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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 IV. Lecture Notes in Computer Science 12664, Springer 2021, ISBN 978-3-030-68798-4
FGVRID - Fine-Grained Visual Recognition and re-Identification
- Rico Montulet, Alexia Briassouli:
Densely Annotated Photorealistic Virtual Dataset Generation for Abnormal Event Detection. 5-19 - Tianyi Yan, Haiyun Guo, Songyan Liu, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
Unsupervised Domain Adaptive Re-Identification with Feature Adversarial Learning and Self-similarity Clustering. 20-35 - Zhongwei Zhao, Ran Song, Qian Zhang, Peng Duan, Youmei Zhang:
A Framework for Jointly Training GAN with Person Re-Identification Model. 36-51 - Zhenhuan Huang, Xiaoyue Duan, Bo Zhao, Jinhu Lü, Baochang Zhang:
Interpretable Attention Guided Network for Fine-Grained Visual Classification. 52-63 - Kamran Chitsaz, Mohsen Hajabdollahi, Pejman Khadivi, Shadrokh Samavi, Nader Karimi, Shahram Shirani:
Use of Frequency Domain for Complexity Reduction of Convolutional Neural Networks. 64-74 - Wenxu Li, Gang Pan, Chen Wang, Zhen Xing, Xiaozhou Zhou, Xiaoxuan Dong, Jiawan Zhang:
From Coarse to Fine: Hierarchical Structure-Aware Video Summarization. 75-87 - Halil Ibrahim Öztürk, Ahmet Burak Can:
ADNet: Temporal Anomaly Detection in Surveillance Videos. 88-101 - Daniele Mugnai, Federico Pernici, Francesco Turchini, Alberto Del Bimbo:
Soft Pseudo-labeling Semi-Supervised Learning Applied to Fine-Grained Visual Classification. 102-110
HCAU 2020 - The First International Workshop on Deep Learning for Human-Centric Activity Understanding
- Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten:
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection. 115-130 - Habib Ullah, Sultan Daud Khan, Mohib Ullah, Faouzi Alaya Cheikh:
Social Modeling Meets Virtual Reality: An Immersive Implication. 131-140 - Prisa Damrongsiri, Hossein Malekmohamadi:
Pickpocketing Recognition in Still Images. 141-152 - Soroosh Poorgholi, Osman Semih Kayhan, Jan C. van Gemert:
t-EVA: Time-Efficient t-SNE Video Annotation. 153-169 - Djamila Romaissa Beddiar, Mourad Oussalah, Brahim Nini, Yazid Bounab:
Vision-Based Fall Detection Using Body Geometry. 170-185 - Okan Köpüklü, Fabian Herzog, Gerhard Rigoll:
Comparative Analysis of CNN-Based Spatiotemporal Reasoning in Videos. 186-202 - Biying Fu, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-Adaption and Few-Shot Learning. 203-218 - Pankaj Raj Roy, Guillaume-Alexandre Bilodeau, Lama Seoud:
Local Anomaly Detection in Videos Using Object-Centric Adversarial Learning. 219-234 - Yifan Ma, Bo Zhang, Nicola Conci, Hongbo Liu:
A Hierarchical Framework for Motion Trajectory Forecasting Based on Modality Sampling. 235-249 - Fei Xu, Kenny Davila, Srirangaraj Setlur, Venu Govindaraju:
Skeleton-Based Methods for Speaker Action Classification on Lecture Videos. 250-264
IADS - Integrated Artificial Intelligence In Data Science
- Hanif Khan, Muhammad Usama Asghar, Muhammad Zubair Asghar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu:
Fake Review Classification Using Supervised Machine Learning. 269-288 - Yu-Jen Huang, Ko-Wei Huang, Shih-Hsiung Lee:
Defect Detection of Stainless Steel Plates Using Deep Learning Technology. 289-301 - Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Gautam Srivastava:
Deep Neural Networks for Detecting Real Emotions Using Biofeedback and Voice. 302-309 - Shih-Hsin Chen, I-Hsin Tai, Yi-Hui Chen, Ken-Pen Weng, Kai-Sheng Hsieh:
Data Augmentation for a Deep Learning Framework for Ventricular Septal Defect Ultrasound Image Classification. 310-322 - Tewodros Mulugeta Dagnew, Claudio Silvestri, Debora Slanzi, Irene Poli:
A Neural Network Model for Lead Optimization of MMP12 Inhibitors. 323-335 - Hassan Eldeeb, Shota Amashukeli, Radwa El Shawi:
An Empirical Analysis of Integrating Feature Extraction to Automated Machine Learning Pipeline. 336-344 - Moyu Zhang, Xinning Zhu, Yang Ji:
Input-Aware Neural Knowledge Tracing Machine. 345-360 - Florian Heidecker, Abdul Hannan, Maarten Bieshaar, Bernhard Sick:
Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks. 361-374 - Jan Schneegans, Maarten Bieshaar, Florian Heidecker, Bernhard Sick:
Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks. 375-389 - Po Chan Chiu, Ali Selamat, Ondrej Krejcar, King Kuok Kuok:
Imputation of Rainfall Data Using Improved Neural Network Algorithm. 390-406 - Florian Heidecker, Christian Gruhl, Bernhard Sick:
Novelty Based Driver Identification on RR Intervals from ECG Data. 407-421 - Sanjiban Sekhar Roy, Aditya Ranjan, Stefania Tomasiello:
Link Prediction in Social Networks by Variational Graph Autoencoder and Similarity-Based Methods: A Brief Comparative Analysis. 422-429 - Terry Hui-Ye Chiu, Chien-Wen Wu, Chun-Hao Chen:
A Hybrid Wine Classification Model for Quality Prediction. 430-438 - Jimmy Ming-Tai Wu, Gautam Srivastava, Shahab Tayeb, Jerry Chun-Wei Lin:
A PSO-Based Sanitization Process with Multi-thresholds Model. 439-446 - Gertjan J. Burghouts:
Task-Specific Novel Object Characterization. 447-455
IML - International Workshop on Industrial Machine Learning
- Ashish Sinha, K. S. Suresh:
Deep Learning Based Dimple Segmentation for Quantitative Fractography. 463-474 - Thomas Defard, Aleksandr Setkov, Angelique Loesch, Romaric Audigier:
PaDiM: A Patch Distribution Modeling Framework for Anomaly Detection and Localization. 475-489 - Nicola Peghini, Andrea Zignoli, Davide Gandolfi, Paolo Rota, Paolo Bosetti:
Real-Time Cross-Dataset Quality Production Assessment in Industrial Laser Cutting Machines. 490-505 - Matteo Moro, Claudio Andreatta, Chiara Corridori, Paolo Rota, Niculae Sebe:
An Online Deep Learning Based System for Defects Detection in Glass Panels. 506-522 - Christoffer Bøgelund Rasmussen, Aske Rasch Lejbølle, Kamal Nasrollahi, Thomas B. Moeslund:
Evaluation of Edge Platforms for Deep Learning in Computer Vision. 523-537 - Christoph Heindl, Lukas Brunner, Sebastian Zambal, Josef Scharinger:
BlendTorch: A Real-Time, Adaptive Domain Randomization Library. 538-551 - Marco Boschi, Luigi Di Stefano, Martino Alessandrini:
SAFFIRE: System for Autonomous Feature Filtering and Intelligent ROI Estimation. 552-565 - Zijiang Yang, Tetsushi Watari, Daisuke Ichigozaki, Akita Mitsutoshi, Hiroaki Takahashi, Yoshinori Suga, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Heterogeneous Feature Fusion Based Machine Learning on Shallow-Wide and Heterogeneous-Sparse Industrial Datasets. 566-577 - Ho-min Park, Byungkon Kang, Arnout Van Messem, Wesley De Neve:
3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics. 578-591 - Min-Kook Choi, Heechul Jung:
Development of Fast Refinement Detectors on AI Edge Platforms. 592-606 - Martin Lukac, Ayazkhan Bayanov, Albina Li, Kamila Abdiyeva, Nadira Izbassarova, Magzhan Gabidolla, Michitaka Kameyama:
Selecting Algorithms Without Meta-features. 607-621 - Yixin Li, Fu Hu, Jian Qin, Michael Ryan, Ray Wang, Ying Liu:
A Hybrid Machine Learning Approach for Energy Consumption Prediction in Additive Manufacturing. 622-636 - Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, Flavio Tonetto, Luca Perugini, Luca Ruggeri, Paolo Viti, Emanuele Frontoni:
Bias from the Wild Industry 4.0: Are We Really Classifying the Quality or Shotgun Series? 637-649 - Fabian Berns, Timo Ramsdorf, Christian Beecks:
Machine Learning for Storage Location Prediction in Industrial High Bay Warehouses. 650-661 - Giulia Pazzaglia, Massimo Martini, Riccardo Rosati, Luca Romeo, Emanuele Frontoni:
A Deep Learning-Based Approach for Automatic Leather Classification in Industry 4.0. 662-674 - Siddhartha Dutta, Markus Rauhut, Hans Hagen, Petra Gospodnetic:
Automatic Viewpoint Estimation for Inspection Planning Purposes. 675-691 - Davide Boscaini, Fabio Poiesi, Stefano Messelodi, Ayman Younes, Donato A. Grande:
Localisation of Defects in Volumetric Computed Tomography Scans of Valuable Wood Logs. 692-704 - Pankaj Mishra, Claudio Piciarelli, Gian Luca Foresti:
Image Anomaly Detection by Aggregating Deep Pyramidal Representations. 705-718 - Somesh Devagekar, Ahmad Delforouzi, Paul G. Plöger:
Fault Detection in Uni-Directional Tape Production Using Image Processing. 719-732
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