Benjamin W. Wah

2 accepted papers

2026

Video Mirror Detection with the Motion-in-Depth Cue

Alex Warren, Ke Xu, Xin Tian, Gary K. L. Tam, Benjamin W. Wah, Rynson W. H. Lau

AAAI 2026technical

Detecting mirror regions in RGB videos is essential for scene understanding in applications such as scene reconstruction and robotic navigation. Existing video mirror detectors typically rely on cues like inside-outside mirror correspondences and 2D motion inconsistencies. However, these methods oft

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2017

Supplementary Meta-Learning: Towards a Dynamic Model for Deep Neural Networks

Feihu Zhang, Benjamin W. Wah

ICCV 2017poster

Data diversity in terms of types, styles, as well as radiometric, exposure and texture conditions widely exists in training and test data of vision applications. However, learning in traditional neural networks (NNs) only tries to find a model with fixed parameters that optimize the average behavior…

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