Computer Vision - ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVI

The 39-volume set, consisting of the LNCS books 13661 to 13699, contains the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The papers cover various topics in computer vision, machine learning, deep neural networks, and more, with 1645 papers selected from 5804 submissions.

Format: Paperback / softback
Length: 759 pages
Publication date: 01 November 2022
Publisher: Springer International Publishing AG

The 17th European Conference on Computer Vision (ECCV) 2022, held in Tel Aviv, Israel, from October 23 to 27, 2022, resulted in a remarkable collection of 39 volumes, comprising the LNCS books 13661 to 13699. This comprehensive set serves as a testament to the cutting-edge research and innovation in the field of computer vision.

The conference received a staggering 5804 submissions, showcasing the immense interest and dedication of researchers worldwide. Out of these submissions, a rigorous review process resulted in the selection of 1645 exceptional papers that cover a wide range of topics within computer vision.

The papers presented at ECCV 2022 delve into diverse areas such as computer vision, machine learning, deep neural networks, reinforcement learning, object recognition, image classification, image processing, object detection, semantic segmentation, human pose estimation, 3D reconstruction, stereo vision, computational photography, neural networks, image coding, image reconstruction, object recognition, motion estimation, and more.

This extraordinary body of work represents the state-of-the-art in computer vision research, showcasing the latest advancements, techniques, and applications. The contributions made by the authors and presenters at ECCV 2022 have the potential to shape the future of this field and drive technological innovation across various industries.

The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022.

The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

The 17th European Conference on Computer Vision (ECCV) 2022, held in Tel Aviv, Israel, from October 23 to 27, 2022, resulted in a remarkable collection of 39 volumes, comprising the LNCS books 13661 to 13699. This comprehensive set serves as a testament to the cutting-edge research and innovation in the field of computer vision.

The conference received a staggering 5804 submissions, showcasing the immense interest and dedication of researchers worldwide. Out of these submissions, a rigorous review process resulted in the selection of 1645 exceptional papers that cover a wide range of topics within computer vision.

The papers presented at ECCV 2022 delve into diverse areas such as computer vision, machine learning, deep neural networks, reinforcement learning, object recognition, image classification, image processing, object detection, semantic segmentation, human pose estimation, 3D reconstruction, stereo vision, computational photography, neural networks, image coding, image reconstruction, object recognition, motion estimation, and more.

This extraordinary body of work represents the state-of-the-art in computer vision research, showcasing the latest advancements, techniques, and applications. The contributions made by the authors and presenters at ECCV 2022 have the potential to shape the future of this field and drive technological innovation across various industries.

Weight: 1229g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031198083
Edition number: 1st ed. 2022