Video Question Answering Collection

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“[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.”

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“[ECCV2024] Video Foundation Models & Data for Multimodal Understanding”

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“[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks. ”

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“Official code for Goldfish model for long video understanding and MiniGPT4-video for short video understanding ”

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“Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Pre-training Dataset and Benchmarks”

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“SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models”

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“mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video (ICML 2023)”

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“[NeurIPS 2023] Self-Chained Image-Language Model for Video Localization and Question Answering”

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“NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (CVPR'21)”

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“Align and Prompt: Video-and-Language Pre-training with Entity Prompts”

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“A new multi-shot video understanding benchmark Shot2Story with comprehensive video summaries and detailed shot-level captions.”

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“[NeurIPS 2022] Zero-Shot Video Question Answering via Frozen Bidirectional Language Models”

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“[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations”

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“A PyTorch implementation of VIOLET”

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“[ACL 2020] PyTorch code for TVQA+: Spatio-Temporal Grounding for Video Question Answering”

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“[ICCV 2021 Oral + TPAMI] Just Ask: Learning to Answer Questions from Millions of Narrated Videos”

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“[CVPR 2023 Highlight & TPAMI] Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning”

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“Video Question Answering | Video QA | VQA”