In the current golden age of multimedia, human visualization is no longer the single main
target, with the final consumer often being a machine which performs some processing or …

Despite its novelty, learning-based coding for images and point clouds is already
outperforming some of the best long-standing conventional codecs. In addition to its rising …

Zero-shot image classification refers to the use of labeled images to train a classification
model that can correctly classify images of unseen categories. Traditional zero-shot methods …

Numerous applications today rely on artificial intelligence over images. Image AI is,
however, extremely expensive. In particular, the inference cost of image AI dominates the …

This paper proposes a new algorithm for adaptive deep image compression (DIC) that can
compress images for different purposes or contexts at different rates. The algorithm can …

Efficient point cloud coding has become increasingly critical for multiple applications such as
virtual reality, autonomous driving, and digital twin systems, where rich and interactive 3D …

Traditional image and video compression methods are designed to maintain the quality of
human visual perception, which makes it necessary to reconstruct the image or video before …

Deep learning (DL) based tools have recently reached performance levels similar to state-of-
the-art hand-crafted methods for Point Cloud (PC) coding and classification. In 2022, JPEG …

Due to the severe class imbalance between head classes and tail classes of long-tailed
data, deep learning algorithms face significant challenges when dealing with long-tailed …

Deep neural networks are vulnerable to adversarial examples which are generated by
adding carefully crafted perturbations on benign examples. Some research works explore …