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Ting Han
Ting Han
Artificial Intelligence Research Center, AIST
Bestätigte E-Mail-Adresse bei aist.go.jp
Titel
Zitiert von
Zitiert von
Jahr
Predicting apparent personality from body language: benchmarking deep learning architectures for adaptive social human–robot interaction
M Romeo, D Hernández García, T Han, A Cangelosi, K Jokinen
Advanced Robotics 35 (19), 1167-1179, 2021
152021
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
142013
Diversity as a by-product: Goal-oriented language generation leads to linguistic variation
S Schüz, T Han, S Zarrieß
Proceedings of the 22nd Annual Meeting of the Special Interest Group on …, 2021
92021
Mandarinograd: A Chinese Collection of Winograd Schemas
T Bernard, T Han
The 12th Edition of its Language Resources and Evaluation Conference, 2020
92020
Natural language informs the interpretation of iconic gestures: A computational approach
T Han, J Hough, D Schlangen
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
92017
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
72015
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
62019
Draw and tell: Multimodal descriptions outperform verbal-or sketch-only descriptions in an image retrieval task
T Han, D Schlangen
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
62017
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
42018
Temporal alignment using the incremental unit framework
C Kennington, T Han, D Schlangen
Proceedings of 19th ACM International Conference on Multimodal Interaction, 2017
42017
Decoding, fast and slow: A case study on balancing trade-offs in incremental, character-level pragmatic reasoning
S Zarrieß, H Buschmeier, T Han, S Schüz
Proceedings of the 14th International Conference on Natural Language …, 2021
32021
Grounding language by continuous observation of instruction following
T Han, D Schlangen
Proceedings of the 15th Conference of the European Chapter of the …, 2017
32017
A corpus of natural multimodal spatial scene descriptions
T Han, D Schlangen
Proceedings of the Eleventh International Conference on Language Resources …, 2018
12018
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
12018
Draw and Tell: a Corpus of Multimodal Object Descriptions
T Han, D Schlangen
12017
Enabling Robots to Draw and Tell: Towards Visually Grounded Multimodal Description Generation
T Han, S Zarrieß
https://hbuschme.github.io/nlg-hri-workshop-2020/assets/papers …, 2020
2020
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 Interpret and Apply Multimodal Descriptions
T Han
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
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