Gemma Roig

发表

Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning

Kshitij Dwivedi, Gemma Roig, G. Roig, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Predictive Coding Networks Meet Action Recognition

Gemma Roig, Hossein Mousavi, Xia Huang, 2019, 2020 IEEE International Conference on Image Processing (ICIP).

Saliency Prediction with Active Semantic Segmentation

Luc Van Gool, Qi Zhao, Juan Xu, 2015, BMVC.

Navigational Affordance Cortical Responses Explained by Scene-Parsing Model

Kshitij Dwivedi, Gemma Roig, 2018, ECCV Workshops.

Is the Human Visual System Invariant to Translation and Scale?

Tomaso A. Poggio, Gemma Roig, Yena Han, 2017, AAAI Spring Symposia.

JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields

Duc Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

SEEDS: Superpixels Extracted Via Energy-Driven Sampling

Luc Van Gool, Gemma Roig, Xavier Boix, 2012, International Journal of Computer Vision.

Eccentricity Dependent Neural Network with Recurrent Attention for Scale, Translation and Clutter Invariance

Gemma Roig, Yena Han, Jiaxuan Zhang, 2019 .

Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning

Subhasis Chaudhuri, Biplab Banerjee, Gemma Roig, 2019, GCPR.

Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning pdf

Kshitij Dwivedi, Gemma Roig, Radoslaw Martin Cichy, 2020, ECCV.

Comment on "Ensemble Projection for Semi-supervised Image Classification" pdf

Luc Van Gool, Gemma Roig, Xavier Boix, 2014, ArXiv.

The Algonauts Project

Aude Oliva, Gemma Roig, Radoslaw Martin Cichy, 2019 .

Nested Sparse Quantization for Efficient Feature Coding

Luc Van Gool, Gemma Roig, Christian Leistner, 2012, ECCV.

Explaining Scene-selective Visual Areas Using Task-specific Deep Neural Network Representations

Kshitij Dwivedi, Gemma Roig, Michael F Bonner, 2019 .

Herding Generalizes Diverse M -Best Solutions pdf

Orcun Goksel, Ece Ozkan, Gemma Roig, 2016, ArXiv.

Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models pdf

Denis G. Pelli, Gemma Roig, Elena Sizikova, 2020, ArXiv.

Conditional Random Fields for multi-camera object detection

Pascal Fua, Gemma Roig, Xavier Boix, 2011, 2011 International Conference on Computer Vision.

Regression-based Music Emotion Prediction using Triplet Neural Networks

Dorien Herremans, Gemma Roig, Kin Wai Cheuk, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Random Binary Mappings for Kernel Learning and Efficient SVM pdf

Luc Van Gool, Gemma Roig, Xavier Boix, 2013, 1307.5161.

Latent Space Representation for Multi-Target Speaker Detection and Identification with a Sparse Dataset Using Triplet Neural Networks

Dorien Herremans, Gemma Roig, Kin Wai Cheuk, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

SEEDS: Superpixels Extracted via Energy-Driven Sampling

Luc Van Gool, Gemma Roig, Xavier Boix, 2012, ECCV.

Optimal feature selection for subspace image matching

Fernando De la Torre, Gemma Roig, Xavier Boix, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies pdf

Dorien Herremans, Gemma Roig, Ha Thi Phuong Thao, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Deep Anchored Convolutional Neural Networks

Kshitij Dwivedi, Gemma Roig, Jiahui Huang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence pdf

Yalda Mohsenzadeh, Aude Oliva, Kshitij Dwivedi, 2019, 2019 Conference on Cognitive Computational Neuroscience.

Active MAP Inference in CRFs for Efficient Semantic Segmentation

Luc Van Gool, Sebastian Ramos, Kolja Kühnlenz, 2013, 2013 IEEE International Conference on Computer Vision.

On-line semantic perception using uncertainty

Luc Van Gool, Sebastian Ramos, Kolja Kühnlenz, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Self-Adaptable Templates for Feature Coding

Luc Van Gool, Gemma Roig, Xavier Boix, 2014, NIPS.

Scale and translation-invariance for novel objects in human vision

Gemma Roig, Tomaso Poggio, Yena Han, 2020, Scientific Reports.

Robotic ADaptation to Humans Adapting to Robots: Overview of the FP7 project RADHAR

Wolfram Burgard, Luc Van Gool, Andrea Fossati, 2012 .

Learning to Predict Sequences of Human Visual Fixations

Luc Van Gool, Qi Zhao, Juan Xu, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Do Deep Neural Networks Suffer from Crowding?

Tomaso A. Poggio, Gemma Roig, Anna Volokitin, 2017, NIPS.

Task-specific vision models explain task-specific areas of visual cortex

Kshitij Dwivedi, Gemma Roig, 2018 .

Online Video SEEDS for Temporal Window Objectness

Santiago Manen, Luc Van Gool, Gemma Roig, 2013, 2013 IEEE International Conference on Computer Vision.

Foveation-based Mechanisms Alleviate Adversarial Examples pdf

Qi Zhao, Yan Luo, Tomaso A. Poggio, 2015, ArXiv.

Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision

Tomaso A. Poggio, Gemma Roig, Leyla Isik, 2017, AAAI Spring Symposia.

Multiphase and Multivariable Linear Controllers That Account for the Joint Torques in Normal Human Walking

Gemma Roig, David J Braun, Evrim S. Altinkaynak, 2020, IEEE Transactions on Biomedical Engineering.

LCD: Learned Cross-Domain Descriptors for 2D-3D Matching pdf

Duc Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, 2019, AAAI.

Hierarchical CRF with product label spaces for parts-based models

Fernando De la Torre, Gemma Roig, Xavier Boix, 2011, Face and Gesture 2011.

Sparse Quantization for Patch Description

Luc Van Gool, Gemma Roig, Michael Gygli, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN

Yuval Elovici, Ngai-Man Cheung, Gemma Roig, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Multimodal Deep Models for Predicting Affective Responses Evoked by Movies

Dorien Herremans, Gemma Roig, Ha Thi Phuong Thao, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Unraveling Representations in Scene-selective Brain Regions Using Scene-Parsing Deep Neural Networks

Kshitij Dwivedi, Gemma Roig, Radoslaw Martin Cichy, 2020, Journal of Cognitive Neuroscience.

FRIDA - Generative Feature Replay for Incremental Domain Adaptation pdf

Subhasis Chaudhuri, Biplab Banerjee, Gemma Roig, 2021, Comput. Vis. Image Underst..