Torralba, Antonio

Compositional Visual Generation with Composable Diffusion Models

Liu, N., Li, S., Du, Y., Torralba, A., & Tenenbaum, J. B. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 295

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning

Gu, Q., Kuwajerwala, A., Morin, S., Jatavallabhula, K. M., Sen, B., Agarwal, A., Rivera, C., Paul, W., Ellis, K., Chellappa, R., et al. (2023) · arXiv

3D Shape Modeling and AnalysisRobot Manipulation and Learning

Cited by 289

HOGgles: Visualizing Object Detection Features

Vondrick, C., Khosla, A., Malisiewicz, T., & Torralba, A. (2013) · 2013 IEEE International Conference on Computer Vision

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 282

DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

Zhang, Y., Ling, H., Gao, J., Yin, K., Lafleche, J.-F., Barriuso, A., Torralba, A., & Fidler, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 259

Parsing IKEA Objects: Fine Pose Estimation

Lim, J. J., Pirsiavash, H., & Torralba, A. (2013) · 2013 IEEE International Conference on Computer Vision

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 249

ConceptFusion: Open-set multimodal 3D mapping

Jatavallabhula, K., Kuwajerwala, A., Gu, Q., Omama, M., Iyer, G., Saryazdi, S., Chen, T., Maalouf, A., Li, S., Keetha, N., et al. (2023) · Robotics: Science and Systems XIX

Robotics and Sensor-Based LocalizationMultimodal Machine Learning Applications

Cited by 228

ConceptFusion: Open-set Multimodal 3D Mapping

Jatavallabhula, K. M., Kuwajerwala, A., Gu, Q., Omama, M., Chen, T., Maalouf, A., Li, S., Iyer, G., Saryazdi, S., Keetha, N., et al. (2023) · arXiv

Robotics and Sensor-Based LocalizationMultimodal Machine Learning Applications

Cited by 228

Semantic photo manipulation with a generative image prior

Bau, D., Strobelt, H., Peebles, W., Wulff, J., Zhou, B., Zhu, J.-Y., & Torralba, A. (2019) · ACM Transactions on Graphics

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 207

Dataset distillation

Wang, T., Zhu, J.-Y., Torralba, A., & Efros, A. A. (2018) · arXiv

Machine Learning and Data ClassificationDomain Adaptation and Few-Shot Learning

Cited by 194

Learning Aligned Cross-Modal Representations from Weakly Aligned Data

Castrejon, L., Aytar, Y., Vondrick, C., Pirsiavash, H., & Torralba, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 188

Diverse Image Generation via Self-Conditioned GANs

Liu, S., Wang, T., Bau, D., Zhu, J.-Y., & Torralba, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 91

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations

Li, D., Ling, H., Kim, S. W., Kreis, K., Fidler, S., & Torralba, A. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 83

DriveGAN: Towards a Controllable High-Quality Neural Simulation

Kim, S. W., Philion, J., Torralba, A., & Fidler, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 72

Skill Induction and Planning with Latent Language

Sharma, P., Torralba, A., & Andreas, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 39

Meta-Sim: Learning to Generate Synthetic Datasets

Kar, A., Prakash, A., Liu, M.-Y., Cameracci, E., Yuan, J., Rusiniak, M., Acuna, D., Torralba, A., & Fidler, S. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization Techniques

Cited by 21

A Vision Check-up for Language Models

Sharma, P., Shaham, T. R., Baradad, M., Rodriíuez-Muñoz, A., Duggal, S., Isola, P., Torralba, A., & Fu, S. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 15

Interpreting Visual Representations of Neural Networks via Network Dissection

Zhou, B., Bau, D., Oliva, A., & Torralba, A. (2018) · Journal of Vision

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 15

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI

Gan, C., Zhou, S., Schwartz, J., Alter, S., Bhandwaldar, A., Gutfreund, D., Yamins, D. L. K., DiCarlo, J. J., McDermott, J., Torralba, A., et al. (2021) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 13

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Subramaniam, V., Du, Y., Tenenbaum, J. B., Torralba, A., Li, S., & Mordatch, I. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 2