Sunghwan Shin

According to our database1, Sunghwan Shin authored at least 14 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Hybrid Framework for Haptic Texture Modeling and Rendering.
IEEE Access, 2020

2018
Effects of haptic texture rendering modalities on realism.
Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology, 2018

Geometry-based haptic texture modeling and rendering using photometric stereo.
Proceedings of the 2018 IEEE Haptics Symposium, 2018

An inverse neural network model for data-driven texture rendering on electrovibration display.
Proceedings of the 2018 IEEE Haptics Symposium, 2018

Data-driven thermal rendering: An initial study.
Proceedings of the 2018 IEEE Haptics Symposium, 2018

Data-Driven Multi-modal Haptic Rendering Combining Force, Tactile, and Thermal Feedback.
Proceedings of the Haptic Interaction - Perception, Devices and Algorithms, 2018

2017
Haptic texture rendering using random fractal surface.
Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017

2016
Hybrid Haptic Texture Rendering Using Kinesthetic and Vibrotactile Feedback.
Proceedings of the Haptic Interaction, 2016

2015
Data-driven modeling of isotropic haptic textures using frequency-decomposed neural networks.
Proceedings of the 2015 IEEE World Haptics Conference, 2015

2012
Haptic simulation of refrigerator door.
Proceedings of the 2012 IEEE Haptics Symposium, 2012

2011
Individual Error Minimization Learning Framework and its Applications to Speech Recognition and Utterance Verification.
Proceedings of the INTERSPEECH 2011, 2011

Discriminative Training for direct minimization of deletion, insertion and substitution errors.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Discriminative linear-transform based adaptation using minimum verification error.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
A study on recognizing distorted speech over local distributed transducer networks.
Proceedings of the IEEE International Conference on Acoustics, 2009


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