[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

SiamMOT: Siamese Multi-Object Tracking

Code release for ActionFormer (ECCV 2022)

Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

Video-based object counting software.

⚡ 一款用于自动语音识别 (ASR)、翻译的高性能异步 API。不需要购买Whisper API，使用本地运行的Whisper模型进行推理，并支持多GPU并发，针对分布式部署进行设计。还内置了包括TikTok、抖音等社交媒体平台的爬虫，可实现来自多个社交平台的无缝媒体处理，为媒体内容数据自动化处理提供了强大且可扩展的解决方案。

Video and Image Analytics for Multiple Environments

Codebase for CVPR2020 A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

[NeurIPS 2021 Spotlight] Official implementation of Long Short-Term Transformer for Online Action Detection

Useful Toolbox for Anomaly Detection

An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim

To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper

A short script showing how to build simple real-time video analytics apps using YOLOv8 and Supervision. Try it out, and most importantly have fun! 🤪

Analyzing CCTV videos to find interesting events

Official Tensorflow Implementation of the AAAI-2020 paper "Temporally Grounding Language Queries in Videos by Contextual Boundary-aware Prediction"

Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video (AAAI2020)

This repo contains an implementation code for the weakly supervised surgical tool tracker. In this research, the temporal dependency in surgical video data is modeled using a convolutional LSTM which is trained only on image level labels to detect, localize and track surgical instruments.

[CVPR 2025] Official implementation of "Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity"