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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Proceedings ArticleDOI
Deep Supervised Quantization by Self-Organizing Map
TL;DR: The method integrates the Convolutional Neural Networks and Self-Organizing Map into a unified deep architecture that can be directly applied to classification task and visualization with little modification, and promising performances are demonstrated on these tasks in the experiments.
Proceedings ArticleDOI
Domain-Agnostic Prior for Transfer Semantic Segmentation
TL;DR: This paper presents a simple and effective mechanism that regularizes cross-domain representation learning with a domain-agnostic prior (DAP) that constrains the features extracted from source and target domains to align with a Domainagnostic space.
Proceedings ArticleDOI
Cross-modal Joint Prediction and Alignment for Composed Query Image Retrieval
TL;DR: Zhang et al. as mentioned in this paper proposed a cross-modal joint prediction and alignment framework for composed query image retrieval, where the modification text is regarded as an implicit transformation between the query image and the target image.
Proceedings ArticleDOI
Inter-view-predicted redundant pictures for viewpoint switching in multiview video streaming
TL;DR: A coding and transmission scheme for streaming to clients of different display capabilities that saves transmission bandwidth by sending only those views that are displayed in a receiver and enables viewpoint switching through inter-view-predicted redundant pictures representing different sets of views being switched from and switched to.
Proceedings ArticleDOI
A Transform Domain Classification Based Wyner-Ziv Video Codec
TL;DR: Experimental results show that the proposed transform domain classification based Wyner-Ziv video codec is able to achieve better rate-distortion performance at the expense of some additional complexity in frame store and comparisons at the encoder.