39 citations · 47 across the 9 of their papers we have counts for
11 papers
A Simple Channel Compression Method for Brain Signal Decoding on Classification Task
Changqing Ji, Keisuke Kawasaki, Isao Hasegawa +1
In the application of brain-computer interface (BCI), while pursuing accurate decoding of brain signals, we also need consider the computational efficiency of BCI devices. ECoG sig…
Rethinking Annotation for Object Detection: Is Annotating Small-size Instances Worth Its Cost?
Yusuke Hosoya, Masanori Suganuma, Takayuki Okatani
Detecting objects occupying only small areas in an image is difficult, even for humans. Therefore, annotating small-size object instances is hard and thus costly. This study questi…
Temporal Insight Enhancement: Mitigating Temporal Hallucination in Multimodal Large Language Models
Li Sun, Liuan Wang, Jun Sun +1
Recent advancements in Multimodal Large Language Models (MLLMs) have significantly enhanced the comprehension of multimedia content, bringing together diverse modalities such as te…
Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering
Tatsuro Yamane, Pang-jo Chun, Ji Dang +1
In this paper, a bridge member damage cause estimation framework is proposed by calculating the image position using Structure from Motion (SfM) and acquiring its information via V…
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…