17 citations · 31 across the 4 of their papers we have counts for
5 papers
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables
Jiacheng Li, Chang Chen, Zhen Cheng +1
The widespread usage of high-definition screens on edge devices stimulates a strong demand for efficient image restoration algorithms. The way of caching deep learning models in a…
Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approach
Zhen Cheng, Tao Wang, Yong Li +3
Existing deep learning based HDRTV reconstruction methods assume one kind of tone mapping operators (TMOs) as the degradation procedure to synthesize SDRTV-HDRTV pairs for supervis…
Advanced Deep Networks for 3D Mitochondria Instance Segmentation
Mingxing Li, Chang Chen, Xiaoyu Liu +3
Mitochondria instance segmentation from electron microscopy (EM) images has seen notable progress since the introduction of deep learning methods. In this paper, we propose two adv…
Camera Trace Erasing
Chang Chen, Zhiwei Xiong, Xiaoming Liu +1
Camera trace is a unique noise produced in digital imaging process. Most existing forensic methods analyze camera trace to identify image origins. In this paper, we address a new l…
Camera Lens Super-Resolution
Chang Chen, Zhiwei Xiong, Xinmei Tian +2
Existing methods for single image super-resolution (SR) are typically evaluated with synthetic degradation models such as bicubic or Gaussian downsampling. In this paper, we invest…