Search Results for author: Meng-Jiun Chiou

Found 5 papers, 4 papers with code

Learning Structured Representations of Visual Scenes

no code implementations9 Jul 2022 Meng-Jiun Chiou

As the intermediate-level representations bridging the two levels, structured representations of visual scenes, such as visual relationships between pairwise objects, have been shown to not only benefit compositional models in learning to reason along with the structures but provide higher interpretability for model decisions.

Human-Object Interaction Detection Representation Learning +2

Recovering the Unbiased Scene Graphs from the Biased Ones

1 code implementation5 Jul 2021 Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng

Given input images, scene graph generation (SGG) aims to produce comprehensive, graphical representations describing visual relationships among salient objects.

Missing Labels Scene Graph Classification +4

Visual Relationship Detection with Visual-Linguistic Knowledge from Multimodal Representations

1 code implementation10 Sep 2020 Meng-Jiun Chiou, Roger Zimmermann, Jiashi Feng

Visual relationship detection aims to reason over relationships among salient objects in images, which has drawn increasing attention over the past few years.

Object object-detection +4

Zero-Shot Multi-View Indoor Localization via Graph Location Networks

1 code implementation6 Aug 2020 Meng-Jiun Chiou, Zhenguang Liu, Yifang Yin, An-An Liu, Roger Zimmermann

In this paper, we propose a novel neural network based architecture Graph Location Networks (GLN) to perform infrastructure-free, multi-view image based indoor localization.

Indoor Localization

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