Program

Monday, January 11, 2021

Time Event  
14:00 - 14:05 Workshop Introduction from organizers  
14:05 - 14:45 Invited Speaker (RRPR room)  
14:05 - 14:45 › Preserving source code in Software Heritage: a foundation for reproducibility - Roberto Di Cosmo  
14:45 - 15:30 RR Framework (RRPR room) - Miguel Colom  
14:45 - 15:00 › ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility - Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Oliehoek Frans, Annibale Panichella, Przemysław Pawełczak, Stjepan Picek, Mathijs De Weerdt, Jan Van Gemer  
15:00 - 15:15 › Reproducibility: Evaluating the Evaluations - Daniel Lopresti, George Nagy  
15:15 - 15:30 › torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation - Yoshitomo Matsubara  
15:30 - 15:40 Virtual Coffee break  
15:40 - 16:20 There and back again, a replicability tale - Invited Speaker from authors: N. Bonneel, D. Coeurjolly, J. Digne and N. Mellado  
16:20 - 16:45 RR Results - Daniel Lopresti  
16:20 - 16:35 › Pith Estimation on Tree Log End Images - , Rémi Decelle, Phuc Ngo, Isabelle Debled-Rennesson, Frédéric Mothe, Fleur Longuetaud  
16:35 - 16:45 › Structure and Concept of the Benchmark for Vesselness Filters with focus on Reproducibilty and Future Evaluations - Jonas Lamy, Bertrand Kerautret, Odyssée Merveille, Nicolas Passat  
16:45 - 16:55 Virtual Coffee break  
16:55 - 17:40 RR Results: Special Track Deep Learning (RRPR room) - Adrien Krähenbühl  
16:55 - 17:10 › Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection - Devashish Lohani, Carlos Crispim-Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne  
17:10 - 17:25 › Tree Defect Segmentation using Geometric Features and CNN - Florian Delconte, Phuc Ngo, Isabelle Debled-Rennesson, Bertrand Kerautret, Thiéry Constant, Van-Tho Nguyen  
17:25 - 17:40 › Creating Emotion Recognition Algorithms based on a Convolutional Neural Network for Sentiment Analysis - Ekaterina Tsapina and Vera Ivanyuk  
17:40 - 17:55 Fast track of short papers (RRPR room) - Carlos Crispim-Junior  
17:40 - 17:43 › Reproducing the sparse Huffman Address Map compression for deep neural networks - Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi  
17:43 - 17:46 › A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes - Bolelli, Stefano Allegretti, Costantino Grana  
17:46 - 17:49 › Implementation of Genetic Pseudo Rehearsal - Bhasker Sri Harsha Suri, Kalidas Yeturu  
17:49 - 17:52 › On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation - Martin Kolarik, Radim Burget, Carlos M. Travieso-Gonzalez, Jan Kocica  
17:52 - 17:55 › Reproducibility Aspects of Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors - Yuki Inoue  
17:55 - 18:00 Workshop Conclusion  
  
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