cognitive AI in vision
Despite notable advances in AI over the last decade, human intelligence still surpasses AI in most daily tasks. Our lab aims to
translate insights from cognitive science and neuroscience to push the frontiers of AI research.
use AI models to further our understanding of human cognition.
RESEARCH
-
We design and conduct psychophysics experiments that benchmark human and AI performance in vision tasks, identify research gaps, and bootstrap modern AI.
-
We also develop novel computational models that help evaluate working hypotheses in human vision, and thereby, advance our understanding of biological perception.
LAB CULTURE
All of us in DeepNeuroCognition Lab seek to foster a welcoming, respectful and caring lab environment, where we support a diverse group of students and trainees of all levels regardless of their race, age, colour , national origin, religion, sexual orientation, gender identity, gender expression, disability, economic status and other characteristics and identities.
​
We value scientific integrity, teamwork, responsiblity, passion, self-motivation, open-mindedness, differences, and adapatability. If you are interested in joining our lab, we expect you to uphold to them.
DR. MENGMI ZHANG
[Nov, 2023 - present] Tenure-track Nanyang assistant professor, College of Computing and Data Science, Nanyang Technological University (NTU), Singapore
​
[Sep, 2021 - present] Principal scientist and principal investigator @CFAR and I2R, Agency for Science, Technology and Research (A*STAR), Singapore
​
[Jul 1, 2022 - Dec 28, 2022] Adjunct Asst Prof @Electrical and Computer Engineering Dept, National University of Singapore
​
[Jun, 2019 - Sep, 2021] Post-doc, Children's Hospital, Harvard Medical School
(also affiliated with MIT-Harvard Center for Brains, Minds and Machines, USA)
​
[Aug, 2015 - Jan, 2019] Ph.D., National University of Singapore
(exchange at KreimanLab @ Harvard Medical School, USA)
​
[Aug, 2011 - Jul, 2015] B.Eng, National University of Singapore
(exchange at University of California, Santa Barbara, USA)
NEWS (the latest 3 months only)
[Oct, 2024] Our paper on generalization to biological motion perception is published in NeurIPS!
[Oct, 2024] Our paper on continual visual scene understanding is published in NeurIPS!
[Aug, 2024] I serve as Area Chair for ICLR 2025!
[Jul, 2024] Prof. Jeremy Wolfe from Harvard gave a talk on visual search in our lab!
[Jun, 2024] Prof. David Forsyth from UIUC gave a talk on what generative AI models know in our lab!
[Jun, 2024] Prof. Tatsuya Kameda from U Tokyo and Meiji Gakuin University gave a talk on collective intelligence in our lab!
[Apr, 2024] Prof. Suresh Krishna from McGill gave a talk on active vision in our lab!
[Apr, 2024] I serve as Area Chair for NeurIPS 2024!
[Apr, 2024] Our workshop on human-inspired computer vision was accepted in ECCV!
[Mar, 2024] I serve in the organization committee in Asia Pacific Conference on Vision (APCV)!
[NOV, 2023] The work in collaboration with KreimanLab, Harvard, was accepted in TNNLS journal!
MANY THANKS
Our students, postdocs, research engineers and research scientists are the lifeblood of the lab! Thank you for your hard work and dedication to research!