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MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…
Source code for DCL-Net, a deep learning model for sensorless freehand 3D ultrasound volume reconstruction.
Slides and material for Xilinx bootcamp
The manuscript titled "Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm" has been accepted in IEEE Transactions on Medical Imaging.
Single and Multiple Object Tracking Based on Kalman Filter
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
[CVPR 2023] Guided Depth Super-Resolution by Deep Anisotropic Diffusion
Multiple Object Tracking Using Deep Learning and Kalman Filter
Using Disparity Map and Optical Flow info to extract features from the detected objects from maskRCNN.
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Official PyTorch implementation of LongVideoGAN
High quality, fast, modular reference implementation of SSD in PyTorch
Structure from motion estimation using unsupervised deep learning
PyTorch implementations of Generative Adversarial Networks.
Understanding Deep Learning - Simon J.D. Prince
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).