60 citations · 144 across the 31 of their papers we have counts for
5 papers · 1 filter
Symmetry-aware Neural Architecture for Embodied Visual Navigation
Shuang Liu, Takayuki Okatani
Visual exploration is a task that seeks to visit all the navigable areas of an environment as quickly as possible. The existing methods employ deep reinforcement learning (RL) as t…
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…
Cross-Region Domain Adaptation for Class-level Alignment
Zhijie Wang, Xing Liu, Masanori Suganuma +1
Semantic segmentation requires a lot of training data, which necessitates costly annotation. There have been many studies on unsupervised domain adaptation (UDA) from one domain to…
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.…