Crandall, David

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Grauman, K., Westbury, A., Byrne, E., Chavis, Z., Furnari, A., Girdhar, R., Hamburger, J., Jiang, H., Liu, M., Liu, X., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 630

Diverse Beam Search for Improved Description of Complex Scenes

Vijayakumar, A., Cogswell, M., Selvaraju, R., Sun, Q., Lee, S., Crandall, D., & Batra, D. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 219

Embodied Amodal Recognition: Learning to Move to Perceive Objects

Yang, J., Ren, Z., Xu, M., Chen, X., Crandall, D., Parikh, D., & Batra, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsRobot Manipulation and Learning

Cited by 48

Addressing the harms of AI-generated inauthentic content

Menczer, F., Crandall, D., Ahn, Y.-Y., & Kapadia, A. (2023) · Nature Machine Intelligence

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 42

A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks

Tsutsui, S., & Crandall, D. J. (2017) · 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

Handwritten Text Recognition TechniquesAdvanced Neural Network Applications

Cited by 40

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Grauman, K., Westbury, A., Torresani, L., Kitani, K., Malik, J., Afouras, T., Ashutosh, K., Baiyya, V., Bansal, S., Boote, B., et al. (2025) · International Journal of Computer Vision

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 3