367 citations · 620 across the 8 of their papers we have counts for
10 papers
Training-Free Multi-Concept Image Editing
Niki Foteinopoulou, Ignas Budvytis, Stephan Liwicki
Training-free image editing with diffusion models is highly desirable yet is complex and remains a significant challenge. While recent optimisation-based methods achieve strong zer…
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…
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…
DiaLoc: An Iterative Approach to Embodied Dialog Localization
Chao Zhang, Mohan Li, Ignas Budvytis +1
Multimodal learning has advanced the performance for many vision-language tasks. However, most existing works in embodied dialog research focus on navigation and leave the localiza…
ReCoRe: Regularized Contrastive Representation Learning of World Model
Rudra P. K. Poudel, Harit Pandya, Stephan Liwicki +1
While recent model-free Reinforcement Learning (RL) methods have demonstrated human-level effectiveness in gaming environments, their success in everyday tasks like visual navigati…
Self-Supervised Consistent Quantization for Fully Unsupervised Image Retrieval
Guile Wu, Chao Zhang, Stephan Liwicki
Unsupervised image retrieval aims to learn an efficient retrieval system without expensive data annotations, but most existing methods rely heavily on handcrafted feature descripto…
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments
Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel +2
We present NavACL, a method of automatic curriculum learning tailored to the navigation task. NavACL is simple to train and efficiently selects relevant tasks using geometric featu…
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…
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…
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…