Hossein Soleimani's Projects
J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM Transactions on Graphics (Proc. SIGGRAPH 2015), 34(4), pp. 66:1–66:11, 2015
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Images to inference with no labeling (use foundation models to train supervised models)
:books: A collection of edge/contour/boundary detection papers and toolbox.
The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection
Detecting cases with Covid-19 from health ones using CT scans
My completed implementation solutions for CS224N 2019
PyTorch implementations of deep reinforcement learning algorithms and environments
How to deploy ONNX models using DeepStream on Jetson Nano
A collection of various deep learning architectures, models, and tips
NVIDIA DeepStream SDK 6.0 configuration for YOLO models
Tensorflow Implementation of Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection *WACV2020*
Config files for my GitHub profile.
Learn OpenCV : C++ and Python Examples
This is an unofficial PyTorch re-implementation of paper "Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network" published in ICCV 2019.
https://ieeexplore.ieee.org/abstract/document/9252130
[CVPR'19]PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
Pytorch implementation of HED
Semantic Segmentation Architectures Implemented in PyTorch
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."