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
λ domain rate control algorithm for high efficiency video coding.
TL;DR: Experimental results show that the proposed λ-domain rate control can achieve the target bitrates more accurately than the original rate control algorithm in the HEVC reference software as well as obtain significant R-D performance gain.
Proceedings ArticleDOI
Spatial coding for large scale partial-duplicate web image search
TL;DR: This paper proposes a novel scheme, spatial coding, to encode the spatial relationships among local features in an image, and achieves a 53% improvement in mean average precision and 46% reduction in time cost over the baseline bag-of-words approach.
Journal ArticleDOI
Adaptive Directional Lifting-Based Wavelet Transform for Image Coding
TL;DR: Experimental results show that the proposed ADL-based image coding technique outperforms JPEG 2000 in both PSNR and visual quality, with the improvement up to 2.0 dB on images with rich orientation features.
Proceedings ArticleDOI
Sign Language Recognition using 3D convolutional neural networks
TL;DR: A novel 3D convolutional neural network (CNN) which extracts discriminative spatial-temporal features from raw video stream automatically without any prior knowledge, avoiding designing features is proposed.
Proceedings Article
Incorporating BERT into Neural Machine Translation
TL;DR: A new algorithm named BERT-fused model is proposed, in which BERT is first used to extract representations for an input sequence, and then the representations are fused with each layer of the encoder and decoder of the NMT model through attention mechanisms.