Gemma Roig - RankMe

103 papers A* 13A 4B 5C 1Misc 1Journal 60Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contextual inference from single objects in Vision-Language models. CoRR Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig
2026	J	`jnl`	Temporal Slowness in Central Vision Drives Semantic Object Learning. CoRR Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2026	J	`jnl`	\textsc{PGO-BEN}: Proxy-Guided Orthogonalization and Beta Ensembling for Few-Shot Domain-Incremental Learning. Trans. Mach. Learn. Res. Samrat Mukherjee, Thivyanth Venkateswaran, Eric Nuertey Coleman, Luigi Quarantiello, Julio Hurtado, Vincenzo Lomonaco, Gemma Roig, Subhasis Chaudhuri, Biplab Banerjee
2025	—	`conf`	Beyond Data Augmentations: Generalization Abilities of Few-Shot Segmentation Models. VISIGRAPP (2): VISAPP Muhammad Ahsan, Guy Ben-Yosef, Gemma Roig
2025	A*	`conf`	BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation. ICLR Diego Garcia Cerdas, Christina Sartzetaki, Magnus Petersen, Gemma Roig, Pascal Mettes, Iris I. A. Groen
2025	J	`jnl`	Cognitive Neural Architecture Search Reveals Hierarchical Entailment. CoRR Lukas Kuhn, Sari Saba-Sadiya, Gemma Roig
2025	J	`jnl`	Correction: FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks. Int. J. Comput. Vis. Mahadev Prasad Panda, Matteo Tiezzi, Martina G. Vilas, Gemma Roig, Bjoern M. Eskofier, Dario Zanca
2025	J	`jnl`	Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers. CoRR Lukas Kuhn, Sari Sadiya, Jörg Schlötterer, Christin Seifert, Gemma Roig
2025	J	`jnl`	FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks. Int. J. Comput. Vis. Mahadev Prasad Panda, Matteo Tiezzi, Martina G. Vilas, Gemma Roig, Bjoern M. Eskofier, Dario Zanca
2025	J	`jnl`	Human Gaze Boosts Object-Centered Representation Learning. CoRR Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2025	J	`jnl`	Net2Brain: a toolbox to compare artificial vision models with human brain responses. Frontiers Neuroinformatics Domenic Bersch, Martina G. Vilas, Sari Saba-Sadiya, Timothy Schaumlöffel, Kshitij Dwivedi, Christina Sartzetaki, Radoslaw Martin Cichy, Gemma Roig
2025	A	`conf`	On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process. WACV Gereziher Adhane, Mohammad Mahdi Dehshibi, Dennis Vetter, David Masip, Gemma Roig
2025	A*	`conf`	One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment. ICLR Christina Sartzetaki, Gemma Roig, Cees G. M. Snoek, Iris I. A. Groen
2025	J	`jnl`	The Representational Alignment between Humans and Language Models is implicitly driven by a Concreteness Effect. CoRR Cosimo Iaia, Bhavin Choksi, Emily Wiebers, Gemma Roig, Christian J. Fiebach
2025	Misc	`conf`	UIDAPLE: Unsupervised Incremental Domain Adaptation through Adaptive Prompt Learning. ICASSP Samrat Mukherjee, Tanuj Sur, Saurish Seksaria, Subhasis Chaudhuri, Gemma Roig, Biplab Banerjee
2024	J	`jnl`	Classification of freshwater snails of the genus Radomaniola with multimodal triplet networks. CoRR Dennis Vetter, Muhammad Ahsan, Diana Delicado, Thomas A. Neubauer, Thomas Wilke, Gemma Roig
2024	J	`jnl`	Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study. CoRR Tobias Ettling, Sari Saba-Sadiya, Gemma Roig
2024	J	`jnl`	Fairness Through Controlled (Un)Awareness in Node Embeddings. CoRR Dennis Vetter, Jasper Forth, Gemma Roig, Holger Dell
2024	J	`jnl`	Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks. CoRR Mahadev Prasad Panda, Matteo Tiezzi, Martina G. Vilas, Gemma Roig, Bjoern M. Eskofier, Dario Zanca
2024	A	`conf`	Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. WACV Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee
2024	—	`conf`	Learning Object Semantic Similarity with Self-Supervision. ICDL Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen Triesch
2024	J	`jnl`	Learning Object Semantic Similarity with Self-Supervision. CoRR Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen Triesch
2024	—	`conf`	Limited but Consistent Gains in Adversarial Robustness by Co-training Object Recognition Models with Human EEG. ECCV Workshops (14) Manshan Guo, Bhavin Choksi, Sari Sadiya, Alessandro T. Gifford, Martina G. Vilas, Radoslaw Martin Cichy, Gemma Roig
2024	J	`jnl`	Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG. CoRR Manshan Guo, Bhavin Choksi, Sari Saba-Sadiya, Alessandro T. Gifford, Martina G. Vilas, Radoslaw Martin Cichy, Gemma Roig
2024	J	`jnl`	On Explaining Knowledge Distillation: Measuring and Visualising the Knowledge Transfer Process. CoRR Gereziher Adhane, Mohammad Mahdi Dehshibi, Dennis Vetter, David Masip, Gemma Roig
2024	J	`jnl`	Position Paper: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. CoRR Martina G. Vilas, Federico Adolfi, David Poeppel, Gemma Roig
2024	A*	`conf`	Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. ICML Martina G. Vilas, Federico Adolfi, David Poeppel, Gemma Roig
2023	A*	`conf`	Analyzing Vision Transformers for Image Classification in Class Embedding Space. NeurIPS Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig
2023	J	`jnl`	Analyzing Vision Transformers for Image Classification in Class Embedding Space. CoRR Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig
2023	—	`conf`	Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. ICDL Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2023	J	`jnl`	Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. CoRR Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch
2023	—	`conf`	Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study. BIBM Tobias Ettling, Sari Saba-Sadiya, Gemma Roig
2023	J	`jnl`	EmoMV: Affective music-video correspondence learning datasets for classification and retrieval. Inf. Fusion Ha Thi Phuong Thao, Gemma Roig, Dorien Herremans
2023	J	`jnl`	LLM Adaptive PID Control for B5G Truck Platooning Systems. Sensors Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate
2023	J	`jnl`	LLM Multimodal Traffic Accident Forecasting. Sensors Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate
2023	J	`jnl`	Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. CoRR Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee
2023	J	`jnl`	The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes. CoRR Alessandro T. Gifford, Benjamin Lahner, Sari Saba-Sadiya, Martina G. Vilas, Alex Lascelles, Aude Oliva, K. Kay, Gemma Roig, Radoslaw Martin Cichy
2022	J	`jnl`	A large and rich EEG dataset for modeling human visual object recognition. NeuroImage Alessandro T. Gifford, Kshitij Dwivedi, Gemma Roig, Radoslaw Martin Cichy
2022	J	`jnl`	FRIDA - Generative feature replay for incremental domain adaptation. Comput. Vis. Image Underst. Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
2022	J	`jnl`	Net2Brain: A Toolbox to compare artificial vision models with human brain responses. CoRR Domenic Bersch, Kshitij Dwivedi, Martina G. Vilas, Radoslaw Martin Cichy, Gemma Roig
2022	J	`jnl`	Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses. CoRR Phoebe Chua, Dimos Makris, Dorien Herremans, Gemma Roig, Kat Agres
2022	J	`jnl`	Single Image Video Prediction with Auto-Regressive GANs. Sensors Jiahui Huang, Yew Ken Chia, Samson Yu, Kevin Yee, Dennis Küster, Eva Krumhuber, Dorien Herremans, Gemma Roig
2022	B	`conf`	Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature. COLING Sajawel Ahmed, Rob van der Goot, Misbahur Rehman, Carl Kruse, Ömer Özsoy, Alexander Mehler, Gemma Roig
2022	—	`conf`	Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI. IAIL@HHAI Dennis Vetter, Jesmin Jahan Tithi, Magnus Westerlund, Roberto V. Zicari, Gemma Roig
2022	J	`jnl`	Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI. CoRR Dennis Vetter, Jesmin Jahan Tithi, Magnus Westerlund, Roberto V. Zicari, Gemma Roig
2022	A*	`conf`	What do navigation agents learn about their environment? CVPR Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi
2022	J	`jnl`	What do navigation agents learn about their environment? CoRR Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi
2021	J	`jnl`	AttendAffectNet-Emotion Prediction of Movie Viewers Using Multimodal Fusion with Self-Attention. Sensors Ha Thi Phuong Thao, Balamurali B. T., Gemma Roig, Dorien Herremans
2021	J	`jnl`	FRIDA - Generative Feature Replay for Incremental Domain Adaptation. CoRR Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
2021	J	`jnl`	The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion. CoRR 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
2021	J	`jnl`	Unraveling Representations in Scene-selective Brain Regions Using Scene-Parsing Deep Neural Networks. J. Cogn. Neurosci. Kshitij Dwivedi, Radoslaw Martin Cichy, Gemma Roig
2021	J	`jnl`	Unveiling functions of the visual cortex using task-specific deep neural networks. PLoS Comput. Biol. Kshitij Dwivedi, Michael F. Bonner, Radoslaw Martin Cichy, Gemma Roig
2020	B	`conf`	AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. ICPR Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig
2020	J	`jnl`	AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. CoRR Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig
2020	—	`conf`	Duality Diagram Similarity: A Generic Framework for Initialization Selection in Task Transfer Learning. ECCV (26) Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig
2020	J	`jnl`	Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning. CoRR Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig
2020	A*	`conf`	LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. AAAI Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung
2020	—	`conf`	Multi-source Open-Set Deep Adversarial Domain Adaptation. ECCV (26) Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
2020	J	`jnl`	Multiphase and Multivariable Linear Controllers That Account for the Joint Torques in Normal Human Walking. IEEE Trans. Biomed. Eng. Evrim S. Altinkaynak, Gemma Roig, David J. Braun
2020	B	`conf`	Predictive Coding Networks Meet Action Recognition. ICIP Xia Huang, Hossein Mousavi, Gemma Roig
2020	B	`conf`	Regression-based Music Emotion Prediction using Triplet Neural Networks. IJCNN Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans
2020	J	`jnl`	Regression-based music emotion prediction using triplet neural networks. CoRR Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans
2020	J	`jnl`	Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models. CoRR Sahar Siddiqui, Elena Sizikova, Gemma Roig, Najib J. Majaj, Denis G. Pelli
2019	—	`conf`	Deep Anchored Convolutional Neural Networks. CVPR Workshops Jiahui Huang, Kshitij Dwivedi, Gemma Roig
2019	J	`jnl`	Deep Anchored Convolutional Neural Networks. CoRR Jiahui Huang, Kshitij Dwivedi, Gemma Roig
2019	A*	`conf`	JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. CVPR Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
2019	J	`jnl`	JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. CoRR Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
2019	J	`jnl`	LCD: Learned Cross-Domain Descriptors for 2D-3D Matching. CoRR Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung
2019	C	`conf`	Latent Space Representation for Multi-Target Speaker Detection and Identification with a Sparse Dataset Using Triplet Neural Networks. ASRU Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans
2019	J	`jnl`	Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks. CoRR Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans
2019	—	`conf`	Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. ICCV Workshops Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig
2019	J	`jnl`	Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. CoRR Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig
2019	J	`jnl`	Predictive Coding Networks Meet Action Recognition. CoRR Xia Huang, Hossein Mousavi, Gemma Roig
2019	A*	`conf`	Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning. CVPR Kshitij Dwivedi, Gemma Roig
2019	J	`jnl`	Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning. CoRR Kshitij Dwivedi, Gemma Roig
2019	J	`jnl`	The Algonauts Project. Nat. Mach. Intell. Radoslaw Martin Cichy, Gemma Roig, Aude Oliva
2019	J	`jnl`	The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. CoRR Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva
2019	—	`conf`	Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning. GCPR Sayan Rakshit, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
2018	A*	`conf`	DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. ICDM Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici
2018	J	`jnl`	DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN. CoRR Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, Yuval Elovici
2018	—	`conf`	Navigational Affordance Cortical Responses Explained by Scene-Parsing Model. ECCV Workshops (3) Kshitij Dwivedi, Gemma Roig
2017	—	`conf`	Do Deep Neural Networks Suffer from Crowding? NIPS Anna Volokitin, Gemma Roig, Tomaso A. Poggio
2017	J	`jnl`	Do Deep Neural Networks Suffer from Crowding? CoRR Anna Volokitin, Gemma Roig, Tomaso A. Poggio
2017	—	`conf`	Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision. AAAI Spring Symposia Francis X. Chen, Gemma Roig, Leyla Isik, Xavier Boix, Tomaso A. Poggio
2017	—	`conf`	Is the Human Visual System Invariant to Translation and Scale? AAAI Spring Symposia Yena Han, Gemma Roig, Gadi Geiger, Tomaso A. Poggio
2016	J	`jnl`	Herding Generalizes Diverse M -Best Solutions. CoRR Ece Ozkan, Gemma Roig, Orcun Goksel, Xavier Boix
2016	J	`jnl`	Learning to Predict Sequences of Human Visual Fixations. IEEE Trans. Neural Networks Learn. Syst. Ming Jiang, Xavier Boix, Gemma Roig, Juan Xu, Luc Van Gool, Qi Zhao
2015	J	`jnl`	Foveation-based Mechanisms Alleviate Adversarial Examples. CoRR Yan Luo, Xavier Boix, Gemma Roig, Tomaso A. Poggio, Qi Zhao
2015	J	`jnl`	SEEDS: Superpixels Extracted Via Energy-Driven Sampling. Int. J. Comput. Vis. Michael Van den Bergh, Xavier Boix, Gemma Roig, Luc Van Gool
2015	A	`conf`	Saliency Prediction with Active Semantic Segmentation. BMVC Ming Jiang, Xavier Boix, Juan Xu, Gemma Roig, Luc Van Gool, Qi Zhao
2014	J	`jnl`	Comment on "Ensemble Projection for Semi-supervised Image Classification". CoRR Xavier Boix, Gemma Roig, Luc Van Gool
2014	—	`conf`	Self-Adaptable Templates for Feature Coding. NIPS Xavier Boix, Gemma Roig, Salomon Diether, Luc Van Gool
2013	A*	`conf`	Active MAP Inference in CRFs for Efficient Semantic Segmentation. ICCV Gemma Roig, Xavier Boix, Roderick de Nijs, Sebastian Ramos, Kolja Kühnlenz, Luc Van Gool
2013	A*	`conf`	Online Video SEEDS for Temporal Window Objectness. ICCV Michael Van den Bergh, Gemma Roig, Xavier Boix, Santiago Manen, Luc Van Gool
2013	J	`jnl`	Random Binary Mappings for Kernel Learning and Efficient SVM. CoRR Gemma Roig, Xavier Boix, Luc Van Gool
2013	J	`jnl`	SEEDS: Superpixels Extracted via Energy-Driven Sampling. CoRR Michael Van den Bergh, Xavier Boix, Gemma Roig, Luc Van Gool
2013	A*	`conf`	Sparse Quantization for Patch Description. CVPR Xavier Boix, Michael Gygli, Gemma Roig, Luc Van Gool
2012	—	`conf`	Nested Sparse Quantization for Efficient Feature Coding. ECCV (2) Xavier Boix, Gemma Roig, Christian Leistner, Luc Van Gool
2012	A	`conf`	On-line semantic perception using uncertainty. IROS Roderick de Nijs, Sebastian Ramos, Gemma Roig, Xavier Boix, Luc Van Gool, Kolja Kühnlenz
2012	—	`conf`	SEEDS: Superpixels Extracted via Energy-Driven Sampling. ECCV (7) Michael Van den Bergh, Xavier Boix, Gemma Roig, Benjamin de Capitani, Luc Van Gool
2011	A*	`conf`	Conditional Random Fields for multi-camera object detection. ICCV Gemma Roig, Xavier Boix, Horesh Ben Shitrit, Pascal Fua
2011	B	`conf`	Hierarchical CRF with product label spaces for parts-based models. FG Gemma Roig, Xavier Boix Bosch, Fernando De la Torre, Joan Serrat Gual, Carles Vilella
2009	—	`conf`	Optimal feature selection for subspace image matching. ICCV Workshops Gemma Roig, Xavier Boix, Fernando De la Torre