Fei-Fei, Li

ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation

Huang, W., Wang, C., Li, Y., Zhang, R., & Fei-Fei, L. (2024) · arXiv

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 288

Illuminating the dark spaces of healthcare with ambient intelligence

Haque, A., Milstein, A., & Fei-Fei, L. (2020) · Nature

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 274

Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy

Yang, K., Qinami, K., Fei-Fei, L., Deng, J., & Russakovsky, O. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIAdvanced Neural Network Applications

Cited by 254

Iterative Visual Reasoning Beyond Convolutions

Chen, X., Li, L.-J., Fei-Fei, L., & Gupta, A. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 236

Connectionist Temporal Modeling for Weakly Supervised Action Labeling

Huang, D.-A., Fei-Fei, L., & Niebles, J. C. (2016) · Lecture Notes in Computer Science

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 226

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

Conceptual Metaphors Impact Perceptions of Human-AI Collaboration

Khadpe, P., Krishna, R., Fei-Fei, L., Hancock, J. T., & Bernstein, M. S. (2020) · Proceedings of the ACM on Human-Computer Interaction

Social Robot Interaction and HRIAI in Service Interactions

Cited by 183

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks

Fang, K., Toshev, A., Fei-Fei, L., & Savarese, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 178

Progressive Neural Architecture Search

Liu, C., Zoph, B., Neumann, M., Shlens, J., Hua, W., Li, L.-J., Fei-Fei, L., Yuille, A., Huang, J., & Murphy, K. (2017) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 171

Towards Viewpoint Invariant 3D Human Pose Estimation

Haque, A., Peng, B., Luo, Z., Alahi, A., Yeung, S., & Fei-Fei, L. (2016) · Lecture Notes in Computer Science

Human Pose and Action RecognitionFace recognition and analysis

Cited by 169

Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach

Gebru, T., Hoffman, J., & Fei-Fei, L. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 152

Two distinct scene processing networks connecting vision and memory

Baldassano, C., Esteva, A., Fei-Fei, L., & Beck, D. M. (2016) · eneuro

Memory and Neural MechanismsVisual perception and processing mechanisms

Cited by 144

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

Mandlekar, A., Zhu, Y., Garg, A., Booher, J., Spero, M., Tung, A., Gao, J., Emmons, J., Gupta, A., Orbay, E., et al. (2018) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 134

A computer vision system for deep learning-based detection of patient mobilization activities in the ICU

Yeung, S., Rinaldo, F., Jopling, J., Liu, B., Mehra, R., Downing, N. L., Guo, M., Bianconi, G. M., Alahi, A., Lee, J., et al. (2019) · npj Digital Medicine

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 125

Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

Yang, J., Yang, S., Gupta, A. W., Han, R., Fei-Fei, L., & Xie, S. (2024) · arXiv

Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation

Cited by 120

Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

Yang, J., Yang, S., Gupta, A. W., Han, R., Fei-Fei, L., & Xie, S. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation

Cited by 120

Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations

Mandlekar, A., Zhu, Y., Garg, A., Fei-Fei, L., & Savarese, S. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Adversarial Robustness in Machine LearningReinforcement Learning in Robotics

Cited by 116

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

Graph Distillation for Action Detection with Privileged Modalities

Luo, Z., Hsieh, J.-T., Jiang, L., Niebles, J. C., & Fei-Fei, L. (2018) · Lecture Notes in Computer Science

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 111

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

Wang, C., Shi, H., Wang, W., Zhang, R., Fei-Fei, L., & Liu, C. K. (2024) · arXiv

Human Motion and AnimationRobot Manipulation and Learning

Cited by 97

VIMA: General Robot Manipulation with Multimodal Prompts

Jiang, Y., Gupta, A., Zhang, Z., Wang, G., Dou, Y., Chen, Y., Fei-Fei, L., Anandkumar, A., Zhu, Y., & Fan, L. (2022) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 95

GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations

Mandlekar, A., Xu, D., Martín-Martín, R., Savarese, S., & Fei-Fei, L. (2020) · Robotics: Science and Systems XVI

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 90

Photorealistic Video Generation with Diffusion Models

Gupta, A., Yu, L., Sohn, K., Gu, X., Hahn, M., Fei-Fei, L., Essa, I., Jiang, L., & Lezama, J. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 83

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Huang, W., Wang, C., Zhang, R., Li, Y., Wu, J., & Fei-Fei, L. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 81