pubs

Unveiling functions of the visual cortex using task-specific deep neural networks
K. Dwivedi, M. F. Bonner, R. M. Cichy, G. Roig
PLoS computational biology 17 (8), e1009267 (2021)
[pdf] [Project page (w. code & data)]

AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies
H. T. P. Thao, B.T. Balamurali, D. Herremans, G. Roig
International Conference on Pattern Recognition (ICPR) (2020)
[pdf] [code]

Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning
K. Dwivedi, J. Huang, R.M. Cichy, G. Roig
In Proc. of European Conference on Computer Vision (ECCV), 2020
[pdf] [code][video talk]

Multi-Source Open-Set Deep Adversarial Domain Adaptation
S. Rakshit, D. Tamboli, P.S. Meshram, B. Banerjee, G. Roig, S. Chaudhuri
In Proc. of European Conference on Computer Vision (ECCV), 2020
[pdf] [code]

Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models
S. Siddiqui, E. Sizikova, G. Roig, N.J. Majaj, D.G. Pelli
arXiv:2007.00083, 2020
[pdf]

Unraveling Representations in Scene-selective Brain Regions Using Scene Parsing Deep Neural Networks
K. Dwivedi, R.M. Cichy*, G. Roig*
Journal of Cognitive Neuroscience (2020)
(*jointly directed work) [pdf] (early access: https://doi.org/10.1162/jocn_a_01624)

Scale and translation-invariance for novel objects in human vision
Y. Han, G. Roig, G. Geiger, T. Poggio
Sci Rep 10, 1411 (2020)
[pdf] [article in MIT news]

LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
Q.H. Pham, M.A. Uy, B.S. Hua, D.T. Nguyen, G. Roig, S.K. Yeung
In Proc. of AAAI Conference on Artificial Intelligence, 2020
(Oral) [pdf] [code]

Regression-based Music Emotion Prediction Using Triplet Neural Networks
K.W. Cheuk, Y.J. Luo, B.T. Balamurali, G. Roig, D. Herremans
In Proc. of International Joint Conference on Neural Networks (IJCNN), 2020
[pdf] [code]

Predictive Coding Networks Meet Action Recognition
X. Huang, H. Mousavi, G. Roig
International Conference on Image Processing (ICIP), 2020
[pdf to arxiv version]

The Algonauts Project
R.M. Cichy, G. Roig, A. Oliva
Nature Machine Intelligence 1 (12), 613-613 (2019)
[pdf] [project page]

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence
R.M. Cichy, G. Roig, A. Andonian, K. Dwivedi, B. Lahner, A. Lascelles, Y. Mohsenzadeh, K. Ramakrishnan, A. Oliva
In Proc. of Conference on Cognitive Computational Neuroscience (CCN), 2019
[pdf] [project page] [journal version]

Explaining Scene-selective Visual Areas Using Task-specific Deep Neural Network Representations
K. Dwivedi, M. Bonner, G. Roig
In Proc. of Conference on Cognitive Computational Neuroscience (CCN), 2019
[pdf]

Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning
K. Dwivedi, G. Roig
In Proc. of Computer Vision and Pattern Recognition (CVPR), 2019
[pdf] [code]

Joint Semantic-Instance Segmentation of 3D Point Clouds Using Multi-Set Label Conditional Random Fields
Q.H. Pham, B.S. Hua, T. Nguyen, G. Roig, S.K. Yeung.
In Proc. of Computer Vision and Pattern Recognition (CVPR), 2019
(Oral) [pdf] [code] [project page]

Deep Anchored Convolutional Neural Networks
J. Huang, K. Dwivedi, G. Roig
In Proc. of Computer Vision and Pattern Recognition Workshops (CVPRW) , 2019
(Oral) [pdf]

Multimodal Deep Models for Predicting Affective Responses Evoked by Movies
H.T.P. Thao, D. Herremans, G. Roig
In Proc. of the IEEE International Conference on Computer Vision Workshops (ICCVW), 2019
(Oral, Best student paper award) [pdf] [code]

Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning
S. Rakshit, B. Banerjee, G. Roig, S. Chaudhuri
In Proc. of German Conference on Pattern Recognition (GCPR), 2019
[pdf]

Few-Shot Regression via Learned Basis Functions
Y. Loo, S.K. Lim, G. Roig, N.M. Cheung
ICLR 2019 Workshop LLD
[pdf]

Multiphase and Multivariable Linear Controllers that Account for the Joint Torques in Normal Human Walking
E.S. Altinkaynak, G. Roig, D.J. Braun
IEEE Transactions on Biomedical Engineering, 2019
[pdf]

Task-specific Vision Models Explain Task-specific Areas of Visual Cortex
K. Dwivedi, G. Roig
bioRxiv:402735, 2018
[pdf] [ccn version]

Navigational Affordance Cortical Responses Explained by Semantic Segmentation model
K. Dwivedi, G. Roig
In Proc. of European Conference on Computer Vision Workshops (ECCVW), 2018
Brain-Driven Computer Vision (BDCV), 2018
[pdf]

Latent Space Representation for Multi-Target Speaker Detection and Identification with a Sparse Dataset Using Triplet Neural Networks
K.W. Cheuk, B.T. Balamurali, G. Roig, D. Herremans
In Proc. of IEEE Workshop on Automatic Speech Recognition and Understanding, 2019
[pdf] [code]

DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
S.K. Lim, Y. Loo, N.T. Tran, N.M. Cheung, G, Roig, Y. Elovici
In Proc. of IEEE International Conference on Data Mining, 2018
[pdf]

Do Deep Neural Networks Suffer from Crowding?
A. Volokitin, G. Roig, T. Poggio
In Proc. of Neural Information Processing Systems (NIPS), 2017
[pdf] [code]

Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision
F. Chen, G. Roig, L. Isik, X. Boix, T. Poggio
In AAAI Spring Symposium Series, Science of Intelligence, 2017
[pdf] [code]

Is the Human Visual System Invariant to Translation and Scale?
Y. Han, G. Roig, G. Geiger, T. Poggio.
In AAAI Spring Symposium Series, Science of Intelligence, 2017
[pdf] [full journal version]

Herding Generalizes Diverse M-Best Solutions
E. Ozcan, G. Roig, O. Goksel, X. Boix
In arxiv:1611.04353, 2016
[pdf]

Learning to Predict Sequences of Human Visual Fixations
M. Jiang, X. Boix, G. Roig, J. Xu, L. Van Gool, and Q. Zhao
In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2016
[pdf]

Foveation-based Mechanisms Alleviate Adversarial Examples
Y. Luo, X. Boix, G. Roig, T. Poggio, Q. Zhao
CBMM memo 044, arXiv:1511.06292, 2015
[pdf]

SEEDS: Superpixels Extracted via Energy-Driven Sampling
M. Van den Bergh, X. Boix, G. Roig, L. Van Gool
In International Journal of Computer Vision (IJCV), 2015
[pdf] [OpenCV code] [project page]

Saliency Prediction with Active Semantic Segmentation
M. Jiang, X. Boix, J. Xu, G. Roig, L. Van Gool, Q. Zhao
In Proc. of British Machine Vision Conference (BMVC), 2015
[pdf]

Self-Adaptable Templates for Feature Coding
X. Boix*, G. Roig*, Salomon Diether, L. Van Gool
In Proc. of Neural Information Processing Systems (NIPS), 2014
(*equal contribution) [pdf]

Random Binary Mappings for Kernel Learning and Efficient SVM
G. Roig*, X. Boix*, L. Van Gool.
arXiv:1307.5161, 2014.
(*equal contribution) [pdf]

Comment on "Ensemble Projection for Semi-supervised Image Classification"
X. Boix, G. Roig, L. Van Gool
arXiv:1408.6963, 2014
[pdf]

Active MAP Inference in CRFs for Efficient Semantic Segmentation
G. Roig*, X. Boix*, R. de Nijs, S. Ramos, K. Kuehnlenz, L. Van Gool
In Proc. of International Conferenence on Computer Vision (ICCV), 2013
(Oral, *equal contribution) [pdf]

Online Video SEEDS for Temporal Window Objectness
M. Van den Bergh, G. Roig, X. Boix, S. Manen, L. Van Gool
In Proc. of International Conferenence on Computer Vision (ICCV), 2013
[pdf] [code] [project page]

Sparse Quantization for Patch Description
X. Boix, M. Gygli, G. Roig, L. Van Gool
In Proc. of Computer Vision and Pattern Recognition (CVPR), 2013
[pdf]

Nested Sparse Quantization for Efficient Feature Coding
X. Boix*, G. Roig*, L. Van Gool
In Proc. of European Conferenence on Computer Vision (ECCV), 2012
(*equal contribution) [pdf]

SEEDS: Superpixels Extracted via Energy-Driven Sampling
M. Van den Bergh, X. Boix, G. Roig, B. de Capitani, L. Van Gool
In Proc. of European Conferenence on Computer Vision (ECCV), 2012
[pdf] [OpenCV code] [project page] [journal version]

On-line Semantic Perception Using Uncertainty
R. de Nijs, S. Ramos, G. Roig, X. Boix, L. Van Gool, K. Kühnlenz
In Proc. of International Conference on Intelligent Robots and Systems (IROS), 2012
[pdf]

Robotic ADaptation to Humans Adapting to Robots: Overview of the FP7 project RADHAR
E. Demeester, E. Vander Poorten, A. Hüntemann, J. De Schutter, B. Lau, M. Kuderer, W. Burgard, A. Fossati, G. Roig, X. Boix, M. Ristin, L. Van Gool, et al.
In Proc. of 1st International Conference on Systems and Computer Science, 2012
[pdf]

Conditional Random Fields for Multi-Camera Object Detection
G. Roig*, X. Boix*, H. Ben Shitrit, P. Fua
In Proc. of International Conferenence on Computer Vision (ICCV), 2011
(*equal contribution) [pdf]

Hierarchical CRF with Product Label Spaces for Parts-based Models
G. Roig*, X. Boix*, F. De la Torre, J. Serrat, C. Vilella
In Proc. of Face and Gesture (FG) 2011
(Oral, *equal contribution). [pdf]

Optimal Feature Selection for Subspace Image Matching
G. Roig, X. Boix, F. De la Torre
In Proc. of International Conference on Computer Vision Workshops (ICCVW), 2009
[pdf]

ABSTRACTS IN CONFERENCES AND INTERNATIONAL WORKSHOPS

Unveiling functions of the visual cortex using task-specific deep neural networks
K. Dwivedi, M. F. Bonner, R. M. Cichy, G. Roig
Neuromatch Conference 2.0 , 2020
(Abstract + talk)

Explaining Scene-selective Visual Area Using Task-specific and Category Specific DNN Units
K. Dwivedi, M. Bonner, G. Roig
Vision Sciences Society Conference, 2019
(Abstract + poster)

Eccentricity Dependent Neural Network with Recurrent Attention for Scale, Translation and Clutter Invariance
J. Zhang, Y. Han, T. Poggio, G. Roig
Vision Sciences Society Conference, 2019
(Abstract + talk)

Properties of invariant object recognition in human one-shot learning suggests a hierarchical architecture different from deep convolutional neural networks
Y. Han, G. Roig, G. Geiger, T. Poggio
Vision Sciences Society, 2019
(Abstract + poster)

Importance of object selection in Relational Reasoning tasks
K. Dwivedi, G. Roig
Neural Information Processing Systems Workshops, 2018
Relation Representation Learning (R2L 2018)
(Abstract paper + poster)

Plug and Play DNN Modules for Multi-domain Learning
K. Dwivedi, G. Roig
European Conference on Computer Vision Workshops (ECCVW), 2018
Interactive and Adaptive Learning in an Open World (IAL 2018)
(Abstract paper + poster)

Do Deep Neural Networks Suffer from Crowding?
G. Roig, A. Volokitin, T. Poggio
Vision Science Society, 2018
(Abstract + talk)

Blacklisted speaker Identification Using Tripel Neural Networks
K.W. Cheuk, B.T. Balamurali, G. Roig, D. Herremans
In IEEE International Conference on Data Mining (ICDM), 2018
1st Multi-target speaker detection and identification Challenge Evaluation, 2018
(Abstract)

Eccentricity Dependent Deep Neural Networks for Modeling Human Vision
G. Roig, F. Chen, X. Boix and T. Poggio
Vision Sciences Society, 2017
(Abstract + poster)

On the Human Visual System Invariance to Translation and Scale
Y. Han, G. Roig, G. Gaiger and T. Poggio
Vision Sciences Society, 2017
(Abstract + poster)

Online Video SEEDS for Temporal Window Objectnes
M. Van den Bergh, G. Roig, X. Boix, S. Manen, L. Van Gool
In European Conference on Computer Vision Workshops (ECCVW), 2014
(Talk + poster)

Ensemble Kernel Learning
G. Roig*, X. Boix*, C. Leistner, L. Van Gool
In International Conferenence on Computer Vision Workshops (ICCVW), 2011
(Abstract + poster)

PUBLICATIONS

ABSTRACTS IN CONFERENCES AND INTERNATIONAL WORKSHOPS