Multi-view CNN (MVCNN) for shape recognition

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Dynamic Image Networks for Action Recognition

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

Weakly Supervised Deep Detection Networks (CVPR 2016)

MR-CNNs for Large-Scale Scene Recognition

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

Sign Language Recognition using WiFi and Convolutional Neural Networks

This example shows how to build and train a convolutional neural network (CNN) from scratch to perform a classification task with an EEG dataset.

k-Space Deep Learning for Accelerated MRI

Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems

Convolutional Neural Networks for Object Classification done as a course project for CS663 Digital Image Processing

TUM_MLMI_SS16: Convolutional Neural Network using U-Net architecture to predict one modality of a brain MRI scan from another modality.

This repository contains the source codes of the article published to detect changes in ECG caused by COVID-19 and automatically diagnose COVID-19 from ECG data.

[PNAS'18] Recurrent computations for visual pattern completion: Classification of occluded images in humans and recurrent neural networks