Ihsan149
Phd Research Scholar at DGIST. Interested in Computer Vision and Deep Learning,
Daegu Gyeongbuk Institute of Science and Technology (DGIST)Daegu South Korea
Pinned Repositories
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for meidcal image segmentation
CNN-2D-X-Ray-Catheter-Detection
Catheter segmentation in X-Ray fluoroscopy using convolutional neural networks.
EVA-Vidoe-Labling-Software
Video Labeling software for detection and tracking in videos
frangi_filter
Compute the likeliness of an image region to vessels or ridges
Guidewire-Robot-Tip-Tracking
Real-time Tracking of Guidewire Robot Tips using Deep Convolutional Neural Networks on Successive Localized Frames
IE803_Spring_2024
This course provides a comprehensive exploration of Applied Artificial Intelligence (AI) in the context of intelligent robotic systems.
kaggle-ultrasound-nerve-segmentation
kaggle ultrasound segmentation, classification net + segmentation net
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Udacity-SDCND-Vehicle-Detection
Ihsan149's Repositories
Ihsan149/IE803_Spring_2024
This course provides a comprehensive exploration of Applied Artificial Intelligence (AI) in the context of intelligent robotic systems.
Ihsan149/EVA-Vidoe-Labling-Software
Video Labeling software for detection and tracking in videos
Ihsan149/ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Ihsan149/Fast-Symmetric-Diffeomorphic-Image-Registration-with-Convolutional-Neural-Networks
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks
Ihsan149/ihsan149.github.io
Ihsan personal websites
Ihsan149/neural_renderer
A PyTorch port of the Neural 3D Mesh Renderer
Ihsan149/open_cv_CAMERA_STREAMLIT
Ihsan149/PCS-FUDA
Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"
Ihsan149/PIT-Position-Invariant-Transform
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
Ihsan149/pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
Ihsan149/Prototypical-Graph-DA
[TMI' 21] Graph-based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge
Ihsan149/PyTorch-learners-tutorial
PyTorch tutorial for learners
Ihsan149/PyTorchDL_GTA5
This is the repository for loading GTA5 Dataset with PyTorch
Ihsan149/pytracking
Visual tracking library based on PyTorch.
Ihsan149/ResUNetPlusPlus-with-CRF-and-TTA
ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)
Ihsan149/Self-Supervised-Depth-Estimation-for-Colonoscopy
Public code for paper "Depth Estimation for Colonoscopy Images with Self-Supervised Learning from Videos"; the code and dataset will release soon.
Ihsan149/sense
Enhance your application with the ability to see and interact with humans using any RGB camera.
Ihsan149/siamese-segmentation
Image co-segmentation with a Siamese Neural Network based off of CoSegNet
Ihsan149/sorting_string
Ihsan149/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Ihsan149/STCN
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Ihsan149/STMTrack
STMTrack: Template-free Visual Tracking with Space-time Memory Networks
Ihsan149/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
Ihsan149/Surveilia-Backend
FYP (Anomaly Detection)
Ihsan149/temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
Ihsan149/TPS
[ECCV 2022] Domain Adaptive Video Segmentation via Temporal Pseudo Supervision
Ihsan149/Training-Code-of-STM
Training code of Spatial Time Memory Network. Semi-supervised video object segmentation.
Ihsan149/UncerGuidedI2I
Uncertainty Guided Progressive GANs for Medical Image Translation
Ihsan149/Video-Dataset-Loading-Pytorch
Generic PyTorch dataset implementation to load and augment VIDEOS during Training.
Ihsan149/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch