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3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015

作者： Li, Dangwei Chen, Xiaotang Huang, Kaiqi CRIPAC NLPR CASIA China CAS Center for Excellence in Brain Science and Intelligence Technology China

ISBN: (纸本)9781479961009

In real video surveillance scenarios, visual pedestrian attributes, such as gender, backpack, clothes types, are very important for pedestrian retrieval and person reidentification. Existing methods for attributes recognition have two drawbacks: (a) handcrafted features (e.g. color histograms, local binary patterns) cannot cope well with the difficulty of real video surveillance scenarios;(b) the relationship among pedestrian attributes is ignored. To address the two drawbacks, we propose two deep learning based models to recognize pedestrian attributes. On the one hand, each attribute is treated as an independent component and the deep learning based single attribute recognition model (DeepSAR) is proposed to recognize each attribute one by one. On the other hand, to exploit the relationship among attributes, the deep learning framework which recognizes multiple attributes jointly (DeepMAR) is proposed. In the DeepMAR, one attribute can contribute to the representation of other attributes. For example, the gender of woman can contribute to the representation oflong hair and wearing skirt. Experiments on recent popular pedestrian attribute datasets illustrate that our proposed models achieve the state-of-the-art results. © 2015 IEEE.

关键词： Local binary pattern

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Segmentation of mitochondria based on SEM images

Segmentation of mitochondria based on SEM images

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IEEE International Conference on Mechatronics and automation

作者： Weifu Li Qiang Rao Xi Chen Guoqing Li Dandan Zhang Institute of Automation Chinese Academy of Sciences Beijing China Applied Mathematics and the Faculty of Mathematics and Statistics Hubei University Wuhan China The Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences School of Computer Science and Technology Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781509023974

Recently, due to the rapid development of scanning electron microscope (SEM) with its very high resolution in three dimensions, we can look more closely into those fine structures related to brain function. However, high resolution will inevitably produce huge amounts of data. Considerable attention has been paid for the automated data analysis, which is massively lagging behind data acquisition. In this paper, we focus on the segmentation of mitochondria for its important role in neural function and its homogeneous shape as preferably corresponding landmarks for image registration. Different from previous methods, we present a coarse-to-fine strategy which utilizes the adaptive boosting (Adaboost) algorithm for detection, multi-layer information fusion for the connection across adjacent sections, and sparse region growing for fine segmentation. Finally we show the 3D visualization in ImageJ. Experimental results on automated tape-collecting ultramicrotome scanning electron microscopy (ATUM-SEM) images demonstrate the effectiveness of our proposed method.

关键词： Image segmentation Scanning electron microscopy Shape Image registration Cancer automation

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Actin Aggregations Mark the Sites of Neurite Initiation

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Neuroscience Bulletin 2016年第1期32卷 1-15页

作者： Shu-Xin Zhang Li-Hui Duan Hong Qian Xiang Yu Institute of Neuroscience State Key Laboratory of NeuroscienceCAS Center for Excellence in Brain Scienceand Intelligence TechnologyShanghai Institutes for Biological SciencesChinese Academy of SciencesShanghai 200031China University of the Chinese Academy of Sciences Beijing 100049China Department of Applied Mathematics University ofWashingtonSeattleWashington 98195USA

A salient feature of neurons is their intrinsic ability to grow and extend neurites, even in the absence of external cues. Compared to the later stages of neuronal development, such as neuronal polarization and dendrite morphogenesis, the early steps of neuritogenesis remain relatively unexplored. Here we showed that redistribution of cortical actin into large aggregates preceded neuritoge- nesis and determined the site of neurite initiation. Enhancing actin polymerization by jasplakinolide treat- ment effectively blocked actin redistribution and neurite initiation, while treatment with the actin depolymerizing agents latrunculin A or cytochalasin D accelerated neurite formation. Together, these results demonstrate a critical role of actin dynamics and reorganization in neurite initi- ation. Further experiments showed that microtubule dynamics and protein synthesis are not required for neurite initiation, but are required for later neurite stabilization. The redistribution of actin during early neuronal develop- ment was also observed in the cerebral cortex and hip- pocampus in vivo.

关键词： Neurite initiation Neuritogenesis Actinaggregations - Actin - Microtubules

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Mirrored non-maximum suppression for accurate object part localization 3

Mirrored non-maximum suppression for accurate object part lo...

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3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015

作者： Fu, Lianrui Zhang, Junge Huang, Kaiqi Center for Research on Intelligent Perception and Computing China National Laboratory of Pattern Recognition China CAS Center for Excellence in Brain Science and Intelligence Technology China Institute of Automation Chinese Academy of Sciences China

ISBN: (纸本)9781479961009

There has been significant progress in object part localization such as human pose estimation and facial landmark detection. In most of the previous methods, two phenomena are ignored. Firstly, they usually output a set of candidate pose hypotheses but the hypothesis with the highest score obtained by Non-Maximum Suppression (NMS) is not always the optimal result. Secondly, they can not get exactly bilaterally symmetric keypoints on the mirrored images even though the training data is always augmented with mirrored images. In fact, the intrinsic relationship between the original image and the mirrored one is helpful for object part localization. In this paper, we propose Mirrored Non-Maximum Suppression (Mirrored NMS) which can utilize mirrored detections to improve the accuracy of object part localization. Experimental results show that our method can improve the state-of-the-art accuracy by 1.3∼3.0% in PCP for human pose estimation and can produce more accurate results than averaging multiple hypotheses for facial landmark detection. © 2015 IEEE.

关键词： Face recognition

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Seeing Intact Neuronal Synapses by Correlative Cryo Electron Tomography and Light Microscopy

Seeing Intact Neuronal Synapses by Correlative Cryo Electron...

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第九届海内外华人神经科学家研讨会

作者： Changlu Tao Yuntao Liu Rong Sun Bin Zhang Lei Qi Sakar Shivakoti Chongli Tian Peijun Zhang Pakming Lau Z.Hong Zhou Guoqiang Bi National Laboratory for Physical Sciences at the Microscale CAS Center for Excellence in Brain Science and Intelligence Technology Innovation Center for Cell Signaling Network and School of Life SciencesUniversity of Science and Technology of China CAS Key Laboratory of Brain Function and Disease and School of Life Sciences University of Science and Technology of China Department of Structural Biology University of Pittsburgh School of Medicine Department of Microbiology Immunology and Molecular Genetics University of California The California Nano Systems Institute University of California

brain cognition relies on synapses, the basic functional units in neuronal circuits. Directly visualizing the organization of molecular machineries inside specific synapses is highly desirable but challenging due to synaptic heterogeneity. Here, we combined cryo electron tomography（cryo ET） with correlative light microscopy to identify specific synapses in intact hippocampal neurons and to analyze their three-dimensional ultrastructure. This approach allowed us to visualize the in situ organization of synaptic organelles and macromolecules in their native states. Quantitative measurements revealed two distinct profiles of the postsynaptic density for excitatory and inhibitory synapses. "Frisbee-shaped" ellipsoidal vesicles were observed in both synaptic types, with more in inhibitory synapses. Furthermore, high-resolution cryo ET analysis of individual synapses identified populations of membrane proteins, with sizes similar to those of glutamate and GABA receptors. These results demonstrate the applicability and potential of correlative cryo light and electron microscopy in the understanding of heterogeneous ultrastructures underlying distinct synaptic functions.

关键词： synaptic ultrastructures cryo-electron tomography correlative microscopy synaptic heterogeneity

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Principal affinity based cross-modal retrieval 3

Principal affinity based cross-modal retrieval

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3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015

作者： Liang, Jian Cao, Dong He, Ran Sun, Zhenan Tan, Tieniu Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences China

ISBN: (纸本)9781479961009

Multimedia content is increasingly available in multiple modalities. Each modality provides a different representation of the same entity. This paper studies the problem of joint representation of the text and image components of multimedia documents. However, most existing algorithms focus more on inter-modal connection rather than intramodal feature extraction. In this paper, a simple yet effective principal affinity representation (PAR) approach is proposed to exploit the affinity representations of different modalities with local cluster samples. Afterwards, multi-class logistic regression model is adopted to learn the projections from principal affinity representation to semantic labels vectors. Inner product distance is further used to improve cross-modal retrieval performance. Extensive experiments on three benchmark datasets illustrate that our proposed method obtains significant improvements over the state-of-the-art subspace learning based cross-modal methods. © 2015 IEEE.

关键词： Semantics

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Author Correction: Comprehensive integrative analyses identify GLT8D1 and CSNK2B as schizophrenia risk genes

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Nature communications 2018年第1期9卷 4905页

作者： Cui-Ping Yang Xiaoyan Li Yong Wu Qiushuo Shen Yong Zeng Qiuxia Xiong Mengping Wei Chunhui Chen Jiewei Liu Yongxia Huo Kaiqin Li Gui Xue Yong-Gang Yao Chen Zhang Ming Li Yongbin Chen Xiong-Jian Luo Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province Kunming Institute of Zoology Chinese Academy of Sciences 650223 Kunming Yunnan China. Kunming College of Life Science University of Chinese Academy of Sciences Kunming 650204 China. Department of Psychiatry The First Affiliated Hospital of Kunming Medical College 650031 Kunming Yunnan China. State Key Laboratory of Membrane Biology PKU-IDG/McGovern Institute for Brain Research School of Life Sciences Peking University 100871 Beijing China. State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research Beijing Normal University 100875 Beijing China. CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences 200031 Shanghai China. Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province Kunming Institute of Zoology Chinese Academy of Sciences 650223 Kunming Yunnan China. ybchen@***. Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences 650223 Kunming Yunnna China. ybchen@***. Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province Kunming Institute of Zoology Chinese Academy of Sciences 650223 Kunming Yunnan China. luoxiongjian@***. Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences 650223 Kunming Yunnna China. luoxiongjian@***.

In the original version of this Article, the affiliation details for Qiushuo Shen incorrectly omitted 'Kunming College of Life science, University of Chinese Academy of sciences, Kunming, 650204, China'. This ...

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CRISPR/cas9-mediated genome engineering of the ferret

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细胞研究（英文版） 2015年第12期25卷 1372-1375页

作者： Zhaohui Kou Qian Wu Xiaochen Kou Chonghai Yin Hong Wang Zhentao Zuo Yan Zhuo State Key Laboratory of Brain and Cognitive Science CAS Center for Excellence in Brain Science and Intelligence Technology (Shanghai)Beijing MRI Centre for Brain ResearchInstitute of BiophysicsChinese Academy of SciencesBeijing Institute for Brain DisordersBeijing 100101China Clinical and Translational Research Center of Shanghai First Maternity and Infant Health Hospital School of Life Sciences and TechnologyTongji UniversityShanghai 200092China

Dear Editor,Ferrets (Mustela putorius furo) have served as one of the most valuable animal models for recapitulating human disease since 1933 [1].This is because they show many similarities to humans in terms of physiological features of brain function and reproductive biology as well as pathological characteristics of various diseases such as cancer, influenza infection and cystic fibrosis [2-4].Despite these advantages, the current use of ferrets in research is significantly limited due to the lack of a method enabling precise genetic modification.

关键词： @@

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Scientific misconducts in the darkening gray zone

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National science Review 2015年第4期2卷 381-381页

作者： Mu-ming Poo CAS Center for Excellence in Brain Science and Intelligence Technology Excutive Associate Editor of NSR

Much atention has been given to three forms of scientiic misconducts known as falsiication,fabrication and plagiarism(FFP).Outright cases of FFP are rare,and once exposed,the consequences are *** frequent and hard to detect are questionable conducts in the gray zone,such as inappropriate data selection,analysis and presentation,misbehaviors in scientiic review and communication,and undue credit allocation in publications or other forms of research *** of these

关键词： Scientific misconducts in the darkening gray zone FFP

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Joint space learning for video-based face recognition 3

Joint space learning for video-based face recognition

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3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015

作者： Cao, Dong He, Ran Sun, Zhenan Tan, Tieniu Center for Research on Intelligent Perception and Computing CASIA China National Laboratory of Pattern Recognition CASIA China Center for Excellence in Brain Science and Intelligence Technology CAS China

ISBN: (纸本)9781479961009

Popularity of surveillance and mobile cameras provides great opportunities to video-based face recognition (VFR) in less-controlled conditions. This paper proposes a joint space learning method to simultaneously identify the most representative samples and discriminative features from facial videos for reliable face recognition. Specifically, we use a mixture modal by learning multiple feature spaces to capture the data variations where the representative samples in each subspace are learned. Actually, this procedure is a chick to egg problem and an alternate algorithm is developed to monotonically optimize the joint task. In addition, randomized techniques are applied to kernel approximations for capturing the nonlinear structure in data, so that both accuracy and efficiency of our method can be improved. The proposed method performs better than the state-of-the-art video based face recognition methods on Honda, Mobo and YouTube Celebrities databases. © 2015 IEEE.

关键词： Face recognition

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