[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
[ICLR2024] Codes and Models for COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
Unifying the Video and Question Attentions for Open-Ended Video Question Answering
Video Question Answering via Hierarchical Spatio-Temporal Attention Networks
These #LangChain-powered apps include a Research Assistant that generates reports using web scraping and GPT-4o-mini, and Chat With Video, a #Streamlit app that #transcribes videos and enables content-based Q&A via #embeddings.
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.
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