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Visual-tactile fused sensing for object clustering has achieved significant progresses recently, since the involvement of tactile modality can effectively improve clustering performance.
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Liu, H.; Yu, Y.; Sun, F.; and Gu, J. 2016 · 2016
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Robotic Tactile Perception and Understanding: A Sparse Coding Method
Liu, H.; and Sun, F. 2018 · 2018
Cited alongside, same era.
ViTac: Feature Sharing Between Vision and Tactile Sensing for Cloth Texture Recognition
Luo, S.; Yuan, W.; Adelson, E.; Cohn, A. G.; and Fuentes, R. 2018 · 2018
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Wang, Q.; Ding, Z.; Tao, Z.; Gao, Q.; and Fu, Y. 2018a · 2018
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Wang, S.; Wu, J.; Sun, X.; Yuan, W.; Freeman, W. T.; Tenenbaum, J. B.; and Adelson, E. H. 2018b · 2018
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Incomplete multi-view clustering via graph regularized matrix factorization
Wen, J.; Zhang, Z.; Xu, Y.; and Zhong, Z. 2018 · 2018
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Generalized latent multi-view subspace clustering
Zhang, C.; Fu, H.; Hu, Q.; Cao, X.; Xie, Y.; Tao, D.; and Xu, D. 2018 · 2018
Unified embedding alignment with missing views inferring for incomplete multi-view clustering
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”Touching to See” and ”Seeing to Feel”: Robotic Cross-modal Sensory Data Generation for Visual-Tactile Perception
Lee, J.; Bollegala, D.; and Luo, S. 2019 · 2019
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Connecting Touch and Vision via Cross-Modal Prediction
Li, Y.; Zhu, J.-Y.; Tedrake, R.; and Torralba, A. 2019 · 2019
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Lifelong Learning for Heterogeneous Multi-Modal Tasks
Liu, H.; Sun, F.; and Fang, B. 2019 · 2019
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