Gemma Roig

According to our database, Gemma Roig authored at least 58 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization.

Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

LLM Multimodal Traffic Accident Forecasting.

Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate

Sensors, November, 2023

LLM Adaptive PID Control for B5G Truck Platooning Systems.

Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate

Sensors, July, 2023

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

Ha Thi Phuong Thao, Gemma Roig, Dorien Herremans

Inf. Fusion, 2023

The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes.

Alessandro T. Gifford, Benjamin Lahner, Sari Saba-Sadiya, Martina G. Vilas, Alex Lascelles, A. Oliva, K. Kay, Gemma Roig, Radoslaw Martin Cichy

CoRR, 2023

Analyzing Vision Transformers for Image Classification in Class Embedding Space.

Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play.

Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch

Proceedings of the IEEE International Conference on Development and Learning, 2023

Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study.

Tobias Ettling, Sari Saba-Sadiya, Gemma Roig

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Single Image Video Prediction with Auto-Regressive GANs.

Jiahui Huang, Yew Ken Chia, Samson Yu, Kevin Yee, Dennis Küster, Eva Krumhuber, Dorien Herremans, Gemma Roig

Sensors, 2022

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

Alessandro T. Gifford, Kshitij Dwivedi, Gemma Roig, Radoslaw Martin Cichy

NeuroImage, 2022

FRIDA - Generative feature replay for incremental domain adaptation.

Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri

Comput. Vis. Image Underst., 2022

Net2Brain: A Toolbox to compare artificial vision models with human brain responses.

Domenic Bersch, Kshitij Dwivedi, Martina G. Vilas, Radoslaw Martin Cichy, Gemma Roig

CoRR, 2022

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

Phoebe Chua, Dimos Makris, Dorien Herremans, Gemma Roig, Kat Agres

CoRR, 2022

Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI.

Dennis Vetter, Jesmin Jahan Tithi, Magnus Westerlund, Roberto V. Zicari, Gemma Roig

Proceedings of the Workshop on Imagining the AI Landscape after the AI Act (IAIL 2022) co-located with 1st International Conference on Hybrid Human-Artificial Intelligence (HHAI 2022), 2022

What do navigation agents learn about their environment?

Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Sajawel Ahmed, Rob van der Goot, Misbahur Rehman, Carl Kruse, Ömer Özsoy, Alexander Mehler, Gemma Roig

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

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

Ha Thi Phuong Thao, Balamurali B. T., Gemma Roig, Dorien Herremans

Sensors, 2021

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

Kshitij Dwivedi, Michael F. Bonner, Radoslaw Martin Cichy, Gemma Roig

PLoS Comput. Biol., 2021

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

Kshitij Dwivedi, Radoslaw Martin Cichy, Gemma Roig

J. Cogn. Neurosci., 2021

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

Radoslaw Martin Cichy, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, P. Iamshchinina, Monika Graumann, Alex Andonian, N. A. R. Murty, K. Kay, Gemma Roig, Aude Oliva

CoRR, 2021

2020

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

Evrim S. Altinkaynak, Gemma Roig, David J. Braun

IEEE Trans. Biomed. Eng., 2020

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

Sahar Siddiqui, Elena Sizikova, Gemma Roig, Najib J. Majaj, Denis G. Pelli

CoRR, 2020

Regression-based Music Emotion Prediction using Triplet Neural Networks.

Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Predictive Coding Networks Meet Action Recognition.

Xia Huang, Hossein Mousavi, Gemma Roig

Proceedings of the IEEE International Conference on Image Processing, 2020

Multi-source Open-Set Deep Adversarial Domain Adaptation.

Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri

Proceedings of the Computer Vision - ECCV 2020, 2020

Duality Diagram Similarity: A Generic Framework for Initialization Selection in Task Transfer Learning.

Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

The Algonauts Project.

Radoslaw Martin Cichy, Gemma Roig, Aude Oliva

Nat. Mach. Intell., 2019

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

Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva

CoRR, 2019

Multimodal Deep Models for Predicting Affective Responses Evoked by Movies.

Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

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

Sayan Rakshit, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri

Proceedings of the Pattern Recognition, 2019

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

Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Anchored Convolutional Neural Networks.

Jiahui Huang, Kshitij Dwivedi, Gemma Roig

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning.

Kshitij Dwivedi, Gemma Roig

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN.

Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici

Proceedings of the IEEE International Conference on Data Mining, 2018

Navigational Affordance Cortical Responses Explained by Scene-Parsing Model.

Kshitij Dwivedi, Gemma Roig

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Do Deep Neural Networks Suffer from Crowding?

Anna Volokitin, Gemma Roig, Tomaso A. Poggio

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Is the Human Visual System Invariant to Translation and Scale?

Yena Han, Gemma Roig, Gadi Geiger, Tomaso A. Poggio

Proceedings of the 2017 AAAI Spring Symposia, 2017

Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision.

Francis X. Chen, Gemma Roig, Leyla Isik, Xavier Boix, Tomaso A. Poggio

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Learning to Predict Sequences of Human Visual Fixations.

Ming Jiang, Xavier Boix, Gemma Roig, Juan Xu, Luc Van Gool, Qi Zhao

IEEE Trans. Neural Networks Learn. Syst., 2016

Herding Generalizes Diverse M -Best Solutions.

Ece Ozkan, Gemma Roig, Orcun Goksel, Xavier Boix

CoRR, 2016

2015

SEEDS: Superpixels Extracted Via Energy-Driven Sampling.

Michael Van den Bergh, Xavier Boix, Gemma Roig, Luc Van Gool

Int. J. Comput. Vis., 2015

Foveation-based Mechanisms Alleviate Adversarial Examples.

Yan Luo, Xavier Boix, Gemma Roig, Tomaso A. Poggio, Qi Zhao

CoRR, 2015

Saliency Prediction with Active Semantic Segmentation.

Ming Jiang, Xavier Boix, Juan Xu, Gemma Roig, Luc Van Gool, Qi Zhao

Proceedings of the British Machine Vision Conference 2015, 2015

2014

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

Xavier Boix, Gemma Roig, Luc Van Gool

CoRR, 2014

Self-Adaptable Templates for Feature Coding.

Xavier Boix, Gemma Roig, Salomon Diether, Luc Van Gool

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Random Binary Mappings for Kernel Learning and Efficient SVM.

Gemma Roig, Xavier Boix, Luc Van Gool

CoRR, 2013

Active MAP Inference in CRFs for Efficient Semantic Segmentation.

Gemma Roig, Xavier Boix, Roderick de Nijs, Sebastian Ramos, Kolja Kühnlenz, Luc Van Gool

Proceedings of the IEEE International Conference on Computer Vision, 2013

Online Video SEEDS for Temporal Window Objectness.

Michael Van den Bergh, Gemma Roig, Xavier Boix, Santiago Manen, Luc Van Gool

Proceedings of the IEEE International Conference on Computer Vision, 2013

Sparse Quantization for Patch Description.

Xavier Boix, Michael Gygli, Gemma Roig, Luc Van Gool

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

On-line semantic perception using uncertainty.

Roderick de Nijs, Sebastian Ramos, Gemma Roig, Xavier Boix, Luc Van Gool, Kolja Kühnlenz

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Nested Sparse Quantization for Efficient Feature Coding.

Xavier Boix, Gemma Roig, Christian Leistner, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2012, 2012

SEEDS: Superpixels Extracted via Energy-Driven Sampling.

Michael Van den Bergh, Xavier Boix, Gemma Roig, Benjamin de Capitani, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Conditional Random Fields for multi-camera object detection.

Gemma Roig, Xavier Boix, Horesh Ben Shitrit, Pascal Fua

Proceedings of the IEEE International Conference on Computer Vision, 2011

Hierarchical CRF with product label spaces for parts-based models.

Gemma Roig, Xavier Boix Bosch, Fernando De la Torre, Joan Serrat Gual, Carles Vilella

Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

2009

Optimal feature selection for subspace image matching.

Gemma Roig, Xavier Boix, Fernando De la Torre

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009