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Name: 陈勇彪
Type: User
Company: Shanghai Jiaotong University
Bio: Creepy and erratic Ph.D in SJTU. Body builder= =
Location: Shanghai
Name: 陈勇彪
Type: User
Company: Shanghai Jiaotong University
Bio: Creepy and erratic Ph.D in SJTU. Body builder= =
Location: Shanghai
This is the repo for sharing the papers related to deep hashing research. It mainly includes deep supervised hashing and unsupervised hashing methods.
CVPR2019 Joint Discriminative and Generative Learning for Person Re-identification
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. ECCV'20 (Oral)
Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing
source code for paper "Deep Incremental Hashing Network for Efficient Image Retrieval" on CVPR-2019
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
Joint disentangle and synthesis for domain adaptation
Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"
A curated list of research papers related to learning disentangled representations
The code for Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval (ICCV 2019)
domain adaptation for cross-modal person REID with image -image translation
domain-adaptation-with-disentangled-representation
[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation
Doodle to Search: Practical Zero Shot Sketch Based Image Retrieval
Differentiable Product Quantization for End-to-End Embedding Compression.
Learning diverse image-to-image translation from unpaired data
Deep Supervised Cross-modal Retrieval (CVPR 2019, PyTorch Code)
Source code for paper "Deep Supervised Discrete Hashing" on NeurIPS-2017
EANet: Enhancing Alignment for Cross-Domain Person Re-identification
Code for the CVPR'19 paper "Explore-Exploit Graph Traversal for Image Retrieval"
Code and dataset for CVPR 2019 paper "Learning Binary Code for Personalized Fashion Recommendation"
This repository contains an implementation of the models introduced in the paper Dialog-based Interactive Image Retrieval. The network is implemented using PyTorch and the rest of the framework is in Python.
Code for CVPR 2019 paper "Deep Metric Learning to Rank"
A faster pytorch implementation of faster r-cnn
[NIPS-2018] FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.
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Data-Driven Documents codes.
China tencent open source team.