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Jose Oramas
University Professor, imec
Associate Professor, sqIRL/IDLab, University of Antwerp
Joined
September 2016
Names
Jose Oramas
(Preferred)
,
José Oramas M.
,
José Oramas
,
José Oramas Mogrovejo
,
José Antonio Oramas Mogrovejo
Emails
****@esat.kuleuven.be
(Confirmed)
,
****@uantwerpen.be
(Confirmed)
,
****@imec.be
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Career & Education History
university Professor
imec
(imec.be)
2019
–
Present
Associate Professor
sqIRL/IDLab, University of Antwerp
(uantwerpen.be)
2019
–
Present
Postdoc
KU Leuven
(esat.kuleuven.be)
2015
–
2019
Advisors, Relations & Conflicts
PhD Advisor
Tinne Tuytelaars
2009
–
2019
PhD Advisor
Luc De Raedt
2009
–
2015
Expertise
Representation Learning
,
Interpretability
,
Explainability
Present
Publications
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks
Hamed Behzadi Khormouji
,
Jose Oramas
OpenReview Archive Direct Upload
Readers:
Everyone
Interpreting Convolutional Neural Networks by Explaining Their Predictions
Toon Meynen
,
Hamed Behzadi Khormouji
,
Jose Oramas
IEEE International Conference on Image Processing (ICIP)
Readers:
Everyone
Improving Neural Network Accuracy by Concurrently Training with a Twin Network
Benjamin Vandersmissen
,
Lucas Deckers
,
Jose Oramas
ICLR 2025 Poster
Readers:
Everyone
Bilinear MLPs enable weight-based mechanistic interpretability
Michael T Pearce
,
Thomas Dooms
,
Alice Rigg
,
Jose Oramas
,
Lee Sharkey
ICLR 2025 Spotlight
Readers:
Everyone
The Trifecta: Three simple techniques for training deeper Forward-Forward networks
Thomas Dooms
,
Ing Jyh Tsang
,
Jose Oramas
Accepted by TMLR
Readers:
Everyone
SNIPPET: A Framework for Subjective Evaluation of Visual Explanations Applied to DeepFake Detection
Yuqing Yang
,
Boris Joukovsky
,
José Oramas Mogrovejo
,
Tinne Tuytelaars
,
Nikos Deligiannis
ACM Trans. Multim. Comput. Commun. Appl. 2024
Readers:
Everyone
On the coherency of quantitative evaluation of visual explanations
Benjamin Vandersmissen
,
José Oramas
Comput. Vis. Image Underst. 2024
Readers:
Everyone
Smooth InfoMax - Towards easier Post-Hoc interpretability
Fabian Denoodt
,
Bart de Boer
,
José Oramas
CoRR 2024
Readers:
Everyone
Training Methods of Multi-Label Prediction Classifiers for Hyperspectral Remote Sensing Images
Salma Haidar
,
José Oramas
Remote. Sens. 2023
Readers:
Everyone
The Trifecta: Three simple techniques for training deeper Forward-Forward networks
Thomas Dooms
,
Ing Jyh Tsang
,
Jose Oramas
Submitted to ICLR 2024
Readers:
Everyone
View all 41 publications
Co-Authors
Adrien Bibal
Akash Singh
Alice Rigg
Amir Ghodrati
Bart de Boer
Basura Fernando
Benjamin Vandersmissen
Benoît Frénay
Boris Joukovsky
Efstratios Gavves
Fabian Denoodt
Hamed Behzadi Khormouji
Hamed Behzadi Khormuji
Hamed Behzadi-Khormouji
Ing Jyh Tsang
Kaili Wang
Kevin Mets
Lee Sharkey
Lies Bollens
Liqian Ma
Luc De Raedt
Luc Van Gool
Lucas Deckers
Luis Galárraga
Michael T Pearce
View all 39 co-authors