Vision-based detection and pose estimation for formation of micro aerial vehicles. - Mengmi Zhang; Feng Lin 003; Ben M. Chen (ICARCV, 2014)

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 003; Ben M. Chen (IECON, 2015)

Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks. - Mengmi Zhang; Keng Teck Ma; Joo Hwee Lim; Qi Zhao 001; Jiashi Feng (CVPR, 2017)

Foveated neural network: Gaze prediction on egocentric videos. - Mengmi Zhang; Keng Teck Ma; Joo Hwee Lim; Qi Zhao 001 (ICIP, 2017)

Egocentric Spatial Memory. - Mengmi Zhang; Keng Teck Ma; Shih-Cheng Yen; Joo Hwee Lim; Qi Zhao 001; Jiashi Feng (IROS, 2018)

Finding any Waldo: zero-shot invariant and efficient visual search. - Mengmi Zhang; Jiashi Feng; Keng Teck Ma; Joo Hwee Lim; Qi Zhao 001; Gabriel Kreiman (CoRR, 2018)

What am I searching for? - Mengmi Zhang; Jiashi Feng; Joo Hwee Lim; Qi Zhao 001; Gabriel Kreiman (CoRR, 2018)

Lift-the-Flap: Context Reasoning Using Object-Centered Graphs. - Mengmi Zhang; Jiashi Feng; Karla Montejo; Joseph Kwon; Joo Hwee Lim; Gabriel Kreiman (CoRR, 2019)

Prototype Reminding for Continual Learning. - Mengmi Zhang; Tao Wang 053; Joo Hwee Lim; Jiashi Feng (CoRR, 2019)

Anticipating Where People will Look Using Adversarial Networks. - Mengmi Zhang; Keng Teck Ma; Joo Hwee Lim; Qi Zhao 001; Jiashi Feng (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Putting Visual Object Recognition in Context. - Mengmi Zhang; Claire Tseng; Gabriel Kreiman (CVPR, 2020)

When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. - Philipp Bomatter; Mengmi Zhang; Dimitar Karev; Spandan Madan; Claire Tseng; Gabriel Kreiman (ICCV, 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 (NeurIPS, 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)

Hypothesis-driven Stream Learning with Augmented Memory. - Mengmi Zhang; Rohil Badkundri; Morgan B. Talbot; Gabriel Kreiman (CoRR, 2021)

What makes domain generalization hard? - Spandan Madan; Li You; Mengmi Zhang; Hanspeter Pfister; Gabriel Kreiman (CoRR, 2022)

On the Robustness, Generalization, and Forgetting of Shape-Texture Debiased Continual Learning. - Zenglin Shi; Ying Sun 001; Joo Hwee Lim; Mengmi Zhang (CoRR, 2022)

Reason from Context with Self-supervised Learning. - Xiao Liu; Ankur Sikarwar; Joo Hwee Lim; Gabriel Kreiman; Zenglin Shi; 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; et al. (CoRR, 2022)

Efficient Zero-shot Visual Search via Target and Context-aware Transformer. - Zhiwei Ding; Xuezhe Ren; Erwan J. David; Melissa Le-Hoa Vo; Gabriel Kreiman; Mengmi Zhang (CoRR, 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 001; Mike Zheng Shou; Gabriel Kreiman; Mengmi Zhang (CoRR, 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., 2022)

Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task. - Stan Weixian Lei; Difei Gao; Jay Zhangjie Wu; Yuxuan Wang; Wei Liu 005; Mengmi Zhang; Mike Zheng Shou (AAAI, 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 001; Mike Zheng Shou; Gabriel Kreiman; Mengmi Zhang (ICCV, 2023)

Label-Efficient Online Continual Object Detection in Streaming Video. - Jay Zhangjie Wu; David Junhao Zhang; Wynne Hsu; Mengmi Zhang; Mike Zheng Shou (ICCV, 2023)

Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory. - Ankur Sikarwar; Mengmi Zhang (NeurIPS, 2023)

Object-centric Learning with Cyclic Walks between Parts and Whole. - Ziyu Wang; Mike Zheng Shou; Mengmi Zhang (NeurIPS, 2023)

Integrating Curricula with Replays: Its Effects on Continual Learning. - Ren Jie Tee; Mengmi Zhang (CoRR, 2023)

Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception. - Shuangpeng Han; Ziyu Wang; Mengmi Zhang (NeurIPS, 2024)

Adaptive Visual Scene Understanding: Incremental Scene Graph Generation. - Naitik Khandelwal; Xiao Liu; Mengmi Zhang (NeurIPS, 2024)

Training-free Object Counting with Prompts. - Zenglin Shi; Ying Sun 001; Mengmi Zhang (WACV, 2024)

TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions. - Maytus Piriyajitakonkij; Mingfei Sun 001; Mengmi Zhang; Wei Pan 004 (CoRR, 2024)

Make Me Happier: Evoking Emotions Through Image Diffusion Models. - Qing Lin; Jingfeng Zhang; Yew Soon Ong; Mengmi Zhang (CoRR, 2024)

Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors. - Shuangpeng Han; Mengmi Zhang (CoRR, 2024)

Unsupervised Prior Learning: Discovering Categorical Pose Priors from Videos. - Ziyu Wang; Shuangpeng Han; Mike Zheng Shou; Mengmi Zhang (CoRR, 2024)

Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases. - Cristian Meo; Akihiro Nakano; Mircea Lica; Aniket Didolkar; Masahiro Suzuki 001; Anirudh Goyal; Mengmi Zhang; Justin Dauwels; Yutaka Matsuo; Yoshua Bengio (CoRR, 2024)

Unforgettable Lessons from Forgettable Images: Intra-Class Memorability Matters in Computer Vision Tasks. - Jie Jing 001; Qing Lin; Shuangpeng Han; Lucia Schiatti; Yen-Ling Kuo; Mengmi Zhang (CoRR, 2024)

Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging. - Bo Wang; Dingwei Tan; Yen-Ling Kuo; Zhaowei Sun; Jeremy M. Wolfe; Tat-Jen Cham; Mengmi Zhang (CVPR, 2025)

Tuned Compositional Feature Replays for Efficient Stream Learning. - Morgan B. Talbot; Rushikesh Zawar; Rohil Badkundri; Mengmi Zhang; Gabriel Kreiman (IEEE Trans. Neural Networks Learn. Syst., 2025)

Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization. - Yanhao Jia; Ji Xie; S. Jivaganesh; Hao Li; Xu Wu; Mengmi Zhang (CoRR, 2025)

From Grunts to Grammar: Emergent Language from Cooperative Foraging. - Maytus Piriyajitakonkij; Rujikorn Charakorn; Weicheng Tao; Wei Pan 004; Mingfei Sun 001; Cheston Tan; Mengmi Zhang (CoRR, 2025)

Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D Reconstruction. - Zhengquan Zhang; Feng Xu; Mengmi Zhang (CoRR, 2025)

Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval. - Yifan Wang; Tao Wang 053; Chenwei Tang; Caiyang Yu; Zhengqing Zang; Mengmi Zhang; Shudong Huang; Jiancheng Lv 001 (CoRR, 2025)

Unveiling the Tapestry: The Interplay of Generalization and Forgetting in Continual Learning. - Zenglin Shi; Jie Jing 001; Ying Sun 001; Joo-Hwee Lim; Mengmi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2025)