Shuhei Kurita

According to our database1, Shuhei Kurita authored at least 17 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
JDocQA: Japanese Document Question Answering Dataset for Generative Language Models.
CoRR, 2024

Vision Language Model-based Caption Evaluation Method Leveraging Visual Context Extraction.
CoRR, 2024

SlideAVSR: A Dataset of Paper Explanation Videos for Audio-Visual Speech Recognition.
CoRR, 2024

2023
Cross3DVG: Baseline and Dataset for Cross-Dataset 3D Visual Grounding on Different RGB-D Scans.
CoRR, 2023

CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Query-based Image Captioning from Multi-context 360cdegree Images.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ARKitSceneRefer: Text-based Localization of Small Objects in Diverse Real-World 3D Indoor Scenes.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
ScanQA: 3D Question Answering for Spatial Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule.
Proceedings of the 9th International Conference on Learning Representations, 2021

Co-Teaching Student-Model through Submission Results of Shared Task.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019
Neural Approaches for Syntactic and Semantic Analysis.
PhD thesis, 2019

Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Neural Joint Model for Transition-based Chinese Syntactic Analysis.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017


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