Arnau Ramisa

According to our database1, Arnau Ramisa authored at least 45 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
T-VSE: Transformer-Based Visual Semantic Embedding.
CoRR, 2020

Orderless Recurrent Models for Multi-Label Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Metrics From Teachers: Compact Networks for Image Embedding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
BreakingNews: Article Annotation by Image and Text Processing.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Visually-Aware Personalized Recommendation using Interpretable Image Representations.
CoRR, 2018

Color Naming for Multi-color Fashion Items.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

2017
Multimodal News Article Analysis.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

The BreakingNews Dataset.
Proceedings of the Sixth Workshop on Vision and Language, 2017

2016
A 3D descriptor to detect task-oriented grasping points in clothing.
Pattern Recognit., 2016

Structured Prediction with Output Embeddings for Semantic Image Annotation.
Proceedings of the NAACL HLT 2016, 2016


Overview of the ImageCLEF 2016 Scalable Concept Image Annotation Task.
Proceedings of the Working Notes of CLEF 2016, 2016

2015
Efficient monocular pose estimation for complex 3D models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Combining Geometric, Textual and Visual Features for Predicting Prepositions in Image Descriptions.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Defining Visually Descriptive Language.
Proceedings of the Fourth Workshop on Vision and Language, 2015

Semantic Tuples for Evaluation of Image to Sentence Generation.
Proceedings of the Fourth Workshop on Vision and Language, 2015

2014
Learning RGB-D descriptors of garment parts for informed robot grasping.
Eng. Appl. Artif. Intell., 2014

Evaluation of Random Forests on large-scale classification problems using a Bag-of-Visual-Words representation.
Proceedings of the Artificial Intelligence Research and Development, 2014

2013
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies.
Int. J. Comput. Vis., 2013

FINDDD: A fast 3D descriptor to characterize textiles for robot manipulation.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Large-Scale Image Classification Using Ensembles of Nested Dichotomies.
Proceedings of the Artificial Intelligence Research and Development, 2013

2012
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot.
J. Intell. Robotic Syst., 2012

Using depth and appearance features for informed robot grasping of highly wrinkled clothes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Single image 3D human pose estimation from noisy observations.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Object detection methods for robot grasping: Experimental assessment and tuning.
Proceedings of the Artificial Intelligence Research and Development, 2012

2011
Combining Invariant Features and the ALV Homing Method for Autonomous Robot Navigation Based on Panoramas.
J. Intell. Robotic Syst., 2011

Bioinspired Robot Homing using ALV and Visual Features.
ERCIM News, 2011

Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

Combining attributes and Fisher vectors for efficient image retrieval.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Self-Supervised Clustering for Codebook Construction: An Application to Object Localization.
Proceedings of the Artificial Intelligence Research and Development, 2011

Determining Where to Grasp Cloth Using Depth Information.
Proceedings of the Artificial Intelligence Research and Development, 2011

2010
Automatic Selection of Object Recognition Methods Using Reinforcement Learning.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Fast and robust object segmentation with the Integral Linear Classifier.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Real-Time Object Segmentation Using a Bag of Features Approach.
Proceedings of the Artificial Intelligence Research and Development, 2010

2009
Robust vision-based robot localization using combinations of local feature region detectors.
Auton. Robots, 2009

Efficient Object Pixel-Level Categorization Using Bag of Features.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Visual Registration Method for a Low Cost Robot.
Proceedings of the Computer Vision Systems, 2009

Evaluation of the SIFT Object Recognition Method in Mobile Robots.
Proceedings of the Artificial Intelligence Research and Development, 2009

2008
A Tale of Two Object Recognition Methods for Mobile Robots.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

Mobile robot localization using panoramic vision and combinations of feature region detectors.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Learning to Select Object Recognition Methods for Autonomous Mobile Robots.
Proceedings of the ECAI 2008, 2008

Object-based Place Recognition for Mobile Robots Using Panoramas.
Proceedings of the Artificial Intelligence Research and Development, 2008

2007
Comparing combinations of feature regions for panoramic VSLAM.
Proceedings of the ICINCO 2007, 2007

An Evaluation of an Object Recognition Schema Using Multiple Region Detectors.
Proceedings of the Artificial Intelligence Research and Development, 2007

Using the Average Landmark Vector Method for Robot Homing.
Proceedings of the Artificial Intelligence Research and Development, 2007


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