Third Workshop on Reproducible Research in Pattern Recognition

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
16:35 - 16:45	› Structure and Concept of the Benchmark for Vesselness Filters with focus on Reproducibilty and Future Evaluations - Jonas Lamy
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 Lohan
17:10 - 17:25	› Tree Defect Segmentation using Geometric Features and CNN - Florian Delconte
17:25 - 17:40	› Creating Emotion Recognition Algorithms based on a Convolutional Neural Network for Sentiment Analysis - 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 - 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

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

16:35 - 16:45

› Structure and Concept of the Benchmark for Vesselness Filters with focus on Reproducibilty and Future Evaluations - Jonas Lamy

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 Lohan

17:10 - 17:25

› Tree Defect Segmentation using Geometric Features and CNN - Florian Delconte

17:25 - 17:40

› Creating Emotion Recognition Algorithms based on a Convolutional Neural Network for Sentiment Analysis - 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 - 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