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Desmond Elliott

32 papers hereh-index 314.7k citations87 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author11
  • last author17

Across the 32 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CL28
  • cs.CV3
  • cs.LG1
same name
  • Desmond Elliott — 11 papers, h 3
  • Desmond Elliott — 9 papers, h 4
  • Desmond Elliott — 8 papers, h 5
  • Desmond Elliott — 4 papers, h 4
  • Desmond Elliott — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedHow2: A Large-scale Dataset for Multimodal Language Understanding

187 citations · 475 across the 25 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CL2017★ 1 cited

Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description

Desmond Elliott, Stella Frank, Loïc Barrault +2

We present the results from the second shared task on multimodal machine translation and multilingual image description. Nine teams submitted 19 systems to two tasks. The multimoda…

cs.CL2017

Cross-linguistic differences and similarities in image descriptions

Emiel van Miltenburg, Desmond Elliott, Piek Vossen

Automatic image description systems are commonly trained and evaluated on large image description datasets. Recently, researchers have started to collect such datasets for language…

cs.CL2017★ 110 cited

Imagination improves Multimodal Translation

Desmond Elliott, Ákos Kádár

We decompose multimodal translation into two sub-tasks: learning to translate and learning visually grounded representations. In a multitask learning framework, translations are le…

cs.CL2017★ 8 cited

Room for improvement in automatic image description: an error analysis

Emiel van Miltenburg, Desmond Elliott

In recent years we have seen rapid and significant progress in automatic image description but what are the open problems in this area? Most work has been evaluated using text-base…

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