Tomoyuki Suzuki — accepted AI-conference papers

2025

LayerD: Decomposing Raster Graphic Designs into Layers

Tomoyuki Suzuki, Kang-Jun Liu, Naoto Inoue, Kota Yamaguchi

ICCV 2025poster

Designers craft and edit graphic designs in a layer representation, but layer-based editing becomes impossible once composited into a raster image. In this work, we propose LayerD, a method to decompose raster graphic designs into layers for re-editable creative workflow. LayerD addresses the decomp…

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2018

Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB

Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh

CVPR 2018poster

In this paper, we propose a novel approach for traffic accident anticipation through (i) Adaptive Loss for Early Anticipation (AdaLEA) and (ii) a large-scale self-annotated incident database. The proposed AdaLEA allows us to gradually learn an earlier anticipation as training progresses. The loss fu…

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