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drpengsong's Projects

2dpcal1-s icon 2dpcal1-s

Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.

aaai17-cdq icon aaai17-cdq

Code release of "Collective Deep Quantization of Efficient Cross-modal Retrieval" (AAAI 17)

absentkernel icon absentkernel

matlab code for "Multiple Kernel k-means with Incomplete Kernels"

activefer icon activefer

Official implementation of the paper "Active Learning with Contrastive Pre-training for Facial Expression Recognition", accepted in ACII'23.

ae2-nets icon ae2-nets

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

ag2e_multi_label icon ag2e_multi_label

AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.

alice icon alice

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

anuvab icon anuvab

This software was developed as part of reseach on human facial expression recognition in real time. Anuvab can detect and recognize six basic human expression,e.g.: Anger, Joy, Disgust, Fear, Sorrow, Surprise.

asc19-facesr icon asc19-facesr

The validation data and testing data for ASC19 face super resolution challenge

asc19-sisr icon asc19-sisr

validation imges for ASC19 preliminary single image super resolution challenge

asrt_speechrecognition icon asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

avec2018 icon avec2018

Baseline scripts of the 8th Audio/Visual Emotion Challenge (AVEC 2018)

avec2019 icon avec2019

Baseline scripts for the Audio/Visual Emotion Challenge 2019

awesome-deep-graph-anomaly-detection icon awesome-deep-graph-anomaly-detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

awesome-fer icon awesome-fer

Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU) 😠😣😨😀🙁😯😑

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