157 citations · 279 across the 9 of their papers we have counts for
18 papers
End-to-End Image Compression with Probabilistic Decoding
Haichuan Ma, Dong Liu, Cunhui Dong +2
Lossy image compression is a many-to-one process, thus one bitstream corresponds to multiple possible original images, especially at low bit rates. However, this nature was seldom…
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
Yujing Hu, Weixun Wang, Hangtian Jia +5
Reward shaping is an effective technique for incorporating domain knowledge into reinforcement learning (RL). Existing approaches such as potential-based reward shaping normally ma…
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…
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement
Yang Wang, Yang Cao, Zheng-Jun Zha +4
Contrast enhancement and noise removal are coupled problems for low-light image enhancement. The existing Retinex based methods do not take the coupling relation into consideration…
LinesToFacePhoto: Face Photo Generation from Lines with Conditional Self-Attention Generative Adversarial Network
Yuhang Li, Xuejin Chen, Feng Wu +1
In this paper, we explore the task of generating photo-realistic face images from lines. Previous methods based on conditional generative adversarial networks (cGANs) have shown th…
Generalized Fault-Tolerance Topology Generation for Application Specific Network-on-Chips
Song Chen, Mengke Ge, Zhigang Li +3
The Network-on-Chips is a promising candidate for addressing communication bottlenecks in many-core processors and neural network processors. In this work, we consider the generali…