10 citations · 14 across the 8 of their papers we have counts for
4 papers · 1 filter
An Interpretable Deep Learning Framework for Material Perception and Classification from Multisensory Tactile Data
Li Zou, Dave Hogendoorn, Yasemin Vardar
Human tactile perception relies on complex multisensory cues. Yet the relationship between tactile signals and perceptual representations remains poorly understood, limiting the in…
Learning to Feel Materials from Multisensory Tactile Data via Interpretable Models
Li Zou, Yasemin Vardar
Human tactile perception of materials relies on complex multisensory touch cues, yet the relationship between low-level tactile signals and perceptual representations remains poorl…
Why Modeling Human Haptic Material Perception with AI Is Difficult
Yasemin Vardar
Touch plays a central role in how humans perceive and recognize materials through physical contact. Despite decades of research, the mechanisms by which tactile signals are transfo…
Perceptually Lossless Tactile Texture Synthesis with Compact Spectral Envelope Models
Jagan K. Balasubramanian, Yasemin Vardar
Modern audio-visual media rely on compact representations for efficient storage and transmission, whereas realistic digital touch still depends on high-resolution tactile recording…