist search committee: 1 time
11. ECE: Faculty search committee: 2 times
12. PhD Examiner: [Sun Min -- NUS/Mechanobiology Institute]
13. PhD Supervision: Li Ruoteng | Aashish Sharma | Yan Wending | Cheng Yu | Lu Liu | Jin Yenying
14. Master Project Supervision: Chen Yiming | Deng Yue | Yao Jiaoyang | Zhou Xiyao
15. Visiting PhD Students: Yuan Liu | Xu Lu
16. Publication: MICCAI'19: 1 | ICCV'19: 2 | AAAI'20: 1 | CVPR'20: 3 | TPAMI: 1 | ECCV'20: 2

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08/2018 - 07/2019

1. Industrial Collaboration: Tencent
2. Research Funded Projects: [YNC SUG | ACIP | N-CRiPT | T-Lab]
3. Co-organizing a workshop in CVPR'19: "Vision for All Seasons: Bad Weather and Nighttime": [Website]
4. Tutorial Chair: MVA (Machine Vision Applications) 2019 [Website]
5. Area Chair: Pacific-Rim Symposium on Image and Video Technology (PSIVT): [Website]
6. Reviewer: CVPR'19 | ICCV'19 | TPAMI | IJCV | TIP | ICCV'19 - eHeritage 2019
7. YNC: MCS faculty/Data-Scientist search committee
8. YNC: Major Advisee 2019/2020: Sambhav Bhandari, Daniel Maung, Sunwoo Nam, Khwa Zhong Xuan.
9. PhD Examiner: [Pan Liang -- NUS/ME] [Liew Junhao -- NUS/ECE] [ Zhao Jian -- NUS/ECE] [Xu Bingjie-- NUS/SOC] [Chang Shuning -- NUS/ECE]
10. NUS Master Projects: [Yao Yuan | Chen Yizhao | Chen Yanchao | Fang Xiaoxian]
11. NUS FYP: [Dexter Ong]
12. YNC: 2018/2019 Capstone project supervision: [Taha Tehseen | Alexia Davidson | Cao Jinglu]
13. Publication: TPAMI: 1 | Radiology: AI: 1 | ArXiv: 3 | CVPR: 1

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08/2017-07/2018

1. ACCV 2018 Area Chair [website]
2. ACCV 2018 Tutorial Organizer and Speaker: "Classic vs Deep Vision: What is beyong deep learning in computer vision? The single image artefacts removal case" [website]
3. Reviewer: [CVPR'2018 | TPAMI | IJCV | SIGGRAPH'18 | ICRA'18]
4. PhD Examiner: [Tong Shen -- Adelaide University] [ Xiaojie -- NUS]
5. Research Projects: [YNC SUG | ACIP | N-CRiPT | SeSaMe]
6. Publications: [CVPR: 1 | ECCV: 1 | ACCV: 1 | TSCVT: 1 | ArXiv: 1]
7. YNC: Yale-NUS Data Science: Advisor | Datathon'18 Judge

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