Predicting panoramic indoor lighting from a single perspective image is ...
Agricultural research is essential for increasing food production to mee...
Human action recognition is a quite hugely investigated area where most
...
Product images are essential for providing desirable user experience in ...
In this paper, we proposed an automatic Scenario-based Multi-product
Adv...
Lighting prediction from a single image is becoming increasingly importa...
In the past decade, automatic product description generation for e-comme...
Product copywriting is a critical component of e-commerce recommendation...
Medical image classification is often challenging for two reasons: a lac...
We introduce a novel deep learning based group activity recognition appr...
Most sequential recommendation models capture the features of consecutiv...
In this paper we present the results of our experiments in training and
...
Sophisticated trajectory prediction models that effectively mimic team
d...
Distributed deep learning systems (DDLS) train deep neural network model...
Online Multi-Object Tracking (MOT) from videos is a challenging computer...
Automatically determining three-dimensional human pose from monocular RG...
We study deep learning approaches to inferring numerical coordinates for...
Long Short-Term Memory (LSTM) is a popular approach to boosting the abil...
In many sports, it is useful to analyse video of an athlete in competiti...
Due to recent advances in technology, the recording and analysis of vide...