Virtual try-on, i.e making people virtually try new garments, is an acti...
Talking face generation has historically struggled to produce head movem...
Multi-pose virtual try-on (MPVTON) aims to fit a target garment onto a p...
Generalized Few-shot Semantic Segmentation (GFSS) aims to segment each i...
Interactive garment retrieval (IGR) aims to retrieve a target garment im...
Image-based virtual try-on aims to fit an in-shop garment into a clothed...
Graph neural networks (GNNs) have been used to tackle the few-shot learn...
Text-based person search (TBPS) aims at retrieving a target person from ...
A few-shot semantic segmentation model is typically composed of a CNN
en...
A lifespan face synthesis (LFS) model aims to generate a set of
photo-re...
A layout to image (L2I) generation model aims to generate a complicated ...
With the growing popularity of cloud gaming and cloud virtual reality (V...
Automatic captioning of images is a task that combines the challenges of...
Recently, data-driven deep saliency models have achieved high performanc...
In this work, we present a novel multi-modal dataset consisting of eye
m...
In this paper, we apply the attention mechanism to autonomous driving fo...
Saliency prediction is a well studied problem in computer vision. Early
...
Deep convolutional neural networks have demonstrated high performances f...
Deep convolutional neural networks have achieved impressive performance ...