José Oramas M.

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 28

Top Topics

Action Recognition

Multiple Instance

Top Venues

BNAIC/BENELEARN

Publications

Kaili Wang, José Oramas M., Tinne Tuytelaars
MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization. CoRR (2021)
Kaili Wang, José Oramas M., Tinne Tuytelaars
Towards Human-Understandable Visual Explanations: Imperceptible High-frequency Cues Can Better Be Removed. CoRR (2021)
Kaili Wang, José Oramas M., Tinne Tuytelaars
Multiple Exemplars-Based Hallucination for Face Super-Resolution and Editing. ACCV (5) (2020)
Kaili Wang, José Oramas M., Tinne Tuytelaars
In Defense of LSTMs for Addressing Multiple Instance Learning Problems. ACCV (6) (2020)
Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool, Tinne Tuytelaars
Unpaired Image-To-Image Shape Translation Across Fashion Data. ICIP (2020)
Roger Granda, Tinne Tuytelaars, José Oramas M.
Can the state of relevant neurons in a deep neural networks serve as indicators for detecting adversarial attacks? CoRR (2020)
Zehao Wang, Kaili Wang, Tinne Tuytelaars, José Oramas M.
Information Compensation for Deep Conditional Generative Networks. CoRR (2020)
Kaili Wang, José Oramas M., Tinne Tuytelaars
Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing. CoRR (2020)
Kevin Bardool, Tinne Tuytelaars, José Oramas M.
A Systematic Analysis of a Context Aware Deep Learning Architecture for Object Detection. BNAIC/BENELEARN (2019)
José Oramas M., Kaili Wang, Tinne Tuytelaars
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks. ICLR (Poster) (2019)
Kaili Wang, José Oramas M., Tinne Tuytelaars
An Iterative Approach for Multiple Instance Learning Problems. CoRR (2019)
Lies Bollens, Tinne Tuytelaars, José Oramas M.
Towards Object Shape Translation Through Unsupervised Generative Deep Models. ICIP (2019)
José Oramas M., Kaili Wang, Tinne Tuytelaars
Interpreting and Explaining Deep Models Visually. BNAIC/BENELEARN (2019)
Kevin Bardool, Tinne Tuytelaars, José Oramas M.
A Context Aware Deep Learning Architecture for Object Detection. BNAIC/BENELEARN (2019)
Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool, Tinne Tuytelaars
Integrated unpaired appearance-preserving shape translation across domains. CoRR (2018)
Kaili Wang, Yu-Hui Huang, José Oramas M., Luc Van Gool, Tinne Tuytelaars
An Analysis of Human-Centered Geolocation. WACV (2018)
Jonas Heylen, Seppe Iven, Bert De Brabandere, José Oramas M., Luc Van Gool, Tinne Tuytelaars
From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks. WACV (2018)
José Oramas M., Luc De Raedt, Tinne Tuytelaars
Context-based object viewpoint estimation: A 2D relational approach. Comput. Vis. Image Underst. 160 (2017)
José Oramas M., Kaili Wang, Tinne Tuytelaars
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks. CoRR (2017)
Kaili Wang, Yu-Hui Huang, Luc Van Gool, José Oramas M., Tinne Tuytelaars
An Analysis of Human-centered Geolocation. CoRR (2017)
José Oramas M., Luc De Raedt, Tinne Tuytelaars
Context-based Object Viewpoint Estimation: A 2D Relational Approach. CoRR (2017)
José Oramas M., Tinne Tuytelaars
Recovering hard-to-find object instances by sampling context-based object proposals. Comput. Vis. Image Underst. 152 (2016)
José Oramas M., Tinne Tuytelaars
Modeling Visual Compatibility through Hierarchical Mid-level Elements. CoRR (2016)
Marc Martínez-Camarena, José Oramas M., Mario Montagud Climent, Tinne Tuytelaars
Reasoning about Body-Parts Relations for Sign Language Recognition. CoRR (2016)
Basura Fernando, Efstratios Gavves, José Oramas M., Amir Ghodrati, Tinne Tuytelaars
Modeling video evolution for action recognition. CVPR (2015)
Marc Martínez-Camarena, José Oramas M., Tinne Tuytelaars
Towards sign language recognition based on body parts relations. ICIP (2015)
José Oramas M., Tinne Tuytelaars
Recovering hard-to-find object instances by sampling context-based object proposals. CoRR (2015)
Basura Fernando, Efstratios Gavves, José Oramas M., Amir Ghodrati, Tinne Tuytelaars
Rank Pooling for Action Recognition. CoRR (2015)
José Oramas M., Luc De Raedt, Tinne Tuytelaars
Towards cautious collective inference for object verification. WACV (2014)
José Oramas M., Tinne Tuytelaars
Scene-driven Cues for Viewpoint Classification for Elongated Object Classes. BMVC (2014)
José Oramas M., Luc De Raedt, Tinne Tuytelaars
Allocentric Pose Estimation. ICCV (2013)
Lieven Billiet, José Oramas M., McElory Hoffmann, Wannes Meert, Laura Antanas
Rule-based Hand Posture Recognition using Qualitative Finger Configurations Acquired with the Kinect. ICPRAM (2013)
Laura Antanas, Martijn van Otterlo, José Oramas M., Tinne Tuytelaars, Luc De Raedt
A Relational Distance-based Framework for Hierarchical Image Understanding. ICPRAM (2) (2012)
Laura Antanas, Martijn van Otterlo, José Oramas M., Tinne Tuytelaars, Luc De Raedt
Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses. ILP (2010)