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Shin'ya Nishida

3 accepted papers

2025

HAPI: A Model for Learning Robot Facial Expressions from Human Preferences

IROS 2025

Automatic robotic facial expression generation is crucial for human–robot interaction (HRI), as handcrafted methods based on fixed joint configurations often yield rigid and unnatural behaviors. Although recent automated techniques reduce the need for manual tuning, they tend to fall short by not ad

Cited by 2SourcecodeScholar
2025

HuPerFlow: A Comprehensive Benchmark for Human vs. Machine Motion Estimation Comparison

CVPR 2025highlight

As AI models are increasingly integrated into applications involving human interaction, understanding the alignment between human perception and machine vision has become essential. One example is the estimation of visual motion (optical flow) in dynamic applications such as driving assistance. Whil…

Cited by 0SourcePDFScholar
2023

Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network

NeurIPS 2023poster

Visual motion processing is essential for humans to perceive and interact with dynamic environments. Despite extensive research in cognitive neuroscience, image-computable models that can extract informative motion flow from natural scenes in a manner consistent with human visual processing have yet…

Cited by 2SourcePDFScholar