Zisserman, Andrew

Perception Test: A Diagnostic Benchmark for Multimodal Video Models

Pătrăucean, V., Smaira, L., Gupta, A., Continente, A. R., Markeeva, L., Banarse, D., Koppula, S., Heyward, J., Malinowski, M., Yang, Y., et al. (2023) · arXiv

Image and Video Quality AssessmentMultimodal Machine Learning Applications

Cited by 34

Aligning Subtitles in Sign Language Videos

Bull, H., Afouras, T., Varol, G., Albanie, S., Momeni, L., & Zisserman, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Hand Gesture Recognition SystemsSubtitles and Audiovisual Media

Cited by 30

The Manga Whisperer: Automatically Generating Transcriptions for Comics

Sachdeva, R., & Zisserman, A. (2024) · arXiv

Handwritten Text Recognition TechniquesComics and Graphic Narratives

Cited by 17

Speech2Action: Cross-Modal Supervision for Action Recognition

Nagrani, A., Sun, C., Ross, D., Sukthankar, R., Schmid, C., & Zisserman, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 12

A General Protocol to Probe Large Vision Models for 3D Physical Understanding

Zhan, G., Zheng, C., Xie, W., & Zisserman, A. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 12

FlexCap: Describe Anything in Images in Controllable Detail

Dwibedi, D., Jain, V., Tompson, J., Zisserman, A., & Aytar, Y. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 1