Gemma Roig

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 69

Top Topics

Top Venues

Publications

Martina G. Vilas, Federico Adolfi, David Poeppel, Gemma Roig
Position Paper: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. CoRR (2024)
Dennis Vetter, Muhammad Ahsan, Diana Delicado, Thomas A. Neubauer, Thomas Wilke, Gemma Roig
Classification of freshwater snails of the genus Radomaniola with multimodal triplet networks. CoRR (2024)
Dennis Vetter, Jasper Forth, Gemma Roig, Holger Dell
Fairness Through Controlled (Un)Awareness in Node Embeddings. CoRR (2024)
Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. WACV (2024)
Tobias Ettling, Sari Saba-Sadiya, Gemma Roig
Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study. CoRR (2024)
Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen Triesch
Learning Object Semantic Similarity with Self-Supervision. CoRR (2024)
Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate
LLM Adaptive PID Control for B5G Truck Platooning Systems. Sensors 23 (13) (2023)
Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. CoRR (2023)
Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate
LLM Multimodal Traffic Accident Forecasting. Sensors 23 (22) (2023)
Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. CoRR (2023)
Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig
Analyzing Vision Transformers for Image Classification in Class Embedding Space. NeurIPS (2023)
Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. ICDL (2023)
Alessandro T. Gifford, Benjamin Lahner, Sari Saba-Sadiya, Martina G. Vilas, Alex Lascelles, A. Oliva, K. Kay, Gemma Roig, Radoslaw Martin Cichy
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes. CoRR (2023)
Tobias Ettling, Sari Saba-Sadiya, Gemma Roig
Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study. BIBM (2023)
Ha Thi Phuong Thao, Gemma Roig, Dorien Herremans
EmoMV: Affective music-video correspondence learning datasets for classification and retrieval. Inf. Fusion 91 (2023)
Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig
Analyzing Vision Transformers for Image Classification in Class Embedding Space. CoRR (2023)
Jiahui Huang, Yew Ken Chia, Samson Yu, Kevin Yee, Dennis Küster, Eva Krumhuber, Dorien Herremans, Gemma Roig
Single Image Video Prediction with Auto-Regressive GANs. Sensors 22 (9) (2022)
Dennis Vetter, Jesmin Jahan Tithi, Magnus Westerlund, Roberto V. Zicari, Gemma Roig
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI. CoRR (2022)
Sajawel Ahmed, Rob van der Goot, Misbahur Rehman, Carl Kruse, Ömer Özsoy, Alexander Mehler, Gemma Roig
Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature. COLING (2022)
Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
FRIDA - Generative feature replay for incremental domain adaptation. Comput. Vis. Image Underst. 217 (2022)
Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi
What do navigation agents learn about their environment? CVPR (2022)
Dennis Vetter, Jesmin Jahan Tithi, Magnus Westerlund, Roberto V. Zicari, Gemma Roig
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI. IAIL@HHAI (2022)
Domenic Bersch, Kshitij Dwivedi, Martina G. Vilas, Radoslaw Martin Cichy, Gemma Roig
Net2Brain: A Toolbox to compare artificial vision models with human brain responses. CoRR (2022)
Phoebe Chua, Dimos Makris, Dorien Herremans, Gemma Roig, Kat Agres
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses. CoRR (2022)
Alessandro T. Gifford, Kshitij Dwivedi, Gemma Roig, Radoslaw Martin Cichy
A large and rich EEG dataset for modeling human visual object recognition. NeuroImage 264 (2022)
Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi
What do navigation agents learn about their environment? CoRR (2022)
Kshitij Dwivedi, Michael F. Bonner, Radoslaw Martin Cichy, Gemma Roig
Unveiling functions of the visual cortex using task-specific deep neural networks. PLoS Comput. Biol. 17 (8) (2021)
Kshitij Dwivedi, Radoslaw Martin Cichy, Gemma Roig
Unraveling Representations in Scene-selective Brain Regions Using Scene-Parsing Deep Neural Networks. J. Cogn. Neurosci. 33 (10) (2021)
Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
FRIDA - Generative Feature Replay for Incremental Domain Adaptation. CoRR (2021)
Radoslaw Martin Cichy, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, P. Iamshchinina, M. Graumann, Alex Andonian, N. A. R. Murty, K. Kay, Gemma Roig, Aude Oliva
The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion. CoRR (2021)
Ha Thi Phuong Thao, Balamurali B. T., Gemma Roig, Dorien Herremans
AttendAffectNet-Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention. Sensors 21 (24) (2021)
Sahar Siddiqui, Elena Sizikova, Gemma Roig, Najib J. Majaj, Denis G. Pelli
Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models. CoRR (2020)
Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning. CoRR (2020)
Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
Multi-source Open-Set Deep Adversarial Domain Adaptation. ECCV (26) (2020)
Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. CoRR (2020)
Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans
Regression-based Music Emotion Prediction using Triplet Neural Networks. IJCNN (2020)
Evrim S. Altinkaynak, Gemma Roig, David J. Braun
Multiphase and Multivariable Linear Controllers That Account for the Joint Torques in Normal Human Walking. IEEE Trans. Biomed. Eng. 67 (6) (2020)
Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. ICPR (2020)
Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. AAAI (2020)
Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans
Regression-based music emotion prediction using triplet neural networks. CoRR (2020)
Xia Huang, Hossein Mousavi, Gemma Roig
Predictive Coding Networks Meet Action Recognition. ICIP (2020)
Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig
Duality Diagram Similarity: A Generic Framework for Initialization Selection in Task Transfer Learning. ECCV (26) (2020)
Xia Huang, Hossein Mousavi, Gemma Roig
Predictive Coding Networks Meet Action Recognition. CoRR (2019)
Kshitij Dwivedi, Gemma Roig
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning. CVPR (2019)
Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. CoRR (2019)
Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans
Latent Space Representation for Multi-Target Speaker Detection and Identification with a Sparse Dataset Using Triplet Neural Networks. ASRU (2019)
Radoslaw Martin Cichy, Gemma Roig, Aude Oliva
The Algonauts Project. Nat. Mach. Intell. 1 (12) (2019)
Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks. CoRR (2019)
Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. CoRR (2019)
Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. CoRR (2019)
Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. CVPR (2019)
Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. CoRR (2019)
Sayan Rakshit, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning. GCPR (2019)
Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. ICCV Workshops (2019)
Jiahui Huang, Kshitij Dwivedi, Gemma Roig
Deep Anchored Convolutional Neural Networks. CoRR (2019)
Jiahui Huang, Kshitij Dwivedi, Gemma Roig
Deep Anchored Convolutional Neural Networks. CVPR Workshops (2019)
Kshitij Dwivedi, Gemma Roig
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning. CoRR (2019)
Kshitij Dwivedi, Gemma Roig
Navigational Affordance Cortical Responses Explained by Scene-Parsing Model. ECCV Workshops (3) (2018)
Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. ICDM (2018)
Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. CoRR (2018)
Francis X. Chen, Gemma Roig, Leyla Isik, Xavier Boix, Tomaso A. Poggio
Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision. AAAI Spring Symposia (2017)
Anna Volokitin, Gemma Roig, Tomaso A. Poggio
Do Deep Neural Networks Suffer from Crowding? NIPS (2017)
Anna Volokitin, Gemma Roig, Tomaso A. Poggio
Do Deep Neural Networks Suffer from Crowding? CoRR (2017)
Yena Han, Gemma Roig, Gadi Geiger, Tomaso A. Poggio
Is the Human Visual System Invariant to Translation and Scale? AAAI Spring Symposia (2017)
Ece Ozkan, Gemma Roig, Orcun Goksel, Xavier Boix
Herding Generalizes Diverse M -Best Solutions. CoRR (2016)
Ming Jiang, Xavier Boix, Gemma Roig, Juan Xu, Luc Van Gool, Qi Zhao
Learning to Predict Sequences of Human Visual Fixations. IEEE Trans. Neural Networks Learn. Syst. 27 (6) (2016)
Michael Van den Bergh, Xavier Boix, Gemma Roig, Luc Van Gool
SEEDS: Superpixels Extracted Via Energy-Driven Sampling. Int. J. Comput. Vis. 111 (3) (2015)
Ming Jiang, Xavier Boix, Juan Xu, Gemma Roig, Luc Van Gool, Qi Zhao
Saliency Prediction with Active Semantic Segmentation. BMVC (2015)
Yan Luo, Xavier Boix, Gemma Roig, Tomaso A. Poggio, Qi Zhao
Foveation-based Mechanisms Alleviate Adversarial Examples. CoRR (2015)
Xavier Boix, Gemma Roig, Luc Van Gool
Comment on "Ensemble Projection for Semi-supervised Image Classification". CoRR (2014)
Xavier Boix, Gemma Roig, Salomon Diether, Luc Van Gool
Self-Adaptable Templates for Feature Coding. NIPS (2014)
Michael Van den Bergh, Xavier Boix, Gemma Roig, Luc Van Gool
SEEDS: Superpixels Extracted via Energy-Driven Sampling. CoRR (2013)
Michael Van den Bergh, Gemma Roig, Xavier Boix, Santiago Manen, Luc Van Gool
Online Video SEEDS for Temporal Window Objectness. ICCV (2013)
Gemma Roig, Xavier Boix, Roderick de Nijs, Sebastian Ramos, Kolja Kühnlenz, Luc Van Gool
Active MAP Inference in CRFs for Efficient Semantic Segmentation. ICCV (2013)
Gemma Roig, Xavier Boix, Luc Van Gool
Random Binary Mappings for Kernel Learning and Efficient SVM. CoRR (2013)
Xavier Boix, Michael Gygli, Gemma Roig, Luc Van Gool
Sparse Quantization for Patch Description. CVPR (2013)
Xavier Boix, Gemma Roig, Christian Leistner, Luc Van Gool
Nested Sparse Quantization for Efficient Feature Coding. ECCV (2) (2012)
Michael Van den Bergh, Xavier Boix, Gemma Roig, Benjamin de Capitani, Luc Van Gool
SEEDS: Superpixels Extracted via Energy-Driven Sampling. ECCV (7) (2012)
Roderick de Nijs, Sebastian Ramos, Gemma Roig, Xavier Boix, Luc Van Gool, Kolja Kühnlenz
On-line semantic perception using uncertainty. IROS (2012)
Gemma Roig, Xavier Boix, Horesh Ben Shitrit, Pascal Fua
Conditional Random Fields for multi-camera object detection. ICCV (2011)
Gemma Roig, Xavier Boix Bosch, Fernando De la Torre, Joan Serrat Gual, Carles Vilella
Hierarchical CRF with product label spaces for parts-based models. FG (2011)
Gemma Roig, Xavier Boix, Fernando De la Torre
Optimal feature selection for subspace image matching. ICCV Workshops (2009)