Optimal feature selection for subspace image matching. - Gemma Roig; Xavier Boix; Fernando De la Torre (ICCV Workshops, 2009)

Hierarchical CRF with product label spaces for parts-based models. - Gemma Roig; Xavier Boix Bosch; Fernando De la Torre; Joan Serrat Gual; Carles Vilella (FG, 2011)

Conditional Random Fields for multi-camera object detection. - Gemma Roig; Xavier Boix; Horesh Ben Shitrit; Pascal Fua (ICCV, 2011)

SEEDS: Superpixels Extracted via Energy-Driven Sampling. - Michael Van den Bergh; Xavier Boix; Gemma Roig; Benjamin de Capitani; Luc Van Gool (ECCV (7), 2012)

Nested Sparse Quantization for Efficient Feature Coding. - Xavier Boix; Gemma Roig; Christian Leistner; Luc Van Gool (ECCV (2), 2012)

On-line semantic perception using uncertainty. - Roderick de Nijs; Sebastian Ramos; Gemma Roig; Xavier Boix; Luc Van Gool; Kolja Kühnlenz (IROS, 2012)

Sparse Quantization for Patch Description. - Xavier Boix; Michael Gygli; Gemma Roig; Luc Van Gool (CVPR, 2013)

Online Video SEEDS for Temporal Window Objectness. - Michael Van den Bergh; Gemma Roig; Xavier Boix; Santiago Manen; Luc Van Gool (ICCV, 2013)

Active MAP Inference in CRFs for Efficient Semantic Segmentation. - Gemma Roig; Xavier Boix; Roderick de Nijs; Sebastian Ramos; Kolja Kühnlenz; Luc Van Gool (ICCV, 2013)

Random Binary Mappings for Kernel Learning and Efficient SVM. - Gemma Roig; Xavier Boix; Luc Van Gool (CoRR, 2013)

Self-Adaptable Templates for Feature Coding. - Xavier Boix; Gemma Roig; Salomon Diether; Luc Van Gool (NIPS, 2014)

Comment on "Ensemble Projection for Semi-supervised Image Classification". - Xavier Boix; Gemma Roig; Luc Van Gool (CoRR, 2014)

Saliency Prediction with Active Semantic Segmentation. - Ming Jiang 019; Xavier Boix; Juan Xu; Gemma Roig; Luc Van Gool; Qi Zhao 001 (BMVC, 2015)

Foveation-based Mechanisms Alleviate Adversarial Examples. - Yan Luo 002; Xavier Boix; Gemma Roig; Tomaso A. Poggio; Qi Zhao 001 (CoRR, 2015)

SEEDS: Superpixels Extracted Via Energy-Driven Sampling. - Michael Van den Bergh; Xavier Boix; Gemma Roig; Luc Van Gool (Int. J. Comput. Vis., 2015)

Herding Generalizes Diverse M -Best Solutions. - Ece Ozkan; Gemma Roig; Orcun Goksel; Xavier Boix (CoRR, 2016)

Learning to Predict Sequences of Human Visual Fixations. - Ming Jiang 019; Xavier Boix; Gemma Roig; Juan Xu; Luc Van Gool; Qi Zhao 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision. - Francis X. Chen; Gemma Roig; Leyla Isik; Xavier Boix; Tomaso A. Poggio (AAAI Spring Symposia, 2017)

Is the Human Visual System Invariant to Translation and Scale? - Yena Han; Gemma Roig; Gadi Geiger; Tomaso A. Poggio (AAAI Spring Symposia, 2017)

Do Deep Neural Networks Suffer from Crowding? - Anna Volokitin; Gemma Roig; Tomaso A. Poggio (NIPS, 2017)

Navigational Affordance Cortical Responses Explained by Scene-Parsing Model. - Kshitij Dwivedi; Gemma Roig (ECCV Workshops (3), 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 (ICDM, 2018)

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 (ASRU, 2019)

Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning. - Kshitij Dwivedi; Gemma Roig (CVPR, 2019)

Deep Anchored Convolutional Neural Networks. - Jiahui Huang; Kshitij Dwivedi; Gemma Roig (CVPR Workshops, 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 (CVPR, 2019)

Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning. - Sayan Rakshit; Biplab Banerjee; Gemma Roig; Subhasis Chaudhuri (GCPR, 2019)

Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. - Ha Thi Phuong Thao; Dorien Herremans; Gemma Roig (ICCV Workshops, 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)

The Algonauts Project. - Radoslaw Martin Cichy; Gemma Roig; Aude Oliva (Nat. Mach. Intell., 2019)

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 (AAAI, 2020)

Duality Diagram Similarity: A Generic Framework for Initialization Selection in Task Transfer Learning. - Kshitij Dwivedi; Jiahui Huang; Radoslaw Martin Cichy; Gemma Roig (ECCV (26), 2020)

Multi-source Open-Set Deep Adversarial Domain Adaptation. - Sayan Rakshit; Dipesh Tamboli; Pragati Shuddhodhan Meshram; Biplab Banerjee; Gemma Roig; Subhasis Chaudhuri (ECCV (26), 2020)

Predictive Coding Networks Meet Action Recognition. - Xia Huang; Hossein Mousavi; Gemma Roig (ICIP, 2020)

AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. - Ha Thi Phuong Thao; Balamurali B. T.; Dorien Herremans; Gemma Roig (ICPR, 2020)

Regression-based Music Emotion Prediction using Triplet Neural Networks. - Kin Wai Cheuk; Yin-Jyun Luo; Balamurali B. T.; Gemma Roig; Dorien Herremans (IJCNN, 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)

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)

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)

Unraveling Representations in Scene-selective Brain Regions Using Scene-Parsing Deep Neural Networks. - Kshitij Dwivedi; Radoslaw Martin Cichy; Gemma Roig (J. Cogn. Neurosci., 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)

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)

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 (COLING, 2022)

What do navigation agents learn about their environment? - Kshitij Dwivedi; Gemma Roig; Aniruddha Kembhavi; Roozbeh Mottaghi (CVPR, 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 (IAIL@HHAI, 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)

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)

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)

A large and rich EEG dataset for modeling human visual object recognition. - Alessandro T. Gifford; Kshitij Dwivedi; Gemma Roig; Radoslaw Martin Cichy (NeuroImage, 2022)

Single Image Video Prediction with Auto-Regressive GANs. - Jiahui Huang; Yew Ken Chia; Samson Yu 001; Kevin Yee; Dennis Küster; Eva Krumhuber; Dorien Herremans; Gemma Roig (Sensors, 2022)

Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study. - Tobias Ettling; Sari Saba-Sadiya; Gemma Roig (BIBM, 2023)

Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. - Timothy Schaumlöffel; Arthur Aubret; Gemma Roig; Jochen Triesch (ICDL, 2023)

Analyzing Vision Transformers for Image Classification in Class Embedding Space. - Martina G. Vilas; Timothy Schaumlöffel; Gemma Roig (NeurIPS, 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; Aude Oliva; K. Kay; Gemma Roig; Radoslaw Martin Cichy (CoRR, 2023)

EmoMV: Affective music-video correspondence learning datasets for classification and retrieval. - Ha Thi Phuong Thao; Gemma Roig; Dorien Herremans (Inf. Fusion, 2023)

LLM Adaptive PID Control for B5G Truck Platooning Systems. - Irene de Zarzà; Joachim de Curtò; Gemma Roig; Carlos T. Calafate (Sensors, 2023)

LLM Multimodal Traffic Accident Forecasting. - Irene de Zarzà; Joachim de Curtò; Gemma Roig; Carlos T. Calafate (Sensors, 2023)

Limited but Consistent Gains in Adversarial Robustness by Co-training Object Recognition Models with Human EEG. - Manshan Guo; Bhavin Choksi; Sari Sadiya; Alessandro T. Gifford; Martina G. Vilas; Radoslaw Martin Cichy; Gemma Roig (ECCV Workshops (14), 2024)

Learning Object Semantic Similarity with Self-Supervision. - Arthur Aubret; Timothy Schaumlöffel; Gemma Roig; Jochen Triesch (ICDL, 2024)

Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. - Martina G. Vilas; Federico Adolfi; David Poeppel; Gemma Roig (ICML, 2024)

Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. - Prathmesh Bele; Valay Bundele; Avigyan Bhattacharya; Ankit Jha; Gemma Roig; Biplab Banerjee (WACV, 2024)

Position Paper: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. - Martina G. Vilas; Federico Adolfi; David Poeppel; Gemma Roig (CoRR, 2024)

Classification of freshwater snails of the genus Radomaniola with multimodal triplet networks. - Dennis Vetter; Muhammad Ahsan; Diana Delicado; Thomas A. Neubauer; Thomas Wilke; Gemma Roig (CoRR, 2024)

Fairness Through Controlled (Un)Awareness in Node Embeddings. - Dennis Vetter; Jasper Forth; Gemma Roig; Holger Dell (CoRR, 2024)

Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks. - Mahadev Prasad Panda; Matteo Tiezzi; Martina G. Vilas; Gemma Roig; Bjoern M. Eskofier; Dario Zanca (CoRR, 2024)

Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG. - Manshan Guo; Bhavin Choksi; Sari Saba-Sadiya; Alessandro T. Gifford; Martina G. Vilas; Radoslaw Martin Cichy; Gemma Roig (CoRR, 2024)

UIDAPLE: Unsupervised Incremental Domain Adaptation through Adaptive Prompt Learning. - Samrat Mukherjee; Tanuj Sur; Saurish Seksaria; Subhasis Chaudhuri; Gemma Roig; Biplab Banerjee (ICASSP, 2025)

BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation. - Diego Garcia Cerdas; Christina Sartzetaki; Magnus Petersen; Gemma Roig; Pascal Mettes; Iris I. A. Groen (ICLR, 2025)

One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment. - Christina Sartzetaki; Gemma Roig; Cees G. M. Snoek; Iris I. A. Groen (ICLR, 2025)

Beyond Data Augmentations: Generalization Abilities of Few-Shot Segmentation Models. - Muhammad Ahsan; Guy Ben-Yosef; Gemma Roig (VISIGRAPP (2): VISAPP, 2025)

On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process. - Gereziher Adhane; Mohammad Mahdi Dehshibi; Dennis Vetter; David Masip; Gemma Roig (WACV, 2025)

Net2Brain: a toolbox to compare artificial vision models with human brain responses. - Domenic Bersch; Martina G. Vilas; Sari Saba-Sadiya; Timothy Schaumlöffel; Kshitij Dwivedi; Christina Sartzetaki; Radoslaw Martin Cichy; Gemma Roig (Frontiers Neuroinformatics, 2025)

Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers. - Lukas Kuhn; Sari Sadiya; Jörg Schlötterer; Christin Seifert; Gemma Roig (CoRR, 2025)

Human Gaze Boosts Object-Centered Representation Learning. - Timothy Schaumlöffel; Arthur Aubret; Gemma Roig; Jochen Triesch (CoRR, 2025)

Cognitive Neural Architecture Search Reveals Hierarchical Entailment. - Lukas Kuhn; Sari Saba-Sadiya; Gemma Roig (CoRR, 2025)

The Representational Alignment between Humans and Language Models is implicitly driven by a Concreteness Effect. - Cosimo Iaia; Bhavin Choksi; Emily Wiebers; Gemma Roig; Christian J. Fiebach (CoRR, 2025)