20 citations · 23 across the 7 of their papers we have counts for
9 papers
Towards Better Exploration in Sequential Test-Time Scaling
Joseph Rance, Fabio Pizzati, Juil Sock +4
Test-time scaling improves language model reasoning by spending additional compute at inference. However, both classes of existing methods often fail to continue improving over lon…
Towards Reliable Identification of Diffusion-based Image Manipulations
Alex Costanzino, Woody Bayliss, Juil Sock +5
Changing facial expressions, gestures, or background details may dramatically alter the meaning conveyed by an image. Notably, recent advances in diffusion models greatly improve t…
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…
Multi-encoder Network for Parameter Reduction of a Kernel-based Interpolation Architecture
Issa Khalifeh, Marc Gorriz Blanch, Ebroul Izquierdo +1
Video frame interpolation involves the synthesis of new frames from existing ones. Convolutional neural networks (CNNs) have been at the forefront of the recent advances in this fi…
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…
Spatial Information Refinement for Chroma Intra Prediction in Video Coding
Chengyi Zou, Shuai Wan, Tiannan Ji +3
Video compression benefits from advanced chroma intra prediction methods, such as the Cross-Component Linear Model (CCLM) which uses linear models to approximate the relationship b…
Towards Transparent Application of Machine Learning in Video Processing
Luka Murn, Marc Gorriz Blanch, Maria Santamaria +2
Machine learning techniques for more efficient video compression and video enhancement have been developed thanks to breakthroughs in deep learning. The new techniques, considered…
Attention-based Stylisation for Exemplar Image Colourisation
Marc Gorriz Blanch, Issa Khalifeh, Alan Smeaton +2
Exemplar-based colourisation aims to add plausible colours to a grayscale image using the guidance of a colour reference image. Most of the existing methods tackle the task as a st…
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding
Marc Górriz, Saverio Blasi, Alan F. Smeaton +2
Neural networks can be successfully used to improve several modules of advanced video coding schemes. In particular, compression of colour components was shown to greatly benefit f…