Deep Compositional Captioning: Describing Novel Object Categories
without Paired Training Data

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Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data

17 November 2015

Lisa Anne Hendricks

Subhashini Venugopalan

Marcus Rohrbach

Raymond J. Mooney

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Papers citing "Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data"

19 / 19 papers shown

Title
Wide-Slice Residual Networks for Food Recognition N. Martinel G. Foresti C. Micheloni 115 201 0 20 Dec 2016
The Long-Short Story of Movie Description Anna Rohrbach Marcus Rohrbach Bernt Schiele VLM 72 111 0 04 Jun 2015
What value do explicit high level concepts have in vision to language problems? Qi Wu Chunhua Shen Lingqiao Liu A. Dick Anton Van Den Hengel 81 444 0 03 Jun 2015
Language Models for Image Captioning: The Quirks and What Works Jacob Devlin Hao Cheng Hao Fang Saurabh Gupta Li Deng Xiaodong He Geoffrey Zweig Margaret Mitchell 104 281 0 07 May 2015
Sequence to Sequence -- Video to Text Subhashini Venugopalan Marcus Rohrbach Jeff Donahue Raymond J. Mooney Trevor Darrell Kate Saenko 146 1,419 0 03 May 2015
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images Junhua Mao Xu Wei Yi Yang Jiang Wang Zhiheng Huang Alan Yuille 105 155 0 25 Apr 2015
Translating Videos to Natural Language Using Deep Recurrent Neural Networks Subhashini Venugopalan Huijuan Xu Jeff Donahue Marcus Rohrbach Raymond J. Mooney Kate Saenko 165 952 0 15 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions A. Karpathy Li Fei-Fei 154 5,595 0 07 Dec 2014
From Captions to Visual Concepts and Back Hao Fang Saurabh Gupta F. Iandola R. Srivastava Li Deng ... Xiaodong He Margaret Mitchell John C. Platt C. L. Zitnick Geoffrey Zweig VLM 131 1,312 0 18 Nov 2014
Show and Tell: A Neural Image Caption Generator Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 3DV 265 6,042 0 17 Nov 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and Description Jeff Donahue Lisa Anne Hendricks Marcus Rohrbach Subhashini Venugopalan S. Guadarrama Kate Saenko Trevor Darrell VLM 173 6,057 0 17 Nov 2014
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models Ryan Kiros Ruslan Salakhutdinov R. Zemel VLM 135 1,401 0 10 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,637 0 01 Sep 2014
LSDA: Large Scale Detection Through Adaptation Judy Hoffman S. Guadarrama Eric Tzeng Ronghang Hu Jeff Donahue Ross B. Girshick Trevor Darrell Kate Saenko ObjD 113 334 0 18 Jul 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 296 14,717 0 20 Jun 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 437 43,875 0 01 May 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 693 31,571 0 16 Jan 2013
Zero-Shot Learning Through Cross-Modal Transfer R. Socher M. Ganjoo Hamsa Sridhar Osbert Bastani Christopher D. Manning A. Ng BDL VLM 128 1,469 0 16 Jan 2013

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