activity
20172023
most citedScene recognition with CNNs: objects, scales and dataset bias

160 citations · 722 across the 34 of their papers we have counts for

collaborators

43 papers

cs.CV2023

Trust your Good Friends: Source-free Domain Adaptation by Reciprocal Neighborhood Clustering

Shiqi Yang, Yaxing Wang, Joost van de Weijer +3

Domain adaptation (DA) aims to alleviate the domain shift between source domain and target domain. Most DA methods require access to the source data, but often that is not possible…

cs.CV2022

SlimSeg: Slimmable Semantic Segmentation with Boundary Supervision

Danna Xue, Fei Yang, Pei Wang +4

Accurate semantic segmentation models typically require significant computational resources, inhibiting their use in practical applications. Recent works rely on well-crafted light…

cs.CV2022★ 1 cited

PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation- and Attention-based Network

Saiping Zhang, Luis Herranz, Marta Mrak +3

In this paper we propose a generative adversarial network (GAN) framework to enhance the perceptual quality of compressed videos. Our framework includes attention and adaptation to…

eess.IV2022

Slimmable Video Codec

Zhaocheng Liu, Luis Herranz, Fei Yang +4

Neural video compression has emerged as a novel paradigm combining trainable multilayer neural networks and machine learning, achieving competitive rate-distortion (RD) performance…

eess.IV2022

DCNGAN: A Deformable Convolutional-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video

Saiping Zhang, Luis Herranz, Marta Mrak +3

In this paper, we propose a deformable convolution-based generative adversarial network (DCNGAN) for perceptual quality enhancement of compressed videos. DCNGAN is also adaptive to…

cs.CV2022

Main Product Detection with Graph Networks for Fashion

Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa +2

Computer vision has established a foothold in the online fashion retail industry. Main product detection is a crucial step of vision-based fashion product feed parsing pipelines, f…