University of Antwerp, imec-IDLab
Stadscampus, Sint-Pietersvliet 7
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 Internet Data Lab (imec-IDLab) at UAntwerpen as Assistant Professor (tenure track). 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 improve artificial visual perception 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.
A copy of my CV can be found here.
Representation Learning, Model Interpretability/Explainability, Multiple Instance Learning, Computer Vision.
2020-05 : One paper accepted at ICIP 2020 (Preprint).
2019-12 : Our FWO project proposal on the topic of Explainable AI got awarded.
2019-10 : I have joined the IDLab at UAntwerpen as Assistant Professor.
2019-06 : Honored to be considered an Outstanding Reviewer for CVPR 2019.
2019-05 : One paper accepted at ICIP 2019.
2019-03 : I will be giving a tutorial at ECVP 2019.
2018-12 : One paper accepted at ICLR 2019 (Preprint).
2018-10 : Our interpretation/explanation work received a Bell Labs Student Award.
2018-04 : Just received a GPU gift from NVIDIA.
2018-03 : Got among the top-30% scored reviewers at NIPS 2018.
2018-01 : Two papers accepted for WACV 2018.
2017-04 : One paper accepted at CVIU (Preprint).
2017-02 : Just received a generous academic hardware grant from NVIDIA.
2016-09 : I will be attending the Google Computer Vision Summit in Zurich.
2016-08 : One paper accepted at CVIU (Preprint).
2016-07 : I got awarded a KU Leuven PDM grant.
2016-04 : One paper accepted at TPAMI (Preprint).
- Fall 2018, H01D4A : (PO-3) Problem Solving and Engineering Design.
- Fall 2017, H01D4A : (PO-3) Problem Solving and Engineering Design.(demo)
- Fall 2016, H01D4A : (PO-3) Problem Solving and Engineering Design.(demo)
- Fall 2015, H01D4A : (PO-3) Problem Solving and Engineering Design.(demo)
- Fall 2014, H01D4A : (PO-3) Problem Solving and Engineering Design (*).(demo)
- Spring 2014, H09J2A : Pattern Recognition and Image Interpretation.
- Fall 2013, H01D4A : (PO-3) Problem Solving and Engineering Design.(demo)
- Fall 2012, H01D4A : (PO-3) Problem Solving and Engineering Design. (demo)
- Kaili Wang (co-supervised with Tinne Tuytelaars).
- Roger Granda
- Zehao Wang (co-supervised with Kaili Wang).
- Zhou Wang
- Lies Bollens
- Kevin Bardool
- Shitong Sun
- Jean-Baptiste Verroken
- Chirstiaan Vanbergen
- Kaili Wang (co-supervised with Yu-Hui Huang).
- Seppe Iven (co-supervised with Bert De Brabandere).
- Jonas Heylen (co-supervised with Bert De Brabandere).
- Pieter De Clerq
- Michiel Vanuytsel (co-supervised with Konstantinos Rematas).
- Marc Martínez-Camarena.
- Anneline Daggelinckx
Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool and Tinne Tuytelaars
Technical Report PDF (arXiv:1812.02134)
I have collaborated in the following projects:
- Tomorrow's Scalable and PersOnalised advertising Technology, Today (concluded)
- Lecture+ (concluded)
- ICO LoCoVision (concluded)
- IWT PARIS (concluded)
- ERC COGNIMUND (concluded)
Reviewer for several scientific venues including TMM, CVIU, TIP, JMLC, JAIR, NIPS, ICML, CVPR, ICCV, ECCV, ICLR, AAAI, ICRA.
Co-organizer of the tutorial "Deep convolutional neural networks as a tool for vision science" at ECVP 2019
Session Chair at ICIP 2015.
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).
"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.