Eduardo Andrade's Projects
TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
This repository contains the Systematic Mapping Review derivated files of the "Adversarial attacks and defenses in person search: A systematic mapping and taxonomy" paper.
[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114
This is a pytorch implementation of the CVPR2020 paper: Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
The code of "Adversarial Metric Attack for Person Re-identification"
[TIP2020] Adaptive Graph Representation Learning for Video Person Re-identification
Adversarially Robust Neural Network on MNIST.
A pytorch implementation of using DARTS to search better structure for Re-ID
Awesome Person Re-identification
Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)
*** Código utilizado como parte do trabalho de Sistemas Ubíquos ***
A challenge to explore adversarial robustness of neural networks on CIFAR10.
code
A method for training neural networks that are provably robust to adversarial attacks.
Custom Mask RCNN using Tensorflow object detection API
(CVPR) Resource Aware Person Re-identification across Multiple Resolutions
Code for our ICCV 2019 paper, Deep Constrained Dominant Sets for Person Re-Identification
Torchreid: Deep learning person re-identification in PyTorch.
Aggregating Deep Pyramidal Representations for Person Re-Identification, CVPR2019
A PyTorch implementation of DenseNet.
ICCV2017 The Person re-ID Evaluation Code for DukeMTMC-reID Dataset (Including Dataset Download)
An unofficial rules engine for the world's greatest card game.
Breaking High-level representation Guided Denoiser (Liao et al. 2018)
Deep Learning for humans
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification