373 citations · 709 across the 54 of their papers we have counts for
9 papers · 1 filter
360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation
Bolivar Solarte, Yueh-Cheng Liu, Chin-Hsuan Wu +2
We present 360-DFPE, a sequential floor plan estimation method that directly takes 360-images as input without relying on active sensors or 3D information. Our approach leverages a…
Semi-supervised Multi-task Learning for Semantics and Depth
Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung +3
Multi-Task Learning (MTL) aims to enhance the model generalization by sharing representations between related tasks for better performance. Typical MTL methods are jointly trained…
Learning Cross-modal Contrastive Features for Video Domain Adaptation
Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang +4
Learning transferable and domain adaptive feature representations from videos is important for video-relevant tasks such as action recognition. Existing video domain adaptation met…
Towards Interpretable Deep Networks for Monocular Depth Estimation
Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu +1
Deep networks for Monocular Depth Estimation (MDE) have achieved promising performance recently and it is of great importance to further understand the interpretability of these ne…
End-to-end Multi-modal Video Temporal Grounding
Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang
We address the problem of text-guided video temporal grounding, which aims to identify the time interval of a certain event based on a natural language description. Different from…
Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images
Bolivar Solarte, Chin-Hsuan Wu, Kuan-Wei Lu +3
This paper presents a novel preconditioning strategy for the classic 8-point algorithm (8-PA) for estimating an essential matrix from 360-FoV images (i.e., equirectangular images)…
Understanding Synonymous Referring Expressions via Contrastive Features
Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang
Referring expression comprehension aims to localize objects identified by natural language descriptions. This is a challenging task as it requires understanding of both visual and…
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
Fu-En Wang, Yu-Hsuan Yeh, Min Sun +2
Although significant progress has been made in room layout estimation, most methods aim to reduce the loss in the 2D pixel coordinate rather than exploiting the room structure in t…
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai +2
Face recognition models trained under the assumption of identical training and test distributions often suffer from poor generalization when faced with unknown variations, such as…