Learning Models for Object Recognition from Natural Language Descriptions. J Wang, K Markert, M Everingham BMVC 1, 2, 2009 | 256 | 2009 |
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 | 162 | 2016 |
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 | 108 | 2016 |
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 | 108 | 2015 |
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 | 66 | 2018 |
Object Counts! Bringing Explicit Detections Back into Image Captioning J Wang, P Madhyastha, L Specia arXiv preprint arXiv:1805.00314, 2018 | 40 | 2018 |
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 | 39 | 2015 |
Shef-multimodal: Grounding machine translation on images K Shah, J Wang, L Specia Proceedings of the First Conference on Machine Translation, Berlin, Germany, 2016 | 34 | 2016 |
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 | 34 | 2015 |
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 | 26 | 2017 |
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 | 25 | 2016 |
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 | 14 | 2014 |
End-to-end Image Captioning Exploits Multimodal Distributional Similarity P Madhyastha, J Wang, L Specia arXiv preprint arXiv:1809.04144, 2018 | 12 | 2018 |
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 | 12 | 2007 |
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 | 11 | 2017 |
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 | 10 | 2015 |
Defoiling Foiled Image Captions P Madhyastha, J Wang, L Specia arXiv preprint arXiv:1805.06549, 2018 | 8 | 2018 |
Cross-validating Image Description Datasets and Evaluation Metrics JK Wang, R Gaizauskas Proceedings of the 10th Language Resources and Evaluation Conference, 3059-3066, 2016 | 6 | 2016 |
The role of image representations in vision to language tasks P Madhyastha, J Wang, L Specia Natural Language Engineering 24 (3), 415-439, 2018 | 4 | 2018 |
Defining visually descriptive language R Gaizauskas, J Wang, A Ramisa Proceedings of the Fourth Workshop on Vision and Language, 10-17, 2015 | 4 | 2015 |