activity
20222025
most citedMobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2025

GSta: Efficient Training Scheme with Siestaed Gaussians for Monocular 3D Scene Reconstruction

Anil Armagan, Albert Saà-Garriga, Bruno Manganelli +2

Gaussian Splatting (GS) is a popular approach for 3D reconstruction, mostly due to its ability to converge reasonably fast, faithfully represent the scene and render (novel) views…

cs.CV2025

Trick-GS: A Balanced Bag of Tricks for Efficient Gaussian Splatting

Anil Armagan, Albert Saà-Garriga, Bruno Manganelli +2

Gaussian splatting (GS) for 3D reconstruction has become quite popular due to their fast training, inference speeds and high quality reconstruction. However, GS-based reconstructio…

cs.CV2024

Finding Waldo: Towards Efficient Exploration of NeRF Scene Spaces

Evangelos Skartados, Mehmet Kerim Yucel, Bruno Manganelli +2

Neural Radiance Fields (NeRF) have quickly become the primary approach for 3D reconstruction and novel view synthesis in recent years due to their remarkable performance. Despite t…

cs.CV2023

TrickVOS: A Bag of Tricks for Video Object Segmentation

Evangelos Skartados, Konstantinos Georgiadis, Mehmet Kerim Yucel +5

Space-time memory (STM) network methods have been dominant in semi-supervised video object segmentation (SVOS) due to their remarkable performance. In this work, we identify three…

cs.CV2023

LP-IOANet: Efficient High Resolution Document Shadow Removal

Konstantinos Georgiadis, M. Kerim Yucel, Evangelos Skartados +4

Document shadow removal is an integral task in document enhancement pipelines, as it improves visibility, readability and thus the overall quality. Assuming that the majority of pr…

cs.CV2023★ 1 cited

MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation

Roy Miles, Mehmet Kerim Yucel, Bruno Manganelli +1

This paper tackles the problem of semi-supervised video object segmentation on resource-constrained devices, such as mobile phones. We formulate this problem as a distillation task…

cs.CV2022

Adaptive Mask-based Pyramid Network for Realistic Bokeh Rendering

Konstantinos Georgiadis, Albert Saà-Garriga, Mehmet Kerim Yucel +2

Bokeh effect highlights an object (or any part of the image) while blurring the rest of the image, and creates a visually pleasant artistic effect. Due to the sensor-based limitati…