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of 13 682
pro vyhledávání: '"A., Rosin"'
Geometric estimation is required for scene understanding and analysis in panoramic 360{\deg} images. Current methods usually predict a single feature, such as depth or surface normal. These methods can lack robustness, especially when dealing with in
Externí odkaz:
http://arxiv.org/abs/2411.01749
Autor:
Tang, Yizhe, Wang, Yue, Hu, Teng, Yi, Ran, Tan, Xin, Ma, Lizhuang, Lai, Yu-Kun, Rosin, Paul L.
Stroke-based Rendering (SBR) aims to decompose an input image into a sequence of parameterized strokes, which can be rendered into a painting that resembles the input image. Recently, Neural Painting methods that utilize deep learning and reinforceme
Externí odkaz:
http://arxiv.org/abs/2410.16418
Autor:
Rosin, Theresa Pekarek, Hassouna, Vanessa, Sun, Xiaowen, Krohm, Luca, Kordt, Henri-Leon, Beetz, Michael, Wermter, Stefan
To facilitate natural and intuitive interactions with diverse user groups in real-world settings, social robots must be capable of addressing the varying requirements and expectations of these groups while adapting their behavior based on user feedba
Externí odkaz:
http://arxiv.org/abs/2410.11377
SVG (Scalable Vector Graphics) is a widely used graphics format that possesses excellent scalability and editability. Image vectorization, which aims to convert raster images to SVGs, is an important yet challenging problem in computer vision and gra
Externí odkaz:
http://arxiv.org/abs/2406.09794
Consumer demand forecasting is of high importance for many e-commerce applications, including supply chain optimization, advertisement placement, and delivery speed optimization. However, reliable time series sales forecasting for e-commerce is diffi
Externí odkaz:
http://arxiv.org/abs/2405.13995
In this paper, we propose Image Downscaling Assessment by Rate-Distortion (IDA-RD), a novel measure to quantitatively evaluate image downscaling algorithms. In contrast to image-based methods that measure the quality of downscaled images, ours is pro
Externí odkaz:
http://arxiv.org/abs/2403.15139
The advancement of knowledge distillation has played a crucial role in enabling the transfer of knowledge from larger teacher models to smaller and more efficient student models, and is particularly beneficial for online and resource-constrained appl
Externí odkaz:
http://arxiv.org/abs/2402.05305
Autor:
Rosin, David, Kässinger, Johannes, Yu, Xingyao, Avci, Okan, Bleiler, Christian, Röhrle, Oliver
This paper presents a novel neural network architecture for the purpose of pervasive visualisation of a 3D human upper limb musculoskeletal system model. Bringing simulation capabilities to resource-poor systems like mobile devices is of growing inte
Externí odkaz:
http://arxiv.org/abs/2312.03957
Semi-supervised learning aims to help reduce the cost of the manual labelling process by leveraging valuable features extracted from a substantial pool of unlabeled data alongside a limited set of labelled data during the training phase. Since pixel-
Externí odkaz:
http://arxiv.org/abs/2311.13716
Vector graphics are widely used in graphical designs and have received more and more attention. However, unlike raster images which can be easily obtained, acquiring high-quality vector graphics, typically through automatically converting from raster
Externí odkaz:
http://arxiv.org/abs/2311.05276