G. Roig

发表

SEEDS: Superpixels Extracted Via Energy-Driven Sampling

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

Unveiling functions of the visual cortex using task-specific deep neural networks

Radoslaw Martin Cichy, Michael F. Bonner, G. Roig, 2021, PLoS computational biology.

AttendAffectNet–Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention

Ha Thi Phuong Thao, G. Roig, Dorien Herremans, 2021, Sensors.

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

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

Unveiling functions of the visual cortex using task-specific deep neural networks

Michael F. Bonner, G. Roig, Kshitij Dwivedi, 2020 .

spatial-pool 3 conv 4 spatial-pool 4 Receptive Fields in the Brain

T. Poggio, X. Boix, Leyla Isik, 2017 .

Is the Human Visual System Invariant to Translation and Scale?

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

JSIS 3 D : Joint Semantic-Instance Segmentation of 3 D Point Clouds with MultiTask Pointwise Networks and Multi-Value Conditional Random Fields

S. Yeung, G. Roig, D. Nguyen, 2019 .

Single Image Video Prediction with Auto-Regressive GANs

Yew Ken Chia, Eva G. Krumhuber, G. Roig, 2022, Sensors.

What do navigation agents learn about their environment?

Aniruddha Kembhavi, G. Roig, Kshitij Dwivedi, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Superpixels Extracted via Energy-Driven Sampling

L. Gool, X. Boix, M. Bergh, 2012 .

EmoMV: Affective music-video correspondence learning datasets for classification and retrieval

Ha Thi Phuong Thao, G. Roig, Dorien Herremans, 2022, Inf. Fusion.

Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature

G. Roig, Alexander Mehler, Sajawel Ahmed, 2022, COLING.

Few-Shot Regression via Learned Basis Functions

Swee Kiat Lim, Ngai-Man Cheung, G. Roig, 2019 .

Nested Sparse Quantization for Efficient Feature Coding

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

The spatiotemporal neural dynamics of object location representations in the human brain

G. Roig, Kshitij Dwivedi, R. Cichy, 2022, Nature Human Behaviour.

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).

Sparse Quantization for Patch Description

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

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.

A large and rich EEG dataset for modeling human visual object recognition

Radoslaw Martin Cichy, G. Roig, Kshitij Dwivedi, 2022, NeuroImage.

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).

Scale and translation-invariance for novel objects in human vision

T. Poggio, G. Geiger, G. Roig, 2020, Scientific Reports.

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).

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

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

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

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

Conditional Random Fields for multi-camera object detection

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

Signature and Log-Signature for the Study of Empirical Distributions Generated with GANs

G. Roig, C. Calafate, I. de Zarzà, 2023, Electronics.

Summarization of Videos with the Signature Transform

G. Roig, C. Calafate, I. de Zarzà, 2023, Electronics.

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).

Unveiling functions of the visual cortex using task-specific deep neural networks

Michael F. Bonner, Michael F. Bonner, Radoslaw Martin Cichy, 2020, bioRxiv.

Online Video SEEDS for Temporal Window Objectness

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

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.

Predictive Coding Networks Meet Action Recognition

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

Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses

Singapore University of Technology, Phoebe K. Chua, Design, 2022, ArXiv.

Learning to Predict Sequences of Human Visual Fixations

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

Multi-source Open-Set Deep Adversarial Domain Adaptation

Subhasis Chaudhuri, Biplab Banerjee, Sayan Rakshit, 2020, ECCV.

The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion pdf

Radoslaw Martin Cichy, R. M. Cichy, K. Dwivedi, 2021, ArXiv.

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.

Foveation-based Mechanisms Alleviate Adversarial Examples pdf

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

Do Deep Neural Networks Suffer from Crowding?

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

Self-Adaptable Templates for Feature Coding

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

FRIDA - Generative Feature Replay for Incremental Domain Adaptation pdf

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

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).

Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision

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

LLM Adaptive PID Control for B5G Truck Platooning Systems

G. Roig, C. Calafate, I. D. Zarzà, 2023, Sensors.

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

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

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

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

Active MAP Inference in CRFs for Efficient Semantic Segmentation

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

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

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

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).

Random Binary Mappings for Kernel Learning and Efficient SVM pdf

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

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

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