138 citations · 392 across the 19 of their papers we have counts for
13 papers · 1 filter
StylePrompter: All Styles Need Is Attention
Chenyi Zhuang, Pan Gao, Aljosa Smolic
GAN inversion aims at inverting given images into corresponding latent codes for Generative Adversarial Networks (GANs), especially StyleGAN where exists a disentangled latent spac…
Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality Token
Jinsong Shi, Pan Gao, Aljosa Smolic
Image quality assessment is a fundamental problem in the field of image processing, and due to the lack of reference images in most practical scenarios, no-reference image quality…
Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimation
Sebastian Lutz, Richard Blythman, Koustav Ghosal +3
Monocular 3D human pose estimation technologies have the potential to greatly increase the availability of human movement data. The best-performing models for single-image 2D-3D li…
Image Aesthetics Assessment Using Graph Attention Network
Koustav Ghosal, Aljosa Smolic
Aspect ratio and spatial layout are two of the principal factors determining the aesthetic value of a photograph. But, incorporating these into the traditional convolution-based fr…
ACTION-Net: Multipath Excitation for Action Recognition
Zhengwei Wang, Qi She, Aljosa Smolic
Spatial-temporal, channel-wise, and motion patterns are three complementary and crucial types of information for video action recognition. Conventional 2D CNNs are computationally…
A Study of Efficient Light Field Subsampling and Reconstruction Strategies
Yang Chen, Martin Alain, Aljosa Smolic
Limited angular resolution is one of the main obstacles for practical applications of light fields. Although numerous approaches have been proposed to enhance angular resolution, v…
Fast and Accurate Optical Flow based Depth Map Estimation from Light Fields
Yang Chen, Martin Alain, Aljosa Smolic
Depth map estimation is a crucial task in computer vision, and new approaches have recently emerged taking advantage of light fields, as this new imaging modality captures much mor…
A Study on Visual Perception of Light Field Content
Ailbhe Gill, Emin Zerman, Cagri Ozcinar +1
The effective design of visual computing systems depends heavily on the anticipation of visual attention, or saliency. While visual attention is well investigated for conventional…
STaDA: Style Transfer as Data Augmentation
Xu Zheng, Tejo Chalasani, Koustav Ghosal +2
The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data. Recent research has found that neural style transfer alg…
A Geometry-Sensitive Approach for Photographic Style Classification
Koustav Ghosal, Mukta Prasad, Aljosa Smolic
Photographs are characterized by different compositional attributes like the Rule of Thirds, depth of field, vanishing-lines etc. The presence or absence of one or more of these at…
Aesthetic Image Captioning From Weakly-Labelled Photographs
Koustav Ghosal, Aakanksha Rana, Aljosa Smolic
Aesthetic image captioning (AIC) refers to the multi-modal task of generating critical textual feedbacks for photographs. While in natural image captioning (NIC), deep models are t…
Super-resolution of Omnidirectional Images Using Adversarial Learning
Cagri Ozcinar, Aakanksha Rana, Aljosa Smolic
An omnidirectional image (ODI) enables viewers to look in every direction from a fixed point through a head-mounted display providing an immersive experience compared to that of a…
A Fourier Disparity Layer representation for Light Fields
Mikael Le Pendu, Christine Guillemot, Aljosa Smolic
In this paper, we present a new Light Field representation for efficient Light Field processing and rendering called Fourier Disparity Layers (FDL). The proposed FDL representation…