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Author |
V. Valev; Petia Radeva |
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Title |
A Method of Solving Pattern or image Recognition Problems by Learning Boolean Formulas. |
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Conference Article |
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Year |
1992 |
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Proc. of 11th IAPR International Conference on Pattern Recognition |
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II |
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359-362 |
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The Hague, Netherlands |
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IEEE Computer Society Press |
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ICPR |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ VaR1992b |
Serial |
253 |
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Author |
V. Valev; Petia Radeva |
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Title |
Constructing Quantitative Non-Reducible Descriptors. |
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Conference Article |
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Year |
1995 |
Publication |
9th Scandinavian Conference on Artificial Intelligence |
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2 |
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981-988 |
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Sweden |
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SCIA |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ VaR1995b |
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140 |
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Author |
David Guillamet; B. Moghaddam; Jordi Vitria |
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Title |
Modeling High-Order Dependencies in Local Appearance Models |
Type |
Conference Article |
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Year |
2003 |
Publication |
1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
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Volume |
2652 |
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Pages |
308-316 |
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Springer-Verlag |
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IbPRIA |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ GMV2003a |
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376 |
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Author |
David Guillamet; Jordi Vitria |
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Title |
An Experimental Evaluation of K-nn for Linear Transforms of Positive Data |
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Conference Article |
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Year |
2003 |
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1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
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2652 |
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317-325 |
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Springer-Verlag |
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IbPRIA |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ GuV2003a |
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379 |
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Author |
David Lloret; Joan Serrat; Antonio Lopez; Juan J. Villanueva |
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Title |
Ultrasound to MR Volume Registration for Brain Sinking Measurement |
Type |
Conference Article |
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Year |
2003 |
Publication |
1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
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Volume |
2652 |
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420-427 |
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Springer-Verlag |
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IbPRIA |
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ADAS |
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no |
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ADAS @ adas @ LSL2003a |
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384 |
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Author |
David Masip; Jordi Vitria |
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Title |
An Experimental Comparision of Dimensionality Reduction for Face Verification Methods |
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Conference Article |
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Year |
2003 |
Publication |
1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
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Volume |
2652 |
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Pages |
530-537 |
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Springer-Verlag |
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IbPRIA |
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OR;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ MaV2003a |
Serial |
386 |
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Author |
Daniel Ponsa; Xavier Roca |
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Title |
Multiple Model Approach to Deformable Shape Tracking |
Type |
Conference Article |
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Year |
2003 |
Publication |
1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
Abbreviated Journal |
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Volume |
2652 |
Issue |
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Pages |
782-792 |
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Address |
Springer-Verlag |
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IbPRIA |
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ADAS;ISE |
Approved |
no |
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Call Number |
ADAS @ adas @ PoR2003 |
Serial |
397 |
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Author |
Anna Salvatella; Maria Vanrell; Ramon Baldrich |
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Title |
Subtexture Components for Texture Description |
Type |
Conference Article |
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Year |
2003 |
Publication |
1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
Abbreviated Journal |
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Volume |
2652 |
Issue |
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Pages |
884-892 |
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Springer-Verlag |
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IbPRIA |
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Notes |
CIC |
Approved |
no |
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Call Number |
CAT @ cat @ SVR2003 |
Serial |
421 |
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Author |
Bogdan Raducanu; Alireza Bosaghzadeh; Fadi Dornaika |
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Title |
Facial Expression Recognition based on Multi-view Observations with Application to Social Robotics |
Type |
Conference Article |
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Year |
2014 |
Publication |
1st Workshop on Computer Vision for Affective Computing |
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Pages |
1-8 |
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Abstract |
Human-robot interaction is a hot topic nowadays in the social robotics community. One crucial aspect is represented by the affective communication which comes encoded through the facial expressions. In this paper, we propose a novel approach for facial expression recognition, which exploits an efficient and adaptive graph-based label propagation (semi-supervised mode) in a multi-observation framework. The facial features are extracted using an appearance-based 3D face tracker, view- and texture independent. Our method has been extensively tested on the CMU dataset, and has been conveniently compared with other methods for graph construction. With the proposed approach, we developed an application for an AIBO robot, in which it mirrors the recognized facial
expression. |
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Singapore; November 2014 |
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ACCV |
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Notes |
LAMP; |
Approved |
no |
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Call Number |
Admin @ si @ RBD2014 |
Serial |
2599 |
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Author |
Javad Zolfaghari Bengar; Bogdan Raducanu; Joost Van de Weijer |
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Title |
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning |
Type |
Conference Article |
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Year |
2021 |
Publication |
19th International Conference on Computer Analysis of Images and Patterns |
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Volume |
13052 |
Issue |
1 |
Pages |
403-413 |
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Abstract |
Active learning aims to select samples to be annotated that yield the largest performance improvement for the learning algorithm. Many methods approach this problem by measuring the informativeness of samples and do this based on the certainty of the network predictions for samples. However, it is well-known that neural networks are overly confident about their prediction and are therefore an untrustworthy source to assess sample informativeness. In this paper, we propose a new informativeness-based active learning method. Our measure is derived from the learning dynamics of a neural network. More precisely we track the label assignment of the unlabeled data pool during the training of the algorithm. We capture the learning dynamics with a metric called label-dispersion, which is low when the network consistently assigns the same label to the sample during the training of the network and high when the assigned label changes frequently. We show that label-dispersion is a promising predictor of the uncertainty of the network, and show on two benchmark datasets that an active learning algorithm based on label-dispersion obtains excellent results. |
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September 2021 |
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CAIP |
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LAMP; |
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no |
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Call Number |
Admin @ si @ ZRV2021 |
Serial |
3673 |
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Author |
Juan Ramon Terven Salinas; Bogdan Raducanu; Maria Elena Meza-de-Luna; Joaquin Salas |
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Title |
Evaluating Real-Time Mirroring of Head Gestures using Smart Glasses |
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Conference Article |
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Year |
2015 |
Publication |
16th IEEE International Conference on Computer Vision Workshops |
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452-460 |
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Abstract |
Mirroring occurs when one person tends to mimic the non-verbal communication of their counterparts. Even though mirroring is a complex phenomenon, in this study, we focus on the detection of head-nodding as a simple non-verbal communication cue due to its significance as a gesture displayed during social interactions. This paper introduces a computer vision-based method to detect mirroring through the analysis of head gestures using wearable cameras (smart glasses). In addition, we study how such a method can be used to explore perceived competence. The proposed method has been evaluated and the experiments demonstrate how static and wearable cameras seem to be equally effective to gather the information required for the analysis. |
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Santiago de Chile; December 2015 |
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ICCVW |
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LAMP; 600.068; 600.072; |
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no |
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Admin @ si @ TRM2015 |
Serial |
2722 |
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Author |
Angel Valencia; Roger Idrovo; Angel Sappa; Douglas Plaza; Daniel Ochoa |
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Title |
A 3D Vision Based Approach for Optimal Grasp of Vacuum Grippers |
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Conference Article |
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Year |
2017 |
Publication |
IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics |
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In general, robot grasping approaches are based on the usage of multi-finger grippers. However, when large size objects need to be manipulated vacuum grippers are preferred, instead of finger based grippers. This paper aims to estimate the best picking place for a two suction cups vacuum gripper,
when planar objects with an unknown size and geometry are considered. The approach is based on the estimation of geometric properties of object’s shape from a partial cloud of points (a single 3D view), in such a way that combine with considerations of a theoretical model to generate an optimal contact point
that minimizes the vacuum force needed to guarantee a grasp.
Experimental results in real scenarios are presented to show the validity of the proposed approach. |
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San Sebastian; Spain; May 2017 |
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ECMSM |
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ADAS; 600.086; 600.118 |
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no |
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Admin @ si @ VIS2017 |
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2917 |
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Author |
Xinhang Song; Luis Herranz; Shuqiang Jiang |
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Title |
Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs |
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Conference Article |
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2017 |
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31st AAAI Conference on Artificial Intelligence |
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RGB-D scene recognition; weakly supervised; fine tune; CNN |
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Scene recognition with RGB images has been extensively studied and has reached very remarkable recognition levels, thanks to convolutional neural networks (CNN) and large scene datasets. In contrast, current RGB-D scene data is much more limited, so often leverages RGB large datasets, by transferring pretrained RGB CNN models and fine-tuning with the target RGB-D dataset. However, we show that this approach has the limitation of hardly reaching bottom layers, which is key to learn modality-specific features. In contrast, we focus on the bottom layers, and propose an alternative strategy to learn depth features combining local weakly supervised training from patches followed by global fine tuning with images. This strategy is capable of learning very discriminative depth-specific features with limited depth images, without resorting to Places-CNN. In addition we propose a modified CNN architecture to further match the complexity of the model and the amount of data available. For RGB-D scene recognition, depth and RGB features are combined by projecting them in a common space and further leaning a multilayer classifier, which is jointly optimized in an end-to-end network. Our framework achieves state-of-the-art accuracy on NYU2 and SUN RGB-D in both depth only and combined RGB-D data. |
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San Francisco CA; February 2017 |
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AAAI |
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LAMP; 600.120 |
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no |
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Admin @ si @ SHJ2017 |
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2967 |
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Author |
Xavier Roca; Jordi Vitria |
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Title |
Multiscale Structure Extraction using Morphological Tools. Applications to Edge Detection. |
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Conference Article |
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Year |
1993 |
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SPIE International Symposium on Optical Instrumentation and Applied Science (Conference on image Algebra and Morphological image Processing IV). |
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San Diego; CA; USA |
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OR;ISE;MV |
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BCNPCL @ bcnpcl @ RoV1993 |
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176 |
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Author |
Maria Vanrell; Jordi Vitria |
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Title |
Mathematical Morphology, Granulometries and Texture Perception. |
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Conference Article |
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1993 |
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SPIE International Symposium on Optical Instrumentation and Applied Science (Conference on image Algebra and Morphological image Processing IV). |
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San Diego; CA; USA |
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OR;CIC;MV |
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BCNPCL @ bcnpcl @ VaV1993 |
Serial |
178 |
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