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Josiah Wang
Josiah Wang
Imperial College London
Verified email at sheffield.ac.uk - Homepage
Title
Cited by
Cited by
Year
Learning Models for Object Recognition from Natural Language Descriptions.
J Wang, K Markert, M Everingham
BMVC 1, 2, 2009
2562009
Large scale semi-supervised object detection using visual and semantic knowledge transfer
Y Tang, J Wang, B Gao, E Dellandréa, R Gaizauskas, L Chen
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1622016
General Overview of ImageCLEF at the CLEF 2016 Labs
M Villegas, H Müller, A Gracía Seco de Herrera, R Schaer, S Bromuri, ...
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 7th …, 2016
1082016
General overview of ImageCLEF at the CLEF 2015 Labs
M Villegas, H Müller, A Gilbert, L Piras, J Wang, K Mikolajczyk, ...
Experimental IR Meets Multilinguality, Multimodality, and Interaction, 444-461, 2015
1082015
Visual and semantic knowledge transfer for large scale semi-supervised object detection
Y Tang, J Wang, X Wang, B Gao, E Dellandréa, R Gaizauskas, L Chen
IEEE transactions on pattern analysis and machine intelligence 40 (12), 3045 …, 2018
662018
Object Counts! Bringing Explicit Detections Back into Image Captioning
J Wang, P Madhyastha, L Specia
arXiv preprint arXiv:1805.00314, 2018
402018
Overview of the ImageCLEF 2015 scalable image annotation, localization and sentence generation task
A Gilbert, L Piras, J Wang, F Yan, E Dellandrea, R Gaizauskas, M Villegas, ...
CLEF2015 Working Notes. CEUR Workshop Proceedings, CEUR-WS. org, Toulouse …, 2015
392015
Shef-multimodal: Grounding machine translation on images
K Shah, J Wang, L Specia
Proceedings of the First Conference on Machine Translation, Berlin, Germany, 2016
342016
Combining Geometric, Textual and Visual Features for Predicting Prepositions in Image Descriptions
A Ramisa, J Wang, Y Lu, E Dellandrea, F Moreno-Noguer, R Gaizauskas
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
342015
Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation
PS Madhyastha, J Wang, L Specia
Proceedings of the Second Conference on Machine Translation, 470-476, 2017
262017
Overview of the ImageCLEF 2016 scalable concept image annotation task
A Gilbert, L Piras, J Wang, F Yan, A Ramisa, E Dellandrea, R Gaizauskas, ...
CLEF2016 Working Notes. CEUR Workshop Proceedings, CEUR-WS. org, Évora …, 2016
252016
A Poodle or a Dog? Evaluating Automatic Image Annotation Using Human Descriptions at Different Levels of Granularity
JK Wang, F Yan, A Aker, R Gaizauskas
Proceedings of the Workshop on Vision and Language 2014 (VL'14), in …, 2014
142014
End-to-end Image Captioning Exploits Multimodal Distributional Similarity
P Madhyastha, J Wang, L Specia
arXiv preprint arXiv:1809.04144, 2018
122018
Which English dominates the World Wide Web, British or American
E Atwell, J Arshad, CM Lai, L Nim, N Rezapour Asheghi, J Wang, ...
Proceedings of the Corpus Linguistics Conference (CL 2007). Birmingham, UK, 2007
122007
Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation
C Lala, P Madhyastha, J Wang, L Specia
The Prague Bulletin of Mathematical Linguistics 108 (1), 197-208, 2017
112017
Generating Image Descriptions with Gold Standard Visual Inputs: Motivation, Evaluation and Baselines
JK Wang, R Gaizauskas
Proceedings of the 15th European Workshop on Natural Language Generation …, 2015
102015
Defoiling Foiled Image Captions
P Madhyastha, J Wang, L Specia
arXiv preprint arXiv:1805.06549, 2018
82018
Cross-validating Image Description Datasets and Evaluation Metrics
JK Wang, R Gaizauskas
Proceedings of the 10th Language Resources and Evaluation Conference, 3059-3066, 2016
62016
The role of image representations in vision to language tasks
P Madhyastha, J Wang, L Specia
Natural Language Engineering 24 (3), 415-439, 2018
42018
Defining visually descriptive language
R Gaizauskas, J Wang, A Ramisa
Proceedings of the Fourth Workshop on Vision and Language, 10-17, 2015
42015
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Articles 1–20