Search Results - "Lin, Guosheng"

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields by Fayao Liu, Chunhua Shen, Guosheng Lin, Reid, Ian

“…In this article, we tackle the problem of depth estimation from single monocular images. Compared with depth estimation using multiple images such as stereo…”
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RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation by Guosheng Lin, Milan, Anton, Chunhua Shen, Reid, Ian

“…Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense…”
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A Dilated Inception Network for Visual Saliency Prediction by Yang, Sheng, Lin, Guosheng, Jiang, Qiuping, Lin, Weisi

“…Recently, with the advent of deep convolutional neural networks (DCNN), the improvements in visual saliency prediction research are impressive. One possible…”
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Deep convolutional neural fields for depth estimation from a single image by Fayao Liu, Chunhua Shen, Guosheng Lin

“…We consider the problem of depth estimation from a single monocular image in this work. It is a challenging task as no reliable depth cues are available, e.g.,…”
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Exploring Context with Deep Structured Models for Semantic Segmentation by Guosheng Lin, Chunhua Shen, van den Hengel, Anton, Reid, Ian

“…We propose an approach for exploiting contextual information in semantic image segmentation, and particularly investigate the use of patch-patch context and…”
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Supervised Hashing Using Graph Cuts and Boosted Decision Trees by Guosheng Lin, Chunhua Shen, van den Hengel, Anton

“…To build large-scale query-by-example image retrieval systems, embedding image features into a binary Hamming space provides great benefits. Supervised hashing…”
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A General Two-Step Approach to Learning-Based Hashing by Guosheng Lin, Chunhua Shen, Suter, David, Van Den Hengel, Anton

“…Most existing approaches to hashing apply a single form of hash function, and an optimization process which is typically deeply coupled to this specific form…”
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Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation by Lin, Guosheng, Shen, Chunhua, van den Hengel, Anton, Reid, Ian

“…Recent advances in semantic image segmentation have mostly been achieved by training deep convolutional neural networks (CNNs). We show how to improve semantic…”
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Fast Supervised Hashing with Decision Trees for High-Dimensional Data by Guosheng Lin, Chunhua Shen, Qinfeng Shi, van den Hengel, Anton, Suter, David

“…Supervised hashing aims to map the original features to compact binary codes that are able to preserve label based similarity in the Hamming space. Non-linear…”
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Fast Training of Triplet-Based Deep Binary Embedding Networks by Bohan Zhuang, Guosheng Lin, Chunhua Shen, Reid, Ian

“…In this paper, we aim to learn a mapping (or embedding) from images to a compact binary space in which Hamming distances correspond to a ranking measure for…”
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Bootstrapping the Performance of Webly Supervised Semantic Segmentation by Shen, Tong, Lin, Guosheng, Shen, Chunhua, Reid, Ian

“…Fully supervised methods for semantic segmentation require pixel-level class masks to train, the creation of which is expensive in terms of manual labour and…”
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Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds by Wei, Jiacheng, Lin, Guosheng, Yap, Kim-Hui, Hung, Tzu-Yi, Xie, Lihua

“…Point clouds provide intrinsic geometric information and surface context for scene understanding. Existing methods for point cloud segmentation require a large…”
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Structured Learning of Tree Potentials in CRF for Image Segmentation by Liu, Fayao, Lin, Guosheng, Qiao, Ruizhi, Shen, Chunhua

“…We propose a new approach to image segmentation, which exploits the advantages of both conditional random fields (CRFs) and decision trees. In the literature,…”
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Discriminative Training of Deep Fully Connected Continuous CRFs With Task-Specific Loss by Liu, Fayao, Lin, Guosheng, Shen, Chunhua

“…Recent works on deep conditional random fields (CRFs) have set new records on many vision tasks involving structured predictions. Here, we propose a fully…”
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Protective effect of coptisine free base on indomethacin-induced gastric ulcers in rats: Characterization of potential molecular mechanisms by Luo, Chaodan, Chen, Hanbin, Wang, Yongfu, Lin, Guosheng, Li, Cailan, Tan, Lihua, Su, Ziren, Lai, Xiaoping, Xie, Jianhui, Zeng, Huifang

“…The aim of this study was to comparatively investigate the potential gastroprotective effect and underlying mechanisms of coptisine free base (CFB,…”
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Obligate ligation-gated recombination (ObLiGaRe): custom-designed nuclease-mediated targeted integration through nonhomologous end joining by Maresca, Marcello, Lin, Victor Guosheng, Guo, Ning, Yang, Yi

“…Custom-designed nucleases (CDNs) greatly facilitate genetic engineering by generating a targeted DNA double-strand break (DSB) in the genome. Once a DSB is…”
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StructBoost: Boosting Methods for Predicting Structured Output Variables by Shen, Chunhua, Lin, Guosheng, Hengel, Anton van den

“…Boosting is a method for learning a single accurate predictor by linearly combining a set of less accurate weak learners. Recently, structured learning has…”
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Character and laxative activity of polysaccharides isolated from Dendrobium officinale by Luo, Dandan, Qu, Cao, Lin, Guosheng, Zhang, Zhenbiao, Xie, Jianhui, Chen, Hanbin, Liang, Jiali, Li, Cailan, Wang, Hongfeng, Su, Ziren

“…•D. officinale polysaccharides (DOP) were mainly composed of d-mannose and d-glucose.•DOP were the laxative ingredients of D. officinale.•DOP promoted…”
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Therapeutic potential of Pien Tze Huang in colitis-associated colorectal cancer: mechanistic insights from a mouse model by Liu, Liya, Chen, Youqin, Liu, Sijia, Zhang, Xinran, Cao, Liujing, Wu, Yulun, Han, Yuying, Lin, Guosheng, Wei, Lihui, Fang, Yi, Sferra, Thomas J, Jafri, Anjum, Liu, Huixin, Li, Li, Shen, Aling

“…Pien Tze Huang (PZH), a traditional Chinese medicine formulation, is recognized for its therapeutic effect on colitis and colorectal cancer. However, its…”
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Multi-octave two-color soliton frequency comb in integrated chalcogenide microresonators by Cheng, Huanjie, Lin, Guosheng, Xia, Di, Luo, Liyang, Lu, Siqi, Yu, Changyuan, Zhang, Bin

“…Mid-infrared (MIR) Kerr microcombs are of significant interest for portable dual-comb spectroscopy and precision molecular sensing due to strong molecular…”
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