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.
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Generalized Common Informations: Measuring Commonness by the Conditional Maximal Correlation
TL;DR: This paper defines two generalized versions of common informations, named approximate and exact information-correlation functions, by exploiting the conditional maximal correlation as a commonness or privacy measure and studies the problems of private sources synthesis and common information extraction.
Journal ArticleDOI
Visual word expansion and BSIFT verification for large-scale image search
TL;DR: This paper proposes constructing a supporting visual word table for all visual words by visual word expansion and presents a matching verification scheme based on binary SIFT (BSIFT) signature, which greatly improves the precision of large-scale image search.
Journal ArticleDOI
Real-Time Correlation Tracking via Joint Model Compression and Transfer
TL;DR: Li et al. as mentioned in this paper propose to jointly compress and transfer off-the-shelf CNN models within a knowledge distillation framework, and formulate a CNN model pretrained from the image classification task as a teacher network, and distill this teacher network into a lightweight student network as the feature extractor to speed up correlation filters.
Proceedings ArticleDOI
Large scale partial-duplicate image retrieval with bi-space quantization and geometric consistency
TL;DR: This paper proposes a novel bispace quantization strategy that achieves an improvement in discriminative power and ambiguity of visual words in web image search by quantizing local features first in descriptor space and then in orientation space.
Proceedings ArticleDOI
Binary SIFT: towards efficient feature matching verification for image search
TL;DR: This paper proposes to generate binary SIFT from the original SIFT descriptor, and demonstrates the effectiveness and efficiency of the proposed approach by conducting partial-duplicate image search on a one-million image database.