L
Lin Gu
Researcher at National Institute of Informatics
Publications - 80
Citations - 1414
Lin Gu is an academic researcher from National Institute of Informatics. The author has contributed to research in topics: Computer science & Hyperspectral imaging. The author has an hindex of 16, co-authored 55 publications receiving 699 citations. Previous affiliations of Lin Gu include Agency for Science, Technology and Research & Australian National University.
Papers
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Journal ArticleDOI
Understanding adversarial attacks on deep learning based medical image analysis systems
TL;DR: In this article, the authors provide a deeper understanding of adversarial examples in the context of medical images and find that medical DNN models can be more vulnerable to adversarial attacks compared to models for natural images, according to two different viewpoints.
Journal ArticleDOI
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss
TL;DR: This work introduces a novel pairwise loss function that enables ReID models to learn the fine-grained features by adaptively enforcing an exponential penalization on the images of small differences and a bounded penalization of large differences.
Journal ArticleDOI
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study
Wenhan Yang,Ye Yuan,Wenqi Ren,Jiaying Liu,Walter J. Scheirer,Zhangyang Wang,Taiheng Zhang,Qiaoyong Zhong,Di Xie,Shiliang Pu,Yuqiang Zheng,Yanyun Qu,Yuhong Xie,Liang Chen,Zhonghao Li,Chen Hong,Hao Jiang,Siyuan Yang,Yan Liu,Xiaochao Qu,Pengfei Wan,Shuai Zheng,Minhui Zhong,Taiyi Su,Lingzhi He,Yandong Guo,Yao Zhao,Zhenfeng Zhu,Jinxiu Liang,Jingwen Wang,Tianyi Chen,Yuhui Quan,Yong Xu,Bo Liu,Xin Liu,Qi Sun,Tingyu Lin,Xiaochuan Li,Feng Lu,Lin Gu,Shengdi Zhou,Cong Cao,Shifeng Zhang,Cheng Chi,Chubing Zhuang,Zhen Lei,Stan Z. Li,Shizheng Wang,Ruizhe Liu,Dong Yi,Zheming Zuo,Jianning Chi,Huan Wang,Kai Wang,Yixiu Liu,Xingyu Gao,Zhenyu Chen,Chang Guo,Yongzhou Li,Huicai Zhong,Jing Huang,Heng Guo,Jianfei Yang,Wenjuan Liao,Jiangang Yang,Liguo Zhou,Mingyue Feng,Likun Qin +67 more
TL;DR: The UG2+ challenge Track 2 competition in IEEE CVPR 2019 is launched, aiming to evoke a comprehensive discussion and exploration about whether and how low-level vision techniques can benefit the high-level automatic visual recognition in various scenarios.
Proceedings ArticleDOI
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping
TL;DR: This paper presents an efficient manifold learning based method for accurately reconstructing a hyperspectral image from a single RGB image captured by a commercial camera with known spectral response and shows that the spectra of natural scenes lie on an intrinsically low dimensional manifold.
Proceedings ArticleDOI
ShelfNet for Fast Semantic Segmentation
TL;DR: This paper presents ShelfNet, a novel architecture for accurate fast semantic segmentation which has multiple encoder-decoder branch pairs with skip connections at each spatial level, and proposes a shared-weight strategy in the residual block which reduces parameter number without sacrificing performance.