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The next LIVIA seminar will be held on Wednesday, November 2 at 12h00 in hybrid mode. Title: Joint Attention for Dimensional Emotion Recognition using Audio Visual Fusion by Gnana Praveen Rajasekar, Ph.D. candidate at the LIVIA Abstract: Automatic emotion recognition (ER) has recently gained a lot of interest due to its potential in many real-world […]
The next LIVIA seminar will be held on Thursday, August 18 at 12h00 in hybrid mode. Title: Semi-Weakly Supervised Object Detection by Sampling Pseudo Ground-Truth Boxes by Akhil Meethal, Ph.D. candidate at the LIVIA Abstract: Semi- and weakly-supervised learning have recently attracted considerable attention in the object detection literature since they can alleviate the cost […]
The next LIVIA seminar will be held on Thursday, July 21st at 12h00 in hybrid mode. Title: Structural Equation Modeling to latent causal representation learning for more trustable ML by Prof. Myriam Tami, Paris-Saclay, CentraleSupélec Abstract: Structural equation models (SEM) with latent variables (LVs) are used to model relationships between observable and latent variables. We […]
The next LIVIA seminar will be held on Thursday, June 23 at 12h00 in hybrid mode. Title: Privacy-Preserving Data Sharing and Security in Machine Learning Models by Prof. Mohammadhadi Shateri, Department of Systems Engineering Abstract: These days, many people admire the great effects and the importance of AI in different applications including healthcare, social media, […]
The next LIVIA seminar will be held on Thursday, May 19 at 12h00 in hybrid mode. Title: Local overlap reduction procedure for dynamic ensemble selection by Mariana A. Souza, Ph.D. candidate at LIVIA Résumé / Summary: (see paper in attachment) Class imbalance is a characteristic known for making learning more challenging for classification models as […]
The next LIVIA seminar will be held on Thursday, February 3rd at 12h00 by Zoom. Title: Deep Generative Models for Molecule Optimization by Dr. Xia Ning, Associate Professor in the Biomedical Informatics Department, and the Computer Science and Engineering Department at the Ohio State University Summary: Molecule optimization is a critical step in drug development […]
The next LIVIA seminar will be held on Wednesday, September 28 at 12h00 in hybrid mode. Title: Few-Shot Object Detection in Aerial Images by Pierre Le Jeune, Ph.D. candidate at the L2TI, University Sorbonne, Paris Abstract: Object Detection is a challenging task in computer vision. Recently, deep learning-based methods overcame classical algorithms both in terms […]
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger arXiv preprint arXiv:2104.06476 2021/8/1 Abstract : Recent advances in unsupervised domain adaptation have significantly improved the recognition accuracy of CNNs by alleviating the domain shift between (labeled) source and (unlabeled) target […]
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! Hoel Kervadec, Houda Bahig, Laurent Letourneau-Guillon, Jose Dolz, Ismail Ben Ayed Medical Imaging with Deep Learning 2021/8/25 Abstract : Standard losses for training deep segmentation networks could be seen as individual classifications of pixels, instead of supervising the global shape of […]
Flow guided mutual attention for person re-identification Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin, Ismail Ben Ayed, Eric Granger Image and Vision Computing 2021/9 Abstract : Person Re-Identification (ReID) is a challenging problem in many video analytics and surveillance applications, where a person’s identity must be associated across a distributed non-overlapping network of cameras. Video-based person […]
