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Wei Liu
Researcher at University of North Carolina at Chapel Hill
Publications - 34
Citations - 80590
Wei Liu is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Object detection & Computer science. The author has an hindex of 18, co-authored 26 publications receiving 58077 citations. Previous affiliations of Wei Liu include Carnegie Mellon University & Nanjing University.
Papers
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Proceedings ArticleDOI
Unsupervised summarization of rushes videos
TL;DR: The problem of video summarization as one of time-series clustering, and proposed Constrained Aligned Cluster Analysis (CACA), which combines kernel k-means, Dynamic Time Alignment Kernel (DTAK), and unlike previous work, CACA jointly optimizes video segmentation and shot clustering.
Proceedings Article
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
TL;DR: This paper presents an efficient MLP-like network architecture, dubbed DynaMixer, resorting to dynamic information fusion, and proposes a procedure to dynamically generate mixing matrices by leveraging the contents of all the tokens to be mixed.
Proceedings ArticleDOI
Three years of low-power image recognition challenge: Introduction to special session
TL;DR: The rules of the competition and the rationale are explained, the rationale is summarized, the teams' scores are summarized, and the lessons learned in the first three years are described.
Informedia @ TRECVID 2010
Huan Li,Lei Bao,Arnold Overwijk,Wei Liu,Longfei Zhang,Shoou-I Yu,Ming-yu Chen,Florian Metze,Alexander G. Hauptmann +8 more
TL;DR: The Informedia group participated in four tasks this year, including Semantic indexing, Known-item search, Surveillance event detection and Event detection in Internet multimedia pilot, where both ASR and OCR contribute to the goals of this task.
Journal ArticleDOI
Learning to name objects
TL;DR: This paper looks at the problem of predicting category labels that mimic how human observers would name objects, related to the concept of entry-level categories first introduced by psychologists in the 1970s and 1980s.