40 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nagoya UniversityJP5 papers
- Kyoto UniversityJP2 papers
- Nara Institute of Science and TechnologyJP2 papers
- RIKENJP2 papers
- Toyota Motor Corporation (Japan)JP2 papers
- Agricultural Research CenterEG1 paper
- Hiroshima City UniversityJP1 paper
- Institute of Information Science, Academia SinicaTW1 paper
- Institute of Political Science, Academia SinicaTW1 paper
- Iwate Biotechnology Research CenterJP1 paper
- National Tsing Hua UniversityTW1 paper
- Shift (United Kingdom)GB1 paper
6 papers
Small Object Detection for Birds with Swin Transformer
Da Huo, Marc A. Kastner, Tingwei Liu +4
Object detection is the task of detecting objects in an image. In this task, the detection of small objects is particularly difficult. Other than the small size, it is also accompa…
Investigating Conceptual Blending of a Diffusion Model for Improving Nonword-to-Image Generation
Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu +2
Text-to-image diffusion models sometimes depict blended concepts in the generated images. One promising use case of this effect would be the nonword-to-image generation task which…
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi +19
Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a ch…
Pre-instruction for Pedestrians Interacting Autonomous Vehicles with an eHMI: Effects on Their Psychology and Walking Behavior
Hailong Liu, Takatsugu Hirayama
External human-machine interface (eHMI) is considered as a new explicit communication method for pedestrian-AV interactions, particularly in encounter scenarios. Pedestrians withou…
Importance of Instruction for Pedestrian-Automated Driving Vehicle Interaction with an External Human Machine Interface: Effects on Pedestrians' Situation Awareness, Trust, Perceived Risks and Decision Making
Hailong Liu, Takatsugu Hirayama, Masaya Watanabe
Compared to a manual driving vehicle (MV), an automated driving vehicle lacks a way to communicate with the pedestrian through the driver when it interacts with the pedestrian beca…
What Is the Gaze Behavior of Pedestrians in Interactions with an Automated Vehicle When They Do Not Understand Its Intentions?
Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales +1
Interactions between pedestrians and automated vehicles (AVs) will increase significantly with the popularity of AV. However, pedestrians often have not enough trust on the AVs , p…