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ORCIDICPR 2020: Virtual Event / Milano, Italy - Workshops
- Alberto Del Bimbo
, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part VIII. Lecture Notes in Computer Science 12668, Springer 2021, ISBN 978-3-030-68792-2
WAAMI - Workshop on Analysis of Aerial Motion Imagery
- Aneesh Rangnekar, Yi Yao, Matthew J. Hoffman, Ajay Divakaran:
Fine-Tuning for One-Look Regression Vehicle Counting in Low-Shot Aerial Datasets. 5-18 - Hilmi Kumdakci, Cihan Öngün, Alptekin Temizel:
Generative Data Augmentation for Vehicle Detection in Aerial Images. 19-31 - Shizeng Yao, Hadi Ali Akbarpour, Guna Seetharaman, Kannappan Palaniappan:
City-Scale Point Cloud Stitching Using 2D/3D Registration for Large Geographical Coverage. 32-45 - Qida Yu, Guili Xu, Jiachen Shi:
An Efficient and Reasonably Simple Solution to the Perspective-Three-Point Problem. 46-59 - Marc-Antoine Drouin, Jonathan Fournier, Jonathan Boisvert, Louis Borgeat:
Modeling and Simulation Framework for Airborne Camera Systems. 60-74 - Huamei Chen, Genshe Chen, Erik Blasch:
On the Development of a Classification Based Automated Motion Imagery Interpretability Prediction. 75-88 - Yunbin Deng:
Remote Liveness and Heart Rate Detection from Video. 89-105 - Mirmohammad Saadati, Marco Pedersoli, Patrick Cardinal, Peter Oliver:
RADARSAT-2 Synthetic-Aperture Radar Land Cover Segmentation Using Deep Convolutional Neural Networks. 106-117 - Jingyang Lu, Chenggang Yu, Erik Blasch, Roman Ilin, Hua-mei Chen, Dan Shen, Nichole Sullivan, Genshe Chen, Robert Kozma:
Deep Learning Based Domain Adaptation with Data Fusion for Aerial Image Data Analysis. 118-133
WMWB - TC4 Workshop on Mobile and Wearable Biometrics 2020
- Fernando Alonso-Fernandez, Javier Barrachina, Kevin Hernandez-Diaz, Josef Bigün:
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms. 139-153 - Jannis Priesnitz, Christian Rathgeb, Nicolas Buchmann, Christoph Busch:
Deep Learning-Based Semantic Segmentation for Touchless Fingerprint Recognition. 154-168 - Mozhdeh Rouhsedaghat, Yifan Wang, Xiou Ge, Shuowen Hu, Suya You, C.-C. Jay Kuo:
FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method. 169-183 - Francesco Rundo, Francesca Trenta, Roberto Leotta, Concetto Spampinato, Vincenzo Piuri, Sabrina Conoci, Ruggero Donida Labati, Fabio Scotti, Sebastiano Battiato:
Advanced Temporal Dilated Convolutional Neural Network for a Robust Car Driver Identification. 184-199 - Hoang (Mark) Nguyen, Narsi Reddy, Ajita Rattani, Reza Derakhshani:
VISOB 2.0 - The Second International Competition on Mobile Ocular Biometric Recognition. 200-208 - Matthew Boakes, Richard M. Guest, Farzin Deravi:
Adapting to Movement Patterns for Face Recognition on Mobile Devices. 209-228 - Anoop Krishnan, Ali Almadan, Ajita Rattani:
Probing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset. 229-243 - Ruggero Donida Labati, Vincenzo Piuri, Francesco Rundo, Fabio Scotti, Concetto Spampinato:
Biometric Recognition of PPG Cardiac Signals Using Transformed Spectrogram Images. 244-257
EndoTect: A Competition on Automatic Disease Detection in the Gastrointestinal Tract
- Steven Alexander Hicks, Debesh Jha, Vajira Thambawita, Pål Halvorsen, Hugo Lewi Hammer, Michael A. Riegler:
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy. 263-274 - Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
A Hierarchical Multi-task Approach to Gastrointestinal Image Analysis. 275-282 - Zhipeng Luo, Lixuan Che, Jianye He:
Delving into High Quality Endoscopic Diagnoses. 283-290 - Zeshan Khan, Muhammad Usman Tariq Alvi, Muhammad Atif Tahir, Shahbaz Memon:
Medical Diagnostic by Data Bagging for Various Instances of Neural Network. 291-298 - Qi He, Sophia Bano, Danail Stoyanov, Siyang Zuo:
Hybrid Loss with Network Trimming for Disease Recognition in Gastrointestinal Endoscopy. 299-306 - Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. 307-314 - Amartya Dutta, Rajat Kanti Bhattacharjee, Ferdous Ahmed Barbhuiya:
Efficient Detection of Lesions During Endoscopy. 315-322
The 2nd Grand Challenge of 106-Point Facial Landmark Localization
- Yinglu Liu, Peipei Li, Xin Tong, Hailin Shi, Xiangyu Zhu, Zhenan Sun, Zhen Xu, Huaibo Liu, Xuefeng Su, Wei Chen, Han Huang, Duomin Wang, Xunqiang Tao, Yandong Guo, Ziye Tong, Shenqi Lai, Zhenhua Chai:
The $2^\mathrm{nd}$ 106-Point Lightweight Facial Landmark Localization Grand Challenge. 327-338
ICPR2020 Competition on Text Detection and Recognition in Arabic News Video Frames
- Oussama Zayene, Rolf Ingold, Najoua Essoukri Ben Amara, Jean Hennebert:
ICPR2020 Competition on Text Detection and Recognition in Arabic News Video Frames. 343-356
Competition on HArvesting Raw Tables from Infographics
- Kenny Davila, Chris Tensmeyer, Sumit Shekhar, Hrituraj Singh, Srirangaraj Setlur, Venu Govindaraju:
ICPR 2020 - Competition on Harvesting Raw Tables from Infographics. 361-380 - Chen Wang, Kaixu Cui, Suya Zhang, Changliang Xu:
Visual and Textual Information Fusion Method for Chart Recognition. 381-389 - Zhipeng Luo, Zhiguang Zhang, Ge Li, Lixuan Che, Jianye He, Zhenyu Xu:
A Benchmark for Analyzing Chart Images. 390-400
ICPR 2020 Competition on Text Block Segmentation on a NewsEye Dataset
- Johannes Michael, Max Weidemann, Bastian Laasch, Roger Labahn:
ICPR 2020 Competition on Text Block Segmentation on a NewsEye Dataset. 405-418
The 2020 CORSMAL Challenge: Multi-modal Fusion and Learning for Robotics
- Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola:
Top-1 CORSMAL Challenge 2020 Submission: Filling Mass Estimation Using Multi-modal Observations of Human-Robot Handovers. 423-436 - Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Hideo Saito:
Audio-Visual Hybrid Approach for Filling Mass Estimation. 437-450 - Qi Liu, Fan Feng, Chuanlin Lan, Rosa H. M. Chan:
VA2Mass: Towards the Fluid Filling Mass Estimation via Integration of Vision and Audio Learning. 451-463
Pollen Grain Classification Challenge
- Sebastiano Battiato, Francesco Guarnera, Alessandro Ortis, Francesca Trenta, Lorenzo Ascari, Consolata Siniscalco, Tommaso De Gregorio, Eloy Suárez:
Pollen Grain Classification Challenge 2020 - Challenge Report. 469-479 - Chao Fang, Yutao Hu, Baochang Zhang, David S. Doermann:
The Fusion of Neural Architecture Search and Destruction and Construction Learning - First Classified. 480-489 - Penghui Gui, Ruowei Wang, Zhengbang Zhu, Feiyu Zhu, Qijun Zhao:
Improved Data Augmentation of Deep Convolutional Neural Network for Pollen Grains Classification - Third Classified. 490-500
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