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Author Title Year Publication Volume Pages (up)
Armin Mehri; Parichehr Behjati; Dario Carpio; Angel Sappa SRFormer: Efficient Yet Powerful Transformer Network for Single Image Super Resolution 2023 IEEE Access 11
Diego Velazquez; Pau Rodriguez; Alexandre Lacoste; Issam H. Laradji; Xavier Roca; Jordi Gonzalez Evaluating Counterfactual Explainers 2023 Transactions on Machine Learning Research
Ayan Banerjee; Sanket Biswas; Josep Llados; Umapada Pal SemiDocSeg: Harnessing Semi-Supervised Learning for Document Layout Analysis 2024 International Journal on Document Analysis and Recognition
Soumya Jahagirdar; Minesh Mathew; Dimosthenis Karatzas; CV Jawahar Watching the News: Towards VideoQA Models that can Read 2023 Proceedings of the IEEE/CVF Winter Conference on Applications of Computer
Danna Xue; Luis Herranz; Javier Vazquez; Yanning Zhang Burst Perception-Distortion Tradeoff: Analysis and Evaluation 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
Yifan Wang; Luka Murn; Luis Herranz; Fei Yang; Marta Mrak; Wei Zhang; Shuai Wan; Marc Gorriz Blanch Efficient Super-Resolution for Compression Of Gaming Videos 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
Mingyi Yang; Luis Herranz; Fei Yang; Luka Murn; Marc Gorriz Blanch; Shuai Wan; Fuzheng Yang; Marta Mrak Semantic Preprocessor for Image Compression for Machines 2023 IEEE International Conference on Acoustics, Speech and Signal Processing
Albin Soutif; Antonio Carta; Joost Van de Weijer Improving Online Continual Learning Performance and Stability with Temporal Ensembles 2023 2nd Conference on Lifelong Learning Agents
Guillermo Torres; Jan Rodríguez Dueñas; Sonia Baeza; Antoni Rosell; Carles Sanchez; Debora Gil Prediction of Malignancy in Lung Cancer using several strategies for the fusion of Multi-Channel Pyradiomics Images 2023 7th Workshop on Digital Image Processing for Medical and Automotive Industry in the framework of SYNASC 2023
Yi Xiao; Felipe Codevilla; Diego Porres; Antonio Lopez Scaling Vision-Based End-to-End Autonomous Driving with Multi-View Attention Learning 2023 International Conference on Intelligent Robots and Systems
Dipam Goswami; Yuyang Liu ; Bartlomiej Twardowski; Joost Van de Weijer FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning 2023 37th Annual Conference on Neural Information Processing Systems
Kai Wang; Fei Yang; Shiqi Yang; Muhammad Atif Butt; Joost Van de Weijer Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing 2023 37th Annual Conference on Neural Information Processing Systems
ChuanMing Fang; Kai Wang; Joost Van de Weijer IterInv: Iterative Inversion for Pixel-Level T2I Models 2023 37th Annual Conference on Neural Information Processing Systems
Zahra Raisi-Estabragh; Carlos Martin-Isla; Louise Nissen; Liliana Szabo; Victor M. Campello; Sergio Escalera; Simon Winther; Morten Bottcher; Karim Lekadir; and Steffen E. Petersen Radiomics analysis enhances the diagnostic performance of CMR stress perfusion: a proof-of-concept study using the Dan-NICAD dataset 2023 Frontiers in Cardiovascular Medicine
Albin Soutif; Antonio Carta; Andrea Cossu; Julio Hurtado; Hamed Hemati; Vincenzo Lomonaco; Joost Van de Weijer A Comprehensive Empirical Evaluation on Online Continual Learning 2023 Visual Continual Learning (ICCV-W)