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Pattern Recognition. ICPR International Workshops and Challenges

Virtual Event, January 10–15, 2021, Proceedings, Part IV

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Alberto Del Bimbo

    1. Dipartimento di Ingegneria dell'Informazione, University of Firenze, Florence, Italy

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  2. Rita Cucchiara

    1. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

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  3. Stan Sclaroff

    1. Department of Computer Science, Boston University, Boston, USA

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  4. Giovanni Maria Farinella

    1. Dipartimento di Matematica e Informatica, University of Catania, Catania, Italy

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  5. Tao Mei

    1. Cloud & AI, JD.COM, Beijing, China

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  6. Marco Bertini

    1. Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

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  7. Hugo Jair Escalante

    1. Computational Sciences Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Tonantzintla, Mexico

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  8. Roberto Vezzani

    1. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12664)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ICPR 2021.

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About this book

This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.

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Keywords

Table of contents (52 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. FGVRID - Fine-Grained Visual Recognition and re-Identification

    1. Front Matter

      Pages 1-3
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    2. Densely Annotated Photorealistic Virtual Dataset Generation for Abnormal Event Detection

      • Rico Montulet, Alexia Briassouli
      Pages 5-19

    3. Unsupervised Domain Adaptive Re-Identification with Feature Adversarial Learning and Self-similarity Clustering

      • Tianyi Yan, Haiyun Guo, Songyan Liu, Chaoyang Zhao, Ming Tang, Jinqiao Wang
      Pages 20-35

    4. A Framework for Jointly Training GAN with Person Re-Identification Model

      • Zhongwei Zhao, Ran Song, Qian Zhang, Peng Duan, Youmei Zhang
      Pages 36-51

    5. Interpretable Attention Guided Network for Fine-Grained Visual Classification

      • Zhenhuan Huang, Xiaoyue Duan, Bo Zhao, Jinhu Lü, Baochang Zhang
      Pages 52-63

    6. Use of Frequency Domain for Complexity Reduction of Convolutional Neural Networks

      • Kamran Chitsaz, Mohsen Hajabdollahi, Pejman Khadivi, Shadrokh Samavi, Nader Karimi, Shahram Shirani
      Pages 64-74

    7. From Coarse to Fine: Hierarchical Structure-Aware Video Summarization

      • Wenxu Li, Gang Pan, Chen Wang, Zhen Xing, Xiaozhou Zhou, Xiaoxuan Dong et al.
      Pages 75-87

    8. ADNet: Temporal Anomaly Detection in Surveillance Videos

      • Halil İbrahim Öztürk, Ahmet Burak Can
      Pages 88-101

    9. Soft Pseudo-labeling Semi-Supervised Learning Applied to Fine-Grained Visual Classification

      • Daniele Mugnai, Federico Pernici, Francesco Turchini, Alberto Del Bimbo
      Pages 102-110

  3. HCAU 2020 - The First International Workshop on Deep Learning for Human-Centric Activity Understanding

    1. Front Matter

      Pages 111-113
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    2. Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection

      • Michail Tsiaousis, Gertjan Burghouts, Fieke Hillerström, Peter van der Putten
      Pages 115-130

    3. Social Modeling Meets Virtual Reality: An Immersive Implication

      • Habib Ullah, Sultan Daud Khan, Mohib Ullah, Faouzi Alaya Cheikh
      Pages 131-140

    4. Pickpocketing Recognition in Still Images

      • Prisa Damrongsiri, Hossein Malekmohamadi
      Pages 141-152

    5. t-EVA: Time-Efficient t-SNE Video Annotation

      • Soroosh Poorgholi, Osman Semih Kayhan, Jan C. van Gemert
      Pages 153-169

    6. Vision-Based Fall Detection Using Body Geometry

      • Beddiar Djamila Romaissa, Oussalah Mourad, Nini Brahim, Bounab Yazid
      Pages 170-185

    7. Comparative Analysis of CNN-Based Spatiotemporal Reasoning in Videos

      • Okan Köpüklü, Fabian Herzog, Gerhard Rigoll
      Pages 186-202

    8. Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-Adaption and Few-Shot Learning

      • Biying Fu, Naser Damer, Florian Kirchbuchner, Arjan Kuijper
      Pages 203-218

    9. Local Anomaly Detection in Videos Using Object-Centric Adversarial Learning

      • Pankaj Raj Roy, Guillaume-Alexandre Bilodeau, Lama Seoud
      Pages 219-234

    10. A Hierarchical Framework for Motion Trajectory Forecasting Based on Modality Sampling

      • Yifan Ma, Bo Zhang, Nicola Conci, Hongbo Liu
      Pages 235-249
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Other volumes

  1. Pattern Recognition. ICPR International Workshops and Challenges

  2. Pattern Recognition. ICPR International Workshops and Challenges

  3. Pattern Recognition. ICPR International Workshops and Challenges

  4. Pattern Recognition. ICPR International Workshops and Challenges

  5. Pattern Recognition. ICPR International Workshops and Challenges

  6. Pattern Recognition. ICPR International Workshops and Challenges

  7. Pattern Recognition. ICPR International Workshops and Challenges

  8. Pattern Recognition. ICPR International Workshops and Challenges

Editors and Affiliations

  • Dipartimento di Ingegneria dell'Informazione, University of Firenze, Florence, Italy

    Alberto Del Bimbo

  • Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Rita Cucchiara, Roberto Vezzani

  • Department of Computer Science, Boston University, Boston, USA

    Stan Sclaroff

  • Dipartimento di Matematica e Informatica, University of Catania, Catania, Italy

    Giovanni Maria Farinella

  • Cloud & AI, JD.COM, Beijing, China

    Tao Mei

  • Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

    Marco Bertini

  • Computational Sciences Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Tonantzintla, Mexico

    Hugo Jair Escalante

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