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Region Proposal Network Pre-Training Helps Label-Efficient Object Detection


Nov 16, 2022
Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh

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* Presented at NeurIPS 2022 Workshop: Self-Supervised Learning - Theory and Practice 

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Content-Diverse Comparisons improve IQA


Nov 09, 2022
William Thong, Jose Costa Pereira, Sarah Parisot, Ales Leonardis, Steven McDonagh

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* Accepted at British Machine Vision Conference (BMVC) 2022 

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CLAD: A realistic Continual Learning benchmark for Autonomous Driving


Oct 07, 2022
Eli Verwimp, Kuo Yang, Sarah Parisot, Hong Lanqing, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars

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Out-of-Distribution Detection with Class Ratio Estimation


Jun 08, 2022
Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yitong Sun, Steven McDonagh

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Re-examining Distillation For Continual Object Detection


Apr 04, 2022
Eli Verwimp, Kuo Yang, Sarah Parisot, Hong Lanqing, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars

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CroMo: Cross-Modal Learning for Monocular Depth Estimation


Mar 28, 2022
Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Aleš Leonardis, Steven McDonagh

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* Accepted for publication at CVPR2022 

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Model-Based Image Signal Processors via Learnable Dictionaries


Jan 10, 2022
Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Aleš Leonardis, Eduardo Pérez-Pellitero

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* AAAI 2022 

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Long-tail Recognition via Compositional Knowledge Transfer


Dec 13, 2021
Sarah Parisot, Pedro M. Esperanca, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li

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Flow Based Models For Manifold Data


Sep 29, 2021
Mingtian Zhang, Yitong Sun, Steven McDonagh, Chen Zhang

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On the Out-of-distribution Generalization of Probabilistic Image Modelling


Sep 04, 2021
Mingtian Zhang, Andi Zhang, Steven McDonagh

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