Wu, Jiajun

On the Opportunities and Risks of Foundation Models

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 2,676

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Wu, J., Zhang, C., Xue, T., Freeman, W. T., & Tenenbaum, J. B. (2016) · arXiv

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 1,393

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

Mao, J., Gan, C., Kohli, P., Tenenbaum, J. B., & Wu, J. (2019) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 444

3D Shape Generation and Completion through Point-Voxel Diffusion

Zhou, L., Du, Y., & Wu, J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 421

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

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky, A., Pertsch, K., Nair, S., Balakrishna, A., Dasari, S., Karamcheti, S., Nasiriany, S., Srirama, M. K., Chen, L. Y., Ellis, K., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 159

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky, A., Pertsch, K., Nair, S., Balakrishna, A., Dasari, S., Karamcheti, S., Nasiriany, S., Srirama, M., Chen, L., Ellis, K., et al. (2024) · Robotics: Science and Systems XX

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 159

ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding

Xue, L., Yu, N., Zhang, S., Panagopoulou, A., Li, J., Martín-Martín, R., Wu, J., Xiong, C., Xu, R., Niebles, J. C., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisMultimodal Machine Learning Applications

Cited by 144

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

Holodeck: Language Guided Generation of 3D Embodied AI Environments

Yang, Y., Sun, F.-Y., Weihs, L., VanderBilt, E., Herrasti, A., Han, W., Wu, J., Haber, N., Krishna, R., Liu, L., et al. (2023) · arXiv

3D Shape Modeling and AnalysisArtificial Intelligence in Games

Cited by 101

Holodeck: Language Guided Generation of 3D Embodied AI Environments

Yang, Y., Sun, F.-Y., Weihs, L., Vanderbilt, E., Herrasti, A., Han, W., Wu, J., Haber, N., Krishna, R., Liu, L., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisArtificial Intelligence in Games

Cited by 101

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

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

Li, C., Xia, F., Martín-Martín, R., Lingelbach, M., Srivastava, S., Shen, B., Vainio, K., Gokmen, C., Dharan, G., Jain, T., et al. (2021) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 58

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

Srivastava, S., Li, C., Lingelbach, M., Martín-Martín, R., Xia, F., Vainio, K., Lian, Z., Gokmen, C., Buch, S., Liu, C. K., et al. (2021) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 55

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Li, M., Zhao, S., Wang, Q., Wang, K., Zhou, Y., Srivastava, S., Gokmen, C., Lee, T., Li, L. E., Zhang, R., et al. (2024) · arXiv

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 21

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Li, M., Zhao, S., Wang, Q., Wang, K., Zhou, Y., Srivastava, S., Gokmen, C., Lee, T., Li, L., Zhang, R., et al. (2024) · Advances in Neural Information Processing Systems 37

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 21

HourVideo: 1-Hour Video-Language Understanding

Chandrasegaran, K., Gupta, A., Hadzic, L. M., Kota, T., He, J., Eyzaguirre, C., Durante, Z., Li, M., Wu, J., & Fei-Fei, L. (2024) · arXiv

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 17

WorldScore: A Unified Evaluation Benchmark for World Generation

Duan, H., Yu, H.-X., Chen, S., Fei-Fei, L., & Wu, J. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization Techniques

Cited by 17

WorldScore: A Unified Evaluation Benchmark for World Generation

Duan, H., Yu, H., Chen, S., Fei–Fei, L., & Wu, J. (2025) · 2025 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization Techniques

Cited by 17

BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

Li, C., Zhang, R., Wong, J., Gokmen, C., Srivastava, S., Martín-Martín, R., Wang, C., Levine, G., Ai, W., Martinez, B., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 6

Anymate: A Dataset and Baselines for Learning 3D Object Rigging

Deng, Y., Zhang, Y., Geng, C., Wu, S., & Wu, J. (2025) · Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 6

Evaluating Real-World Robot Manipulation Policies in Simulation

Li, X., Hsu, K., Gu, J., Pertsch, K., Mees, O., Walke, H. R., Fu, C., Lunawat, I., Sieh, I., Kirmani, S., et al. (2024) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 4

From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries

Hsu, J., Jin, E., Wu, J., & Mitra, N. J. (2025) · arXiv

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 0