[CVPR2021] SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events

[EMNLP 2023] TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding

Codes and Models for COSA: Concatenated Sample Pretrained Vision-Language Foundation Model

https://arxiv.org/abs/1707.00836

Unifying the Video and Question Attentions for Open-Ended Video Question Answering

Video Question Answering via Hierarchical Spatio-Temporal Attention Networks

The teaches you to integrate text, images, and videos into applications using Gemini's state-of-the-art multimodal models. Learn advanced prompting techniques, cross-modal reasoning, and how to extend Gemini's capabilities with real-time data and API integration.