9 citations · 12 across the 6 of their papers we have counts for
6 papers
Adaptive Framework for Ambient Intelligence in Rehabilitation Assistance
Gábor Baranyi, Zsolt Csibi, Kristian Fenech +4
This paper introduces the Ambient Intelligence Rehabilitation Support (AIRS) framework, an advanced artificial intelligence-based solution tailored for home rehabilitation environm…
Skel3D: Skeleton Guided Novel View Synthesis
Aron Fóthi, Bence Fazekas, Natabara Máté Gyöngyössy +1
In this paper, we present an approach for monocular open-set novel view synthesis (NVS) that leverages object skeletons to guide the underlying diffusion model. Building upon a bas…
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images
László Kopácsi, Áron Fóthi, András Lőrincz
Recognition of individual components and keypoint detection supported by instance segmentation is crucial to analyze the behavior of agents on the scene. Such systems could be used…
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness
Dávid Szeghy, Mahmoud Aslan, Áron Fóthi +3
While deep neural networks are sensitive to adversarial noise, sparse coding using the Basis Pursuit (BP) method is robust against such attacks, including its multi-layer extension…
Fine-tuning deep CNN models on specific MS COCO categories
Daniel Sonntag, Michael Barz, Jan Zacharias +4
Fine-tuning of a deep convolutional neural network (CNN) is often desired. This paper provides an overview of our publicly available py-faster-rcnn-ft software library that can be…
Cognitive Deep Machine Can Train Itself
András Lőrincz, Máté Csákvári, Áron Fóthi +3
Machine learning is making substantial progress in diverse applications. The success is mostly due to advances in deep learning. However, deep learning can make mistakes and its ge…