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HAPNet: a head-aware pedestrian detection network associated with the affinity field

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Science China(Information Sciences) 2022年第6期65卷 17-32页

作者： Jiali DING Tie LIU Yun ZHAO zejian yuan yuanyuan SHANG College of Information Engineering Capital Normal University College of Artificial Intelligence Xi'an Jiaotong University

Pedestrian detection has made great progress with the rapid development of deep learning, but pedestrian detection under occlusion remains a challenge. To solve the occlusion problem, some research endeavors have been carried out based on visible parts, such as the body, but there is still substantial room for improvement due to the introduction of additional calculation. Aiming to improve the detection performance under occlusion, this paper proposes a head-aware pedestrian detection network(HAPNet) by using the inherent structural relationship between the human body and head. The postprocessing stage is redesigned to include a scoring module and an augmented non-maximum suppression(NMS) ***, HAPNet detects head and body simultaneously through different layers of a feature map. We then propose a head-side affinity model, which can represent the association between the head and body sides. Detection and affinity prediction tasks are implemented through different branches of HAPNet. In the scoring module, the head and body detection scores are fused to match the head-body pairs to improve the detection performance. On this basis, an enhanced NMS algorithm is proposed, which achieves a good balance between reducing false positives and missing detection. The experimental results verify the effectiveness of this method in pedestrian detection under occlusion.

关键词： pedestrian detection head detection head-aware pedestrian network affinity module occlusion

Automatic salient object sequence rebuilding for video segment analysis

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Science China(Information Sciences) 2018年第1期61卷 249-260页

作者： Tie LIU Haibin DUAN yuanyuan SHANG zejian yuan Nanning ZHENG School of Automation Science and Electrical Engineering Beihang University Information Engineering College Capital Normal University The School of Electronic and Information Engineering Xi'an Jiaotong University

Detection of salient object sequences from video data is challenging when the salient object changes between consecutive frames. In this study, we addressed the salient object sequence rebuilding problem with video segment analysis. We reformulated the problem as a binary labeling problem, analyzed the potential salient object sequences in the video using a clustering method, and separated the salient object sequence from the background by applying an energy optimization method. Our proposed approach determines whether temporal consecutive pixels belong to the same salient object sequence. The conditional random field is then learned to effectively integrate the salient features and the sequence consecutive constraints.A dynamic programming algorithm was developed to resolve the energy minimization problem *** results confirmed the ability of our approach to address the salient object rebuilding problem in automatic visual attention applications and video content analysis.

关键词： salient object video attention sequence segment analysis conditional random model

Robust monocular SLAM towards motion disturbance

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Chinese Science Bulletin 2014年第17期59卷 2050-2056页

作者： Wei Liu Nanning Zheng zejian yuan Pengju Ren Tao Wang Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University AVIC Xi’an Flight Automatic Control Research Institute

The standard extended Kalman filter-based simultaneously localization and mapping(EKF-SLAM)algorithm has a drawback that it could not handle the sudden motion caused by the motion *** prevents the SLAM system from real *** techniques have been developed to make the system more robust to the motion *** this paper,we propose a robust monocular SLAM ***,when the motion model-based system failed to track the features,a KLT tracker will be activated for each ***,the KLT tracked features are used to update the camera ***,the difference between the camera states and the predictions is used to adjust the input motion ***,we do the standard EKF-SLAM with the new input motion *** order to make the system more reliable,a joint compatibility branch and bound algorithm are used to check the outliers,and an IEKF filter is used to make the motion estimation smoother when the camera encounters sudden *** experiments are done on an image sequence caught by a shaking hand-held camera,which show that the proposed method is very robust to large motion disturbance.

关键词：扰动运动 SLAM 干扰鲁棒性分支定界算法扩展卡尔曼滤波照相机地图创建

Detection of salient objects with focused attention based on spatial and temporal coherence

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Chinese Science Bulletin 2011年第10期56卷 1055-1062页

作者： WU Yang ZHENG NanNing yuan zejian JIANG HuaiZu LIU Tie Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Xi 'an 710049 China IBM Research-China Beijing 100193 China

The understanding and analysis of video content are fundamentally important for numerous applications,including video summarization,retrieval,navigation,and *** important part of this process is to detect salient (which usually means important and interesting) objects in video *** existing approaches,we propose a method that combines the saliency measurement with spatial and temporal *** integration of spatial and temporal coherence is inspired by the focused attention in human *** the proposed method,the spatial coherence of low-level visual grouping cues (*** and motion) helps per-frame object-background separation,while the temporal coherence of the object properties (*** and appearance) ensures consistent object localization over time,and thus the method is robust to unexpected environment changes and camera *** developed an efficient optimization strategy based on coarse-to-fine multi-scale dynamic programming,we evaluate our method using a challenging dataset that is freely available together with this *** show the effectiveness and complementariness of the two types of coherence,and demonstrate that they can significantly improve the performance of salient object detection in videos.

关键词：时间相干性空间相干性连贯性检测突出视频内容组成部分人类视觉

Development of sustainable and efficient recycling technology for spent Li-ion batteries: Traditional and transformation go hand in hand

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Green Energy & Environment 2024年第5期9卷 802-830页

作者： zejian Liu Gongqi Liu Leilei Cheng Jing Gu Haoran yuan Yong Chen Yufeng Wu Guangzhou Institute of Energy Conversion Chinese Academy of Sciences(CAS)Guangzhou510640China School of Engineering Science University of Science and Technology of ChinaHefei230026China Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development Guangzhou510640China Faculty of Materials and Manufacturing Beijing University of TechnologyBeijing100124China

Clean and efﬁcient recycling of spent lithium-ion batteries(LIBs)has become an urgent need to promote sustainable and rapid development of human ***,we provide a critical and comprehensive overview of the various technologies for recycling spent LIBs,starting with lithium-ion power *** research on raw material collection,metallurgical recovery,separation and puriﬁcation is highlighted,particularly in terms of all aspects of economic efﬁciency,energy consumption,technology transformation and policy *** and pathways for transformative full-component recovery of spent LIBs are explored,revealing a clean and efﬁcient closed-loop recovery *** methods are proposed for future recycling technologies,with a focus on how future research directions can be ***,based on life-cycle assessment,the challenges of future recycling are revealed from the LIBs supply chain and stability of the supply chain of the new energy battery industry to provide an outlook on clean and efﬁcient short process recycling *** work is designed to support the sustainable development of the new energy power industry,to help meet the needs of global decarbonization strategies and to respond to the major needs of industrialized recycling.

关键词： Spent LIBs Transformative recycling LCA analysis Policy guidance High value utilization

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目标搜索与识别的视觉注意网络与学习方法

机械工程学报 2019年第11期55卷 123-130页

作者：吕杰罗芳颖袁泽剑西安交通大学电子与信息工程学院

提出一种循环视觉注意网络来同时进行目标搜索和识别。该网络能够从图像中自动选择一个局部观测序列,通过融合局部详细表观和粗略上下文视觉信息,实现视觉目标的高精度定位与识别,比传统的滑动窗口和全图卷积的方法具有更高的目标搜索... 详细信息

提出一种循环视觉注意网络来同时进行目标搜索和识别。该网络能够从图像中自动选择一个局部观测序列,通过融合局部详细表观和粗略上下文视觉信息,实现视觉目标的高精度定位与识别,比传统的滑动窗口和全图卷积的方法具有更高的目标搜索效率。此外,提出了一种混合损失函数来对网络参数进行端到端的多任务学习,特别在视觉注视点序列损失函数中引入随机性和目标启发的组合策略,可以有效地挖掘更丰富的上下文信息,保证注意点快速接近视觉目标。建立了一个真实场景数据集来验证该模型在感兴趣目标和小目标搜索与识别的性能。试验结果表明,该方法通过几个注视点转移,就能够在一幅图像上预测一个视觉目标的准确边框,并在大图像上获得比较高的搜索速度。开放源代码用于该方法验证与比较分析。

关键词：注意力模型强化学习目标检测注意策略

JPEG2000中高速Tier1编码器的VLSI设计

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固体电子学研究与进展 2006年第3期26卷 404-409页

作者：梅魁志郑南宁吴奇曾强袁泽剑西安交通大学人工智能与机器人研究所西安710049

提出并实现了一种用于JPEG2000编码芯片中高速Tier1编码器的并行流水结构。该编码器采用了双位平面并行编码、通道扫描的流水控制、状态变量实时产生电路以及列内并行上下文生成等技术,实现了一种0状态存储器的多并行流水位平面编码器;... 详细信息

提出并实现了一种用于JPEG2000编码芯片中高速Tier1编码器的并行流水结构。该编码器采用了双位平面并行编码、通道扫描的流水控制、状态变量实时产生电路以及列内并行上下文生成等技术,实现了一种0状态存储器的多并行流水位平面编码器;并行同步流水的多记号输入算术编码器以及不定算术编码周期下的多输入同步读取电路,使算术编码速度平均为1.3上下文编码记号对/时钟;对算术编码产生的压缩码流存储呈高效的宏流水线结构。该编码器在100MHz工作时钟下,最高编码速度为85M小波系数/s。用SMIC0.25μm工艺库综合时,门电路为6.3万门,片上存储器为26kb(码块大小32×32),关键路径为5.2ns。

关键词： JPEG2000 Tierl编码器位平面编码器算术编码器

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基于支持向量机的显著性建筑物检测

计算机研究与发展 2007年第1期44卷 141-147页

作者：曲延云郑南宁李翠华袁泽剑叶聪颖西安交通大学人工智能与机器人研究所厦门大学计算机科学系厦门361005 厦门大学计算机科学系

提出了一种针对自然图像中显著性建筑物的检测方法.首先,采用自底向上的注意力机制,对图像进行Haar小波分解,对得到的HL,LH分量进行平方求和,得到增强图像,然后对该增强图像在垂直方向上进行侧投影,基于得到的投影曲线进行多层阈值分割... 详细信息

提出了一种针对自然图像中显著性建筑物的检测方法.首先,采用自底向上的注意力机制,对图像进行Haar小波分解,对得到的HL,LH分量进行平方求和,得到增强图像,然后对该增强图像在垂直方向上进行侧投影,基于得到的投影曲线进行多层阈值分割,找到显著性建筑物候选区域.进而,利用Sobel算子进行水平边缘与垂直边缘的检测,并统计较长的水平边缘与垂直边缘的数目,组成特征矢量.最后利用线性支持向量机对特征进行分类.实验证明了所提算法的有效性.

关键词：建筑物检测自底向上的注意力机制 Haar小波分解支持向量机

Two sex pheromone receptors for sexual communication in the American cockroach

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Science China(Life Sciences) 2024年第7期67卷 1455-1467页

作者： Na Li Renke Dong Huanchao Zeng Yan Zhang Run Huang Wei Liu Fengming Cao Jincong Yu Mingtao Liao Jingyou Chen Wenlei Zhang zejian Huang Jiahui Wang Li Li Shen Zhu Danyan Huang Zining Li Xiaoshuai Zhang Dongwei yuan Nan Chen Yongliang Fan Guirong Wang Coby Schal Yufeng Pan Sheng Li Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology Institute of Insect Science and TechnologySchool of Life SciencesSouth China Normal UniversityGuangzhou 510631China Guangmeiyuan R&D Center Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied TechnologySouth China Normal UniversityMeizhou 514589China Lingnan Guangdong Laboratory of Modern Agriculture Genome Analysis Laboratory of the Ministry of AgricultureAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518000China State Key Laboratory of Crop Stress Biology for Arid Areas and Key Laboratory of Integrated Pest Management on the Loess Plateau of Ministry of AgricultureNorthwest A&F UniversityYangling 712100China Department of Entomology and Plant Pathology North Carolina State UniversityRaleigh 27695USA The Key Laboratory of Developmental Genes and Human Disease School of Life Science and TechnologySoutheast UniversityNanjing 210096China

Volatile sex pheromones are vital for sexual communication between males and *** of the American cockroach,Periplaneta americana,produce and emit two sex pheromone components,periplanone-A(PA)and periplanone-B(PB).Although PB is the major sex attractant and can attract males,how it interacts with PA in regulating sexual behaviors is still *** this study,we found that in male cockroaches,PA counteracted PB *** identified two odorant receptors(ORs),OR53 and OR100,as PB/PA and PA receptors,***53 and OR100 were predominantly expressed in the antennae of sexually mature males,and their expression levels were regulated by the sex differentiation pathway and nutrition-responsive *** localization of OR53 and OR100 in male antennae further revealed that two types of sensilla coordinate a complex two-pheromone-two-receptor pathway in regulating cockroach sexual *** findings indicate distinct functions of the two sex pheromone components,identify their receptors and possible regulatory mechanisms underlying the male-specific and age-dependent sexual behaviors,and can guide novel strategies for pest management.

关键词： sex pheromone odorant receptor sexual attraction sex differentiation cockroach