Office: S.B, S.BC.702
University of Antwerp, imec-IDLab
Sint-Pietersvliet 7
Antwerp, B2000
Belgium.
tel: +32 326 59783
jose.oramas AT uantwerpen DOT be
I come from that little country in the middle of the world, Ecuador. In October 2019, I joined the IDLab at UAntwerp as Assistant Professor. I received my PhD at the Center for Processing Speech and Images (ESAT-PSI) of KU. Leuven under the advice of Prof. Tinne Tuytelaars and Prof. Luc de Raedt in April 2015. Earlier I received my engineering degree from Escuela Superior Politecnica del Litoral in Ecuador. During my Ph.D. I conducted research on understanding how groups of elements from the image (objects, object-parts, image regions, trajectories, etc.) interact and how the relationships between them can be exploited to address computer vision problems. This fueled my interest towards investigating exploratory/explanatory models that can identify informative intermediate representations and use them as means to justify the predictions that they make.
Representation Learning, Model Interpretability and Explainability, Multiple Instance Learning and Collective Classification, Computer Vision
2025-01: Two papers accepted at ICLR'25 on Twin Network Augmentation and Interpretability via Bilinear MLPs.
2025-01: One paper on the quantification of generative stability got accepted at a WACV'25 workshop.
2024-12: Our work on Compositionality and Interpretability was accepted at ColoRAI@AAAI'25.
2024-12: Our work on the interpretability of CapsNets was accepted at Neurocomputing .
2024-10: Our paper on deeper forward-forward networks got accepted at TMLR.
2024-09: I got tenured!
2024-09: I got a awarded the Education Award 23-24 by the Faculty of Science at UAntwerp.
2024-07: One paper on the analysis of feature dynamics accepted at XKDD@ECML-PKDD 2024.
2024-07: I gave a talk at the Flanders AI Forum 2024.
2024-06: One paper on the subjective evaluation of visual explanations accepted at TOMM.
2024-02: I gave a tutorial on model explainability at the BOSA'24 Winter School.
2024-01: One paper on the quantitative evaluation of visual explanations accepted at CVIU.
- Outstanding Reviewer at CVPR 2019, NeurIPS 2020, ACCV 2020, ICCV 2021, ICLR 2022
- University of Antwerp - Faculty of Science - Education Award 2023-2024
- IEEE ICIP 2020 Best Paper Award Runner-up (top 0.3%)
- BNAIC/BENELEARN 2019 Student Paper Award Finalist
- Nokia Bell Labs Student Award Benelux 2018
- NVIDIA Academic Hardware Grant 2015-2018
- ICPRAM 2012 Best Application Paper Award
Courses
- 2500WETANN: Artificial Neural Networks (Spring 2023, 2022, 2021)
- 1500WETOPS: Operating Systems (Fall 2023, 2022, 2021)
- 1500WETAPR: Advanced Programming (Fall 2022, 2021, 2020, 2019)
- 1500WETDIS: Distributed Systems (Fall 2023, 2022, 2021, 2020, 2019)
- H01D4A : (PO-3) Problem Solving and Engineering Design
(Fall 2018, 2017,
2016,
2015,
2014
(*).
2013,
2012)
- H09J2A: Pattern Recognition and Image Interpretation (Spring 2014).
Doctoral Students
- Peter Kirby
- Thomas Dooms
- Fabian Denoodt
- Stijn D'Hondt (co-advised with Hans De Winter).
- Arian Sabaghi Khameneh
- Benjamin Vandersmissen
- Jens Duym (co-advised with Ali Anwar)
- Saja Tawalbeh
- Hamed Behzadi Khormouji
- Salma Haidar
Alumni
- Kaili Wang (co-advised with Tinne Tuytelaars, now at imec).
Benjamin Vandersmissen, Lucas Deckers, José Oramas M.
ICLR 2025
(to appear)
Michael T. Pearce, Thomas Dooms, Alice Rigg, José Oramas M., Lee Sharkey
ICLR 2025 (to appear)
Pre-print (arXiv:2410.08417)
Saja AL-Tawalbeh and José Oramas M.
Neurocomputing
PDF |
Pre-print (arXiv:2305.05349)
Thomas Dooms, Ward Gauderis, Geraint A. Wiggins, José Oramas M.
AAAI 2025 ColoRAI Workshop
PDF
Jens Duym, José Oramas M., Ali Anwar
WACV 2025 Workshops
PDF (CVF Website)
Thayheng Nhem*, Fabian Denoodt*, José Oramas M.
WCNC 2025
Pre-print
Thomas Dooms, Ing Jyh Tsang and José Oramas M.
Transactions of Machine Learning Research (TMLR)
PDF |
Pre-print (arXiv:2311.18130)
Benjamin Vandersmissen and José Oramas M.
Computer Vision and Image Understanding (CVIU)
PDF |
Pre-print (arXiv:2302.10764)
Yuqing Yang, Boris Joukovsky, José Oramas M., Tinne Tuytelaars, Nikolaos Deligiannis.
ACM Transactions on Multimedia Computing, Communications and Applications (TOMM)
Publisher Link
Hamed Behzadi-Khormouji, José Oramas M.
Technical Report
Pre-print (arXiv:2410.00524)
Hamed Behzadi-Khormouji, Lena De Roeck, José Oramas M.
ECML-PKDD Workshops (XKDD) 2024 (oral)
PDF
Fabian Denoodt, Bart de Boer and José Oramas M.
Technical Report
Pre-print (arXiv:2408.12936)
Benjamin Vandersmissen, Arian Sabaghi , Phil Reiter, and José Oramas M.
VISAPP 2024 (oral)
Link
Dieter Balemans, Benjamin Vandersmissen, Jan Steckel, Siegfried Mercelis, Phil Reiter, and José Oramas M.
VISAPP 2024
Link
Hamed Behzadi-Khormouji, José Oramas M.
WACV 2023
PDF |
Supp.Material |
Bibtex
Toon Meynen, Hamed Behzadi-Khormouji, José Oramas M.
ICIP 2023
PDF (author version) |
Poster
Salma Haidar, José Oramas M.
WHISPERS 2023 (oral)
PDF (author version)
Salma Haidar and José Oramas M..
Remote Sensing
PDF (arXiv:2301.06874) |
Publisher Site
Benjamin Vandersmissen and José Oramas M.
Technical Report
PDF (arXiv:2302.11244)
Hamed Behzadi-Khormouji and José Oramas M.
Technical Report
PDF (arXiv:2305.10121)
Jana Oostyn, Femke Danckaers, A. Van Haver, José Oramas M, M. Vanhees, Jan Sijbers
ISBI 2023
Andrei Bondarenko, Saja AL-Tawalbeh and José Oramas M.
ECML-PKDD Workshops 2023
PDF (author version)
Mattias Billast, Kevin Mets, Tom De Schepper, José Oramas M., and Steven Latré.
VISAPP 2023 (oral)
Akash Singh, Kevin Mets, Tom De Schepper, Peter Hellinckx, José Oramas M., and Steven Latré.
VISAPP 2022 (oral)
PDF (author-version)
Kaili Wang, José Oramas M., and Tinne Tuytelaars.
Technical Report
PDF (arXiv:2104.07954)
Kaili Wang, José Oramas M., and Tinne Tuytelaars.
BMVC 2021
PDF |
Supp. Mat. |
Video |
arXiv:2104.14375
Akash Singh, Kevin Mets, Tom De Schepper, Peter Hellinckx, José Oramas M., and Steven Latré.
BNAIC-BeNeLearn 2021.
Mattias Billast, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas M., and Steven Latré.
BNAIC-BeNeLearn 2021.
Pieter Vanneste, José Oramas M., Thomas Verelst, Tinne Tuytelaars, Annelies Raes, Fien Depaepe and Wim Van den Noortgate.
Mathematics
Publisher site |
PDF
Kaili Wang, José Oramas M., and Tinne Tuytelaars.
ACCV 2020 (oral)
PDF (arXiv:1909.05690) |
Bibtex
Kaili Wang, José Oramas M., and Tinne Tuytelaars.
ACCV 2020
PDF (arXiv:2009.07827) |
Bibtex
Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool and Tinne Tuytelaars.
ICIP 2020
(Best Paper Award Finalist)
PDF (pre-print) |
Bibtex
Zehao Wang, Kaili Wang, Tinne Tuytelaars and José Oramas M..
Technical Report
PDF (arXiv:2001.08559) |
Bibtex
Roger Granda, Tinne Tuytelaars and José Oramas M..
Technical Report
PDF (arXiv:2010.15974) |
José Oramas M., Kaili Wang, and Tinne Tuytelaars.
ICLR 2019
(Bell Labs Student Award)
PDF (arXiv:1712.06302) |
Project website |
Future X Days'18 Poster |
Bibtex
Kevin Bardool, Tinne Tuytelaars and José Oramas M..
BNAIC-BeNeLearn 2019.
(Best Student Paper Award Candidate)
PDF |
Ext.Abstract |
Bibtex
Lies Bollens, Tinne Tuytelaars and José Oramas M.
ICIP 2019 (oral)
PDF (author version) |
Publisher site |
Slides |
Bibtex
Sebastian Scherr, Florian Arendt, Thomas Frissen, and José Oramas M.
Social Science Computer Review 2019
Link |
Bibtex
Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool and Tinne Tuytelaars
Technical Report
PDF (arXiv:1812.02134)
Kaili Wang, Yu-Hui Huang, José Oramas M., Luc Van Gool, and Tinne Tuytelaars.
WACV 2018
PDF (arXiv:1707.02905) |
Project website |
Poster |
Slides |
Bibtex
Jonas Heylen, Seppe Iven, Bert de Brabandere, José Oramas M., Luc Van Gool, and Tinne Tuytelaars.
WACV 2018
PDF |
Project website |
Bibtex
José Oramas M., Luc De Raedt and Tinne Tuytelaars.
CVIU 2017.
Link |
PDF (arXiv:1704.06610) |
Bibtex
Basura Fernando, Efstratios Gavves, José Oramas M., Amir Ghodrati, and Tinne Tuytelaars.
TPAMI 2017.
PDF (arXiv:1512.01848) |
IEEEXplore |
Project website |
Code |
Bibtex
José Oramas M., Agusmian P. Ompusunggu, Tinne Tuytelaars and Abdellatif B. Temsamani
SPIE Optical Metrology 2017 (oral).
Link |
Bibtex
José Oramas M. and Tinne Tuytelaars.
CVIU 2016.
Link |
PDF (arXiv:1511.01954) |
Bibtex
José Oramas M. and Tinne Tuytelaars.
ECCV 2016 VSM (ws).
Ext.Abstract |
Poster
PDF (arXiv:1604.00036) |
Bibtex
Yu-Hui Huang, José Oramas M. and Tinne Tuytelaars and Luc Van Gool.
ECCV 2016 (ws), NIPS 2016 (ws)
PDF |
Bibtex
Marc Martínez-Camarena*, José Oramas M.*, Mario Montagud Climent, and Tinne Tuytelaars.
* Denotes equal contribution
Technical Report 2016.
PDF (arXiv:1607.06356) |
Bibtex
Basura Fernando, Efstratios Gavves, José Oramas M., Amir Ghodrati, and Tinne Tuytelaars.
CVPR 2015 (oral).
PDF |
Ext.Abstract |
Project website |
Code |
Bibtex
Marc Martínez-Camarena, José Oramas M., and Tinne Tuytelaars.
ICIP 2015 (oral).
PDF |
Slides |
Bibtex
José Oramas M.
Department of Electrical Engineering, KU Leuven.
April 2015.
PDF |
Ext.Abstract |
Slides |
Bibtex
José Oramas M. and Tinne Tuytelaars.
BMVC 2014.
PDF |
Supp.Material |
Ext.Abstract |
Poster |
Bibtex
José Oramas M., Luc De Raedt and Tinne Tuytelaars.
WACV 2014.
PDF |
Slides |
Poster |
Bibtex
Laura Antanas, Martijn van Otterlo, José Oramas M., Tinne Tuytelaars and Luc De Raedt.
Neurocomputing 2014.
PDF (Lirias)
Link |
Bibtex
José Oramas M., Luc De Raedt and Tinne Tuytelaars.
ICCV 2013.
PDF |
Poster |
Bibtex
Lieven Billiet, José Oramas M., McElory Hoffmann, Wannes Meert and Laura Antanas,
ICPRAM 2013
PDF |
Dataset |
Demo-1 |
Demo-2 |
Bibtex
Laura Antanas, Martijn van Otterlo, José Oramas M. , Tinne Tuytelaars, Luc De Raedt.
ICPRAM 2012. (oral)(Best Paper Award)
PDF |
Bibtex
José Oramas M. , Alejandro Moreno, Katherine Chiluiza.
eMinds 2011.
PDF |
Bibtex
I have collaborated in the following projects:
- Flanders AI Research Program (FAIR 2)
- imec.ICON BoB (concluded)
- UAntwerp BOF-DOCPRO4-NZ: Multimodal Relational Interpretation for Deep Models
- FWO Senior Fundamental project Desing & Interpret (concluded)
- SPOTT (concluded)
- imec.ICON Lecture+ (concluded)
- ICO LoCoVision (concluded)
- KUL-PDM/16/131: Context-aware reasoning for multi-camera action recognition.
- IWT PARIS (concluded)
- ERC COGNIMUND (concluded)
Reviewer for several scientific venues including ICJV, TMM, CVIU, TIP, JMLC, NeuIPS, ICML, CVPR, ICCV, ECCV, ICLR, AAAI, ICRA.
Co-organizer of the AIMLAI workshop held in conjunction with CIKM and ECML-PKDD.
Co-organizer of the tutorial "Deep convolutional neural networks as a tool for vision science" at ECVP 2019
Session Chair at ICIP 2015, DSSV-ECDA 2023 and ECML-PKDD 2024.
Co-organizer of the Latin American Free Software Installation Festival (FLISOL) 2007-2009 at
Guayaquil-Ecuador.
Co-founder of ESPOL’s Free Software community (KOKOA-ESPOL).
14/10/2024
"Model Interpretability: A Machine-centric View to Model Transparency"
Flanders AI Research Day 2024, Gent, Belgium.
11/06/2024
"Model Interpretability: Extracting insights on what an AI-System has learned"
Flanders AI Forum 2024, Gent, Belgium.
06/02/2024
"On the Explanainabiity of Deep Visual Classifiers".
Becoming Outstanding in Sports Analytics (BOSA), Gent, Belgium.
17/01/2023:
"Interpretation and Explanation of Deep Computer Vision Models".
VAIA & TRAIL AI courses, online.
03/02/2022 :
"Sobre la Importancia de Comprender los Modelos que Construimos".
ESPOL AI Seminar Series, online.
09/07/2020 :
"Making Learning-based Visual Represetations more Intelligible".
Data Science Portugal (DSPT) Webinar Series, online.
07/11/2019 :
"Interpreting and Explaining Deep Models Visually".
BNAIC/BENELEARN'19, Brussels, Belgium.
25/09/2019 :
"Towards Object Shape Translation Through Unsupervised Generative Deep Models".
ICIP'19, Taipei, Taiwan.
25/08/2019 :
"Model Interpretation and Explanation for Deep Neural Networks.".
ECVP'19, Leuven, Belgium.
14/05/2019 :
"Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks".
TTIC, Chicago, US.
01/04/2019 :
"Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks".
PSI lab, KU Leuven. Leuven, Belgium.
31/05/2018 :
"End-to-end modelling of visual data for autonomous navigation".
LICT Workshop on autonomous Systems. Leuven, Belgium.
11/07/2016 :
"Motion Blur Compensation for Line Scan Cameras".
LoCoVision Hands-On Workshop, Flanders Make, Leuven, Belgium.
28/09/2015 :
"Towards Sign Language Recognition based on Body Parts Relations".
ICIP'15, Quebec City, Canada.
29/04/2015 :
"Context-based Reasoning for Object Detection and Object Pose Estimation".
Arenberg Castle, KU Leuven. Leuven, Belgium.
14/08/2014 :
"Scene-driven Cues for Object Viewpoint Classification".
PSI lab, KU Leuven. Leuven, Belgium.
19/05/2014 :
"Towards Cautious Collective Inference for Object Verification".
PSI lab, KU Leuven. Leuven, Belgium.
25/04/2014 :
"Reasoning about Object Relations for Object Pose Classification".
NCCV'14. Ermelo, Netherlands.
24/03/2014 :
"Towards Cautious Collective Inference for Object Verification".
WACV'14. Steamboat Springs, US.
26/11/2013 :
"Allocentric Pose Estimation".
PSI lab, KU Leuven. Leuven, Belgium.
04/06/2013 :
"Cautious Collective Inference for Object Detection".
CS. Dept., KU Leuven. Leuven, Belgium.
25/10/2010 :
"Answering Complex Questions in Natural Language using Probabilistic Logic Programming and the Web".
BNAIC'10. Luxembourg.
19/10/2009 :
"Sign Language Recognition Technology for the Learning of Hearing-Impaired People".
SIGHI.be'09. Belgium.