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ORCIDGemma Roig
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- affiliation: Goethe University Frankfurt, Germany
- affiliation: Massachusetts Institute of Technology
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2020 – today
- 2024
[c37]Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen Triesch:
Learning Object Semantic Similarity with Self-Supervision. ICDL 2024: 1-6- [c36]Martina G. Vilas, Federico Adolfi, David Poeppel, Gemma Roig:
Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. ICML 2024 - [c35]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: 1805-1815 - [i36]Tobias Ettling, Sari Saba-Sadiya, Gemma Roig:
Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study. CoRR abs/2402.09464 (2024) - [i35]Arthur Aubret, Timothy Schaumlöffel, Gemma Roig, Jochen Triesch:
Learning Object Semantic Similarity with Self-Supervision. CoRR abs/2405.05143 (2024) - [i34]Martina G. Vilas, Federico Adolfi, David Poeppel, Gemma Roig:
Position Paper: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience. CoRR abs/2406.01352 (2024) - [i33]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 abs/2407.20013 (2024) - [i32]Dennis Vetter, Jasper Forth, Gemma Roig, Holger Dell:
Fairness Through Controlled (Un)Awareness in Node Embeddings. CoRR abs/2407.20024 (2024) - [i31]Mahadev Prasad Panda, Matteo Tiezzi, Martina G. Vilas, Gemma Roig, Bjoern M. Eskofier, Dario Zanca:
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks. CoRR abs/2408.02123 (2024) - [i30]Manshan Guo, Bhavin Choksi, Sari Saba-Sadiya, Alessandro T. Gifford, Martina G. Vilas, Radoslaw Martin Cichy, Gemma Roig:
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG. CoRR abs/2409.03646 (2024) - 2023
- [j13]Ha Thi Phuong Thao, Gemma Roig, Dorien Herremans
:
EmoMV: Affective music-video correspondence learning datasets for classification and retrieval. Inf. Fusion 91: 64-79 (2023) - [j12]Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate:
LLM Adaptive PID Control for B5G Truck Platooning Systems. Sensors 23(13): 5899 (2023) - [j11]Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate:
LLM Multimodal Traffic Accident Forecasting. Sensors 23(22): 9225 (2023) - [c34]Tobias Ettling, Sari Saba-Sadiya, Gemma Roig:
Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study. BIBM 2023: 4051-4058 - [c33]Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch:
Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. ICDL 2023: 67-72 - [c32]Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig:
Analyzing Vision Transformers for Image Classification in Class Embedding Space. NeurIPS 2023 - [i29]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 abs/2301.03198 (2023) - [i28]Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig:
Analyzing Vision Transformers for Image Classification in Class Embedding Space. CoRR abs/2310.18969 (2023) - [i27]Prathmesh Bele, Valay Bundele, Avigyan Bhattacharya, Ankit Jha, Gemma Roig, Biplab Banerjee:
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. CoRR abs/2311.02599 (2023) - [i26]Timothy Schaumlöffel, Arthur Aubret, Gemma Roig, Jochen Triesch:
Caregiver Talk Shapes Toddler Vision: A Computational Study of Dyadic Play. CoRR abs/2312.04118 (2023) - 2022
- [j10]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: 103367 (2022) - [j9]Alessandro T. Gifford, Kshitij Dwivedi, Gemma Roig, Radoslaw Martin Cichy:
A large and rich EEG dataset for modeling human visual object recognition. NeuroImage 264: 119754 (2022) - [j8]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): 3533 (2022) - [c31]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: 3753-3768 - [c30]Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi:
What do navigation agents learn about their environment? CVPR 2022: 10266-10275 - [c29]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 - [i25]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 abs/2202.10453 (2022) - [i24]Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi:
What do navigation agents learn about their environment? CoRR abs/2206.08500 (2022) - [i23]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 abs/2208.04608 (2022) - [i22]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 abs/2208.09677 (2022) - 2021
- [j7]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): 2032-2043 (2021) - [j6]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) - [j5]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): 8356 (2021) - [i21]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:
The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion. CoRR abs/2104.13714 (2021) - [i20]Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri:
FRIDA - Generative Feature Replay for Incremental Domain Adaptation. CoRR abs/2112.14316 (2021) - 2020
- [j4]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): 1573-1584 (2020) - [c28]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: 11856-11864 - [c27]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: 497-513 - [c26]Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri:
Multi-source Open-Set Deep Adversarial Domain Adaptation. ECCV (26) 2020: 735-750 - [c25]Xia Huang, Hossein Mousavi, Gemma Roig:
Predictive Coding Networks Meet Action Recognition. ICIP 2020: 793-797 - [c24]Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig:
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. ICPR 2020: 8719-8726 - [c23]Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans:
Regression-based Music Emotion Prediction using Triplet Neural Networks. IJCNN 2020: 1-7 - [i19]Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans:
Regression-based music emotion prediction using triplet neural networks. CoRR abs/2001.09988 (2020) - [i18]Sahar Siddiqui, Elena Sizikova, Gemma Roig, Najib J. Majaj, Denis G. Pelli:
Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models. CoRR abs/2007.00083 (2020) - [i17]Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig:
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning. CoRR abs/2008.02107 (2020) - [i16]Ha Thi Phuong Thao, Balamurali B. T., Dorien Herremans, Gemma Roig:
AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from Movies. CoRR abs/2010.11188 (2020)
2010 – 2019
- 2019
- [j3]Radoslaw Martin Cichy, Gemma Roig, Aude Oliva:
The Algonauts Project. Nat. Mach. Intell. 1(12): 613 (2019) - [c22]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: 358-364 - [c21]Jiahui Huang, Kshitij Dwivedi, Gemma Roig:
Deep Anchored Convolutional Neural Networks. CVPR Workshops 2019: 629-637 - [c20]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: 8827-8836 - [c19]Kshitij Dwivedi, Gemma Roig:
Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning. CVPR 2019: 12387-12396 - [c18]Sayan Rakshit, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri:
Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning. GCPR 2019: 485-498 - [c17]Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig:
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. ICCV Workshops 2019: 1618-1627 - [i15]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 abs/1904.00699 (2019) - [i14]Jiahui Huang, Kshitij Dwivedi, Gemma Roig:
Deep Anchored Convolutional Neural Networks. CoRR abs/1904.09764 (2019) - [i13]Kshitij Dwivedi, Gemma Roig:
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning. CoRR abs/1904.11740 (2019) - [i12]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 abs/1905.05675 (2019) - [i11]Ha Thi Phuong Thao, Dorien Herremans, Gemma Roig:
Multimodal Deep Models for Predicting Affective Responses Evoked by Movies. CoRR abs/1909.06957 (2019) - [i10]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 abs/1910.01463 (2019) - [i9]Xia Huang, Hossein Mousavi, Gemma Roig:
Predictive Coding Networks Meet Action Recognition. CoRR abs/1910.10056 (2019) - [i8]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 abs/1911.09326 (2019) - 2018
- [c16]Kshitij Dwivedi, Gemma Roig:
Navigational Affordance Cortical Responses Explained by Scene-Parsing Model. ECCV Workshops (3) 2018: 536-545 - [c15]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: 1122-1127 - [i7]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 abs/1808.07632 (2018) - 2017
- [c14]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 - [c13]Yena Han, Gemma Roig, Gadi Geiger, Tomaso A. Poggio:
Is the Human Visual System Invariant to Translation and Scale? AAAI Spring Symposia 2017 - [c12]Anna Volokitin, Gemma Roig, Tomaso A. Poggio:
Do Deep Neural Networks Suffer from Crowding? NIPS 2017: 5628-5638 - [i6]Anna Volokitin, Gemma Roig, Tomaso A. Poggio:
Do Deep Neural Networks Suffer from Crowding? CoRR abs/1706.08616 (2017) - 2016
- [j2]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): 1241-1252 (2016) - [i5]Ece Ozkan, Gemma Roig, Orcun Goksel, Xavier Boix:
Herding Generalizes Diverse M -Best Solutions. CoRR abs/1611.04353 (2016) - 2015
- [j1]Michael Van den Bergh, Xavier Boix, Gemma Roig, Luc Van Gool:
SEEDS: Superpixels Extracted Via Energy-Driven Sampling. Int. J. Comput. Vis. 111(3): 298-314 (2015) - [c11]Ming Jiang, Xavier Boix, Juan Xu, Gemma Roig, Luc Van Gool, Qi Zhao:
Saliency Prediction with Active Semantic Segmentation. BMVC 2015: 15.1-15.13 - [i4]Yan Luo, Xavier Boix, Gemma Roig, Tomaso A. Poggio, Qi Zhao:
Foveation-based Mechanisms Alleviate Adversarial Examples. CoRR abs/1511.06292 (2015) - 2014
- [c10]Xavier Boix, Gemma Roig, Salomon Diether, Luc Van Gool:
Self-Adaptable Templates for Feature Coding. NIPS 2014: 864-872 - [i3]Xavier Boix, Gemma Roig, Luc Van Gool:
Comment on "Ensemble Projection for Semi-supervised Image Classification". CoRR abs/1408.6963 (2014) - 2013
- [c9]Xavier Boix, Michael Gygli, Gemma Roig, Luc Van Gool:
Sparse Quantization for Patch Description. CVPR 2013: 2842-2849 - [c8]Michael Van den Bergh, Gemma Roig, Xavier Boix, Santiago Manen, Luc Van Gool:
Online Video SEEDS for Temporal Window Objectness. ICCV 2013: 377-384 - [c7]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: 2312-2319 - [i2]Gemma Roig, Xavier Boix, Luc Van Gool:
Random Binary Mappings for Kernel Learning and Efficient SVM. CoRR abs/1307.5161 (2013) - [i1]Michael Van den Bergh, Xavier Boix, Gemma Roig, Luc Van Gool:
SEEDS: Superpixels Extracted via Energy-Driven Sampling. CoRR abs/1309.3848 (2013) - 2012
- [c6]Michael Van den Bergh, Xavier Boix, Gemma Roig, Benjamin de Capitani, Luc Van Gool:
SEEDS: Superpixels Extracted via Energy-Driven Sampling. ECCV (7) 2012: 13-26 - [c5]Xavier Boix, Gemma Roig, Christian Leistner, Luc Van Gool:
Nested Sparse Quantization for Efficient Feature Coding. ECCV (2) 2012: 744-758 - [c4]Roderick de Nijs, Sebastian Ramos, Gemma Roig, Xavier Boix, Luc Van Gool, Kolja Kühnlenz:
On-line semantic perception using uncertainty. IROS 2012: 4185-4191 - 2011
- [c3]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: 657-664 - [c2]Gemma Roig, Xavier Boix, Horesh Ben Shitrit, Pascal Fua:
Conditional Random Fields for multi-camera object detection. ICCV 2011: 563-570
2000 – 2009
- 2009
- [c1]Gemma Roig, Xavier Boix, Fernando De la Torre:
Optimal feature selection for subspace image matching. ICCV Workshops 2009: 200-205
Coauthor Index
Xavier Boix
aka: Xavier Boix Bosch
aka: Xavier Boix Bosch
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last updated on 2024-10-10 21:16 CEST by the dblp team
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