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title: "IEEE Computer Society Conference on Computer Vision and"
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# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2015 — accepted papers

IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2015 is the 2015 edition of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (publisher: Institute of Electrical and Electronics Engineers). OpenAlex lists 602 papers of it; our library holds 4 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**602** papers in the proceedings](#all) · [**4** works in our library](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/#works) · [**15,302** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Going deeper with convolutions ↗](https://doi.org/10.1109/cvpr.2015.7298594)**Christian Szegedy, Wei Liu, Yangqing Jia et al.*45,832 citations*
2. **[Fully convolutional networks for semantic segmentation ↗](https://doi.org/10.1109/cvpr.2015.7298965)**Jonathan Long, Evan Shelhamer, Trevor Jackson Darrell*36,250 citations*
3. **[FaceNet: A unified embedding for face recognition and clustering](https://md.research.elamur.ai/free/en/papers/schroff-2015-facenet-unified-embedding-face-recognition/)**Florian Schroff, Dmitry Kalenichenko, James Philbin*11,681 citations · our summary*
4. **[Show and tell: A neural image caption generator ↗](https://doi.org/10.1109/cvpr.2015.7298935)**Oriol Vinyals, Alexander Toshev, Samy Bengio et al.*6,124 citations*
5. **[Long-term recurrent convolutional networks for visual recognition and description ↗](https://doi.org/10.1109/cvpr.2015.7298878)**Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama et al.*5,009 citations*
6. **[Deep visual-semantic alignments for generating image descriptions ↗](https://doi.org/10.1109/cvpr.2015.7298932)**Andrej Karpathy, Li Fei-Fei*4,749 citations*
7. **[CIDEr: Consensus-based image description evaluation ↗](https://doi.org/10.1109/cvpr.2015.7299087)**Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh*4,649 citations*
8. **[3D ShapeNets: A deep representation for volumetric shapes ↗](https://doi.org/10.1109/cvpr.2015.7298801)**Zhirong Wu, Shuran Song, Aditya Khosla et al.*4,550 citations*
9. **[Single image super-resolution from transformed self-exemplars ↗](https://doi.org/10.1109/cvpr.2015.7299156)**Jia‐Bin Huang, Abhishek Singh, Narendra Ahuja*3,472 citations*
10. **[Deep neural networks are easily fooled: High confidence predictions for unrecognizable images ↗](https://doi.org/10.1109/cvpr.2015.7298640)**Anh Nguyen, Jason Yosinski, Jeff Clune*3,187 citations*

## All accepted papers (602)

The most cited first; 4 with our summary link to their page here, the others to the original.

1. **[Going deeper with convolutions ↗](https://doi.org/10.1109/cvpr.2015.7298594)**Christian Szegedy, Wei Liu, Yangqing Jia et al.*45,832 citations*
2. **[Fully convolutional networks for semantic segmentation ↗](https://doi.org/10.1109/cvpr.2015.7298965)**Jonathan Long, Evan Shelhamer, Trevor Jackson Darrell*36,250 citations*
3. **[FaceNet: A unified embedding for face recognition and clustering](https://md.research.elamur.ai/free/en/papers/schroff-2015-facenet-unified-embedding-face-recognition/)**Florian Schroff, Dmitry Kalenichenko, James Philbin*11,681 citations · our summary*
4. **[Show and tell: A neural image caption generator ↗](https://doi.org/10.1109/cvpr.2015.7298935)**Oriol Vinyals, Alexander Toshev, Samy Bengio et al.*6,124 citations*
5. **[Long-term recurrent convolutional networks for visual recognition and description ↗](https://doi.org/10.1109/cvpr.2015.7298878)**Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama et al.*5,009 citations*
6. **[Deep visual-semantic alignments for generating image descriptions ↗](https://doi.org/10.1109/cvpr.2015.7298932)**Andrej Karpathy, Li Fei-Fei*4,749 citations*
7. **[CIDEr: Consensus-based image description evaluation ↗](https://doi.org/10.1109/cvpr.2015.7299087)**Ramakrishna Vedantam, C. Lawrence Zitnick, Devi Parikh*4,649 citations*
8. **[3D ShapeNets: A deep representation for volumetric shapes ↗](https://doi.org/10.1109/cvpr.2015.7298801)**Zhirong Wu, Shuran Song, Aditya Khosla et al.*4,550 citations*
9. **[Single image super-resolution from transformed self-exemplars ↗](https://doi.org/10.1109/cvpr.2015.7299156)**Jia‐Bin Huang, Abhishek Singh, Narendra Ahuja*3,472 citations*
10. **[Deep neural networks are easily fooled: High confidence predictions for unrecognizable images ↗](https://doi.org/10.1109/cvpr.2015.7298640)**Anh Nguyen, Jason Yosinski, Jeff Clune*3,187 citations*
11. **[ActivityNet: A large-scale video benchmark for human activity understanding ↗](https://doi.org/10.1109/cvpr.2015.7298698)**Fabian Caba Heilbron, Victor A Escorcia, Bernard Ghanem et al.*2,535 citations*
12. **[Object scene flow for autonomous vehicles ↗](https://doi.org/10.1109/cvpr.2015.7298925)**Moritz Menze, Andreas Geiger*2,183 citations*
13. **[Person re-identification by Local Maximal Occurrence representation and metric learning ↗](https://doi.org/10.1109/cvpr.2015.7298832)**Shengcai Liao, Yang Hu, Xiangyu Zhu et al.*2,091 citations*
14. **[Beyond short snippets: Deep networks for video classification ↗](https://doi.org/10.1109/cvpr.2015.7299101)**Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan et al.*2,062 citations*
15. **[Hierarchical recurrent neural network for skeleton based action recognition ↗](https://doi.org/10.1109/cvpr.2015.7298714)**Yong Du, Wei Wang, Liang Wang*1,895 citations*
16. **[SUN RGB-D: A RGB-D scene understanding benchmark suite ↗](https://doi.org/10.1109/cvpr.2015.7298655)**Shuran Song, Samuel P. Lichtenberg, Jianxiong Xiao*1,860 citations*
17. **[Understanding deep image representations by inverting them ↗](https://doi.org/10.1109/cvpr.2015.7299155)**Aravindh Mahendran, Andrea Vedaldi*1,771 citations*
18. **[Convolutional neural networks at constrained time cost ↗](https://doi.org/10.1109/cvpr.2015.7299173)**Kaiming He, Jian Sun*1,510 citations*
19. **[Hypercolumns for object segmentation and fine-grained localization ↗](https://doi.org/10.1109/cvpr.2015.7298642)**Bharath Hariharan, Pablo Arbeláez, Ross Girshick et al.*1,475 citations*
20. **[Learning to compare image patches via convolutional neural networks ↗](https://doi.org/10.1109/cvpr.2015.7299064)**Sergey Zagoruyko, Nikos Komodakis A*1,412 citations*
21. **[A convolutional neural network cascade for face detection ↗](https://doi.org/10.1109/cvpr.2015.7299170)**Haoxiang Li, Zhe Lin, Xiaohui Shen et al.*1,363 citations*
22. **[Efficient object localization using Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2015.7298664)**Jonathan Tompson, Ross Goroshin, Arjun Jain et al.*1,309 citations*
23. **[From captions to visual concepts and back ↗](https://doi.org/10.1109/cvpr.2015.7298754)**Hao Fang, Saurabh Gupta, Forrest Iandola et al.*1,287 citations*
24. **[An improved deep learning architecture for person re-identification ↗](https://doi.org/10.1109/cvpr.2015.7299016)**Ejaz Ahmed, Michael Jones, Tim K. Marks*1,248 citations*
25. **[Supervised Discrete Hashing ↗](https://doi.org/10.1109/cvpr.2015.7298598)**Fumin Shen, Chunhua Shen, Wei Liu et al.*1,231 citations*

[See all 602 papers in IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2015 — accepted papers →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/papers/)

## Papers with our summary in our library (4)

The most cited first (OpenAlex citations plus our library's).

1. **[FaceNet: A Unified Embedding for Face Recognition and Clustering](https://md.research.elamur.ai/free/en/papers/schroff-2015-facenet-unified-embedding-face-recognition/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Florian Schroff, Dmitry Kalenichenko, James Philbin*2015 · 11,940 citations*
2. **[Generation and Comprehension of Unambiguous Object Descriptions](https://md.research.elamur.ai/free/en/papers/mao-2015-generation-comprehension-unambiguous-object-descriptions/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Junhua Mao, Jonathan Huang, Alexander Toshev, et al.*2015 · 1,361 citations*
3. **[Neural Module Networks](https://md.research.elamur.ai/free/en/papers/andreas-2015-neural-module-networks/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Jacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.*2015 · 1,080 citations*
4. **[Visual7W: Grounded Question Answering in Images](https://md.research.elamur.ai/free/en/papers/zhu-2015-visual7w-grounded-question-answering-images/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Yuke Zhu, Oliver Groth, Michael Bernstein, et al.*2015 · 921 citations*

## Top topics

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

[Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/)

## Fields

[Computer Science (4)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Neuroscience (1)](https://md.research.elamur.ai/free/en/shelves/neuroscience/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Dmitry Kalenichenko**1 work here · 11,940 citations](https://md.research.elamur.ai/free/en/authors/dmitry-kalenichenko/) · [🧑‍🔬**Alan Yuille**1 work here · 1,361 citations](https://md.research.elamur.ai/free/en/authors/alan-yuille/) · [🧑‍🔬**Alexander Toshev**1 work here · 1,361 citations](https://md.research.elamur.ai/free/en/authors/alexander-toshev/) · [🧑‍🔬**Kevin Murphy**1 work here · 1,361 citations](https://md.research.elamur.ai/free/en/authors/kevin-murphy/) · [🧑‍🔬**Dan Klein**1 work here · 1,080 citations](https://md.research.elamur.ai/free/en/authors/dan-klein/) · [🧑‍🔬**Jacob Andreas**1 work here · 1,080 citations](https://md.research.elamur.ai/free/en/authors/jacob-andreas/) · [🧑‍🔬**Marcus Rohrbach**1 work here · 1,080 citations](https://md.research.elamur.ai/free/en/authors/marcus-rohrbach/) · [🧑‍🔬**Trevor Darrell**1 work here · 1,080 citations](https://md.research.elamur.ai/free/en/authors/trevor-darrell/) · [🧑‍🔬**Li Fei-Fei**1 work here · 921 citations](https://md.research.elamur.ai/free/en/authors/li-fei-fei/) · [🧑‍🔬**Michael S. Bernstein**1 work here · 921 citations](https://md.research.elamur.ai/free/en/authors/michael-s-bernstein/) · [🧑‍🔬**Oliver Groth**1 work here · 921 citations](https://md.research.elamur.ai/free/en/authors/oliver-groth/) · [🧑‍🔬**Yuke Zhu**1 work here · 921 citations](https://md.research.elamur.ai/free/en/authors/yuke-zhu/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**Google** Mountain View · United States 2 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Johns Hopkins University** Baltimore · United States 1 work here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**University of California, Los Angeles** Los Angeles · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**University of Oxford** Oxford · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🎓**Technische Universität Dresden** Dresden · Germany 1 work here](https://md.research.elamur.ai/free/en/universities/technische-universitat-dresden/) · [🎓**University of California, Berkeley** Berkeley · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Stanford University** Stanford · United States 1 work here](https://md.research.elamur.ai/free/en/universities/stanford-university/)

works and citations from OpenAlex and our library.

- [← previous IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2013](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2013/)
- [next → IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2016](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2016/)
- [↑ back to IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)