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20152023
most citedHierarchical Neural Architecture Search for Deep Stereo Matching

230 citations · 527 across the 33 of their papers we have counts for

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Showing 2020Show all

11 papers · 1 filter

cs.CV2020230 cited

Hierarchical Neural Architecture Search for Deep Stereo Matching

Xuelian Cheng, Yiran Zhong, Mehrtash Harandi +5

To reduce the human efforts in neural network design, Neural Architecture Search (NAS) has been applied with remarkable success to various high-level vision tasks such as classific…

cs.LG20209 cited

Self-Weighted Robust LDA for Multiclass Classification with Edge Classes

Caixia Yan, Xiaojun Chang, Minnan Luo +4

Linear discriminant analysis (LDA) is a popular technique to learn the most discriminative features for multi-class classification. A vast majority of existing LDA algorithms are p…

cs.CV20203 cited

Multi-view Drone-based Geo-localization via Style and Spatial Alignment

Siyi Hu, Xiaojun Chang

In this paper, we focus on the task of multi-view multi-source geo-localization, which serves as an important auxiliary method of GPS positioning by matching drone-view image and s…

cs.CV20201 cited

Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images

Zhen Yu, Jennifer Nguyen, Xiaojun Chang +5

Existing studies for automated melanoma diagnosis are based on single-time point images of lesions. However, melanocytic lesions de facto are progressively evolving and, moreover,…

cs.CV202021 cited

Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation

Mingjie Li, Fuyu Wang, Xiaojun Chang +1

Beyond the common difficulties faced in the natural image captioning, medical report generation specifically requires the model to describe a medical image with a fine-grained and…

cs.LG2020

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions

Pengzhen Ren, Yun Xiao, Xiaojun Chang +4

Deep learning has made breakthroughs and substantial in many fields due to its powerful automatic representation capabilities. It has been proven that neural architecture design is…