21 citations · 39 across the 6 of their papers we have counts for
6 papers
Video Salient Object Detection via Contrastive Features and Attention Modules
Yi-Wen Chen, Xiaojie Jin, Xiaohui Shen +1
Video salient object detection aims to find the most visually distinctive objects in a video. To explore the temporal dependencies, existing methods usually resort to recurrent neu…
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…
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…
Regularizing Meta-Learning via Gradient Dropout
Hung-Yu Tseng, Yi-Wen Chen, Yi-Hsuan Tsai +3
With the growing attention on learning-to-learn new tasks using only a few examples, meta-learning has been widely used in numerous problems such as few-shot classification, reinfo…
Referring Expression Object Segmentation with Caption-Aware Consistency
Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang +2
Referring expressions are natural language descriptions that identify a particular object within a scene and are widely used in our daily conversations. In this work, we focus on s…
Unseen Object Segmentation in Videos via Transferable Representations
Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang +2
In order to learn object segmentation models in videos, conventional methods require a large amount of pixel-wise ground truth annotations. However, collecting such supervised data…