José Oramas M.

35 papers A* 3A 4B 4C 1Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Improving Neural Network Accuracy by Concurrently Training with a Twin Network. ICLR Benjamin Vandersmissen, Lucas Deckers, José Oramas M.
2024	J	`jnl`	Bilinear MLPs enable weight-based mechanistic interpretability. CoRR Michael T. Pearce, Thomas Dooms, Alice Rigg, José Oramas M., Lee Sharkey
2021	J	`jnl`	MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization. CoRR Kaili Wang, José Oramas M., Tinne Tuytelaars
2021	J	`jnl`	Towards Human-Understandable Visual Explanations: Imperceptible High-frequency Cues Can Better Be Removed. CoRR Kaili Wang, José Oramas M., Tinne Tuytelaars
2020	J	`jnl`	Can the state of relevant neurons in a deep neural networks serve as indicators for detecting adversarial attacks? CoRR Roger Granda, Tinne Tuytelaars, José Oramas M.
2020	—	`conf`	In Defense of LSTMs for Addressing Multiple Instance Learning Problems. ACCV (6) Kaili Wang, José Oramas M., Tinne Tuytelaars
2020	—	`conf`	Multiple Exemplars-Based Hallucination for Face Super-Resolution and Editing. ACCV (5) Kaili Wang, José Oramas M., Tinne Tuytelaars
2020	J	`jnl`	Multiple Exemplars-based Hallucinationfor Face Super-resolution and Editing. CoRR Kaili Wang, José Oramas M., Tinne Tuytelaars
2020	B	`conf`	Unpaired Image-To-Image Shape Translation Across Fashion Data. ICIP Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool, Tinne Tuytelaars
2019	—	`conf`	A Context Aware Deep Learning Architecture for Object Detection. BNAIC/BENELEARN Kevin Bardool, Tinne Tuytelaars, José Oramas M.
2019	—	`conf`	A Systematic Analysis of a Context Aware Deep Learning Architecture for Object Detection. BNAIC/BENELEARN Kevin Bardool, Tinne Tuytelaars, José Oramas M.
2019	J	`jnl`	An Iterative Approach for Multiple Instance Learning Problems. CoRR Kaili Wang, José Oramas M., Tinne Tuytelaars
2019	—	`conf`	Interpreting and Explaining Deep Models Visually. BNAIC/BENELEARN José Oramas M., Kaili Wang, Tinne Tuytelaars
2019	B	`conf`	Towards Object Shape Translation Through Unsupervised Generative Deep Models. ICIP Lies Bollens, Tinne Tuytelaars, José Oramas M.
2019	—	`conf`	Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks. ICLR (Poster) José Oramas M., Kaili Wang, Tinne Tuytelaars
2018	A	`conf`	An Analysis of Human-Centered Geolocation. WACV Kaili Wang, Yu-Hui Huang, José Oramas M., Luc Van Gool, Tinne Tuytelaars
2018	A	`conf`	From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks. WACV Jonas Heylen, Seppe Iven, Bert De Brabandere, José Oramas M., Luc Van Gool, Tinne Tuytelaars
2018	J	`jnl`	Integrated unpaired appearance-preserving shape translation across domains. CoRR Kaili Wang, Liqian Ma, José Oramas M., Luc Van Gool, Tinne Tuytelaars
2017	J	`jnl`	An Analysis of Human-centered Geolocation. CoRR Kaili Wang, Yu-Hui Huang, Luc Van Gool, José Oramas M., Tinne Tuytelaars
2017	J	`jnl`	Context-based Object Viewpoint Estimation: A 2D Relational Approach. CoRR José Oramas M., Luc De Raedt, Tinne Tuytelaars
2017	J	`jnl`	Context-based object viewpoint estimation: A 2D relational approach. Comput. Vis. Image Underst. José Oramas M., Luc De Raedt, Tinne Tuytelaars
2017	J	`jnl`	Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks. CoRR José Oramas M., Kaili Wang, Tinne Tuytelaars
2016	J	`jnl`	Modeling Visual Compatibility through Hierarchical Mid-level Elements. CoRR José Oramas M., Tinne Tuytelaars
2016	J	`jnl`	Reasoning about Body-Parts Relations for Sign Language Recognition. CoRR Marc Martínez-Camarena, José Oramas M., Mario Montagud Climent, Tinne Tuytelaars
2016	J	`jnl`	Recovering hard-to-find object instances by sampling context-based object proposals. Comput. Vis. Image Underst. José Oramas M., Tinne Tuytelaars
2015	A*	`conf`	Modeling video evolution for action recognition. CVPR Basura Fernando, Efstratios Gavves, José Oramas M., Amir Ghodrati, Tinne Tuytelaars
2015	J	`jnl`	Rank Pooling for Action Recognition. CoRR Basura Fernando, Efstratios Gavves, José Oramas M., Amir Ghodrati, Tinne Tuytelaars
2015	J	`jnl`	Recovering hard-to-find object instances by sampling context-based object proposals. CoRR José Oramas M., Tinne Tuytelaars
2015	B	`conf`	Towards sign language recognition based on body parts relations. ICIP Marc Martínez-Camarena, José Oramas M., Tinne Tuytelaars
2014	A	`conf`	Scene-driven Cues for Viewpoint Classification for Elongated Object Classes. BMVC José Oramas M., Tinne Tuytelaars
2014	A	`conf`	Towards cautious collective inference for object verification. WACV José Oramas M., Luc De Raedt, Tinne Tuytelaars
2013	A*	`conf`	Allocentric Pose Estimation. ICCV José Oramas M., Luc De Raedt, Tinne Tuytelaars
2013	C	`conf`	Rule-based Hand Posture Recognition using Qualitative Finger Configurations Acquired with the Kinect. ICPRAM Lieven Billiet, José Oramas M., McElory Hoffmann, Wannes Meert, Laura Antanas
2012	—	`conf`	A Relational Distance-based Framework for Hierarchical Image Understanding. ICPRAM (2) Laura Antanas, Martijn van Otterlo, José Oramas M., Tinne Tuytelaars, Luc De Raedt
2010	B	`conf`	Not Far Away from Home: A Relational Distance-Based Approach to Understanding Images of Houses. ILP Laura Antanas, Martijn van Otterlo, José Oramas M., Tinne Tuytelaars, Luc De Raedt