Darrell, Trevor

Object Hallucination in Image Captioning

Rohrbach, A., Hendricks, L. A., Burns, K., Darrell, T., & Saenko, K. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 420

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Park, D. H., Hendricks, L. A., Akata, Z., Rohrbach, A., Schiele, B., Darrell, T., & Rohrbach, M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications

Cited by 418

Women Also Snowboard: Overcoming Bias in Captioning Models

Hendricks, L. A., Burns, K., Saenko, K., Darrell, T., & Rohrbach, A. (2018) · Lecture Notes in Computer Science

Ethics and Social Impacts of AIMultimodal Machine Learning Applications

Cited by 404

Large-Scale Study of Curiosity-Driven Learning

Burda, Y., Edwards, H., Pathak, D., Storkey, A., Darrell, T., & Efros, A. A. (2018) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 401

Managing extreme AI risks amid rapid progress

Bengio, Y., Hinton, G., Yao, A., Song, D., Abbeel, P., Darrell, T., Harari, Y. N., Zhang, Y.-Q., Xue, L., Shalev-Shwartz, S., et al. (2024) · Science

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 349

Speaker-Follower Models for Vision-and-Language Navigation

Fried, D., Hu, R., Cirik, V., Rohrbach, A., Andreas, J., Morency, L.-P., Berg-Kirkpatrick, T., Saenko, K., Klein, D., & Darrell, T. (2018) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 291

LSDA: Large Scale Detection Through Adaptation

Hoffman, J., Guadarrama, S., Tzeng, E., Hu, R., Donahue, J., Girshick, R., Darrell, T., & Saenko, K. (2014) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 284

Deep learning for tactile understanding from visual and haptic data

Gao, Y., Hendricks, L. A., Kuchenbecker, K. J., & Darrell, T. (2016) · 2016 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningTeleoperation and Haptic Systems

Cited by 264

Joint Monocular 3D Vehicle Detection and Tracking

Hu, H.-N., Cai, Q.-Z., Wang, D., Lin, J., Sun, M., Kraehenbuehl, P., Darrell, T., & Yu, F. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Autonomous Vehicle Technology and SafetyVideo Surveillance and Tracking Methods

Cited by 249

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

Learning with Side Information through Modality Hallucination

Hoffman, J., Gupta, S., & Darrell, T. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 207

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Yu, F., Chen, H., Wang, X., Xian, W., Chen, Y., Liu, F., Madhavan, V., & Darrell, T. (2018) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 204

Grounding visual explanations

Hendricks, L. A., Hu, R., Darrell, T., & Akata, Z. (2018) · Lecture notes in computer science

Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications

Cited by 171

Contextual recognition of head gestures,

Morency, L.-P., Sidner, C., Lee, C., & Darrell, T. (2005) · Proceedings of the 7th international conference on Multimodal interfaces

Speech and dialogue systemsHand Gesture Recognition Systems

Cited by 130

Topologically-constrained latent variable models

Urtasun, R., Fleet, D. J., Geiger, A., Popović, J., Darrell, T. J., & Lawrence, N. D. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08

Gaussian Processes and Bayesian InferenceHuman Motion and Animation

Cited by 125

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

Learning Canonical Representations for Scene Graph to Image Generation

Herzig, R., Bar, A., Xu, H., Chechik, G., Darrell, T., & Globerson, A. (2020) · Lecture Notes in Computer Science

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 92

Generating Visual Explanations

Hendricks, L. A., Akata, Z., Rohrbach, M., Donahue, J., Schiele, B., & Darrell, T. (2016) · arXiv

Multimodal Machine Learning ApplicationsExplainable Artificial Intelligence (XAI)

Cited by 64

Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules

Kim, J., Moon, S., Rohrbach, A., Darrell, T., & Canny, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyReinforcement Learning in Robotics

Cited by 45

LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Lian, L., Li, B., Yala, A., & Darrell, T. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 33

Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion

Agarwal, S., Hu, L., Ng, E., Darrell, T., Li, H., & Rohrbach, A. (2023) · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 28

Spatial Semantic Regularisation for Large Scale Object Detection

Mrowca, D., Rohrbach, M., Hoffman, J., Hu, R., Saenko, K., & Darrell, T. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 20

Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game

Toyer, S., Watkins, O., Mendes, E. A., Svegliato, J., Bailey, L., Wang, T., Ong, I., Elmaaroufi, K., Abbeel, P., Darrell, T., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 7

Near to Mid-term Risks and Opportunities of Open-Source Generative AI

Eiras, F., Petrov, A., Vidgen, B., de Witt, C. S., Pizzati, F., Elkins, K., Mukhopadhyay, S., Bibi, A., Csaba, B., Steibel, F., et al. (2024) · arXiv

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 2