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ORCIDICPR 2022: Montreal, QC, Canada - Workshops Part I
- Jean-Jacques Rousseau, Bill Kapralos
:
Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges - Montreal, QC, Canada, August 21-25, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13643, Springer 2023, ISBN 978-3-031-37659-7
Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP)
- Pablo Estevez, Antonio Agudo:
Uncalibrated, Unified and Unsupervised Specular-Aware Photometric Stereo. 7-20 - Xiaofei Huang, Shuangjun Liu, Michael Wan, Nihang Fu, David Li Pino, Bharath R. Modayur, Sarah Ostadabbas:
Appearance-Independent Pose-Based Posture Classification in Infants. 21-36 - Md Baharul Islam, Md Imran Hosen:
Emotion, Age and Gender Prediction Through Masked Face Inpainting. 37-48 - Federico Cunico, Andrea Toaiari, Marco Cristani:
A Masked Face Classification Benchmark on Low-Resolution Surveillance Images. 49-63 - Shiqi Li, Xiang Xiang:
Lightweight Human Pose Estimation Using Loss Weighted by Target Heatmap. 64-78 - Daniel Stadler, Jürgen Beyerer:
BYTEv2: Associating More Detection Boxes Under Occlusion for Improved Multi-person Tracking. 79-94 - Antonio Greco, Stefano Saldutti, Bruno Vento:
Fast and Effective Detection of Personal Protective Equipment on Smart Cameras. 95-108 - Chenyi Kuang, Jeffrey O. Kephart, Qiang Ji:
Towards an Accurate 3D Deformable Eye Model for Gaze Estimation. 109-123 - Lawrence Amadi, Gady Agam:
2D-Pose Based Human Body Segmentation for Weakly-Supervised Concealed Object Detection in Backscatter Millimeter-Wave Images. 124-138 - Tomohiro Fujita, Yasutomo Kawanishi:
Toward Surroundings-Aware Temporal Prediction of 3D Human Skeleton Sequence. 139-151 - Rihab Hajlaoui, Guillaume-Alexandre Bilodeau, Jan Rockemann:
MTGR: Improving Emotion and Sentiment Analysis with Gated Residual Networks. 152-163
12th International Workshop on Human Behavior Understanding (HBU)
- Oya Çeliktutan, Weiyang Wu, Kai Vogeley, Alexandra Livia Georgescu:
A Computational Approach for Analysing Autistic Behaviour During Dyadic Interactions. 167-177 - Xun Li, Ryan Anthony J. de Belen, Arcot Sowmya, Sandersan Onie, Mark E. Larsen:
Region-Based Trajectory Analysis for Abnormal Behaviour Detection: A Trial Study for Suicide Detection and Prevention. 178-192 - Abigale Plunk, Ashwaq Zaini Amat, D. Mitchell Wilkes, Nilanjan Sarkar:
Automated Behavior Labeling During Team-Based Activities Involving Neurodiverse and Neurotypical Partners Using Multimodal Data. 193-209 - Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Emergence of Collaborative Hunting via Multi-Agent Deep Reinforcement Learning. 210-224 - Marc Hulcelle, Giovanna Varni, Nicolas Rollet, Chloé Clavel:
Computational Multimodal Models of Users' Interactional Trust in Multiparty Human-Robot Interaction. 225-239 - Nicola Corbellini, Eleonora Ceccaldi, Giovanna Varni, Gualtiero Volpe:
An Exploratory Study on Group Potency Classification from Non-verbal Social Behaviours. 240-255 - Nilah Ravi Nair, Fernando Moya Rueda, Christopher Reining, Gernot A. Fink:
Multi-Channel Time-Series Person and Soft-Biometric Identification. 256-272 - Ilona Goossens, Merel M. Jung, Werner Liebregts, Itir Önal Ertugrul:
To Invest or Not to Invest: Using Vocal Behavior to Predict Decisions of Investors in an Entrepreneurial Context. 273-286
Theories, Applications, and Cross Modality for Self-Supervised Learning Models (SSL)
- Yurui Qian, Yu Wang, Jingyang Lin:
Enhancing the Linear Probing Performance of Masked Auto-Encoders. 289-301 - Fuchen Long, Zhaofan Qiu:
Involving Density Prior for 3D Point Cloud Contrastive Learning. 302-312 - Qi Cai:
Joint Masked Autoencoding with Global Reconstruction for Point Cloud Learning. 313-329 - Nawid Keshtmand, Raúl Santos-Rodríguez, Jonathan Lawry:
Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection. 330-343
Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction (MPRSS 2022)
- Patrick Thiam, Hans A. Kestler, Friedhelm Schwenker:
Deep Learning Architectures for Pain Recognition Based on Physiological Signals. 349-358 - Tejo Chalasani, Aljosa Smolic:
Egocentric Hand Gesture Recognition on Untrimmed Videos Using State Activation Gate LSTMs. 359-372 - Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler:
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition. 373-383 - Afsana Mou, Mariofanna G. Milanova, Mark Baillie:
Active Learning Monitoring in Classroom Using Deep Learning Frameworks. 384-393 - Tobias Ricken, Peter Bellmann, Steffen Walter, Friedhelm Schwenker:
Pain Detection in Biophysiological Signals: Transfer Learning from Short-Term to Long-Term Stimuli Based on Signal Segmentation. 394-404 - Maude Nguyen-The, Soufiane Lamghari, Guillaume-Alexandre Bilodeau, Jan Rockemann:
Leveraging Sentiment Analysis Knowledge to Solve Emotion Detection Tasks. 405-416 - Bhavin Jethra, Rahul Golhar, Ifeoma Nwogu:
Analyzing the Prosodic and Lingual Features of Popular Speakers. 417-427
Fairness in Biometric Systems (FAIRBIO)
- John J. Howard, Eli J. Laird, Rebecca E. Rubin, Yevgeniy B. Sirotin, Jerry L. Tipton, Arun R. Vemury:
Evaluating Proposed Fairness Models for Face Recognition Algorithms. 431-447 - John J. Howard, Eli J. Laird, Yevgeniy B. Sirotin:
Disparate Impact in Facial Recognition Stems from the Broad Homogeneity Effect: A Case Study and Method to Resolve. 448-464 - Jascha Kolberg, Christian Rathgeb, Christoph Busch:
The Influence of Gender and Skin Colour on the Watchlist Imbalance Effect in Facial Identification Scenarios. 465-478 - Ketan Kotwal, Sébastien Marcel:
Fairness Index Measures to Evaluate Bias in Biometric Recognition. 479-493
2nd International Workshop on Artificial Intelligence for Healthcare Applications (AIHA 2022)
- Taslim Mahbub, Ahmad Obeid, Sajid Javed, Jorge Dias, Naoufel Werghi:
Class-Balanced Affinity Loss for Highly Imbalanced Tissue Classification in Computational Pathology. 499-513 - Luigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, Paola Barra, Stefano Piotto, Genoveffa Tortora:
Hybrid Approach for the Design of CNNs Using Genetic Algorithms for Melanoma Classification. 514-528 - Marya Ryspayeva, Mario Molinara, Alessandro Bria, Claudio Marrocco, Francesco Tortorella:
Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study. 529-538 - Gianluca Carloni, Andrea Berti, Chiara Iacconi, Maria Antonietta Pascali, Sara Colantonio:
On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet. 539-557 - Nélida Mirabet-Herranz, Khawla Mallat, Jean-Luc Dugelay:
Deep Learning for Remote Heart Rate Estimation: A Reproducible and Optimal State-of-the-Art Framework. 558-573 - Mahmood Haithami, Amr Ahmed, Iman Yi Liao, Hamid Abdullah Jalab:
Automatic Bowel Preparation Assessment Using Deep Learning. 574-588 - Francesco Rundo, Carmelo Pino, Riccardo Emanuele Sarpietro, Concetto Spampinato, Federica Proietto Salanitri:
A Hierarchical 3D Segmentation Model for Cone-Beam Computed Tomography Dental-Arch Scans. 589-601 - Francesco Rundo, Carmelo Pino, Riccardo Emanuele Sarpietro, Concetto Spampinato:
SARS-CoV-2 Induced Pneumonia Early Detection System Based on Chest X-Ray Images Analysis by Jacobian-Regularized Deep Network. 602-616 - Heng Ee Tay, Mei Kuan Lim, Chun Yong Chong:
SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter. 617-631 - Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone:
Predicting Alzheimer's Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning. 632-643 - Giovanna Castellano, Giuseppe Placidi, Matteo Polsinelli, Gianpiero Tulipani, Gennaro Vessio:
Unsupervised Brain MRI Anomaly Detection for Multiple Sclerosis Classification. 644-652
Multimodal Data for Mental Disorder Recognition (MDMR)
- Gang Fu, Jiayu Ye, Qingxiang Wang:
Dep-Emotion: Suppressing Uncertainty to Recognize Real Emotions in Depressed Patients. 655-667 - Tao Chen, Tong Zheng, Jinlong Shi, Yanrong Guo:
EEG-Based Joint Semi-supervised Learning for Major Depressive Disorder Detection. 668-681 - Michael Briden, Narges Norouzi:
Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis. 682-690 - Yueqi Jiang, Ziyang Zhang, Xiao Sun:
MMDA: A Multimodal Dataset for Depression and Anxiety Detection. 691-702
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