1 code implementation • ECCV 2020 • Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
Inspired by optimization techniques, we propose a novel meta-learning algorithm with gradient modulation to encourage fast-adaptation of neural networks in the absence of abundant data.
no code implementations • 24 Dec 2023 • Christian Simon, Sen He, Juan-Manuel Perez-Rua, Mengmeng Xu, Amine Benhalloum, Tao Xiang
Solving image-to-3D from a single view is an ill-posed problem, and current neural reconstruction methods addressing it through diffusion models still rely on scene-specific optimization, constraining their generalization capability.
no code implementations • 13 Dec 2023 • Abdelmalek Mouazer, Romain Léguillon, Nada Boudegzdame, Thibaud Levrard, Yoann Le Bars, Christian Simon, Brigitte Séroussi, Julien Grosjean, Romain Lelong, Catherine Letord, Stéfan Darmoni, Matthieu Schuers, Karima Sedki, Sophie Dubois, Hector Falcoff, Rosy Tsopra, Jean-Baptiste Lamy
Conclusions: The association of guidelines implementation with visual presentation of knowledge is a promising approach for managing polypharmacy.
no code implementations • 1 Nov 2023 • Joshua Santoso, Christian Simon, Williem Pao
In experiments, we thoroughly assess and compare our proposed method against state-of-the-arts on various scene text datasets, then provide extensive ablation studies for each granularity to analyze our performance gain.
Optical Character Recognition Optical Character Recognition (OCR) +1
no code implementations • 9 Oct 2023 • Yuren Cong, Mengmeng Xu, Christian Simon, Shoufa Chen, Jiawei Ren, Yanping Xie, Juan-Manuel Perez-Rua, Bodo Rosenhahn, Tao Xiang, Sen He
In this paper, for the first time, we introduce optical flow into the attention module in the diffusion model's U-Net to address the inconsistency issue for text-to-video editing.
no code implementations • 31 Jul 2023 • Kaushik Roy, Christian Simon, Peyman Moghadam, Mehrtash Harandi
To mitigate forgetting prior knowledge, we propose a novel knowledge distillation technique that takes into the account the manifold structure of the latent/output space of a neural network in learning novel tasks.
no code implementations • CVPR 2022 • Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker
Humans have the ability to accumulate knowledge of new tasks in varying conditions, but deep neural networks often suffer from catastrophic forgetting of previously learned knowledge after learning a new task.
no code implementations • 17 Dec 2021 • Matteo Torcoli, Christian Simon, Jouni Paulus, Davide Straninger, Alfred Riedel, Volker Koch, Stefan Wits, Daniela Rieger, Harald Fuchs, Christian Uhle, Stefan Meltzer, Adrian Murtaza
To address this, Fraunhofer IIS has developed a deep-learning solution called Dialog+, capable of enabling speech level personalization also for content with only the final audio tracks available.
no code implementations • 26 Oct 2021 • Christian Simon, Piotr Koniusz, Mehrtash Harandi
Even with the luxury of having abundant data, multi-label classification is widely known to be a challenging task to address.
no code implementations • 23 Oct 2021 • Christian Simon, Piotr Koniusz, Lars Petersson, Yan Han, Mehrtash Harandi
Our empirical evaluations show that the noise injecting operation does not degrade the performance of the NAS algorithm if the data is indeed clean.
1 code implementation • CVPR 2021 • Christian Simon, Piotr Koniusz, Mehrtash Harandi
This in practice is done by minimizing the dissimilarity between current and previous responses of the network one way or another.
no code implementations • CVPR 2021 • Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
Few-shot learning aims to correctly recognize query samples from unseen classes given a limited number of support samples, often by relying on global embeddings of images.
no code implementations • ICCV 2021 • Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi
In this paper, we propose addressing this problem using a mixture of subspaces.
1 code implementation • CVPR 2020 • Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi
In this paper, we provide a framework for few-shot learning by introducing dynamic classifiers that are constructed from few samples.
Ranked #14 on Few-Shot Image Classification on CIFAR-FS 5-way (1-shot)
no code implementations • ICLR 2019 • Christian Simon, Piotr Koniusz, Mehrtash Harandi
Generalization from limited examples, usually studied under the umbrella of meta-learning, equips learning techniques with the ability to adapt quickly in dynamical environments and proves to be an essential aspect of lifelong learning.
no code implementations • CVPR 2015 • Christian Simon, In Kyu Park
In this paper, we propose a novel method to remove the reflection on the windscreen in the in-vehicle black box videos.
no code implementations • 3 Dec 2013 • Jean-Baptiste Lamy, Vahid Ebrahiminia, Brigitte Seroussi, Jacques Bouaud, Christian Simon, Madeleine Favre, Hector Falcoff, Alain Venot
Clinical decision support systems have been developed to help physicians to take clinical guidelines into account during consultations.