Academic Profile : Faculty
Asst Prof Zhang Mengmi
Nanyang Assistant Professor, College of Computing & Data Science
Email
External Links
Journal Articles
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
Morgan B. Talbot, Rushikesh Zawar, Rohil Badkundri, Mengmi Zhang^, Gabriel Kreiman^, (2023) Tuned Compositional Feature Replays for Efficient Stream Learning, IEEE Transactions on Neural Networks and Learning Systems (TNNLS)##
Mengmi Zhang, Marcelo Armendariz, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret Livingstone, Carlos Ponce, Gabriel Kreiman, (2022) Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species, PLOS Computational Biology##
Mengmi Zhang, Gabriel Kreiman, (2021), Beauty is in the eye of the machine, Nature Human Behavior##
Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng, (2018), Anticipating Where People Will Look Using Adversarial Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)##
Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, and Gabriel Kreiman, (2018), Finding any Waldo with zero-shot invariant and efficient visual search, Nature Communications##
Mengmi Zhang, Marcelo Armendariz, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret Livingstone, Carlos Ponce, Gabriel Kreiman, (2022) Look Twice: A Generalist Computational Model Predicts Return Fixations across Tasks and Species, PLOS Computational Biology##
Mengmi Zhang, Gabriel Kreiman, (2021), Beauty is in the eye of the machine, Nature Human Behavior##
Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng, (2018), Anticipating Where People Will Look Using Adversarial Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)##
Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, and Gabriel Kreiman, (2018), Finding any Waldo with zero-shot invariant and efficient visual search, Nature Communications##
Conference Papers
(Not applicable to NIE
staff as info will be
pulled from PRDS)
(Not applicable to NIE
staff as info will be
pulled from PRDS)
*Ziyu Wang, Mike Zheng Shou, ^Mengmi Zhang (2023) Object-centric Learning with Cyclic Walks between Parts and Whole, Conference on Neural Information Processing Systems (NeurIPS)##
**Ankur Sikarwar, ^Mengmi Zhang, (2023) Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory, Conference on Neural Information Processing Systems (NeurIPS)##
**Parantak Singh, **You Li, **Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, ^Mengmi Zhang, (2023), Learning to Learn: How to Continuously Teach Humans and Machines, International Conference on Computer Vision (ICCV)##
Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, ^Gabriel Kreiman, (2021) Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases, Conference on Neural Information Processing Systems (NeurIPS)##
Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman, (2021), When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes, International Conference on Computer Vision (ICCV)##
Mengmi Zhang, Claire Tseng, Gabriel Kreiman, (2020) Putting Visual Object Recognition in Context, IEEE Conference on Computer Vision and Pattern Recognition (CVPR)##
Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, and Jiashi Feng, (2018) Egocentric Spatial Memory, International Conference on Intelligent Robots and Systems (IROS)
Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng, (2017) Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks, IEEE Conference on Computer Vision and Pattern Recognition (CVPR)##
**Ankur Sikarwar, ^Mengmi Zhang, (2023) Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory, Conference on Neural Information Processing Systems (NeurIPS)##
**Parantak Singh, **You Li, **Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, ^Mengmi Zhang, (2023), Learning to Learn: How to Continuously Teach Humans and Machines, International Conference on Computer Vision (ICCV)##
Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, ^Gabriel Kreiman, (2021) Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases, Conference on Neural Information Processing Systems (NeurIPS)##
Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman, (2021), When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes, International Conference on Computer Vision (ICCV)##
Mengmi Zhang, Claire Tseng, Gabriel Kreiman, (2020) Putting Visual Object Recognition in Context, IEEE Conference on Computer Vision and Pattern Recognition (CVPR)##
Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, and Jiashi Feng, (2018) Egocentric Spatial Memory, International Conference on Intelligent Robots and Systems (IROS)
Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng, (2017) Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks, IEEE Conference on Computer Vision and Pattern Recognition (CVPR)##
Google Scholar