348 citations · 1.4k across the 60 of their papers we have counts for
14 papers · 1 filter
Pareto Multi-Task Learning
Xi Lin, Hui-Ling Zhen, Zhenhua Li +2
Multi-task learning is a powerful method for solving multiple correlated tasks simultaneously. However, it is often impossible to find one single solution to optimize all the tasks…
Non-Cooperative Game Theory Based Rate Adaptation for Dynamic Video Streaming over HTTP
Hui Yuan, Huayong Fu, Ju Liu +2
Dynamic Adaptive Streaming over HTTP (DASH) has demonstrated to be an emerging and promising multimedia streaming technique, owing to its capability of dealing with the variability…
An Ensemble Rate Adaptation Framework for Dynamic Adaptive Streaming Over HTTP
Hui Yuan, Xiaoqian Hu, Junhui Hou +2
Rate adaptation is one of the most important issues in dynamic adaptive streaming over HTTP (DASH). Due to the frequent fluctuations of the network bandwidth and complex variations…
Video Compression Coding via Colorization: A Generative Adversarial Network (GAN)-Based Approach
Zhaoqing Pan, Feng Yuan, Jianjun Lei +1
Under the limited storage, computing and network bandwidth resources, the video compression coding technology plays an important role for visual communication. To efficiently compr…
Spatial and Temporal Consistency-Aware Dynamic Adaptive Streaming for 360-Degree Videos
Hui Yuan, Shiyun Zhao, Junhui Hou +2
The 360-degree video allows users to enjoy the whole scene by interactively switching viewports. However, the huge data volume of the 360-degree video limits its remote application…
Controllable List-wise Ranking for Universal No-reference Image Quality Assessment
Fu-Zhao Ou, Yuan-Gen Wang, Jin Li +2
No-reference image quality assessment (NR-IQA) has received increasing attention in the IQA community since reference image is not always available. Real-world images generally suf…
Semantic Example Guided Image-to-Image Translation
Jialu Huang, Jing Liao, Tak Wu Sam Kwong
Many image-to-image (I2I) translation problems are in nature of high diversity that a single input may have various counterparts. Prior works proposed the multi-modal network that…
Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware Fusion
Jing Jin, Junhui Hou, Jie Chen +3
A densely-sampled light field (LF) is highly desirable in various applications, such as 3-D reconstruction, post-capture refocusing and virtual reality. However, it is costly to ac…
Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain
Ran Wang, Suhe Ye, Ke Li +1
Classifier chain (CC) is a multi-label learning approach that constructs a sequence of binary classifiers according to a label order. Each classifier in the sequence is responsible…
Light Field Super-resolution via Attention-Guided Fusion of Hybrid Lenses
Jing Jin, Junhui Hou, Jie Chen +2
This paper explores the problem of reconstructing high-resolution light field (LF) images from hybrid lenses, including a high-resolution camera surrounded by multiple low-resoluti…
Nested Network with Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images
Chongyi Li, Runmin Cong, Junhui Hou +3
Arising from the various object types and scales, diverse imaging orientations, and cluttered backgrounds in optical remote sensing image (RSI), it is difficult to directly extend…
Compressed Image Quality Assessment Based on Saak Features
Xinfeng Zhang, Sam Kwong, C. -C. Jay Kuo
Compressed image quality assessment plays an important role in image services, especially in image compression applications, which can be utilized as a guidance to optimize image p…
Clustering-aware Graph Construction: A Joint Learning Perspective
Yuheng Jia, Hui Liu, Junhui Hou +1
Graph-based clustering methods have demonstrated the effectiveness in various applications. Generally, existing graph-based clustering methods first construct a graph to represent…
An Underwater Image Enhancement Benchmark Dataset and Beyond
Chongyi Li, Chunle Guo, Wenqi Ren +4
Underwater image enhancement has been attracting much attention due to its significance in marine engineering and aquatic robotics. Numerous underwater image enhancement algorithms…