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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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Pseudo-Sequence-Based 2-D Hierarchical Coding Structure for Light-Field Image Compression

TL;DR: Zhang et al. as discussed by the authors proposed a pseudo-sequence-based two-dimensional (2D) hierarchical coding structure for light-field image compression, which decomposes the light field image into multiple views and organize them into a 2-D coding structure according to the spatial coordinates of the corresponding microlens.
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Dynamic Pseudo Label Decoding for Continuous Sign Language Recognition

TL;DR: This work proposes a dynamic pseudo label decoding method to find a reasonable alignment path via dynamic-programming and generates pseudo labels which conform to natural word order of sign language.
Proceedings ArticleDOI

Comparative Deep Learning of Hybrid Representations for Image Recommendations

TL;DR: Zhang et al. as discussed by the authors designed a dual-net deep network, in which the two sub-networks map input images and preferences of users into a same latent semantic space, and then the distances between images and users in the latent space are calculated to make decisions.
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Error Resilient Mode Decision in Scalable Video Coding

TL;DR: A loss-aware rate-distortion optimized macroblock mode decision algorithm for scalable video coding, wherein more macroblock coding modes than intra and inter are involved, which has been adopted into the joint scalable video model by the joint video team.
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$\lambda $ -Domain Optimal Bit Allocation Algorithm for High Efficiency Video Coding

TL;DR: This paper designs both picture-level and basic-unit-level bit allocation algorithms based on the fundamental R-D optimization theory to take full advantage of the content-guided principles and demonstrates that they can achieve an obviousR-D performance improvement with a smaller bitrate control error.