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CBMM, NSF STC » About » People » Junhua Mao

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Junhua Mao

Junhua
Mao
Graduate Student
University of California, Los Angeles (UCLA)

Associated Research Thrust: 

  • Vision and Language
  • Theoretical Frameworks for Intelligence
Advisor/s: 
Alan L. Yuille

CBMM Publications

C. Liu, Mao, J., Sha, F., and Yuille, A., “Attention Correctness in Neural Image Captioning”, in AAAI 2017, 2017.
J. Mao, Xu, J., Jing, Y., and Yuille, A., “Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images”, in NIPS 2016, 2016.
J. Mao, Huang, J., Toshev, A., Camburu, O., Yuille, A., and Murphy, K., “Generation and Comprehension of Unambiguous Object Descriptions”, in The Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, 2016.
J. Mao, Xu, W., Yang, Y., Wang, J., Huang, Z., and Yuille, A., “Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)”. 2015.
J. Mao, Xu, W., Yang, Y., Wang, J., Huang, Z., and Yuille, A., “Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images”, in International Conference of Computer Vision, Santiago, Chile, 2015.
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