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Hi there šŸ‘‹

  • šŸ”­ Iā€™m currently working as a Research Professor in Soongsil University, South Korea.
  • šŸ‘Æ Iā€™m looking to collaborate on lightweight deep learning (model compression) based research.

Languages and tools šŸ’¬

Python C++ Tensorflow Pytorch OpenCV OpenVINO GitHub



Here's my GitHub stats


You can also reach me on šŸ“«

Deepak | LinkedIn Deepak | Github Deepak | LinkedIn



Deepak Ghimire's Projects

ats icon ats

Adaptive Token Sampling for Efficient Vision Transformers (ECCV 2022 Oral Presentation)

awasome-pruning icon awasome-pruning

Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.

chaidnn icon chaidnn

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

cv-tricks.com icon cv-tricks.com

Repository for all the tutorials and codes shared at cv-tricks.com

demosaicnet icon demosaicnet

An implementation of Deep Joint Demosaicking and Denoising - SiGGRAPH Asia 2016

efficientdnns icon efficientdnns

Collection of recent methods on (deep) neural network compression and acceleration.

faceboxes icon faceboxes

FaceBoxes: A CPU Real-time Face Detector with High Accuracy

fd_eval icon fd_eval

Several Face Detection Methods Evaluation - Benchmarking

installation icon installation

Installation guide for various type of tools and libraries, specially in AI filed.

jekyll-now icon jekyll-now

Build a Jekyll blog in minutes, without touching the command line.

laasp-filter-pruning icon 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.

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