RECENT PREPRINTS
First authors in bold, correspondence authors underlined
MAKE ME HAPPIER: EVOKING EMOTIONS THROUGH IMAGE DIFFUSION MODELS [PDF]
Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang
TTA-NAV: TEST-TIME ADAPTIVE RECONSTRUCTION FOR POINT-GOAL NAVIGATION UNDER VISUAL CORRUPTIONS [PDF]
Maytus Piriyajitakonkij, Mingfei Sun, Mengmi Zhang, Wei Pan
ADAPTIVE VISUAL SCENE UNDERSTANDING: INCREMENTAL LEARNING IN SCENE GRAPH GENERATION [PDF]
Naitik Khandlewal, Xiao Liu, Mengmi Zhang
REASON FROM CONTEXT WITH SELF-SUPERVISED LEARNING [PDF]
Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang
UNVEILING THE TAPESTRY: THE INTERPLAY OF GENERALIZATION AND FORGETTING IN CONTINUAL LEARNING [PDF]
Zenglin Shi, Jie Jing, Ying Sun, Joo Hwee Lim, Mengmi Zhang
HUMAN OR MACHINE? TURING TESTS FOR VISION AND LANGUAGE [PDF]
Mengmi Zhang, Giorgia Dellaferrera, Ankur Sikarwar, Marcelo Armendariz, Noga Mudrik, Prachi Agrawal, Spandan Madan, Andrei Barbu, Haochen Yang, Tanishq Kumar, Meghna Sadwani, Stella Dellaferrera, Michele Pizzochero, Hanspeter Pfister, Gabriel Kreiman
EFFICIENT ZERO-SHOT VISUAL SEARCH VIA TARGET AND CONTEXT-AWARE TRANSFORMER [PDF]
Zhiwei Ding, Xuezhe Ren, Erwan David, Melissa Vo, Gabriel Kreiman, Mengmi Zhang
WHAT MAKES DOMAIN GENERALIZATION HARD? [PDF]
Spandan Madan, Li You, Mengmi Zhang, Hanspeter Pfister, Gabriel Kreiman
SELECTED PUBLICATIONS
Full publication list [Google Scholar]
First authors in bold, correspondence authors underlined
Tuned Compositional Feature Replays for Efficient Stream Learning [PDF]
Morgan B. Talbot, Rushikesh Zawar, Rohil Badkundri, Mengmi Zhang, Gabriel Kreiman
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
DECODING THE ENIGMA: BENCHMARKING HUMANS AND AIS ON THE MANY FACETS OF WORKING MEMORY [PDF]
Ankur Sikarwar, Mengmi Zhang
NeurIPS, Dataset and Benchmark Track, 2023
OBJECT-CENTRIC LEARNING WITH CYCLIC WALKS BETWEEN PARTS AND WHOLE [PDF]
Ziyu Wang, Mike Shou, Mengmi Zhang
NeurIPS, 2023
LEARNING TO LEARN: HOW TO CONTINUOUSLY TEACH HUMANS AND MACHINES [PDF]
Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang
ICCV, 2023
LABEL-EFFICIENT ONLINE CONTINUAL OBJECT DETECTION IN STREAMING VIDEO [PDF]
Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou
ICCV, 2023
INTEGRATING CURRICULA WITH REPLAYS: ITS EFFECTS ON CONTINUAL LEARNING [PDF]
Ren Jie Tee, Mengmi Zhang
AAAI symposium, 2023
SYMBOLIC REPLAY: SCENE GRAPH AS PROMPT FOR CONTINUAL LEARNING ON VQA TASK
Stan Weixian Lei, Difei Gao, Jay Zhangjie Wu, Yuxuan Wang, Wei Liu, Mengmi Zhang, Mike Zheng Shou
AAAI, 2023 [ORAL paper] [PDF]
LOOK TWICE: A GENERALIST COMPUTATIONAL MODEL PREDICTS RETURN FIXATIONS ACROSS TASKS AND SPECIES
Mengmi Zhang, Marcelo Armendariz, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret Livingstone, Carlos Ponce, Gabriel Kreiman
PLOS Computational Biology, 2022 [PDF]
WHEN PIGS FLY: CONTEXTUAL REASONING IN SYNTHETIC AND NATURAL SCENES
Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman
ICCV, 2021 [PDF]
VISUAL SEARCH ASYMMETRY: DEEP NETS AND HUMANS SHARE SIMILAR INHERENT BIASES
Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, Gabriel Kreiman
Neurips 2021 [PDF]
PUTTING VISUAL OBJECT RECOGNITION IN CONTEXT
Mengmi Zhang, Claire Tseng, Gabriel Kreiman
CVPR, 2020 [PDF]
FINDING ANY WALDO WITH ZERO-SHOT INVARIANT AND EFFICIENT VISUAL SEARCH
Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman
Nature Communications, 2018 [PDF]
DEEP FUTURE GAZE: GAZE ANTICIPATION ON EGOCENTRIC VIDEOS USING ADVERSARIAL NETWORKS
Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng
CVPR 2017 [ORAL paper acceptance rate 2.6% ] [PDF]