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

awesome grounding: A curated list of research papers in visual grounding

[CVPR20] Video Object Grounding using Semantic Roles in Language Description (https://arxiv.org/abs/2003.10606)

[CVPR 2023 & IJCV 2025] Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation

[CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

PyTorch Implementation of Consensus-based Sequence Training for Video Captioning

Transcription and annotation interface for recorded audio or video files

PyTorch code for: Learning to Generate Grounded Visual Captions without Localization Supervision

Data Curation Tool is a local-first dataset curation, tagging, model-management, downloader, 3D generation, media metadata, and tool-orchestration application. The current documentation set is stored in docs/wiki/

Video to Language Challenge (MSR-VTT Challenge 2016)

An image and video description generator using an CNN-RNN based architecture.

M-VAD Names Dataset. Multimedia Tools and Applications (2019)

An AI-powered, fully automated n8n workflow that converts a single text prompt into scroll-stopping YouTube Shorts using dynamic visuals, dramatic TTS narration, and real-time editing — all self-hosted using Docker, Ollama, MinIO, and open-source tools.

Caption generator for live camera feed

Sample app to add captions to an uploaded video. From api.video (https://api.video)

Official Pytorch Implementation of 'LAVCap: LLM-based Audio-Visual Captioning using Optimal Transport' (ICASSP2025)

Online professional courses that are captioned and/or subtitled

[EMNLP 2025] VC4VG: Optimizing Video Captions for Text-to-Video Generation

Video Search using Natural Language

Generate TikTok— and Instagram—tailored captions and hashtags for your videos using the power of some super creative robots up in the clouds ☁️ 🤖 💬 ☁️