17 citations · 23 across the 6 of their papers we have counts for
6 papers
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes
Yiyuan Liang, Zhiying Yan, Liqun Chen +4
Vision-centric autonomous driving systems require diverse data for robust training and evaluation, which can be augmented by manipulating object positions and appearances within ex…
Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization Problem
Qiwen Zhu, Yanjie Wang, Shilv Cai +5
Training Single-Image Super-Resolution (SISR) models using pixel-based regression losses can achieve high distortion metrics scores (e.g., PSNR and SSIM), but often results in blur…
Powerful Lossy Compression for Noisy Images
Shilv Cai, Xiaoguo Liang, Shuning Cao +4
Image compression and denoising represent fundamental challenges in image processing with many real-world applications. To address practical demands, current solutions can be categ…
Make Lossy Compression Meaningful for Low-Light Images
Shilv Cai, Liqun Chen, Sheng Zhong +3
Low-light images frequently occur due to unavoidable environmental influences or technical limitations, such as insufficient lighting or limited exposure time. To achieve better vi…
High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation
Shilv Cai, Zhijun Zhang, Liqun Chen +3
Learning-based methods have effectively promoted the community of image compression. Meanwhile, variational autoencoder (VAE) based variable-rate approaches have recently gained mu…
Learning Oriented Remote Sensing Object Detection via Naive Geometric Computing
Yanjie Wang, Xu Zou, Zhijun Zhang +5
Detecting oriented objects along with estimating their rotation information is one crucial step for analyzing remote sensing images. Despite that many methods proposed recently hav…