ZhangLeUestc
PhD: Nanyang Technological University BEng: University of Electronic Science and Technology of China
Advanced Digital Sciences Center, SingaporeSingapore
Pinned Repositories
Action_Recognition_Reading_List
ActionVLAD
ActionVLAD for video action classification (CVPR 2017)
CRVFLEn
Visual Tracking with Convolutional Random Vector Functional Link Network
ECOC_CNN
Incremental-Oblique-Random-Forest
PersEmoN
PersEmoN: A Deep Network for Joint Analysis of Apparent Personality, Emotion and Their Relationship
pytorch-beginner
pytorch tutorial for beginners
Robust-Visual-Tracking-via-Co-trained-Kernelized-Correlation-Filters
SalBenchmark
Salient object detection Benchmark
VideoReid-TPAMI2020
Ordered or Orderless: A Revisit for Video based Person Re-Identification (T-PAMI 2020)
ZhangLeUestc's Repositories
ZhangLeUestc/CRVFLEn
Visual Tracking with Convolutional Random Vector Functional Link Network
ZhangLeUestc/SalBenchmark
Salient object detection Benchmark
ZhangLeUestc/Action_Recognition_Reading_List
ZhangLeUestc/Caffe_Manual
Caffe使用教程
ZhangLeUestc/compact_bilinear_pooling
MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added
ZhangLeUestc/DCGAN-tensorflow
A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
ZhangLeUestc/MCL_Caffe
ZhangLeUestc/MTDnet
ZhangLeUestc/NeuralNetTests
Practices for machine learning
ZhangLeUestc/nofe-caffe
Network of Experts (NoFE) caffe implementation
ZhangLeUestc/OpenCV-Rotate-and-Crop
Script to automatically rotate, straighten and crop a set of JPG files in a folder.
ZhangLeUestc/Random-Forest-Matlab
A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.
ZhangLeUestc/Rank-based-Pooling-for-Deep-Convolutional-Neural-Networks
The codes for "Rank-based Pooling for Deep Convolutional Neural Networks."
ZhangLeUestc/ResNeXt
Reproduce ResNet-v3(Aggregated Residual Transformations for Deep Neural Network)
ZhangLeUestc/siamese_net
This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.
ZhangLeUestc/svm-struct-matlab
A MATLAB wrapper of SVM^struct
ZhangLeUestc/transfer-caffe
caffe for transfer learning
ZhangLeUestc/Weighted_Softmax_Loss
Weighted Softmax Loss Layer for Caffe