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Ivor W. Tsang
Researcher at University of Technology, Sydney
Publications - 361
Citations - 22076
Ivor W. Tsang is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Computer science & Support vector machine. The author has an hindex of 64, co-authored 322 publications receiving 18649 citations. Previous affiliations of Ivor W. Tsang include Hong Kong University of Science and Technology & Agency for Science, Technology and Research.
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Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation.
TL;DR: Transition Encoding GAN (TEGAN) as mentioned in this paper proposes to enforce both result consistency and transition consistency for I2I translation, to benefit the problem with a closer consistency between the input and output.
Posted Content
Geometric Active Learning via Enclosing Ball Boundary
TL;DR: Experimental and theoretical studies have shown that the classification accuracy, time, and space performance of the proposed method significantly are superior than the state-of-the-art algorithms.
Journal ArticleDOI
Cold-Start Active Sampling via ɣ-Tube.
TL;DR: In this article, a tube active learning (TAL) algorithm was proposed to solve the cold-start sampling problem by using geometric sampling over minimum enclosing balls (MEBs) of clusters.
Journal ArticleDOI
Leveraging Inpainting for Single-Image Shadow Removal
TL;DR: Zhang et al. as discussed by the authors formulate shadow removal as an adaptive fusion task that takes advantage of both shadow removal and image inpainting, and develop an adaptive fuse network consisting of two encoders, an adaptive block, and a decoder.