40 citations · 128 across the 10 of their papers we have counts for
10 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…
IPA-CLIP: Integrating Phonetic Priors into Vision and Language Pretraining
Chihaya Matsuhira, Marc A. Kastner, Takahiro Komamizu +4
Recently, large-scale Vision and Language (V\&L) pretraining has become the standard backbone of many multimedia systems. While it has shown remarkable performance even in unseen s…
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…
Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention
Hao Cheng, Li Feng, Hailong Liu +3
Intersections where vehicles are permitted to turn and interact with vulnerable road users (VRUs) like pedestrians and cyclists are among some of the most challenging locations for…
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 Timing for an Automated Vehicle to Make Pedestrians Understand Its Driving Intentions for Improving Their Perception of Safety?
Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales +1
Although automated driving systems have been used frequently, they are still unpopular in society. To increase the popularity of automated vehicles (AVs), assisting pedestrians to…
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…
Saliency difference based objective evaluation method for a superimposed screen of the HUD with various background
Hailong Liu, Toshihiro Hiraoka, Takatsugu Hirayama +1
The head-up display (HUD) is an emerging device which can project information on a transparent screen. The HUD has been used in airplanes and vehicles, and it is usually placed in…