Mengmi Zhang

According to our database, Mengmi Zhang authored at least 32 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Make Me Happier: Evoking Emotions Through Image Diffusion Models.

Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang

CoRR, 2024

TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions.

Maytus Piriyajitakonkij, Mingfei Sun, Mengmi Zhang, Wei Pan

CoRR, 2024

Training-free Object Counting with Prompts.

Zenglin Shi, Ying Sun, Mengmi Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Adaptive Visual Scene Understanding: Incremental Scene Graph Generation.

Naitik Khandelwal, Xiao Liu, Mengmi Zhang

CoRR, 2023

Integrating Curricula with Replays: Its Effects on Continual Learning.

Ren Jie Tee, Mengmi Zhang

CoRR, 2023

Object-centric Learning with Cyclic Walks between Parts and Whole.

Ziyu Wang, Mike Zheng Shou, Mengmi Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory.

Ankur Sikarwar, Mengmi Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Label-Efficient Online Continual Object Detection in Streaming Video.

Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning to Learn: How to Continuously Teach Humans and Machines.

Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Look twice: A generalist computational model predicts return fixations across tasks and species.

Mengmi Zhang, Marcelo Armendáriz, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman

PLoS Comput. Biol., November, 2022

Learning to Learn: How to Continuously Teach Humans and Machines.

Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Daniel Gao, Morgan Bruce Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang

CoRR, 2022

Efficient Zero-shot Visual Search via Target and Context-aware Transformer.

Zhiwei Ding, Xuezhe Ren, Erwan David, Melissa Vo, Gabriel Kreiman, Mengmi Zhang

CoRR, 2022

Human or Machine? Turing Tests for Vision and Language.

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

CoRR, 2022

Reason from Context with Self-supervised Learning.

Xiao Liu, Ankur Sikarwar, Joo Hwee Lim, Gabriel Kreiman, Zenglin Shi, Mengmi Zhang

CoRR, 2022

On the Robustness, Generalization, and Forgetting of Shape-Texture Debiased Continual Learning.

Zenglin Shi, Ying Sun, Joo Hwee Lim, Mengmi Zhang

CoRR, 2022

What makes domain generalization hard?

Spandan Madan, Li You, Mengmi Zhang, Hanspeter Pfister, Gabriel Kreiman

CoRR, 2022

2021

Hypothesis-driven Stream Learning with Augmented Memory.

Mengmi Zhang, Rohil Badkundri, Morgan B. Talbot, Gabriel Kreiman

CoRR, 2021

Look Twice: A Computational Model of Return Fixations across Tasks and Species.

Mengmi Zhang, Will Xiao, Olivia Rose, Katarina Bendtz, Margaret S. Livingstone, Carlos R. Ponce, Gabriel Kreiman

CoRR, 2021

Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases.

Shashi Kant Gupta, Mengmi Zhang, Chia-Chien Wu, Jeremy M. Wolfe, Gabriel Kreiman

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes.

Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Putting Visual Object Recognition in Context.

Mengmi Zhang, Claire Tseng, Gabriel Kreiman

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Anticipating Where People will Look Using Adversarial Networks.

Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Prototype Reminding for Continual Learning.

Mengmi Zhang, Tao Wang, Joo Hwee Lim, Jiashi Feng

CoRR, 2019

Lift-the-Flap: Context Reasoning Using Object-Centered Graphs.

Mengmi Zhang, Jiashi Feng, Karla Montejo, Joseph Kwon, Joo Hwee Lim, Gabriel Kreiman

CoRR, 2019

2018

What am I searching for?

Mengmi Zhang, Jiashi Feng, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman

CoRR, 2018

Finding any Waldo: zero-shot invariant and efficient visual search.

Mengmi Zhang, Jiashi Feng, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Gabriel Kreiman

CoRR, 2018

Egocentric Spatial Memory.

Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Foveated neural network: Gaze prediction on egocentric videos.

Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks.

Mengmi Zhang, Keng Teck Ma, Joo Hwee Lim, Qi Zhao, Jiashi Feng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

A high fidelity simulator for a quadrotor UAV using ROS and Gazebo.

Mengmi Zhang, Hailong Qin, Menglu Lan, Jiaxin Lin, Shuai Wang, Kaijun Liu, Feng Lin, Ben M. Chen

Proceedings of the IECON 2015, 2015

2014

Vision-based detection and pose estimation for formation of micro aerial vehicles.

Mengmi Zhang, Feng Lin, Ben M. Chen

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014