Bain, Max

WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

Bain, M., Huh, J., Han, T., & Zisserman, A. (2023) · INTERSPEECH 2023

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 337

Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

Bain, M., Nagrani, A., Varol, G., & Zisserman, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 76

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

AutoAD: Movie Description in Context

Han, T., Bain, M., Nagrani, A., Varol, G., Xie, W., & Zisserman, A. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsSubtitles and Audiovisual Media

Cited by 43

Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models

Padlewski, P., Bain, M., Henderson, M., Zhu, Z., Relan, N., Pham, H., Ong, D., Aleksiev, K., Ormazabal, A., Phua, S., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 1