Football Action ANticipation Transformer (FAANTRA) for action anticipation in football broadcast videos

[CVPR'2024 Highlight] Official PyTorch implementation of the paper "VTimeLLM: Empower LLM to Grasp Video Moments".

[CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning

The implementation of a paper entitled "Action Knowledge for Video Captioning with Graph Neural Networks" (JKSUCIS 2023).

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

[ECCV24] VISA: Reasoning Video Object Segmentation via Large Language Model

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A benchmark for distribution shift in tabular data

Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

High-Resolution Image Synthesis with Latent Diffusion Models

Code-base for the paper "General Identifiability and Achievability for Causal Representation Learning"

Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

Effective Data Augmentation With Diffusion Models

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…

ORM for TypeScript and JavaScript. Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Server, Oracle, SAP Hana, WebSQL databases. Works in NodeJS, Browser, Ionic, Cordova and Electron platforms.