---
title: "ICCV 2015 — accepted papers — Elamur Research"
description: "ICCV 2015 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/ieee-international-conference-on-computer-vision-iccv/2015/"
---
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# ICCV 2015 — accepted papers

ICCV 2015 is the 2015 edition of the IEEE International Conference on Computer Vision (ICCV). OpenAlex lists 534 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.

[**534** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-computer-vision-iccv/2015/#works) · [**3,083** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-computer-vision-iccv/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. **[Fast R-CNN ↗](https://doi.org/10.1109/iccv.2015.169)**Ross Girshick*28,025 citations*
2. **[Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ↗](https://doi.org/10.1109/iccv.2015.123)**Kaiming He, Xiangyu Zhang, Shaoqing Ren et al.*18,946 citations*
3. **[Learning Spatiotemporal Features with 3D Convolutional Networks ↗](https://doi.org/10.1109/iccv.2015.510)**Du Tran, Lubomir D. Bourdev, Rob Fergus et al.*9,555 citations*
4. **[Deep Learning Face Attributes in the Wild ↗](https://doi.org/10.1109/iccv.2015.425)**Ziwei Liu, Ping Luo, Xiaogang Wang et al.*7,398 citations*
5. **[Scalable Person Re-identification: A Benchmark ↗](https://doi.org/10.1109/iccv.2015.133)**Liang Zheng, Liyue Shen, Lu Tian et al.*4,506 citations*
6. **[Learning Deconvolution Network for Semantic Segmentation ↗](https://doi.org/10.1109/iccv.2015.178)**Hyeonwoo Noh, Seunghoon Hong, Bohyung Han*4,272 citations*
7. **[VQA: Visual Question Answering ↗](https://doi.org/10.1109/iccv.2015.279)**Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu et al.*4,217 citations*
8. **[FlowNet: Learning Optical Flow with Convolutional Networks ↗](https://doi.org/10.1109/iccv.2015.316)**Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg et al.*4,113 citations*
9. **[Multi-view Convolutional Neural Networks for 3D Shape Recognition ↗](https://doi.org/10.1109/iccv.2015.114)**Hang Su, Subhransu Maji, Evangelos Kalogerakis et al.*3,480 citations*
10. **[Holistically-Nested Edge Detection ↗](https://doi.org/10.1109/iccv.2015.164)**Saining Xie, Zhuowen Tu A*3,096 citations*

## All accepted papers (534)

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

1. **[Fast R-CNN ↗](https://doi.org/10.1109/iccv.2015.169)**Ross Girshick*28,025 citations*
2. **[Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification ↗](https://doi.org/10.1109/iccv.2015.123)**Kaiming He, Xiangyu Zhang, Shaoqing Ren et al.*18,946 citations*
3. **[Learning Spatiotemporal Features with 3D Convolutional Networks ↗](https://doi.org/10.1109/iccv.2015.510)**Du Tran, Lubomir D. Bourdev, Rob Fergus et al.*9,555 citations*
4. **[Deep Learning Face Attributes in the Wild ↗](https://doi.org/10.1109/iccv.2015.425)**Ziwei Liu, Ping Luo, Xiaogang Wang et al.*7,398 citations*
5. **[Scalable Person Re-identification: A Benchmark ↗](https://doi.org/10.1109/iccv.2015.133)**Liang Zheng, Liyue Shen, Lu Tian et al.*4,506 citations*
6. **[Learning Deconvolution Network for Semantic Segmentation ↗](https://doi.org/10.1109/iccv.2015.178)**Hyeonwoo Noh, Seunghoon Hong, Bohyung Han*4,272 citations*
7. **[VQA: Visual Question Answering ↗](https://doi.org/10.1109/iccv.2015.279)**Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu et al.*4,217 citations*
8. **[FlowNet: Learning Optical Flow with Convolutional Networks ↗](https://doi.org/10.1109/iccv.2015.316)**Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg et al.*4,113 citations*
9. **[Multi-view Convolutional Neural Networks for 3D Shape Recognition ↗](https://doi.org/10.1109/iccv.2015.114)**Hang Su, Subhransu Maji, Evangelos Kalogerakis et al.*3,480 citations*
10. **[Holistically-Nested Edge Detection ↗](https://doi.org/10.1109/iccv.2015.164)**Saining Xie, Zhuowen Tu A*3,096 citations*
11. **[Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture ↗](https://doi.org/10.1109/iccv.2015.304)**David Eigen, Rob Fergus*2,783 citations*
12. **[Unsupervised Visual Representation Learning by Context Prediction ↗](https://doi.org/10.1109/iccv.2015.167)**Carl Doersch, Abhinav Gupta, Alexei A. Efros*2,527 citations*
13. **[PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization ↗](https://doi.org/10.1109/iccv.2015.336)**Alex Kendall, Matthew Koichi Grimes, Roberto Cipolla*2,431 citations*
14. **[Conditional Random Fields as Recurrent Neural Networks ↗](https://doi.org/10.1109/iccv.2015.179)**Shuai Zheng, Sadeep Jayasumana, Bernardino Romera‐Paredes et al.*2,330 citations*
15. **[Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books](https://md.research.elamur.ai/free/en/papers/zhu-2015-aligning-books-movies-towards-story/)**Yukun Zhu, Ryan Kiros, Rich Zemel et al.*2,216 citations · our summary*
16. **[Bilinear CNN Models for Fine-Grained Visual Recognition ↗](https://doi.org/10.1109/iccv.2015.170)**Tsung‐Yu Lin, Aruni RoyChowdhury, Subhransu Maji*2,135 citations*
17. **[DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving ↗](https://doi.org/10.1109/iccv.2015.312)**Chenyi Chen, Ari Seff, Alain L. Kornhauser et al.*1,819 citations*
18. **[Learning Spatially Regularized Correlation Filters for Visual Tracking ↗](https://doi.org/10.1109/iccv.2015.490)**Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan et al.*1,815 citations*
19. **[Hierarchical Convolutional Features for Visual Tracking ↗](https://doi.org/10.1109/iccv.2015.352)**Chao Ma, Jia‐Bin Huang, Xiaokang Yang et al.*1,776 citations*
20. **[Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models ↗](https://doi.org/10.1109/iccv.2015.303)**Bryan A. Plummer, Liwei Wang, Chris M. Cervantes et al.*1,390 citations*
21. **[Sequence to Sequence — Video to Text ↗](https://doi.org/10.1109/iccv.2015.515)**Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue et al.*1,352 citations*
22. **[Simultaneous Deep Transfer Across Domains and Tasks ↗](https://doi.org/10.1109/iccv.2015.463)**Eric Tzeng, Judy Hoffman, Trevor Jackson Darrell et al.*1,149 citations*
23. **[BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation ↗](https://doi.org/10.1109/iccv.2015.191)**Jifeng Dai, Kaiming He, Jian Sun*1,092 citations*
24. **[Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation ↗](https://doi.org/10.1109/iccv.2015.203)**George Papandreou, Liang-Chieh Chen, Kevin P. Murphy et al.*1,005 citations*
25. **[Unsupervised Learning of Visual Representations Using Videos ↗](https://doi.org/10.1109/iccv.2015.320)**Xiaolong Wang, Abhinav Gupta*990 citations*

[See all 534 papers in ICCV 2015 — accepted papers →](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-computer-vision-iccv/2015/papers/)

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

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

1. **[Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books](https://md.research.elamur.ai/free/en/papers/zhu-2015-aligning-books-movies-towards-story/) [IEEE International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-computer-vision-iccv/)**Yukun Zhu, Ryan Kiros, Richard Zemel, et al.*2015 · 3,083 citations*

## 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.

[🧑‍🔬**Antonio B. Torralba**1 work here · 3,083 citations](https://md.research.elamur.ai/free/en/authors/antonio-b-torralba/) · [🧑‍🔬**Raquel Urtasun**1 work here · 3,083 citations](https://md.research.elamur.ai/free/en/authors/raquel-urtasun/) · [🧑‍🔬**Richard S. Zemel**1 work here · 3,083 citations](https://md.research.elamur.ai/free/en/authors/richard-s-zemel/) · [🧑‍🔬**Ruslan Salakhutdinov**1 work here · 3,083 citations](https://md.research.elamur.ai/free/en/authors/ruslan-salakhutdinov/) · [🧑‍🔬**Ryan Kiros**1 work here · 3,083 citations](https://md.research.elamur.ai/free/en/authors/ryan-kiros/) · [🧑‍🔬**Sanja Fidler**1 work here · 3,083 citations](https://md.research.elamur.ai/free/en/authors/sanja-fidler/)

## Top institutions

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

[🔬**Canadian Institute for Advanced Research** Toronto · Canada 1 work here](https://md.research.elamur.ai/free/en/labs/canadian-institute-for-advanced-research/) · [🎓**University of Toronto** Toronto · Canada 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 1 work here](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/)

works and citations from OpenAlex and our library.

- [next → ICCV 2017](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-computer-vision-iccv/2017/)
- [↑ back to ICCV](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-computer-vision-iccv/)