Robby T. Tan

Associate Professor
Yale-NUS College
Also, Electrical and Computer Engineering, NUS


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Activities and Other Information:


08/2020 - 07/2021

  1. Area Chair, CVPR 2022.
  2. Teaching: YSC2229: Intro to Data Structures and Algorithms (Sem2)
  3. Teaching: YSC4216: Machine Learning (Sem1)
  4. Teaching: EE2211: Introduction to Machine Learning (Sem2, Tutorials)
  5. Reviewer: ACCV'20 | AAAI'21 | CVPR'21 | ICCV'21 | NIPS'21 | ICLR'22 | ISMAR'21 | UIST'21
  6. Reviewer: CVIU | TIP | TPAMI | IJCV
  7. Thesis Committee: 2 PhD students
  8. MINDEF's FR-SG Workshop: Invited Talk (2020/20/12)
  9. Papers: ACCV'20 (one) | 3DV'20 (one) | AAAI'21 (one) | CVPR'21 (three) | Gastrointestinal Endoscopy (one) | TPAMI (one)
  10. YNC: DEC Chair (3x)
  11. YNC: Capstone facilitator/moderator
  12. YNC: DS Search Committee -- 6/2021
  13. YNC: CS Search Committee -- 9/2020
  14. ECE: SAMI Search Committee
  15. Projects (PI): MOE-T2, DSO, Huawei
  16. Projects (co-PI): N-CRiPT, NUH
  17. PhD Supervision: Aashish Sharma | Yan Wending | Cheng Yu | Lu Liu | Jin Yenying | Xin Yang (Jeremy)
  18. MSc Supervision: Zhang Haoli (MSc Project) | Li Yuan (RA)
  19. FYP: Ng Yin Zhi
  20. [26-4-2021]: Congratulations to Ng Yin Zhi for receiving FYP Merit Award'21
  21. Collaborations: Wang Jiahao | Yan Wenhan
  22. Invited talk in SGINNOVATE on "Human 3D Poses from Video": [URL]
  23. Invited talk in a workshop in CVPR21 "Vision for All Seasons: Bad Weather and Nighttime"
  24. Co-organizing a workshop in CVPR'21: "Vision for All Seasons: Bad Weather and Nighttime": website
  25. Co-organizing a workshop in ICCV'2021: "Physics-based Vision Meets Deep Learning (PBDL)"

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

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

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