17 citations · 156 across the 40 of their papers we have counts for
9 papers · 1 filter
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem
Ruiyuan Lin, Sheng Liu, Jun Jiang +3
Recovering unknown, missing, damaged, distorted, or lost information in DCT coefficients is a common task in multiple applications of digital image processing, including image comp…
GENHOP: An Image Generation Method Based on Successive Subspace Learning
Xuejing Lei, Wei Wang, C. -C. Jay Kuo
Being different from deep-learning-based (DL-based) image generation methods, a new image generative model built upon successive subspace learning principle is proposed and named G…
Statistical Attention Localization (SAL): Methodology and Application to Object Classification
Yijing Yang, Vasileios Magoulianitis, Xinyu Wang +1
A statistical attention localization (SAL) method is proposed to facilitate the object classification task in this work. SAL consists of three steps: 1) preliminary attention windo…
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network
Min Zhang, Zhihong Pan, Xin Zhou +1
Normalizing flow models have been used successfully for generative image super-resolution (SR) by approximating complex distribution of natural images to simple tractable distribut…
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences
Zhiruo Zhou, Hongyu Fu, Suya You +1
Supervised and unsupervised deep trackers that rely on deep learning technologies are popular in recent years. Yet, they demand high computational complexity and a high memory cost…
GreenBIQA: A Lightweight Blind Image Quality Assessment Method
Zhanxuan Mei, Yun-Cheng Wang, Xingze He +1
Deep neural networks (DNNs) achieve great success in blind image quality assessment (BIQA) with large pre-trained models in recent years. Their solutions cannot be easily deployed…