Professional Activities:

1. [Jul 2024]: Two papers accepted in ECCV'24
2. [May 2024]: Serve as Area Chair of CVPR'24. ECCV'24, NeurIPS'24
3. [Feb 2024]: Two papers accepted in CVPR'24
4. [Dec 2023]: Six papers accepted in AAAI'24

08/2023 - 07/2024

1. [Nov 2023]: Invited to serve as Area Chair ECCV'24
2. [Aug 2023]: Two papers accepted in ICCV'23, one paper in MM'23, and one paper in ACL'23
3. [Aug 2023]: Invited to serve as Area Chair of WACV'24
4. [Aug 2023]: ICCV'23: Session Chair on "Low-level Vision and Theory"
5. [Jul 2023]: EE4212: Revising the syllabus
6. [Jul 2023]: CEG5304 + EE6934: Revising the contents > Change projects to exam
7. [Jul 2023]: One PhD student funded by EDB/IPP - industrial programme
8. [Jul 2023]: Serve as Area Chair of CVPR'24
9. [Jun 2023]: One PhD student internship at Adobe

08/2022 - 07/2023

1. [Jun 2023]: Giving talk at CVPR'23 Workshop on Vision for all Seasons: Adverse Weather and Lighting Conditions
2. [Jun 2023]: Giving talk at A*STAR: Website
3. [Jun 2023]: Invited Talk: HTX's TechXplore
4. [May 2023]: Part of MOE-T3's funded project on Digital Information Resilience
5. [Feb 2023]: Four papers accepted in CVPR'23
6. [Feb 2023]: One PhD student internship at Huawei
7. [Dec 2022]: A paper on intrinsic image accepted in AAAI'23
8. [Nov 2022]: Serving as Area Chair of ICCV'23
9. [Oct 2022]: Serving as Area Chair of CVPR'23
10. [Dec 2022]: Serving as area chair of MVA'23 [URL]
11. [Dec 2022]: Invited Talk: Huawei's Merlion Forum Workshop on "Road to Intelligence: When AI Meets Multimedia".
12. [Oct 2022]: IMDA's invited talk: "Digital Media Trust: From the Perspectives of Low-Level Vision and Human Video Understanding", Oct 27, 2022.
13. [Sep 2022]: ICRL'23 Reviewer
14. [Sep 2022]: DSO Project's IRB is approved
15. [Aug 2022]: MOE TIF Grant: Reviewer
16. [Aug 2022]: IDS faculty affiliate [URL]
17. [Aug 2022]: SAMI Area Director commenced
18. [Jul 2022]: A paper on nighttime enhancement accepted in ECCV'22
19. [Jul 2022]: Fetal project's IRB is approved
20. [Jul 2022]: Invited talk at T-Lab, July 18th
21. [Jul 2022]: ECE Top Performance Researcher: RSB Headcount
22. Reviewer: IJCV | ACCV'22 | AIM'22 | NeurIPS'22 | ICLR'23 | NTIRE'23

08/2021 - 07/2022

1. [Jun 2022]: A paper on video deraining is accepted in IEEE PAMI
2. [Jun 2022]: Invited talk at DSO
3. [Jun 2022]: DEC Chair in MCS
4. [Jun 2022]: SICH project's IRB has been approved
5. [Apr 2022]: A paper on 3D multi-person pose estimation is accepted in IEEE TPAMI.
6. [Apr 2022]: A paper on adherent raindrop removal from video is accepted in IEEE TIP.
7. [Dec 2021]: Organizing a CVPR'22 workshop on Vision for All Seasons: Adverse Weather and Lighting Conditions [URL]
8. [Sep 2022]: Serving as area chair for CVPR'22
9. [Sep 2021]: DEC Chair in MCS
10. [Oct 2021]: Invited talk in FR-SG AI Workshop, Oct. 15th
11. [Oct 2021]: Invited talk on Night Images in CVPRW'21: [youtube]
12. [Oct 2021]: Organizing an ICCV'21 workshop on "Physics-based Vision Meets Deep Learning": [URL]
13. [Oct 2021]: Invited talk on Advance Image Restoration (AIM'21) in ICCVW'21: [URL]
14. [Oct 2021]: Soft-shadow removal paper presented in ICCV'21
15. IJCV guest editorial member for a special issue on “Physics-Based meets Deep Learning”
16. Reviewer: AAAI'22 | ICLR'22 | ICML'22 | NeurIPS'22 | IJCV | TPAMI | MOE's Proposal
17. YNC Search Committee: Chair (AY2021/2022)
18. ECE Search Committee: Member (AY2021/2022)
19. ECE TAC: Muhammet Furkan ILASLAN (Shou's student, Chair) | Shafa Balaram (Shou's student, Member) | Dapeng Hu (Wang's student, Member) | Wang Jiahao (Yu's student, Member)
20. Masters projects: Zhang Haoli | Zheng Xingjian | Shi Tongjun | Wang Jiawen | Wang Luwei | Liu Cen
21. FYP students: Chen Shenghao | Project82 (Chia Ren Sheng, Low Xin Yu, Wong Jia Xi, Zou Yanfeng)
22. Capstone students: Tang Jia | Kosuke Nakamura | Ivan Leo | Yusra Fathima

08/2020 - 07/2021

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