60 citations · 144 across the 31 of their papers we have counts for
5 papers · 1 filter
GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features
Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani
Current state-of-the-art methods for image captioning employ region-based features, as they provide object-level information that is essential to describe the content of images; th…
Single-image Defocus Deblurring by Integration of Defocus Map Prediction Tracing the Inverse Problem Computation
Qian Ye, Masanori Suganuma, Takayuki Okatani
In this paper, we consider the problem in defocus image deblurring. Previous classical methods follow two-steps approaches, i.e., first defocus map estimation and then the non-blin…
Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging
Qian Ye, Masanori Suganuma, Jun Xiao +1
Reconstructing ghosting-free high dynamic range (HDR) images of dynamic scenes from a set of multi-exposure images is a challenging task, especially with large object motion and oc…
Rethinking Open-Set Object Detection: Issues, a New Formulation, and Taxonomy
Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani
Open-set object detection (OSOD), a task involving the detection of unknown objects while accurately detecting known objects, has recently gained attention. However, we identify a…
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
Zhijie Wang, Masanori Suganuma, Takayuki Okatani
Unsupervised domain adaptation (UDA) adapts a model trained on one domain (called source) to a novel domain (called target) using only unlabeled data. Due to its high annotation co…