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Mengmi Zhang
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2020 – today
- 2024
- [c14]Zenglin Shi, Ying Sun, Mengmi Zhang:
Training-free Object Counting with Prompts. WACV 2024: 322-330 - [i28]Maytus Piriyajitakonkij, Mingfei Sun, Mengmi Zhang, Wei Pan:
TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions. CoRR abs/2403.01977 (2024) - [i27]Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang:
Make Me Happier: Evoking Emotions Through Image Diffusion Models. CoRR abs/2403.08255 (2024) - [i26]Shuangpeng Han, Ziyu Wang, Mengmi Zhang:
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception. CoRR abs/2405.16493 (2024) - [i25]Shuangpeng Han, Mengmi Zhang:
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors. CoRR abs/2410.02384 (2024) - [i24]Ziyu Wang, Shuangpeng Han, Mike Zheng Shou, Mengmi Zhang:
Unsupervised Prior Learning: Discovering Categorical Pose Priors from Videos. CoRR abs/2410.03858 (2024) - 2023
- [c13]Stan Weixian Lei, Difei Gao, Jay Zhangjie Wu, Yuxuan Wang, Wei Liu, Mengmi Zhang, Mike Zheng Shou:
Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task. AAAI 2023: 1250-1259 - [c12]Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang:
Learning to Learn: How to Continuously Teach Humans and Machines. ICCV 2023: 11674-11685 - [c11]Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou:
Label-Efficient Online Continual Object Detection in Streaming Video. ICCV 2023: 19189-19198 - [c10]Ankur Sikarwar, Mengmi Zhang:
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory. NeurIPS 2023 - [c9]Ziyu Wang, Mike Zheng Shou, Mengmi Zhang:
Object-centric Learning with Cyclic Walks between Parts and Whole. NeurIPS 2023 - [i23]Ziyu Wang, Mike Zheng Shou, Mengmi Zhang:
Object-centric Learning with Cyclic Walks between Parts and Whole. CoRR abs/2302.08023 (2023) - [i22]Zenglin Shi, Ying Sun, Mengmi Zhang:
Training-free Object Counting with Prompts. CoRR abs/2307.00038 (2023) - [i21]Ren Jie Tee, Mengmi Zhang:
Integrating Curricula with Replays: Its Effects on Continual Learning. CoRR abs/2307.05747 (2023) - [i20]Ankur Sikarwar, Mengmi Zhang:
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory. CoRR abs/2307.10768 (2023) - [i19]Naitik Khandelwal, Xiao Liu, Mengmi Zhang:
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation. CoRR abs/2310.01636 (2023) - 2022
- [j2]Mengmi Zhang, Marcelo Armendáriz, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman:
Look twice: A generalist computational model predicts return fixations across tasks and species. PLoS Comput. Biol. 18(11): 1010654 (2022) - [i18]Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou:
Label-Efficient Online Continual Object Detection in Streaming Video. CoRR abs/2206.00309 (2022) - [i17]Spandan Madan, Li You, Mengmi Zhang, Hanspeter Pfister, Gabriel Kreiman:
What makes domain generalization hard? CoRR abs/2206.07802 (2022) - [i16]Stan Weixian Lei, Difei Gao, Jay Zhangjie Wu, Yuxuan Wang, Wei Liu, Mengmi Zhang, Mike Zheng Shou:
Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task. CoRR abs/2208.12037 (2022) - [i15]Zenglin Shi, Ying Sun, Joo Hwee Lim, Mengmi Zhang:
On the Robustness, Generalization, and Forgetting of Shape-Texture Debiased Continual Learning. CoRR abs/2211.11174 (2022) - [i14]Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang:
Reason from Context with Self-supervised Learning. CoRR abs/2211.12817 (2022) - [i13]Mengmi Zhang, Giorgia Dellaferrera, Ankur Sikarwar, Marcelo Armendáriz, Noga Mudrik, Prachi Agrawal, Spandan Madan, Andrei Barbu, Haochen Yang, Tanishq Kumar, Meghna Sadwani, Stella Dellaferrera, Michele Pizzochero, Hanspeter Pfister, Gabriel Kreiman:
Human or Machine? Turing Tests for Vision and Language. CoRR abs/2211.13087 (2022) - [i12]Zhiwei Ding, Xuezhe Ren, Erwan J. David, Melissa Le-Hoa Vo, Gabriel Kreiman, Mengmi Zhang:
Efficient Zero-shot Visual Search via Target and Context-aware Transformer. CoRR abs/2211.13470 (2022) - [i11]Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang:
Learning to Learn: How to Continuously Teach Humans and Machines. CoRR abs/2211.15470 (2022) - 2021
- [c8]Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman:
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. ICCV 2021: 255-264 - [c7]Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, Gabriel Kreiman:
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases. NeurIPS 2021: 6946-6959 - [i10]Mengmi Zhang, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman:
Look Twice: A Computational Model of Return Fixations across Tasks and Species. CoRR abs/2101.01611 (2021) - [i9]Mengmi Zhang, Rohil Badkundri, Morgan B. Talbot, Gabriel Kreiman:
Hypothesis-driven Stream Learning with Augmented Memory. CoRR abs/2104.02206 (2021) - [i8]Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman:
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. CoRR abs/2104.02215 (2021) - [i7]Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, Gabriel Kreiman:
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases. CoRR abs/2106.02953 (2021) - 2020
- [c6]Mengmi Zhang, Claire Tseng, Gabriel Kreiman:
Putting Visual Object Recognition in Context. CVPR 2020: 12982-12991
2010 – 2019
- 2019
- [j1]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Anticipating Where People will Look Using Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1783-1796 (2019) - [i6]Mengmi Zhang, Jiashi Feng, Karla Montejo, Joseph Kwon, Joo Hwee Lim, Gabriel Kreiman:
Lift-the-Flap: Context Reasoning Using Object-Centered Graphs. CoRR abs/1902.00163 (2019) - [i5]Mengmi Zhang, Tao Wang, Joo Hwee Lim, Jiashi Feng:
Prototype Reminding for Continual Learning. CoRR abs/1905.09447 (2019) - [i4]Mengmi Zhang, Claire Tseng, Gabriel Kreiman:
Putting visual object recognition in context. CoRR abs/1911.07349 (2019) - 2018
- [c5]Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Egocentric Spatial Memory. IROS 2018: 137-144 - [i3]Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman:
Finding any Waldo: zero-shot invariant and efficient visual search. CoRR abs/1807.10587 (2018) - [i2]Mengmi Zhang, Jiashi Feng, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman:
What am I searching for? CoRR abs/1807.11926 (2018) - [i1]Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Egocentric Spatial Memory. CoRR abs/1807.11929 (2018) - 2017
- [c4]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng:
Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks. CVPR 2017: 3539-3548 - [c3]Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao:
Foveated neural network: Gaze prediction on egocentric videos. ICIP 2017: 3720-3724 - 2015
- [c2]Mengmi Zhang, Hailong Qin, Menglu Lan, Jiaxin Lin, Shuai Wang, Kaijun Liu, Feng Lin, Ben M. Chen:
A high fidelity simulator for a quadrotor UAV using ROS and Gazebo. IECON 2015: 2846-2851 - 2014
- [c1]Mengmi Zhang, Feng Lin, Ben M. Chen:
Vision-based detection and pose estimation for formation of micro aerial vehicles. ICARCV 2014: 1473-1478
Coauthor Index
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