Datasets

Selected Theses

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Undergraduate: “Crowd Analysis and Exploration using Deep Recurrent Spatial-Aware Network”, Hongjun Wang, 2018

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Undergraduate: “Self-Learning Framework for Visual Recognition”, Xiaopeng Yan, 2017

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Undergraduate: “Face Alignment and Detection in Unconstrained Environment”, Yuan Xie, 2016

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Master: “Visual Saliency Analysis：Instance-level and Video Salient Object Segmentation”, Yuan Xie, 2019

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Master: “Knowledge Routed Visual Reasoning Models on Large-Scale Object Detection”, Chenhan Jiang, 2019

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Master: “Multi-level Structural Modeling for Fine-Grained Human Parsing”, Ke Gong, 2019

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Master: “Knowledge-EmbeddedRepresentationLearningforVisual RelationshipRecognition”, Weihao Yu, 2019

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Master: “Research on Hierarchical Semantic Embedding and Its Application on Fine-Grained Image Recognition “, Wenxi Wu, 2018

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Master: “Research On Person Image Analysis and Understanding: Person Search and Image Synthesis”, Bochao Wang, 2018

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Master: “Research on Deep Attentional Mechanism and It’s Applications on High-Level Large-Scale Image Understanding”, Zhouxia Wang, 2018

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Master: “Geometric Knowledge fused Recurrent Neural Network: a novel Approach for 3D Human Pose Estimation”, MuDe Lin, 2018

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Master: “Deep Deconvolution Network for Face Hallucination”, Yukai Shi, 2016

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Master: “Hierarchical Long Short-term Memory for Geometric Scene Parsing”, Zhanglin Peng, 2016

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Master: “Is Fast R-CNN Doing Well for Pedestrian Detection?”, Liliang Zhang, 2016

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Master: “Person Re-identification by Matching Compositional Template with Cluster Sampling”, Yuanlu Xu, 2014

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Master: “Efficient Non-Linear Filtering and Saliency Detection for Image Analysis”, Keyang Shi, 2014

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Master: “A Novel And-Or Graph Learning Method for Recognizing Objects with Large Appearance Variance”, Xiaolong Wang, 2014

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PhD: "Knowledge Representation Embedded Visual Reasoning: Models and Applications", Tianshui Chen, 2018

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PhD: “From Supervised to Self-driven : Learning with Big Visual Data for High Level Semantic Understanding”, Keze Wang, 2017

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PhD: “Deep Structural Models for Fine-grained Visual Parsing”, Xiaodan Liang, 2016

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PhD: “The Semantic Knowledge Embedded Deep Representation Learning and Its Applications on Visual Understanding”, Ruimao Zhang, 2017

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中山大学人机物智能融合实验室 Human Cyber Physical Intelligence Integration Lab

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