Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

TOMM2020 Dual-Path Convolutional Image-Text Embedding with Instance Loss :feet: https://arxiv.org/abs/1711.05535

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

TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification

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

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

CVPR2015 Cascade CNNs for Face Detection

Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

Train your own data with MatConvNet

Code for several state-of-the-art papers in object detection and semantic segmentation.

Deep Learning on Image Denoising: An overview (Neural Networks, 2020)

Automatic EEG IC classification plugin for EEGLAB

Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"

k-Space Deep Learning for Accelerated MRI

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

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

[CVPR-2018] Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation

[ECCVW2018] A Memory Model based on the Siamese Network for Long-term Tracking (MMLT)

3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)

A neural network toolbox for matlab

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

Code release for "Differential Angular Imaging for Material Recognition", CVPR 2017.