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zlj2015106's Projects

adversarial_video_summary icon adversarial_video_summary

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

ae2-nets icon ae2-nets

code of AE^2-Nets (Autoencoder in Autoencoder Networks)

c2ae icon c2ae

The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017

camel icon camel

The implementation of the paper 'Collaboration based Multi-Label Learning' in AAAI 2019

camp_iccv19 icon camp_iccv19

CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval

clip-glass icon clip-glass

Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"

cpm_nets icon cpm_nets

The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]

csmlc icon csmlc

Cost-Sensitive Multi-Label Classification

eccv2018_j-play icon eccv2018_j-play

Danfeng Hong, Naoto Yokoya, Jian Xu, Xiaoxiang Zhu. Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification, ECCV, 2018.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gacnet icon gacnet

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

groupnorm-reproduce icon groupnorm-reproduce

An official collection of code in different frameworks that reproduces experiments in "Group Normalization"

hyperim icon hyperim

PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"

llsf icon llsf

Learning label-specific features for multi-label classification (ICDM'15)

lmll-pop icon lmll-pop

MATLAB code for paper "Learning compact model for large-scale multi-label data"

low-rank-multimodal-fusion icon low-rank-multimodal-fusion

This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018

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