Name: Md Maklachur Rahman
Type: User
Company: Texas A&M University
Bio: I am a PhD Student at TAMU under Sketch Recognition Lab as RA. My research focuses on developing robust VOT and Semantic Segmentation framework using DL.
Location: College Station, TX, USA
Blog: https://maklachur.github.io/
Md Maklachur Rahman's Projects
Bangla tutorial, reference and resource list on programming topics
Code for the ECCV 2018 paper "Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection"
Making binary mask images from JSON annotation
CF trackers that you must read
Some exercises and problems in Introduction to Algorithms 3rd edition.
The purpose of this repository is to provide good insight to the Pytorch practitioner, especially for the newbie.
Deep Learning with TensorFlow – Second Edition, published by Packt
PyTorch implementation of Double Attention Net
The full collection of all codes for my Youtube Channel segregated as per topic.
A React component, Magnifier, enables users to upload images and inspect details via zoom-in. Integrated with a dynamic ruler, it's ideal for precision in design, education, or photography.
Personal webpage for the updated information.
বাংলায় মেশিন লার্নিং
Deploy person re-ID system with ResNet50 and improved by WGAN
Open Source Book "Learn Python in Bangla" - Nuhil Mehdy
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
PyTorch Tutorial for Deep Learning Researchers
Code for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"
Efficient Visual Tracking with Stacked Channel-Spatial Attention Learning
Siamese Box Adaptive Network for Visual Tracking
Tensorflow implementation of both training and evaluation process of SiameseFC from Luca's paper: https://www.robots.ox.ac.uk/~luca/siamese-fc.html
This work proposes a feature refined end-to-end tracking framework with a balanced performance using a high-level feature refine tracking framework. The feature refine module enhances the target feature representation power that allows the network to capture salient information to locate the target. The attention module is employed inside the feature refine mechanism to improve network discrimination power that augments the network ability to track the target in challenging scenarios.
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
The PyTorch version of Siamese ,SiamFC,SiamRPN,DaSiamRPN,UpdateNet,SiamDW,SiamRPN++, SiamMask,and SiamFC++
EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
Paper list for single object tracking (State-of-the-art SOT trackers)
[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking