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zhangmin's Projects

adain-style icon adain-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

adaptsegnet icon adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

anynet icon anynet

Anytime Stereo Image Depth Estimation on Mobile Devices (ICRA 2019)

bridgedepthflow icon bridgedepthflow

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019

brnet icon brnet

(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds

bts icon bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

caffe icon caffe

Caffe: a fast open framework for deep learning.

cc icon cc

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch icon cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

connecting_the_dots icon connecting_the_dots

This repository contains the code for the paper "Connecting the Dots: Learning Representations for Active Monocular Depth Estimation" https://avg.is.tuebingen.mpg.de/publications/riegler2019cvpr

dain icon dain

Depth-Aware Video Frame Interpolation (CVPR 2019)

danet icon danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dcl icon dcl

Destruction and Construction Learning for Fine-grained Image Recognition

deeplidar icon deeplidar

Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

densetorch icon densetorch

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

dmra icon dmra

Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".

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