17 citations · 31 across the 6 of their papers we have counts for
10 papers
Improved Few-shot Segmentation by Redefinition of the Roles of Multi-level CNN Features
Zhijie Wang, Masanori Suganuma, Takayuki Okatani
This study is concerned with few-shot segmentation, i.e., segmenting the region of an unseen object class in a query image, given support image(s) of its instances. The current met…
Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes
Wenzheng Song, Masanori Suganuma, Xing Liu +3
This paper considers matching images of low-light scenes, aiming to widen the frontier of SfM and visual SLAM applications. Recent image sensors can record the brightness of scenes…
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks
Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani
There is a growing interest in the community in making an embodied AI agent perform a complicated task while interacting with an environment following natural language directives.…
How Can CNNs Use Image Position for Segmentation?
Rito Murase, Masanori Suganuma, Takayuki Okatani
Convolution is an equivariant operation, and image position does not affect its result. A recent study shows that the zero-padding employed in convolutional layers of CNNs provides…
Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs
Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani
It has been a primary concern in recent studies of vision and language tasks to design an effective attention mechanism dealing with interactions between the two modalities. The Tr…
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors
Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani
The employment of convolutional neural networks has led to significant performance improvement on the task of object detection. However, when applying existing detectors to continu…