331 citations · 2k across the 18 of their papers we have counts for
18 papers
An AFDM-Based Integrated Sensing and Communications
Yuanhan Ni, Zulin Wang, Peng Yuan +1
This paper considers an affine frequency division multiplexing (AFDM)-based integrated sensing and communications (ISAC) system, where the AFDM waveform is used to simultaneously c…
Blind VQA on 360° Video via Progressively Learning from Pixels, Frames and Video
Li Yang, Mai Xu, Shengxi Li +2
Blind visual quality assessment (BVQA) on 360{\textdegree} video plays a key role in optimizing immersive multimedia systems. When assessing the quality of 360{\textdegree} video,…
Removing Rain in Videos: A Large-scale Database and A Two-stream ConvLSTM Approach
Tie Liu, Mai Xu, Zulin Wang
Rain removal has recently attracted increasing research attention, as it is able to enhance the visibility of rain videos. However, the existing learning based rain removal approac…
Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning
Mai Xu, Li Yang, Xiaoming Tao +2
When watching omnidirectional images (ODIs), subjects can access different viewports by moving their heads. Therefore, it is necessary to predict subjects' head fixations on ODIs.…
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC
Tianyi Li, Mai Xu, Ren Yang +1
High efficiency video coding (HEVC) has brought outperforming efficiency for video compression. To reduce the compression artifacts of HEVC, we propose a DenseNet based approach as…
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
Qunliang Xing, Zhenyu Guan, Mai Xu +3
The past few years have witnessed great success in applying deep learning to enhance the quality of compressed image/video. The existing approaches mainly focus on enhancing the qu…
Understanding and Predicting the Memorability of Outdoor Natural Scenes
Jiaxin Lu, Mai Xu, Ren Yang +1
Memorability measures how easily an image is to be memorized after glancing, which may contribute to designing magazine covers, tourism publicity materials, and so forth. Recent wo…
What Makes Natural Scene Memorable?
Jiaxin Lu, Mai Xu, Ren Yang +1
Recent studies on image memorability have shed light on the visual features that make generic images, object images or face photographs memorable. However, a clear understanding an…
Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video: A Large-Scale Dataset and a Deep Learning Model
Chen Li, Mai Xu, Xinzhe Du +1
Omnidirectional video enables spherical stimuli with the viewing range. Meanwhile, only the viewport region of omnidirectional video can be seen by the obse…
Multi-Frame Quality Enhancement for Compressed Video
Ren Yang, Mai Xu, Zulin Wang +1
The past few years have witnessed great success in applying deep learning to enhance the quality of compressed image/video. The existing approaches mainly focus on enhancing the qu…
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach
Yuhang Song, Mai Xu, Jianyi Wang +3
Panoramic video provides immersive and interactive experience by enabling humans to control the field of view (FoV) through head movement (HM). Thus, HM plays a key role in modelin…
Reducing Complexity of HEVC: A Deep Learning Approach
Mai Xu, Tianyi Li, Zulin Wang +3
High Efficiency Video Coding (HEVC) significantly reduces bit-rates over the proceeding H.264 standard but at the expense of extremely high encoding complexity. In HEVC, the quad-t…
Enhancing Quality for HEVC Compressed Videos
Ren Yang, Mai Xu, Tie Liu +2
The latest High Efficiency Video Coding (HEVC) standard has been increasingly applied to generate video streams over the Internet. However, HEVC compressed videos may incur severe…
Assessing Visual Quality of Omnidirectional Videos
Mai Xu, Chen Li, Zulin Wang +2
In contrast with traditional video, omnidirectional video enables spherical viewing direction with support for head-mounted displays, providing an interactive and immersive experie…
Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM
Lai Jiang, Mai Xu, Zulin Wang
Over the past few years, deep neural networks (DNNs) have exhibited great success in predicting the saliency of images. However, there are few works that apply DNNs to predict the…
Saliency-Guided Complexity Control for HEVC Decoding
Ren Yang, Mai Xu, Zulin Wang +2
The latest High Efficiency Video Coding (HEVC) standard significantly improves coding efficiency over its previous video coding standards. The expense of such improvement is enormo…
A Low-Complexity Encoding of Quasi-Cyclic Codes Based on Galois Fourier Transform
Qin Huang, Li Tang, Zulin Wang +2
The encoding complexity of a general (en,ek) quasi-cyclic code is O[(e^2)(n-k)k]. This paper presents a novel low-complexity encoding algorithm for quasi-cyclic (QC) codes based on…
Low-Density Arrays of Circulant Matrices: Rank and Row-Redundancy Analysis, and Quasi-Cyclic LDPC Codes
Qin Huang, Keke Liu, Zulin Wang
This paper is concerned with general analysis on the rank and row-redundancy of an array of circulants whose null space defines a QC-LDPC code. Based on the Fourier transform and t…