ghimiredhikura
Ph.D. Computer Vision. Image Processing. Machine Learning. Research Professor, Soongsil University, South Korea.
Soongsil UniversitySeoul, Korea
Pinned Repositories
Awasome-Data-Free-ViT-Pruning
Data-Free-ViT-Pruning
Awasome-Pruning
Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.
Complex-YOLOv3
PyTorch implementation of Complex-YOLO paper with YoloV3
deep-learning-flask-api
Deep Leaning Model Deployment using Flask API
Eye-Color-Detection
Automatic Dominant Eye Color Detection in Image or Video
Install-OpenCV-with-Tesseract-Windows
Install OpenCV with Tesseract on Windows
KITTI-Point-Cloud-Utils
KITTI Point Cloud Utilities
laasp-filter-pruning
Deepak Ghimire, Kilho Lee, and Seong-heum Kim, Loss-aware automatic selection of structured pruning criteria for deep neural network acceleration, Image and Vision Computing, vol. 136, p. 104745, 2023.
msvsp-filter-pruning
Ghimire, D.; Kim, S.-H. Magnitude and Similarity Based Variable Rate Filter Pruning for Efficient Convolution Neural Networks. Appl. Sci. 2023; 13(1):316
Object-Detection-Study
Summary of the research papers, open source links and possible enhancements.
ghimiredhikura's Repositories
ghimiredhikura/Complex-YOLOv3
PyTorch implementation of Complex-YOLO paper with YoloV3
ghimiredhikura/Awasome-Pruning
Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.
ghimiredhikura/Eye-Color-Detection
Automatic Dominant Eye Color Detection in Image or Video
ghimiredhikura/KITTI-Point-Cloud-Utils
KITTI Point Cloud Utilities
ghimiredhikura/laasp-filter-pruning
Deepak Ghimire, Kilho Lee, and Seong-heum Kim, Loss-aware automatic selection of structured pruning criteria for deep neural network acceleration, Image and Vision Computing, vol. 136, p. 104745, 2023.
ghimiredhikura/msvsp-filter-pruning
Ghimire, D.; Kim, S.-H. Magnitude and Similarity Based Variable Rate Filter Pruning for Efficient Convolution Neural Networks. Appl. Sci. 2023; 13(1):316
ghimiredhikura/Install-OpenCV-with-Tesseract-Windows
Install OpenCV with Tesseract on Windows
ghimiredhikura/deep-learning-flask-api
Deep Leaning Model Deployment using Flask API
ghimiredhikura/Object-Detection-Study
Summary of the research papers, open source links and possible enhancements.
ghimiredhikura/Awasome-Data-Free-ViT-Pruning
Data-Free-ViT-Pruning
ghimiredhikura/yolo2_light_cpu
Light version of convolutional neural network Yolo v2 for objects detection with a minimum of dependencies (BIT1-XNOR-inference)
ghimiredhikura/ATS
Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)
ghimiredhikura/Awesome-Pruning
A curated list of neural network pruning resources.
ghimiredhikura/barlowtwins
PyTorch implementation of Barlow Twins.
ghimiredhikura/Brodmann17FaceDetector
Brodmann17 Deep Learning based highly efficient face detector working on ARM & x86 CPUs
ghimiredhikura/CHaiDNN
HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
ghimiredhikura/cpp-template
ghimiredhikura/EfficientDNNs
Collection of recent methods on (deep) neural network compression and acceleration.
ghimiredhikura/face_detection_evaluation
This repository consists of several face detection methods with performance evaluation.
ghimiredhikura/FD_Eval
Several Face Detection Methods Evaluation - Benchmarking
ghimiredhikura/ghimiredhikura
personal
ghimiredhikura/ghimiredhikura.github.io
ghimiredhikura/ImageNet-Evaluation-RaspberryPi3-4
ilsvrc2012 ImageNet Top-1, Top-5 Accuracy Benchmarking on 10K Validation Images
ghimiredhikura/jekyll-now
Build a Jekyll blog in minutes, without touching the command line.
ghimiredhikura/jetson_build_opencv
Build OpenCV on Nvidia Jetson
ghimiredhikura/Learning-OpenCV-5-Computer-Vision-with-Python-Fourth-Edition
Learning OpenCV 5 Computer Vision with Python, Fourth Edition, Published by Packt
ghimiredhikura/learnopencv
Learn OpenCV : C++ and Python Examples
ghimiredhikura/libfacedetection-vs2015
A fast binary library for face detection and face landmark detection in images. The face detection speed can reach 1500FPS. You can use it free of charge with any purpose.
ghimiredhikura/NCNNSFD
ncnn is a high-performance neural network inference framework optimized for the mobile platform. This fork includes how to use SFD model in this inference engine.
ghimiredhikura/Torch-Pruning
[CVPR-2023] Towards Any Structural Pruning; LLMs / Diffusion / YOLOv8 / CNNs / Transformers