Kafle, Sushant

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations

Al-khazraji, S., Berke, L., Kafle, S., Yeung, P., & Huenerfauth, M. (2018) · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

Hand Gesture Recognition SystemsHuman Motion and Animation

Cited by 84

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

Evaluating the Benefit of Highlighting Key Words in Captions for People who are Deaf or Hard of Hearing

Kafle, S., Yeung, P., & Huenerfauth, M. (2019) · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility

Subtitles and Audiovisual MediaHearing Impairment and Communication

Cited by 39

Behavioral Changes in Speakers who are Automatically Captioned in Meetings with Deaf or Hard-of-Hearing Peers

Seita, M., Albusays, K., Kafle, S., Stinson, M., & Huenerfauth, M. (2018) · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 32