CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"
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Updated
Nov 3, 2021 - Python
CVPR 2020, "FPConv: Learning Local Flattening for Point Convolution"
Keras w/ Tensorflow backend implementation for 3D channel-wise convolutions
Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone
Reposing Humans by Warping 3D Features
Tensorflow implementation of a 3D-CNN U-net with Grid Attention and DSV for pancreas segmentation trained on CT-82.
A Pytorch implementation of The Visual Centrifuge: Model-Free Layered Video Representations.
A General Medical Image Segmentation Framework.(Multi-Modal, Mono-Modal, 2D, 3D)
Efficient video action recognition using hybrid techniques: combining ORB, SIFT, and deep models like VideoMAE and (2+1)D Conv to reduce data size while maintaining performance.
CropMapping of Partially Anotated Time Series Satellite Images with 3D Convolutional Neural Networks
This repository contains the codes and research report for the Box Office Return Prediction Research Project developed during the International Masters in Data Analytics at the University of Hildesheim.
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