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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 2016 — accepted papers

IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2016 is the 2016 edition of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (publisher: Institute of Electrical and Electronics Engineers). OpenAlex lists 646 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**646** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2016/#works) · [**2,374** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2016/#works)

## Most cited papers

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

1. **[Deep Residual Learning for Image Recognition ↗](https://doi.org/10.1109/cvpr.2016.90)**Kaiming He, Xiangyu Zhang, Shaoqing Ren et al.*221,332 citations*
2. **[You Only Look Once: Unified, Real-Time Object Detection ↗](https://doi.org/10.1109/cvpr.2016.91)**Joseph Redmon, Santosh Divvala, Ross Girshick et al.*50,822 citations*
3. **[Rethinking the Inception Architecture for Computer Vision ↗](https://doi.org/10.1109/cvpr.2016.308)**Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe et al.*30,578 citations*
4. **[The Cityscapes Dataset for Semantic Urban Scene Understanding ↗](https://doi.org/10.1109/cvpr.2016.350)**Marius Cordts, Mohamed Omran, Sebastian Ramos et al.*11,836 citations*
5. **[Learning Deep Features for Discriminative Localization ↗](https://doi.org/10.1109/cvpr.2016.319)**Bolei Zhou, Aditya Khosla, Àgata Lapedriza et al.*10,709 citations*
6. **[Accurate Image Super-Resolution Using Very Deep Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2016.182)**Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee*7,571 citations*
7. **[Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network ↗](https://doi.org/10.1109/cvpr.2016.207)**Wenzhe Shi, José Caballero, Ferenc Huszár et al.*7,203 citations*
8. **[Structure-from-Motion Revisited ↗](https://doi.org/10.1109/cvpr.2016.445)**Johannes L. Schönberger, Jan‐Michael Frahm*6,212 citations*
9. **[Image Style Transfer Using Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.265)**Leon A. Gatys, Alexander S. Ecker, Matthias Bethge*5,843 citations*
10. **[Context Encoders: Feature Learning by Inpainting ↗](https://doi.org/10.1109/cvpr.2016.278)**Deepak Pathak, Philipp Krähenbühl, Jeff Donahue et al.*5,410 citations*

## All accepted papers (646)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Deep Residual Learning for Image Recognition ↗](https://doi.org/10.1109/cvpr.2016.90)**Kaiming He, Xiangyu Zhang, Shaoqing Ren et al.*221,332 citations*
2. **[You Only Look Once: Unified, Real-Time Object Detection ↗](https://doi.org/10.1109/cvpr.2016.91)**Joseph Redmon, Santosh Divvala, Ross Girshick et al.*50,822 citations*
3. **[Rethinking the Inception Architecture for Computer Vision ↗](https://doi.org/10.1109/cvpr.2016.308)**Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe et al.*30,578 citations*
4. **[The Cityscapes Dataset for Semantic Urban Scene Understanding ↗](https://doi.org/10.1109/cvpr.2016.350)**Marius Cordts, Mohamed Omran, Sebastian Ramos et al.*11,836 citations*
5. **[Learning Deep Features for Discriminative Localization ↗](https://doi.org/10.1109/cvpr.2016.319)**Bolei Zhou, Aditya Khosla, Àgata Lapedriza et al.*10,709 citations*
6. **[Accurate Image Super-Resolution Using Very Deep Convolutional Networks ↗](https://doi.org/10.1109/cvpr.2016.182)**Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee*7,571 citations*
7. **[Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network ↗](https://doi.org/10.1109/cvpr.2016.207)**Wenzhe Shi, José Caballero, Ferenc Huszár et al.*7,203 citations*
8. **[Structure-from-Motion Revisited ↗](https://doi.org/10.1109/cvpr.2016.445)**Johannes L. Schönberger, Jan‐Michael Frahm*6,212 citations*
9. **[Image Style Transfer Using Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.265)**Leon A. Gatys, Alexander S. Ecker, Matthias Bethge*5,843 citations*
10. **[Context Encoders: Feature Learning by Inpainting ↗](https://doi.org/10.1109/cvpr.2016.278)**Deepak Pathak, Philipp Krähenbühl, Jeff Donahue et al.*5,410 citations*
11. **[DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.282)**Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard B*5,129 citations*
12. **[Social LSTM: Human Trajectory Prediction in Crowded Spaces ↗](https://doi.org/10.1109/cvpr.2016.110)**Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan et al.*3,483 citations*
13. **[NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis ↗](https://doi.org/10.1109/cvpr.2016.115)**Amir Shahroudy, Jun Liu, Tian-Tsong Ng et al.*3,131 citations*
14. **[Deeply-Recursive Convolutional Network for Image Super-Resolution ↗](https://doi.org/10.1109/cvpr.2016.181)**Jiwon Kim, Jung Kwon Lee, Kyoung Mu Lee*3,025 citations*
15. **[Convolutional Pose Machines ↗](https://doi.org/10.1109/cvpr.2016.511)**Shih-En Wei, Varun Ramakrishna, Takeo Kanade A et al.*2,838 citations*
16. **[Learning Multi-domain Convolutional Neural Networks for Visual Tracking ↗](https://doi.org/10.1109/cvpr.2016.465)**Hyeonseob Nam, Bohyung Han*2,727 citations*
17. **[Convolutional Two-Stream Network Fusion for Video Action Recognition ↗](https://doi.org/10.1109/cvpr.2016.213)**Christoph Feichtenhofer, Axel J. Pinz, Andrew Zisserman*2,684 citations*
18. **[Training Region-Based Object Detectors with Online Hard Example Mining ↗](https://doi.org/10.1109/cvpr.2016.89)**Abhinav Shrivastava, Abhinav Gupta, Ross Girshick*2,586 citations*
19. **[NetVLAD: CNN Architecture for Weakly Supervised Place Recognition ↗](https://doi.org/10.1109/cvpr.2016.572)**Relja Arandjelović, Petr Gronát, Akihiko Torii et al.*2,584 citations*
20. **[A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation ↗](https://doi.org/10.1109/cvpr.2016.438)**Nikolaus Mayer, Eddy Ilg, Philip Hausser et al.*2,301 citations*
21. **[The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes ↗](https://doi.org/10.1109/cvpr.2016.352)**Germán Ros, Laura Sellart, Joanna Materzyńska et al.*2,255 citations*
22. **[Single-Image Crowd Counting via Multi-Column Convolutional Neural Network ↗](https://doi.org/10.1109/cvpr.2016.70)**Yingying Zhang, Desen Zhou, Siqin Chen et al.*2,241 citations*
23. **[Stacked Attention Networks for Image Question Answering ↗](https://doi.org/10.1109/cvpr.2016.10)**Zichao Yang, Xiaodong He, Jianfeng Gao et al.*1,998 citations*
24. **[A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation ↗](https://doi.org/10.1109/cvpr.2016.85)**Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams et al.*1,989 citations*
25. **[3D Semantic Parsing of Large-Scale Indoor Spaces ↗](https://doi.org/10.1109/cvpr.2016.170)**Iro Armeni, Ozan Şener, Amir Zamir et al.*1,892 citations*

[See all 646 papers in IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2016 — accepted papers →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2016/papers/)

## Papers with our summary in our library (1)

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

1. **[Self-critical Sequence Training for Image Captioning](https://md.research.elamur.ai/free/en/papers/rennie-2016-self-critical-sequence-training-image/) [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/)**Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, et al.*2016 · 2,374 citations*

## Top topics

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

[Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Steven Rennie**1 work here · 2,374 citations](https://md.research.elamur.ai/free/en/authors/steven-rennie/)

## Top institutions

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

[🏢**IBM** Armonk · United States 1 work here](https://md.research.elamur.ai/free/en/companies/ibm/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 1 work here](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/)

works and citations from OpenAlex and our library.

- [← previous IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2015](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2015/)
- [next → IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2017](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/)
- [↑ 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/)