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Junhua Mao

Junhua Mao has 2 papers in our library, in 2014–2015, most of them on Vision & language; often with Alan Yuille, Alexander Toshev, Kevin P. Murphy.

2 papers in our library · 2014–2015

OpenAlex · h-index 16 · 19 works · 4,539 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 597 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #1551

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of California, Los AngelesLos Angeles · United States2014–2017 · 10 papers🏢BaiduBeijing · China2014–2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 2The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 1Research subjects and languages the work is about.Vision & language · 1 work

 Works by year

2010s

20151 paper20141 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Generation and Comprehension of Unambiguous Object Descriptions (2015 · 1,388 citations)
    The paper studies referring expressions: phrases that single out exactly one object in a photo. It treats two linked tasks. Generation means producing such a phrase for a highlighted region. Comprehension means picking the correct region from a set of candidate boxes, given a phrase. The authors argue that this…
  2. Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN) (2014 · 715 citations)
    The paper addresses automatic image captioning. Many earlier systems picked captions from a fixed sentence database and so could not describe unseen combinations of objects and scenes. The authors propose m-RNN, a generative model that estimates the probability of each next word given the preceding words and the…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Generation and Comprehension of Unambiguous Object DescriptionsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunhua Mao, Jonathan Huang, Alexander Toshev, et al.2015 · 1,388 citations
  2. CNN-RNN: A Unified Framework for Multi-label Image Classification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJiang Wang et al.2016 · 1,218 citations
  3. Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)International Conference on Learning Representations (ICLR)Junhua Mao, Wei Xu, Yi Yang, et al.2014 · 715 citations
  4. Attention Correctness in Neural Image Captioning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChenxi Liu et al.2017 · 218 citations

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 597 times (of the 149,439 papers whose bibliographies we read); 124 citing papers with a page here →.

Updated

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