Zhedong Zheng

Person_reID_baseline_pytorch. :bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

University1652-Baseline. ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.

Vehicle_reID-Collection. :red_car: the collection of vehicle re-ID papers, datasets. :red_car:

AICIty-reID-2020. :red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)

Seg-Uncertainty. IJCAI2020 & IJCV2021 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

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

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

person-reid-3d. TNNLS'22 :statue_of_liberty: Parameter-Efficient Person Re-identification in the 3D Space :statue_of_liberty:

2016_person_re-ID. TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification

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

Person-reID-triplet-loss. Person re-ID baseline with triplet loss

2015_Face_Detection. CVPR2015 Cascade CNNs for Face Detection

Person-reID-verification. :koala: (pytorch version) TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification :koala:

3D-Magic-Mirror. :dress: [npj AI] 3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective:dress: Single-View 3D Reconstruction

2016_super_resolution. ICCV2015 Image Super-Resolution Using Deep Convolutional Networks

Awesome-Fools. :skull: A collection of methods to fool the deep neural network :skull:

U_turn. IJCV22 :see_no_evil: Attack your retrieval model via Query! They are not robust as you expected! :hear_no_evil:

AdaBoost_Seg. TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? :woman_shrugging: Why not ! :ok_woman:

2016_GAN_Matlab. Generative Adversarial Nets for Matlab

visualize_matconvnet. A simple code to visualize net for matconvnet.

hmr. Project page for End-to-end Recovery of Human Shape and Pose

HQ-Market. Market-1501 dataset with super-resolution quality

2016_Artist_Style. Using CNN to create 'famous painting' with Matlab code

Awesome-Text2Motion-Generation. Awesome-Text2Motion-Generation

DukeMTMC-reID_baseline. DukeMTMC-reID_baseline (Matlab)

UTS-Person-reID-Practical. UTS Person-reID Practical By Zhedong Zheng

matlab_email_demo. a easy solution for baby sitting program!!! (MATLAB)

ACMMM2023Workshop. UAVM @ ACM MM2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective

Image-Retrieval-by-Finetuning-CNN. Code for project

NLP-AICity2021. The 1st Place Submission to AICity Track5 - Natural Language-based Vehicle Retrieval.

DCGAN-tensorflow. A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

UAVM2023. ACM MM Workshop on UAVs in Multimedia: Capturing the World from a New Perspective (UAVM 2023)

Person_reID_baseline_matconvnet. Matconvnet implement of Person re-identification baseline. We arrived Rank@1=87.74% mAP=69.46% only with softmax loss.

ICME2022SS. ICME2022 Special Session “Beyond Accuracy: Responsible, Responsive, and Robust Multimedia Retrieval ”

To-Academic-Newcomers.

bhtsne. Barnes-Hut t-SNE

DCGAN-pytorch. Pytorch implement of DCGAN and LSGAN

awesome-domain-adaptation. A collection of AWESOME things about domian adaptation

University1652-triplet-loss. triplet loss with hard negative / soft margin for the University-1652 dataset.

Robust-GPUs. Python

DeepLearning-500-questions. 深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

2016_Class_Activation_Mapping. semantic segmentation in MATLAB

ECCV2024-Papers-with-Code. ECCV 2024 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2024论文和开源项目

layumi.github.io. Zhedong Zheng Homepage https://www.zdzheng.xyz

market1501_body_point. MATLAB

Cifar10-Adaboost. Python

awesome-aigc. A list of awesome AIGC works

Oxford-Paris-Attack. :see_no_evil: We added our attacking method ODFA (https://arxiv.org/abs/1809.02681). The performance drops from 88.2% to 2.24% on Oxford. :hear_no_evil:

Matlab_TripletLoss. Matlab_TripletLoss

pytorch-mnist. Draw mnist

PerceptualSimilarity. Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.

DG-Net. Joint Discriminative and Generative Learning for Person Re-identification, CVPR 2019 (Oral)

ACMMM2024Workshop-UAV.

Awesome-Avatars. List of recent advances for human avatars, including generation, reconstruction, and editing, etc.

PiPa. Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation