Ting Han
Ting Han
Artificial Intelligence Research Center, AIST
Verified email at aist.go.jp - Homepage
Title
Cited by
Cited by
Year
A fast dark channel prior-based depth map approximation method for dehazing single images
T Han, Y Wan
2013 IEEE Third International Conference on Information Science and …, 2013
102013
Building and Applying Perceptually-Grounded Representations of Multimodal Scene Descriptions
T Han, C Kennington, D Schlangen
Proceedings of the 19th SemDial Workshop on the Semantics and Pragmatics of …, 2015
62015
Natural Language Informs the Interpretation of Iconic Gestures. A Computational Approach
T Han, J Hough, D Schlangen
The 8th International Joint Conference on Natural Language Processing …, 2017
32017
Draw and tell. multimodal descriptions outperform verbal-or sketch-only descriptions in an image retrieval task
T Han, D Schlangen
The 8th International Joint Conference on Natural Language Processing …, 2017
32017
Placing Objects in Gesture Space: Toward Real-Time Understanding of Spatial Descriptions
T Han, C Kennington, D Schlangen
Proceedings of the thirty-second AAAI conference on artificial intelligence …, 2018
22018
Grounding language by continuous observation of instruction following
T Han, D Schlangen
Proceedings of the 15th Conference of the European Chapter of the …, 2017
22017
A corpus of natural multimodal spatial scene descriptions
T Han, D Schlangen
Proceedings of the Eleventh International Conference on Language Resources …, 2018
12018
Draw and Tell: a Corpus of Multimodal Object Descriptions
T Han, D Schlangen
12017
Temporal alignment using the incremental unit framework
C Kennington, T Han, D Schlangen
Proceedings of 19th ACM International Conference on Multimodal Interaction, 2017
12017
Mandarinograd: A Chinese Collection of Winograd Schemas
T Bernard, T Han
The 12th Edition of its Language Resources and Evaluation Conference, 2020
2020
Bridging the Gap between Robotic Applications and Computational Intelligence in Domestic Robotics
J Zhong, T Han, A Lotfi, A Cangelosi, X Liu
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1445-1452, 2019
2019
Sketch Me if You Can: Towards Generating Detailed Descriptions of Object Shape by Grounding in Images and Drawings
T Han, S Zarrieß
The 12th International Conference on Natural Language Generation, 2019
2019
Learning to describe multimodally from parallel unimodal data? A pilot study on verbal and sketched object descriptions
T Han, S Zarrieß, K Komatani, D Schlangen
Proceedings of the 22nd Workshop on the Semantics and Pragmatics of Dialogue …, 2018
2018
A Corpus of Multimodal Spatial Scene Descriptions
T Han, D Schlangen
2017
Towards Automatic Understanding ofVirtual Pointing’in Interaction
T Han, S Kousidis, D Schlangen
Proceedings of the 18th SemDial Workshop on the Semantics and Pragmatics of …, 2014
2014
A Corpus of Virtual Pointing Gestures
T Han, S Kousidis, D Schlangen
2014
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Articles 1–16