Name: Wahyu Rahmaniar
Type: User
Company: Tokyo Institute of Technology
Bio: My research interests include artificial intelligence, medical imaging, computer vision, image processing, and robotics.
Twitter: wahyurahmaniar
Location: Tokyo, Japan
Blog: https://wahyurahmaniar.github.io/
Wahyu Rahmaniar's Projects
Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral)
Face detection using deep learning.
Rethinking Classification and Localization for Object Detection
Discriminative and Robust Online Learning for Siamese Visual Tracking [AAAI2020]
Instructions and baseline code for the DukeMTMC-VideoReID dataset
Easycap viewer for android
Deep Learning to Improve Breast Cancer Detection on Screening Mammography
EPnP: Efficient Perspective-n-Point Camera Pose Estimation
Experimenting with sort different classical tracking algorithms for real time multiple object tracking (MOT)
Official EXTD Pytorch code
Detecting and counting small objects - Analysis, review and application to counting
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A Keras + TensorFlow implementation of the CVPR 2016 paper "Eye Tracking for Everyone"
Face detection with darknet on WIDER FACE
face-detection-ssd-mobilenet-tensorflow
Face detection with mobilenet-ssd written by tf.keras.
Implementation of Face-recognition system using Inception Network and Siamese Network
These are a set of tools using OpenCV, Tensorflow and Keras, with which you can generate your own model of facial landmark detection and demonstrate the effect of newly-generated model easily.
🚀 😏 Near Real Time CPU Face detection using deep learning
Face recognition using Tensorflow
This is a modified and simplified inference engine of davidsandberg's facenet
A collection of facial landmark datasets and Python code to make use of them.
A TensorFlow implementation of HRNet for facial landmark detection.
Facial landmarks detection with OpenCV, Dlib, DNN
Implementation of Facial Recognition System Using Facenet based on One Shot Learning Using Siamese Networks
Code release for "Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene"
A simple baseline for one-shot multi-object tracking
Vision-Based Fallen Person Detection for the Elderly
SOTA Re-identification Methods and Toolbox