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YHu's Projects

bilinear-cnn icon bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

cnniqa icon cnniqa

CVPR2014-Convolutional neural networks for no-reference image quality assessment

conv-autoencoder icon conv-autoencoder

Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow

dain icon dain

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

deephdr icon deephdr

This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)

dren icon dren

DREN:Deep Rotation Equivirant Network

flower-recognition icon flower-recognition

🌺🌻 Using state-of-the-art pre-trained Deep Neural Net architectures for Flower Species Recognition

motion-flow-syn icon motion-flow-syn

Motion flow and corresponding blurry image synthesis. Training data generation for "From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur (CVPR'17)".

segnet-tutorial icon segnet-tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

sparsenet icon sparsenet

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

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