1 citations · 3 across the 8 of their papers we have counts for
10 papers
INT-DTT+: Low-Complexity Data-Dependent Transforms for Video Coding
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega +4
Discrete trigonometric transforms (DTTs), such as the DCT-2 and the DST-7, are widely used in video codecs for their balance between coding performance and computational efficiency…
Leveraging Video Coding Knowledge for Deep Video Enhancement
Thong Bach, Thuong Nguyen Canh, Van-Quang Nguyen
Recent advancements in deep learning techniques have significantly improved the quality of compressed videos. However, previous approaches have not fully exploited the motion chara…
Human-Imperceptible Identification with Learnable Lensless Imaging
Thuong Nguyen Canh, Trung Thanh Ngo, Hajime Nagahara
Lensless imaging protects visual privacy by capturing heavily blurred images that are imperceptible for humans to recognize the subject but contain enough information for machines…
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Meisong Zheng +75
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the…
Multi-Scale Deep Compressive Imaging
Thuong Nguyen Canh, Byeungwoo Jeon
Recently, deep learning-based compressive imaging (DCI) has surpassed the conventional compressive imaging in reconstruction quality and faster running time. While multi-scale has…
Restricted Structural Random Matrix for Compressive Sensing
Thuong Nguyen Canh, Byeungwoo Jeon
Compressive sensing (CS) is well-known for its unique functionalities of sensing, compressing, and security (i.e. CS measurements are equally important). However, there is a tradeo…