H
Houqiang Li
Researcher at University of Science and Technology of China
Publications - 612
Citations - 17591
Houqiang Li is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Computer science & Motion compensation. The author has an hindex of 57, co-authored 520 publications receiving 12325 citations. Previous affiliations of Houqiang Li include China University of Science and Technology & Nanjing Medical University.
Papers
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Journal ArticleDOI
An Attention-Information-Based Spatial Adaptation Framework for Browsing Videos via Mobile Devices
TL;DR: In this paper, an attention-information-based spatial adaptation framework is proposed to improve the quality of overall encoding and transcoding of the attention areas in the video frames in order to improve both subjective and objective video qualities.
Journal ArticleDOI
MV2Flow: Learning Motion Representation for Fast Compressed Video Action Recognition
TL;DR: Zhang et al. as mentioned in this paper proposed a network called MV2Flow to learn motion representation efficiently from the signals in the compressed domain, which selects the classical TV-L1 flow as proxy ground truth to guide the learning.
Proceedings ArticleDOI
Depth-level-adaptive view synthesis for 3D video
TL;DR: A depth-level-adaptive view synthesis algorithm is presented to reduce the amount of artifacts and to improve the quality of the synthesized images.
Posted Content
VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion.
TL;DR: VPNet as discussed by the authors aligns and aggregates the point cloud and image data at the ''virtual'' points, with their density lying between that of the 3D points and 2D pixels, they can nicely bridge the resolution gap between the two sensors, and thus preserve more information for processing.
Proceedings ArticleDOI
Adaptive Redundant Picture for Error Resilient Video Coding
TL;DR: Simulation results show that the adaptive redundant picture coding methods can achieve average PSNR improvements around 2 to 4 dB compared to the loss-aware rate distortion optimized (LA-RDO) intra macroblock refresh implemented in H.264/AVC Joint Model (JM).