| 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 | 22 | 2021 |
| Mandarinograd: A Chinese Collection of Winograd Schemas T Bernard, T Han The 12th Edition of its Language Resources and Evaluation Conference, 2020 | 15 | 2020 |
| 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 | 14 | 2021 |
| 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 | 13 | 2013 |
| 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 | 9 | 2017 |
| 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 | 8 | 2017 |
| 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 | 7 | 2015 |
| 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 | 6 | 2019 |
| 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 | 4 | 2021 |
| 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 | 4 | 2018 |
| Grounding language by continuous observation of instruction following T Han, D Schlangen Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 4 | 2017 |
| Temporal alignment using the incremental unit framework C Kennington, T Han, D Schlangen Proceedings of 19th ACM International Conference on Multimodal Interaction, 2017 | 4 | 2017 |
| A corpus of natural multimodal spatial scene descriptions T Han, D Schlangen Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 1 | 2018 |
| 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 | 1 | 2018 |
| Draw and Tell: a Corpus of Multimodal Object Descriptions T Han, D Schlangen | 1 | 2017 |
| 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 |
