Driver Monitoring Systems (DMSs) are crucial for safe hand-over actions ...
Driver distractions are known to be the dominant cause of road accidents...
We propose a solution to detect anomalous events in videos without the n...
Perception of auditory events is inherently multimodal relying on both a...
Video anomaly detection is a challenging task because most anomalies are...
State-of-the-art crowd counting models follow an encoder-decoder approac...
There exists an intrinsic relationship between the spectral sensitivity ...
The recent pandemic has changed the way we see education. It is not
surp...
With the increasing popularity of convolutional neural networks (CNNs),
...
This paper introduces a joint learning architecture (JLA) for multiple o...
We introduce the problem of multi-camera trajectory forecasting (MCTF), ...
Driven by recent advances in object detection with deep neural networks,...
Deep-learning–centric reversible steganography has emerged as a
promisin...
Video anomaly detection is a challenging task not only because it involv...
The vanilla Generative Adversarial Networks (GAN) are commonly used to
g...
We propose a computational framework for ranking images (group photos in...
In contemporary lossy image coding applications, a desired aim is to
dec...
Due to the spectral sensitivity phenomenon of the Human Visual System (H...
We introduce the task of multi-camera trajectory forecasting (MCTF), whe...
This paper introduces the problem of multiple object forecasting (MOF), ...
Reliable anticipation of pedestrian trajectory is imperative for the
ope...
Convolutional Neural Networks (CNN) have been applied to age-related res...
There is an increasing consumer demand for high bit-depth 4:4:4 HD video...
The JCT-VC standardized Screen Content Coding (SCC) extension in the HEV...
With a large proportion of people carrying location-aware smartphones, w...
HEVC contains an option to enable custom quantization matrices, which ar...