José Oramas

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Quantitative Evaluation

Activity Recognition

Convolutional Neural Networks

Object Detection

Top Venues

VISIGRAPP (5: VISAPP)

BNAIC/BENELEARN

Publications

Benjamin Vandersmissen, José Oramas
On the coherency of quantitative evaluation of visual explanations. Comput. Vis. Image Underst. 241 (2024)
Dieter Balemans, Benjamin Vandersmissen, Jan Steckel, Siegfried Mercelis, Philippe Reiter, José Oramas
Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study. VISIGRAPP (4): VISAPP (2024)
Benjamin Vandersmissen, Arian Sabaghi, Philippe Reiter, José Oramas
Recognizing Actions in High-Resolution Low-Framerate Videos: A Feasibility Study in the Construction Sector. VISIGRAPP (4): VISAPP (2024)
Hamed Behzadi Khormuji, José Oramas
A Protocol for Evaluating Model Interpretation Methods from Visual Explanations. WACV (2023)
Benjamin Vandersmissen, José Oramas
On The Coherence of Quantitative Evaluation of Visual Expalantion. CoRR (2023)
Toon Meynen, Hamed Behzadi-Khormouji, José Oramas
Interpreting Convolutional Neural Networks by Explaining Their Predictions. ICIP (2023)
Benjamin Vandersmissen, José Oramas
Considering Layerwise Importance in the Lottery Ticket Hypothesis. CoRR (2023)
Saja AL-Tawalbeh, José Oramas
Towards the Characterization of Representations Learned via Capsule-based Network Architectures. CoRR (2023)
Mattias Billast, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré
Human Motion Prediction on the IKEA-ASM Dataset. VISIGRAPP (5: VISAPP) (2023)
Salma Haidar, José Oramas
Training Methods of Multi-Label Prediction Classifiers for Hyperspectral Remote Sensing Images. Remote. Sens. 15 (24) (2023)
Thomas Dooms, Ing Jyh Tsang, José Oramas
The Trifecta: Three simple techniques for training deeper Forward-Forward networks. CoRR (2023)
Jana Osstyn, Femke Danckaers, Annemieke Van Haver, José Oramas, Matthias Vanhees, Jan Sijbers
Automated Virtual Reduction of Displaced Distal Radius Fractures. ISBI (2023)
Salma Haidar, José Oramas
A Contrastive Learning Method for Multi-Label Predictors on Hyperspectral Images. WHISPERS (2023)
Salma Haidar, José Oramas
Training Methods of Multi-label Prediction Classifiers for Hyperspectral Remote Sensing Images. CoRR (2023)
Hamed Behzadi-Khormouji, José Oramas
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks. CoRR (2023)
Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas
AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence. CIKM (2022)
Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
Deep Set Conditioned Latent Representations for Action Recognition. VISIGRAPP (5: VISAPP) (2022)
Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré, Peter Hellinckx
Object Detection To Enable Autonomous Vessels On European Inland Waterways. IECON (2022)
Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
Deep set conditioned latent representations for action recognition. CoRR (2022)
Kaili Wang, José Oramas, Tinne Tuytelaars
MinMaxCAM: Improving object coverage for CAM-based Weakly Supervised Object Localization. BMVC (2021)
Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
Task Independent Capsule-Based Agents for Deep Q-Learning. BNAIC/BENELEARN (2021)
Mattias Billast, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. BNAIC/BENELEARN (2021)
Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas
AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. CIKM (2020)