Pau Rodriguez

Publications

StarVector: Generating Scalable Vector Graphics Code from Images and Text. Juan A. Rodriguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodriguez, Sai Rajeswar Mudumba, David Vazquez, Christopher Pal, Marco Pedersoli. At Computer Vision and Pattern Recognition (CVPR), 2025.

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EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision. Diego Velazquez, Pau Rodriguez, Sergio Alonso, Josep M. Gonfaus, Jordi Gonzalez, Gerardo Richarte, Javier Marin, Yoshua Bengio, Alexandre Lacoste. At Workshop at the Winter Conference on Applications of Computer Vision (WACV), 2025.

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StarVector: Generating Scalable Vector Graphics Code from Images and Text. Juan A. Rodriguez, Abhay Puri, Shubham Agarwal, Issam H. Laradji, Pau Rodriguez, Sai Rajeswar Mudumba, David Vazquez, Christopher Pal, Marco Pedersoli. At AAAI Demos, 2025.

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Workflow discovery in low data regimes. Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vazquez, Pau Rodriguez, Christopher Pal. At International Conference of Learning Representations (ICLR), 2024.

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3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodriguez, David Vazquez. At ArXiv, 2024.

Language Decision Transformers with Exponential Tilt for Interactive Text Environments. Nicolas Gontier, Pau Rodriguez, Issam H. Laradji, David Vazquez, Christopher Pal. At ArXiv, 2024.

StarVector: Generating Scalable Vector Graphics Code from Images and Text. Juan A. Rodriguez, Shubham Agarwal, Abhay Puri, Issam H. Laradji, Sai Rajeswar Mudumba, Pau Rodriguez, David Vazquez, Christopher Pal, Marco Pedersoli. At ArXiv, 2024.

GEO-Bench: Toward Foundation Models for Earth Monitoring. Alexandre Lacoste, Nils Lehmann, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Pau Rodriguez, Alexandre Drouin, David Vazquez, Evan D. Sherwin. At NeurIPS Datasets and Benchmarks Track (NeurIPS Datasets), 2023.

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CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. Charles Guille-Escuret, Pau Rodriguez, David Vazquez, Ioannis Mitliagkas, João Monteiro. At Conference on Neural Information Processing Systems (NeurIPS), 2023.

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Group Robust Classification Without Any Group Information. Christos Tsirigotis, João Monteiro, Pau Rodriguez, Aaron Courville. At Conference on Neural Information Processing Systems (NeurIPS), 2023.

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OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning. Rim Assouel, Pau Rodriguez, Perouz Taslakian, David Vazquez, Yoshua Bengio. At Workshop at the International Conference on Machine Learning (ICML), 2023.

Workflow discovery in low data regimes. Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vazquez, Pau Rodriguez, Christopher Pal. At Workshop at the International Conference on Machine Learning (ICML), 2023.

MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. Oscar Manas, Pau Rodriguez, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal. At European Chapter of the Association for Computational Linguistics (EACL), 2023.

Constraining Representations Yields Models That Know What They Don't Know. João Monteiro, Pau Rodriguez, Pierre-André Noël, Issam H. Laradji, David Vazquez. At International Conference of Learning Representations (ICLR), 2023.

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FigGen: Text to Scientific Figure Generation. Juan A. Rodriguez, David Vazquez, Issam H. Laradji, Marco Pedersoli, Pau Rodriguez. At International Conference of Learning Representations (ICLR), 2023.

Workflow discovery in low data regimes. Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vazquez, Pau Rodriguez, Christopher Pal. At Transactions on Machine Learning Research, 2023.

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OCR-VQGAN: Taming Text-within-Image Generation. Juan A. Rodriguez, David Vazquez, Marco Pedersoli, Issam H. Laradji, Pau Rodriguez. At Winter Conference on Applications of Computer Vision (WACV), 2023.

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Attention for Compositional Modularity. Oleksiy Ostapenko, Alexandre Lacoste, Pau Rodriguez. At Workshop at the Neural Information Processing Systems (NeurIPS), 2022.

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Constraining Low-level Representations to Define Effective Confidence Scores. João Monteiro, Pau Rodriguez, Pierre-André Noël, Issam H. Laradji, David Vazquez. At Workshop at the Neural Information Processing Systems (NeurIPS), 2022.

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Contrastive Self-supervision Defines General-Purpose Similarity Functions. Charles Guille-Escuret, Pau Rodriguez, David Vazquez, Ioannis Mitliagkas, João Monteiro. At Workshop at the Neural Information Processing Systems (NeurIPS), 2022.

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Exploring the Design Space of Generative Diffusion Processes for Sparse Graphs. Pierre-André Noël, Pau Rodriguez. At Workshop at the Neural Information Processing Systems (NeurIPS), 2022.

Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. Sai Rajeswar Mudumba, Issam H. Laradji, Pau Rodriguez, David Vazquez, Aaron Courville. At British Machine Vision Conference (BMVC), 2022.

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Continual Learning with self-selecting specialized modules through expansion and pruning. Oleksiy Ostapenko, Pau Rodriguez, Alexandre Lacoste, Laurent Charlin. At Montreal AI Symposium (MAIS), 2022.

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. Gaurav Sahu, Pau Rodriguez, Issam H. Laradji, Parmida Atighhehchian, David Vazquez, Dzmitry Bahdanau. At Montreal AI Symposium (MAIS), 2022.

Leveraging Activation Patterns to Define Classifiers Able to Detect and Reject Anomalies. João Monteiro, Pau Rodriguez, Pierre-André Noël, Issam H. Laradji, David Vazquez. At Montreal AI Symposium (MAIS), 2022.

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S-LLM: Semi-Supervised Large Language Model for Chat Summarization. Issam H. Laradji, Sathwik Tejaswi Madhusudhan, Orlando Marquez, Pau Rodriguez, David Vazquez. At Montreal AI Symposium (MAIS), 2022.

A Closer Look at Embedding Propagation for Manifold Smoothing. Diego Velazquez, Pau Rodriguez, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzalez. At Journal of Machine Learning Research (JMLR), 2022.

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Continual Learning with Foundation Models: An Empirical Study of Latent Replay. Oleksiy Ostapenko, Timothee Lesort, Pau Rodriguez, Arthur Douillard, Irina Rish, Laurent Charlin. At Conference on Lifelong Learning Agents (CoLLAs), 2022.

Overcoming challenges in leveraging GANs for few-shot data augmentation. Christopher Beckham, Issam H. Laradji, Pau Rodriguez, David Vazquez, Derek Nowrouzezahrai, Christopher Pal. At Workshop at the Conference on Lifelong Learning Agents (CoLLAs), 2022.

Continual Learning with Foundation Models: An Empirical Study of Latent Replay. Oleksiy Ostapenko, Timothee Lesort, Pau Rodriguez, Arthur Douillard, Irina Rish, Laurent Charlin. At Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Multi-label Iterated Learning for Image Classification with Label Ambiguity. Sai Rajeswar Mudumba, Pau Rodriguez, Soumye Singhal, David Vazquez, Aaron Courville. At Computer Vision and Pattern Recognition (CVPR), 2022.

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Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. Gaurav Sahu, Pau Rodriguez, Parmida Atighhehchian, Issam H. Laradji, David Vazquez, Dzmitry Bahdanau. At Workshop at the Annual Meetings of the Association for Computational Linguistics (ACL), 2022.

Can Active Learning Preemptively Mitigate Fairness Issues?. Frédéric Branchaud-Charron, Parmida Atighhehchian, Pau Rodriguez, Grace Abuhamad, Alexandre Lacoste. At Workshop at the International Conference on Learning Representations (ICLR), 2022.

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Object-centric Compositional Imagination for Visual Abstract Reasoning. Rim Assouel, Perouz Taslakian, David Vazquez, Pau Rodriguez, Yoshua Bengio. At Workshop at the International Conference on Learning Representations (ICLR), 2022.

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA. Sébastien Lachapelle, Pau Rodriguez, Yash Sharma, Katie Everett , Rémi Le Priol, Alexandre Lacoste, Simon Lcoste-Julien. At Causal Learning and Reasoning (CLeaR), 2022.

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Continual Learning via Local Module Composition. Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia, Laurent Charlin. At Conference on Neural Information Processing Systems (NeurIPS), 2021.

Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. Alexandre Lacoste, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodriguez, David Vazquez, Evan D. Sherwin. At Workshop at the Neural Information Processing Systems (NeurIPS), 2021.

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A Survey of Self-Supervised and Few-Shot Object Detection. Gabriel Huang, Issam H. Laradji, David Vazquez, Simon Lcoste-Julien, Pau Rodriguez. At IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021.

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Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. Pau Rodriguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vazquez. At International Conference on Computer Vision (ICCV), 2021.

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Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. Oscar Manas, Alexandre Lacoste, Xavier Giro-i-Nieto, David Vazquez, Pau Rodriguez. At International Conference on Computer Vision (ICCV), 2021.

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SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. Issam H. Laradji, Pau Rodriguez, David Vazquez, Derek Nowrouzezahrai. At Workshop at the International Conference on Computer Vision (ICCV), 2021.

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Logo Detection with no Priors. Diego Velazquez, Josep M. Gonfaus, Pau Rodriguez, F. Xavier Roca, Seiichi Ozawa, Jordi Gonzalez. At The Multidisciplinary Open Access Journal (IEEE Access), 2021.

Weakly Supervised Underwater Fish Segmentation Using Affinity LCFCN. Issam H. Laradji, Alzayat Saleh, Pau Rodriguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vazquez. At Nature Scientific Reports, 2021.

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A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. Issam H. Laradji, Pau Rodriguez, Oscar Manas, Keegan Lensink, Marco Law, Lironne Kurzman, David Vazquez, Derek Nowrouzezahrai, William A Parker. At Winter Conference on Applications of Computer Vision (WACV), 2021.

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Overnet: Lightweight multi-scale super-resolution with overscaling network. Parichehr Behjati, Pau Rodriguez, Armin Mehri, Isabelle Hupont, Jordi Gonzalez, Carles Fernandez. At Winter Conference on Applications of Computer Vision (WACV), 2021.

Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. Issam H. Laradji, Pau Rodriguez, Alfredo Kalaitzis, David Vazquez, Ross Young, Ed Davey, Alexandre Lacoste. At Workshop at the Neural Information Processing Systems (NeurIPS), 2020.

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Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vazquez, Laurent Charlin. At Conference on Neural Information Processing Systems (NeurIPS), 2020.

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Synbols: Probing Learning Algorithms with Synthetic Datasets. Alexandre Lacoste, Pau Rodriguez, Frederic Branchaud, Parmida Atighhehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vazquez. At Conference on Neural Information Processing Systems (NeurIPS), 2020.

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Hierarchical Residual Attention Network for Single Image Super-Resolution. Parichehr Behjati, Pau Rodriguez, Armin Mehri, Isabelle Hupont, Carles Fernandez, Jordi Gonzalez. At ArXiv, 2020.

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LOOC: Localize Overlapping Objects with Count Supervision. Issam H. Laradji, Rafael Pardinas, Pau Rodriguez, David Vazquez. At International Conference on Image Processing (ICIP), 2020.

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CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vazquez, German I. Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni. At Artificial Intelligence Journal, 2020.

Embedding Propagation: Smoother Manifold for Few-Shot Classification. Pau Rodriguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste. At European Conference on Computer Vision (ECCV), 2020.

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Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vazquez, Laurent Charlin. At Workshop at the Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

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Integrating Vision and Language in Social Networks for Identifying Visual Patterns of Personality Traits. Pau Rodriguez, Jordi Gonzalez, Josep M. Gonfaus, Xavier Roca. At International Journal of Social Science and Humanity (IJSSH), 2019.

TADAM: Task dependent adaptive metric for improved few-shot learning. Boris N. Oreshkin, Pau Rodriguez, Alexandre Lacoste. At Conference on Neural Information Processing Systems (NeurIPS), 2018.

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Synbols: Probing Learning Algorithms with Synthetic Datasets. Alexandre Lacoste, Pau Rodriguez, Frédéric Branchaud-Charron, Parmida Atighhehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vazquez. At Montreal AI Symposium (MAIS), 2018.

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Pay attention to the activations: a modular attention mechanism for fine-grained image recognition. Pau Rodriguez, Diego Velazquez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzalez. At Transitions on Multimedia (IEEE TM), 2018.

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