... diffusion probabilistic models , Adv . Neural Inf . Process . Syst . 33 ( 2020 ) 6840-6851 . [ 248 ] S. Saxena , C ... monocular depth estimation , in : Advances in Neural Information Processing Systems , NeurIPS , 2023 . [ 249 ] P ...

As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement.

This book provides an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing.

At the end of the review, three case studies are presented to illustrate the proposed grammar. A Stochastic Grammar of Images is an important contribution to the literature on structured statistical models in computer vision.

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods.

Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world.

This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers?

CVPR is the premier annual computer vision event comprising the main conference and several co located workshops and short courses With its high quality and low cost, it provides an exceptional value for students, academics and industry ...

An in-depth description of the state-of-the-art of 3D shape analysis techniques and their applications This book discusses the different topics that come under the title of "3D shape analysis".

The review confines itself to the earlier stages of motion, focusing on tracking and motion synthesis. There is an extensive discussion of open issues.