L
Lilei Zheng
Researcher at Institute for Infocomm Research Singapore
Publications - 29
Citations - 545
Lilei Zheng is an academic researcher from Institute for Infocomm Research Singapore. The author has contributed to research in topics: Metric (mathematics) & Cosine similarity. The author has an hindex of 10, co-authored 24 publications receiving 397 citations. Previous affiliations of Lilei Zheng include Northwestern Polytechnical University & Agency for Science, Technology and Research.
Papers
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Journal ArticleDOI
A survey on image tampering and its detection in real-world photos
TL;DR: This survey provides an overview on typical image tampering types, released image tampering datasets and recent tampering detection approaches and encourages the research community to develop general tampering localization methods in the future instead of adhering to single-type tampering detection.
Proceedings ArticleDOI
The FG 2015 Kinship Verification in the Wild Evaluation
Jiwen Lu,Junlin Hu,Venice Erin Liong,Xiuzhuang Zhou,Andrea Bottino,Ihtesham Ul Islam,Tiago Figueiredo Vieira,Xiaoqian Qin,Xiaoyang Tan,Songcan Chen,Shahar Mahpod,Yosi Keller,Lilei Zheng,Khalid Idrissi,Christophe Garcia,Stefan Duffner,Atilla Baskurt,Modesto Castrillón-Santana,Javier Lorenzo-Navarro +18 more
TL;DR: Most of the participants tackled the image-restricted challenge and experimental results demonstrated better kinship verification performance than the baseline methods provided by the organizers.
Proceedings ArticleDOI
Automated face swapping and its detection
TL;DR: The feasibility to achieve an automated face swapping detection through machine learning is discussed and several approaches are tested on a face swapping database derived from a face benchmarking repository.
Proceedings ArticleDOI
Triangular similarity metric learning for face verification
TL;DR: An efficient linear similarity metric learning method for face verification called Triangular Similarity Metric Learning (TSML) is proposed, which improves the efficiency of learning the cosine similarity while keeping effectiveness.
Journal ArticleDOI
Siamese multi-layer perceptrons for dimensionality reduction and face identification
TL;DR: While the classical MLP fixes the dimension of the output space, the siamese MLP allows flexible output dimension, hence it is applied for visualization of the dimensionality reduction to the 2-d and 3-d spaces.