60 citations · 144 across the 31 of their papers we have counts for
6 papers · 1 filter
SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers
Xiangyong Lu, Masanori Suganuma, Takayuki Okatani
Computer vision has become increasingly prevalent in solving real-world problems across diverse domains, including smart agriculture, fishery, and livestock management. These appli…
Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction
Korawat Charoenpitaks, Van-Quang Nguyen, Masanori Suganuma +3
This paper addresses the problem of predicting hazards that drivers may encounter while driving a car. We formulate it as a task of anticipating impending accidents using a single…
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering
Jie Zhang, Masanori Suganuma, Takayuki Okatani
Recent studies on visual anomaly detection (AD) of industrial objects/textures have achieved quite good performance. They consider an unsupervised setting, specifically the one-cla…
Contextual Affinity Distillation for Image Anomaly Detection
Jie Zhang, Masanori Suganuma, Takayuki Okatani
Previous works on unsupervised industrial anomaly detection mainly focus on local structural anomalies such as cracks and color contamination. While achieving significantly high de…
Reference-based Motion Blur Removal: Learning to Utilize Sharpness in the Reference Image
Han Zou, Masanori Suganuma, Takayuki Okatani
Despite the recent advancement in the study of removing motion blur in an image, it is still hard to deal with strong blurs. While there are limits in removing blurs from a single…
RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution
Han Zou, Masanori Suganuma, Takayuki Okatani
Smartphones with multi-camera systems, featuring cameras with varying field-of-views (FoVs), are increasingly common. This variation in FoVs results in content differences across v…