|
|
2017
|
|
Rezapour-Lakani
S, Rodríguez-Sánchez AJ, Piater
J. Can Affordances Guide
Object Decomposition Into
Semantically Meaningful Parts?.
IEEE Winter Conference on
Applications of Computer Vision
(WACV) 2017. Accepted
|
2016
|
Hoyoux T,
Rodríguez-Sánchez
AJ, Piater J. Can
Computer Vision Problems Benefit
from Structured Hierarchical
Classification?. Machine
Vision and Applications 1-14. May
2016.
Rodríguez-Sánchez
AJ, Oberleiter S,
Xiong H, Piater J. Learning
V4 curvature cell
populations from sparse
endstopped cells. 25th
International Conference on
Artificial Neural Networks
(ICANN) 2016. Barcelona
(Spain).
Stabinger
S, Rodríguez-Sánchez
AJ, Piater J.
25 years of
CNNs: Can we compare to
human abstraction
capabilities?. 25th
International Conference on
Artificial Neural Networks
(ICANN) 2016. Barcelona
(Spain).
Fontanella S,
Rodríguez-Sánchez AJ, Piater
J. Kronecker
decomposition for image
classification. Conference
and Labs of the Evaluation
Forum (CLEF) 2016. Evora
(Portugal).
Stabinger
S, Rodríguez-Sánchez
AJ, Piater J.
Monocular
Obstacle Avoidance for
Blind People using
Probabilistic Focus of
Expansion Estimation. IEEE
Winter Conference on
Applications of Computer
Vision (WACV) 2016. Lake
Placid (USA).
|
2015
|
|
Rodríguez-Sánchez
AJ, Fallah
M, Leonardis A. Hierarchical
object representations in the
visual cortex and computer
vision. Frontiers
in Computational Neuroscience 9
(142). Link
Xiong H,
Rodríguez-Sánchez
AJ, Szedmak S, Piater
H. Diversity priors
for learning early visual
feature. Frontiers
in Computational Neuroscience 9
(140). Link
Rodríguez-Sánchez
AJ, Szedmak S, Piater
J. SCurV: A 3D
Descriptor for Object
Classification. IEEE/RSJ
International Conference on
Intelligento Robot Systems (IROS)
2015. PDF
Stabinger S, Rodríguez-Sánchez
AJ, Piater J. Learning
Abstract Classes using Deep
Learning. Compational Model
of the Visual Cortex workshop,
BICT 2015. New York (USA).
Rodríguez-Sánchez
AJ, Fontanella S, Piater J,
Szedmak S. Image
representation through tensor
decomposition. Conference
and Labs of the Evaluation Forum
(CLEF) 2015. PDF
Hoyoux T,
Rodríguez-Sánchez AJ, Piater
J, Szedmak S. Can
Computer Vision problems benefit
from Structured Hierarchical
classification?. Computer
Analysis of Images and Patterns
(CAIP) 2015. PDF
Rezapour-Lakani
S, Popa M, Rodríguez-Sánchez
AJ, Piater J. CPS:
3D compositional part
segmentation through grasping. Computer
and Robot Vision (CRV) 2015. PDF
|
2014
|
|
Azzopardi, G,
Rodríguez-Sánchez, AJ,
Piater, J,
Petkov, N.
A
push-pull CORF model of a
simple cell with antiphase
inhibition improves SNR and
contour detection. PLOS
ONE 9 (7),
2014.
Link open access
Rodríguez-Sánchez
AJ, Neumann
H, Piater J. Beyond
Simple and Complex Neurons:
Towards Intermediate-level
Representations of Shapes
and Objects. Künstliche
Intelligenz, Springer,
Dec. 2014 issue, 1-11, early
access.
Rodríguez-Sánchez AJ, Piater
J. Models of the
Visual Cortex for Object
Representation: Learning and
Wired Approaches. In: Lucio
Grandinetti, Thomas Lippert, Nicolai Petkov (editors),
Brain-Inspired Computing,
pp. 51–62, 2014 (BrainComp).
Springer Lecture Notes in
Computer Science 8603. Link
Rezapour-Lakani S, Popa
M, Antonio
J. Rodríguez-Sánchez
AJ, Piater
J. Scale-Invariant. Unsupervised
Part Decomposition of 3D
Objects. Parts
and Attributes, 2014 (Workshop
at ECCV). PDF
Azzopardi, G,
Rodríguez-Sánchez, AJ,
Piater, P,
Petkov, N.
A
computational model of
push-pull inhibition of simple
cells with application to
contour detection.
37th European Conference on
Visual Perception, 2014.
Xiong, H,
Szedmak, S,
Rodríguez-Sánchez, AJ,
Piater, J.
Towards
Sparsity and Selectivity:
Bayesian Learning of
Restricted Boltzmann Machine
for Early Visual Features.
24th International Conference on
Artificial Neural Networks,
2014,
to appear. Springer Lecture Notes
in Computer Science.
PDF
|
2013
|
|
Krüger, N, Janssen, P, Kalkan, S,
Lappe, M, Leonardis, A, Piater, J,
Rodríguez-Sánchez, AJ, Wiskott, L.
Deep Hierarchies in the
Primate Visual Cortex: What Can
We Learn For Computer Vision?.
IEEE Transactions on Pattern
Analysis and Machine Intelligence,
35(8), 1847-1871, 2013. PDF
Antonio Rodríguez-Sánchez, AJ,
Dudek, G, Tsotsos, JK. Detecting,
Representing and Attending to
Visual Shape. In: Sven
Dickinson, Zygmunt Pizlo
(editors), Shape Perception in
Human and Computer Vision: An
Interdisciplinary Perspective,
2013. Springer Advances in
Computer Vision and Pattern
Recognition. PDF
Justus Piater, Antonio Rodríguez
Sánchez (editors), Proceedings
of the 37th Annual Workshop of
the Austrian Association for
Pattern Recognition
(ÖAGM/AAPR), 2013. Link
|
2012
|
| Rodríguez-Sánchez,
AJ, Tsotsos, JK. The roles
of endstopped and curvature tuned
computations in a hierarchical
representation of 2D shape.
PLoS ONE 7 (8), pp. 1–13, 2012. Link open access |
2011
|
| Rodríguez-Sánchez,
AJ, Tsotsos, JK. The
importance of intermediate
representations for the modeling
of 2D shape detection: Endstopping
and curvature tuned computations.
Proc. IEEE Computer Vision and
Pattern Recognition, 4321-4326. PDF |
2010
|
| Rodríguez-Sánchez,
AJ. Intermediate Visual
Representations for Attentive
Recognition Systems. PhD
Thesis, York University Technical
report CSE-2010-06. September 2010.
PDF |
2009
|
| Rodríguez-Sánchez, AJ,
Tsotsos, J.K., Treue, S., Martinez-Trujillo,
J.C., Comparing neuronal and
behavioral thresholds for spiral motion
discrimination, Neuroreport
20(18): 1613-1618, December 2009. |
2008
|
|
Tsotsos, J.K., Rodríguez-Sánchez, A.,
Rothenstein, A., Simine, E., Different
Binding Strategies for the Different Stages of
Visual Recognition, Brain Research ,
Available online 23 May 2008. PDF
Rothenstein, A., Rodríguez-Sánchez, A., Simine,
E., Tsotsos, J.K., Visual Feature Binding
within the Selective Tuning Attention Framework,
Int. J. Pattern Recognition and Artificial
Intelligence - Special Issue on Brain, Vision and
Artificial Intelligence, 22(5), 2008 p. 861-881.
|
2007
|
|
Rodríguez-Sánchez AJ, Simine E, Tsotsos JK. Attention
and Visual Search, International
Journal of Neural Systems, Vol. 17, No. 4, August
2007. PDF.
Tsotsos JK, Rodríguez-Sánchez AJ, Rothenstein A,
Simine E. Different Binding Strategies
for the Different Stages of Visual Recognition.
Brain, Vision and Artificial Intelligence 2007,
Naples, Italy. PDF
Simine E, Rodríguez-Sánchez AJ, Tsotsos JK. Visual
Search vith Selective Tuning. Vision
Sciences Society 2007, Sarasota (USA)
Tsotsos JK, Rodríguez-Sánchez AJ, Rothenstein A,
Simine E. The Different Stages of Visual
Recognition Requieres Different Binding
Strategies. Center for Vision Research
2007, Toronto (Canada).
|
2006
|
| Rodríguez-Sánchez AJ, Simine E,
Tsotsos JK. Feature Conjunctions in Serial
Visual Search. International Conference
on Artificial Neural Networks, 10-14 September 2006,
Athens (Greece). PDF |
2005
|
|
Rodríguez-Sánchez AJ, Tsotsos JK. A
System for Biologically Plausible Object
Recognition. IS 2005, 16th Annual
Canadian Conference on Intelligent Systems, Quebec
(Canada).
|
2004
|
|
Rodríguez-Sánchez AJ, Tsotsos JK,
Martinez-Trujillo JC. Velocity gradient
information influences optical flow processing
in human observers. Vision Sciences
Society 2004, Sarasota (USA).
Rodríguez-Sánchez AJ, Tsotsos JK,
Martinez-Trujillo JC. (2004). Velocity
gradient information influences optical flow
processing in human observers
[Abstract]. Journal of Vision, 4(8), 606a,
http://journalofvision.org/4/8/606/,
doi:10.1167/4.8.606. PDF.
Rodríguez-Sánchez AJ, Tsotsos JK. Attention,
Visual Search and Object Recognition.
Technical Report. York University. PDF.
|
2003
|
|
Rodríguez-Sánchez AJ, Cheyne DO, Tsotsos JK,
Martinez-Trujillo JC. Speed gradient
information influences optical flow processing
in human observers. Society for
Neuroscience 2003, Saint Louis (USA). PDF
Rodríguez-Sánchez AJ, John K. Tsotsos JK,
Martínez-Trujillo JC. Speed gradients
improve human ability to discriminate among
optical flow stimuli. Center for Vision
Research 2003, Toronto (Canada). |
2002
|
| Pascual-Montano AD, Sesto A,
Rodríguez-Sánchez AJ, Navarro M, Jorcano JL, Carazo
JM. Density Estimator Self-Organizing Map
for Gene Expression Analysis. ISMB 2002 |
|
