Stars
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
TODS: An Automated Time-series Outlier Detection System
🍦 Speech-AI-Forge is a project developed around TTS generation model, implementing an API Server and a Gradio-based WebUI.
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
PyTorch implementation of Barlow Twins.
rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)
Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Enhance-A-Video: Better Generated Video for Free
[ECCV2020] A super-resolution dataset of paired LR-HR scene text images
[Neurips'24 Spotlight] Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning
The official code for "SegVol: Universal and Interactive Volumetric Medical Image Segmentation".
Benchmark Framework for fair evaluation of rPPG
[CVPR2024 Highlight] Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images
Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Annotations of key point location and vehicle orientation for VeRi-776 dataset. ICCV'17 paper: Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identificat…
Real-time Python demos of google mediapipe
🏆The 1st place solution of track3 (City-Scale Multi-Camera Vehicle Tracking) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.
This repo is developed for Strong Baseline For Vehicle Re-Identification in Track 2 Ai-City-2021 Challenges