📰 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.

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 RecognitionKaiming He, Xiangyu Zhang, Shaoqing Ren et al.221,332 citations
2. You Only Look Once: Unified, Real-Time Object DetectionJoseph Redmon, Santosh Divvala, Ross Girshick et al.50,822 citations
3. Rethinking the Inception Architecture for Computer VisionChristian Szegedy, Vincent Vanhoucke, Sergey Ioffe et al.30,578 citations
4. The Cityscapes Dataset for Semantic Urban Scene UnderstandingMarius Cordts, Mohamed Omran, Sebastian Ramos et al.11,836 citations
5. Learning Deep Features for Discriminative LocalizationBolei Zhou, Aditya Khosla, Àgata Lapedriza et al.10,709 citations
6. Accurate Image Super-Resolution Using Very Deep Convolutional NetworksJiwon Kim, Jung Kwon Lee, Kyoung Mu Lee7,571 citations
7. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural NetworkWenzhe Shi, José Caballero, Ferenc Huszár et al.7,203 citations
8. Structure-from-Motion RevisitedJohannes L. Schönberger, Jan‐Michael Frahm6,212 citations
9. Image Style Transfer Using Convolutional Neural NetworksLeon A. Gatys, Alexander S. Ecker, Matthias Bethge5,843 citations
10. Context Encoders: Feature Learning by InpaintingDeepak 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 RecognitionKaiming He, Xiangyu Zhang, Shaoqing Ren et al.221,332 citations
2. You Only Look Once: Unified, Real-Time Object DetectionJoseph Redmon, Santosh Divvala, Ross Girshick et al.50,822 citations
3. Rethinking the Inception Architecture for Computer VisionChristian Szegedy, Vincent Vanhoucke, Sergey Ioffe et al.30,578 citations
4. The Cityscapes Dataset for Semantic Urban Scene UnderstandingMarius Cordts, Mohamed Omran, Sebastian Ramos et al.11,836 citations
5. Learning Deep Features for Discriminative LocalizationBolei Zhou, Aditya Khosla, Àgata Lapedriza et al.10,709 citations
6. Accurate Image Super-Resolution Using Very Deep Convolutional NetworksJiwon Kim, Jung Kwon Lee, Kyoung Mu Lee7,571 citations
7. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural NetworkWenzhe Shi, José Caballero, Ferenc Huszár et al.7,203 citations
8. Structure-from-Motion RevisitedJohannes L. Schönberger, Jan‐Michael Frahm6,212 citations
9. Image Style Transfer Using Convolutional Neural NetworksLeon A. Gatys, Alexander S. Ecker, Matthias Bethge5,843 citations
10. Context Encoders: Feature Learning by InpaintingDeepak Pathak, Philipp Krähenbühl, Jeff Donahue et al.5,410 citations
11. DeepFool: A Simple and Accurate Method to Fool Deep Neural NetworksSeyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Pascal Frossard B5,129 citations
12. Social LSTM: Human Trajectory Prediction in Crowded SpacesAlexandre Alahi, Kratarth Goel, Vignesh Ramanathan et al.3,483 citations
13. NTU RGB+D: A Large Scale Dataset for 3D Human Activity AnalysisAmir Shahroudy, Jun Liu, Tian-Tsong Ng et al.3,131 citations
14. Deeply-Recursive Convolutional Network for Image Super-ResolutionJiwon Kim, Jung Kwon Lee, Kyoung Mu Lee3,025 citations
15. Convolutional Pose MachinesShih-En Wei, Varun Ramakrishna, Takeo Kanade A et al.2,838 citations
16. Learning Multi-domain Convolutional Neural Networks for Visual TrackingHyeonseob Nam, Bohyung Han2,727 citations
17. Convolutional Two-Stream Network Fusion for Video Action RecognitionChristoph Feichtenhofer, Axel J. Pinz, Andrew Zisserman2,684 citations
18. Training Region-Based Object Detectors with Online Hard Example MiningAbhinav Shrivastava, Abhinav Gupta, Ross Girshick2,586 citations
19. NetVLAD: CNN Architecture for Weakly Supervised Place RecognitionRelja 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 EstimationNikolaus 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 ScenesGermán Ros, Laura Sellart, Joanna Materzyńska et al.2,255 citations
22. Single-Image Crowd Counting via Multi-Column Convolutional Neural NetworkYingying Zhang, Desen Zhou, Siqin Chen et al.2,241 citations
23. Stacked Attention Networks for Image Question AnsweringZichao Yang, Xiaodong He, Jianfeng Gao et al.1,998 citations
24. A Benchmark Dataset and Evaluation Methodology for Video Object SegmentationFederico Perazzi, Jordi Pont-Tuset, Brian McWilliams et al.1,989 citations
25. 3D Semantic Parsing of Large-Scale Indoor SpacesIro 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 →

📄 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 CaptioningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionSteven 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)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

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

🏢IBMArmonk · United States1 work here🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States1 work here

works and citations from OpenAlex and our library.

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