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20182025
most citedFast-SCNN: Fast Semantic Segmentation Network

367 citations · 367 across the 2 of their papers we have counts for

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cs.CV2025

LoRAtorio: An intrinsic approach to LoRA Skill Composition

Niki Foteinopoulou, Ignas Budvytis, Stephan Liwicki

Low-Rank Adaptation (LoRA) has become a widely adopted technique in text-to-image diffusion models, enabling the personalisation of visual concepts such as characters, styles, and…

cs.CV2024

LUCES-MV: A Multi-View Dataset for Near-Field Point Light Source Photometric Stereo

Fotios Logothetis, Ignas Budvytis, Stephan Liwicki +1

The biggest improvements in Photometric Stereo (PS) field has recently come from adoption of differentiable volumetric rendering techniques such as NeRF or Neural SDF achieving imp…

cs.CV2019

Orientation-aware Semantic Segmentation on Icosahedron Spheres

Chao Zhang, Stephan Liwicki, William Smith +1

We address semantic segmentation on omnidirectional images, to leverage a holistic understanding of the surrounding scene for applications like autonomous driving systems. For the…

cs.CV2019367 cited

Fast-SCNN: Fast Semantic Segmentation Network

Rudra P K Poudel, Stephan Liwicki, Roberto Cipolla

The encoder-decoder framework is state-of-the-art for offline semantic image segmentation. Since the rise in autonomous systems, real-time computation is increasingly desirable. In…

cs.CV2018

ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time

Rudra P K Poudel, Ujwal Bonde, Stephan Liwicki +1

Modern deep learning architectures produce highly accurate results on many challenging semantic segmentation datasets. State-of-the-art methods are, however, not directly transfera…