Iccv 2013 Rebuttal Essay

A well written rebuttal letter is critical in any resubmission. 

Once the initial reaction, be that joy, anger or frustration,  to receiving feedback from editors and reviewers about one’s work has subsided, it’s time for our authors to make one of two decisions:  continue to go after a Nature Method paper  or take their work to another journal.

A realistic look at how the reviewers’ requests can be met will go a long way in helping to determine whether a revision is likely successful and to avoid a futile resubmission.

If authors want to resubmit in cases where the editorial decision was negative, and referees were critical and asked for a lot of additional information, the first step, before embarking on any revision, should be an appeal (see the post on “How to write an appeal letter” for more details) and rebuttal letter to the editor to discuss whether a proposed list of additional information is likely to address the referees concerns.

Authors who receive a positive editorial decision and who are confident that they can address the reviewers’ points nevertheless have to submit a rebuttal letter with their revision.

The rebuttal letter is an author’s chance to directly reply to the reviewers, announce plans to improve the work, clear up misunderstandings or defend aspects of the work. How it is written can make a big difference in whether or not an appeal is granted and how the reviewers judge the revision.

The DOs:

  • Do acknowledge that the reviewers spent a substantial amount of time looking over the paper – rebuttal letters that thank the referees for their time and comments set a positive tone and ensure that the exchange takes place on a productive footing.
  • Do acknowledge that a misunderstanding may be due to poor presentation on your part, not lack of expertise on the reviewers’,  and phrase your reply accordingly,  taking the opportunity to clarify.
  • Do copy the full text of each reviewer’s comments in your rebuttal and reply to every concern raised by each reviewer immediately after each point in a concise manner that clearly states how you plan to address it (experimentally or editorially) or point to data that already addresses it which the reviewer appears to have missed.
  • If you cannot address a point at all, explain why not.
  • Do number the comments or at least break them into paragraphs, and use different fonts or text colors to distinguish the reviewer comments and your reply, rather than write a single reply to an entire review in summary form.
  • Do include relevant citations with full references or dois so they can be easily looked up, rather than just cite by First Author et al.
  • Do include pertinent new data as embedded figures, tables, or attachments,   indicate where in the manuscript you added the information; give page numbers, figure panels, Supplementary material etc., so editors and reviewers don’t have to go on a search for the new data. If any of this information will not be included in the revised paper explain why not.
  • Do be succinct and to the point and avoid epic discourses.  In the case where more than one referee has raised the same concern, it’s best to cite “see response to point 2 from Reviewer #1”, for example.
  • Do remember that each reviewer sees all comments and your replies so be equally respectful to all.

The DON’Ts:

  • Don’t vent or accuse the reviewers of bias or incompetence. We have read countless times that “ ref 2 is lacking expertise and completely misses the point” etc. and one wonders what the goal of such blanket statements is. They serve no productive purpose and instead potentially bias all referees, even the positive ones, against the work.
  • Don’t plead that for personal or monetary reasons critically important experiments can’t be performed. While we hear the plight of underfunded labs we don’t make exceptions for these reasons.
  • Don’t ignore specific requests by referees without comment and selectively only answer a few queries.
  • Don’t rephrase a referees’ point to give it a slightly different meaning that you can more easily address.

Don’t miss parts 1 and 3 of this series of posts covering cover letters and appeal letters. We encourage questions, comments and feedback below. The editors will do their best to answer any questions you have.

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

Papers


Latent Task Adaptation with Large-Scale Hierarchies
[pdf]
[bibtex]
@InProceedings{Jia_2013_ICCV,
author = {Jia, Yangqing and Darrell, Trevor},
title = {Latent Task Adaptation with Large-Scale Hierarchies},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Image Co-segmentation via Consistent Functional Maps
[pdf]
[bibtex]
@InProceedings{Wang_2013_ICCV,
author = {Wang, Fan and Huang, Qixing and Guibas, Leonidas J.},
title = {Image Co-segmentation via Consistent Functional Maps},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Manipulation Pattern Discovery: A Nonparametric Bayesian Approach
[pdf]
[bibtex]
@InProceedings{Ni_2013_ICCV,
author = {Ni, Bingbing and Moulin, Pierre},
title = {Manipulation Pattern Discovery: A Nonparametric Bayesian Approach},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning
[pdf]
[bibtex]
@InProceedings{Feng_2013_ICCV,
author = {Feng, Zheyun and Jin, Rong and Jain, Anil},
title = {Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Hybrid Deep Learning for Face Verification
[pdf]
[bibtex]
@InProceedings{Sun_2013_ICCV,
author = {Sun, Yi and Wang, Xiaogang and Tang, Xiaoou},
title = {Hybrid Deep Learning for Face Verification},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Latent Data Association: Bayesian Model Selection for Multi-target Tracking
[pdf]
[bibtex]
@InProceedings{Segal_2013_ICCV,
author = {Segal, Aleksandr V. and Reid, Ian},
title = {Latent Data Association: Bayesian Model Selection for Multi-target Tracking},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Recursive Estimation of the Stein Center of SPD Matrices and Its Applications
[pdf]
[bibtex]
@InProceedings{Salehian_2013_ICCV,
author = {Salehian, Hesamoddin and Cheng, Guang and Vemuri, Baba C. and Ho, Jeffrey},
title = {Recursive Estimation of the Stein Center of SPD Matrices and Its Applications},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Real-Time Solution to the Absolute Pose Problem with Unknown Radial Distortion and Focal Length
[pdf]
[bibtex]
@InProceedings{Kukelova_2013_ICCV,
author = {Kukelova, Zuzana and Bujnak, Martin and Pajdla, Tomas},
title = {Real-Time Solution to the Absolute Pose Problem with Unknown Radial Distortion and Focal Length},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Sieving Regression Forest Votes for Facial Feature Detection in the Wild
[pdf]
[bibtex]
@InProceedings{Yang_2013_ICCV,
author = {Yang, Heng and Patras, Ioannis},
title = {Sieving Regression Forest Votes for Facial Feature Detection in the Wild},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Constant Time Weighted Median Filtering for Stereo Matching and Beyond
[pdf]
[bibtex]
@InProceedings{Ma_2013_ICCV,
author = {Ma, Ziyang and He, Kaiming and Wei, Yichen and Sun, Jian and Wu, Enhua},
title = {Constant Time Weighted Median Filtering for Stereo Matching and Beyond},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Feature Weighting via Optimal Thresholding for Video Analysis
[pdf]
[bibtex]
@InProceedings{Xu_2013_ICCV,
author = {Xu, Zhongwen and Yang, Yi and Tsang, Ivor and Sebe, Nicu and Hauptmann, Alexander G.},
title = {Feature Weighting via Optimal Thresholding for Video Analysis},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Restoring an Image Taken through a Window Covered with Dirt or Rain
[pdf]
[bibtex]
@InProceedings{Eigen_2013_ICCV,
author = {Eigen, David and Krishnan, Dilip and Fergus, Rob},
title = {Restoring an Image Taken through a Window Covered with Dirt or Rain},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Tracking via Robust Multi-task Multi-view Joint Sparse Representation
[pdf]
[bibtex]
@InProceedings{Hong_2013_ICCV,
author = {Hong, Zhibin and Mei, Xue and Prokhorov, Danil and Tao, Dacheng},
title = {Tracking via Robust Multi-task Multi-view Joint Sparse Representation},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

A Simple Model for Intrinsic Image Decomposition with Depth Cues
[pdf]
[bibtex]
@InProceedings{Chen_2013_ICCV,
author = {Chen, Qifeng and Koltun, Vladlen},
title = {A Simple Model for Intrinsic Image Decomposition with Depth Cues},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras
[pdf]
[bibtex]
@InProceedings{Lin_2013_ICCV,
author = {Lin, Dahua and Fidler, Sanja and Urtasun, Raquel},
title = {Holistic Scene Understanding for 3D Object Detection with RGBD Cameras},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model
[pdf]
[bibtex]
@InProceedings{Yu_2013_ICCV,
author = {Yu, Xiang and Huang, Junzhou and Zhang, Shaoting and Yan, Wang and Metaxas, Dimitris N.},
title = {Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Online Robust Non-negative Dictionary Learning for Visual Tracking
[pdf]
[bibtex]
@InProceedings{Wang_2013_ICCV,
author = {Wang, Naiyan and Wang, Jingdong and Yeung, Dit-Yan},
title = {Online Robust Non-negative Dictionary Learning for Visual Tracking},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

A Max-Margin Perspective on Sparse Representation-Based Classification
[pdf]
[bibtex]
@InProceedings{Wang_2013_ICCV,
author = {Wang, Zhaowen and Yang, Jianchao and Nasrabadi, Nasser and Huang, Thomas},
title = {A Max-Margin Perspective on Sparse Representation-Based Classification},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes
[pdf]
[bibtex]
@InProceedings{Shankar_2013_ICCV,
author = {Shankar, Sukrit and Lasenby, Joan and Cipolla, Roberto},
title = {Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Correlation Adaptive Subspace Segmentation by Trace Lasso
[pdf]
[bibtex]
@InProceedings{Lu_2013_ICCV,
author = {Lu, Canyi and Feng, Jiashi and Lin, Zhouchen and Yan, Shuicheng},
title = {Correlation Adaptive Subspace Segmentation by Trace Lasso},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

DCSH - Matching Patches in RGBD Images
[pdf]
[bibtex]
@InProceedings{Eshet_2013_ICCV,
author = {Eshet, Yaron and Korman, Simon and Ofek, Eyal and Avidan, Shai},
title = {DCSH - Matching Patches in RGBD Images},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos
[pdf]
[bibtex]
@InProceedings{Wu_2013_ICCV,
author = {Wu, Baoyuan and Lyu, Siwei and Hu, Bao-Gang and Ji, Qiang},
title = {Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Subpixel Scanning Invariant to Indirect Lighting Using Quadratic Code Length
[pdf]
[bibtex]
@InProceedings{Martin_2013_ICCV,
author = {Martin, Nicolas and Couture, Vincent and Roy, Sebastien},
title = {Subpixel Scanning Invariant to Indirect Lighting Using Quadratic Code Length},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

PM-Huber: PatchMatch with Huber Regularization for Stereo Matching
[pdf]
[bibtex]
@InProceedings{Heise_2013_ICCV,
author = {Heise, Philipp and Klose, Sebastian and Jensen, Brian and Knoll, Alois},
title = {PM-Huber: PatchMatch with Huber Regularization for Stereo Matching},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Relative Attributes for Large-Scale Abandoned Object Detection
[pdf]
[bibtex]
@InProceedings{Fan_2013_ICCV,
author = {Fan, Quanfu and Gabbur, Prasad and Pankanti, Sharath},
title = {Relative Attributes for Large-Scale Abandoned Object Detection},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Search
[pdf]
[bibtex]
@InProceedings{Aiger_2013_ICCV,
author = {Aiger, Dror and Kokiopoulou, Efi and Rivlin, Ehud},
title = {Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Search},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation
[pdf]
[bibtex]
@InProceedings{Ferstl_2013_ICCV,
author = {Ferstl, David and Reinbacher, Christian and Ranftl, Rene and Ruether, Matthias and Bischof, Horst},
title = {Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

3D Scene Understanding by Voxel-CRF
[pdf]
[bibtex]
@InProceedings{Kim_2013_ICCV,
author = {Kim, Byung-Soo and Kohli, Pushmeet and Savarese, Silvio},
title = {3D Scene Understanding by Voxel-CRF},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

No Matter Where You Are: Flexible Graph-Guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion
[pdf]
[bibtex]
@InProceedings{Yan_2013_ICCV,
author = {Yan, Yan and Ricci, Elisa and Subramanian, Ramanathan and Lanz, Oswald and Sebe, Nicu},
title = {No Matter Where You Are: Flexible Graph-Guided Multi-task Learning for Multi-view Head Pose Classification under Target Motion},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Dynamic Probabilistic Volumetric Models
[pdf]
[bibtex]
@InProceedings{Ulusoy_2013_ICCV,
author = {Osman Ulusoy, Ali and Biris, Octavian and Mundy, Joseph L.},
title = {Dynamic Probabilistic Volumetric Models},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Predicting an Object Location Using a Global Image Representation
[pdf]
[bibtex]
@InProceedings{Serrano_2013_ICCV,
author = {Rodriguez Serrano, Jose A. and Larlus, Diane},
title = {Predicting an Object Location Using a Global Image Representation},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Anchored Neighborhood Regression for Fast Example-Based Super-Resolution
[pdf]
[bibtex]
@InProceedings{Timofte_2013_ICCV,
author = {Timofte, Radu and De Smet, Vincent and Van Gool, Luc},
title = {Anchored Neighborhood Regression for Fast Example-Based Super-Resolution},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Robust Object Tracking with Online Multi-lifespan Dictionary Learning
[pdf]
[bibtex]
@InProceedings{Xing_2013_ICCV,
author = {Xing, Junliang and Gao, Jin and Li, Bing and Hu, Weiming and Yan, Shuicheng},
title = {Robust Object Tracking with Online Multi-lifespan Dictionary Learning},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Finding the Best from the Second Bests - Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms
[pdf]
[bibtex]
@InProceedings{Pang_2013_ICCV,
author = {Pang, Yu and Ling, Haibin},
title = {Finding the Best from the Second Bests - Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions
[pdf]
[bibtex]
@InProceedings{Elhoseiny_2013_ICCV,
author = {Elhoseiny, Mohamed and Saleh, Babak and Elgammal, Ahmed},
title = {Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Detecting Dynamic Objects with Multi-view Background Subtraction
[pdf]
[bibtex]
@InProceedings{Diaz_2013_ICCV,
author = {Diaz, Raul and Hallman, Sam and Fowlkes, Charless C.},
title = {Detecting Dynamic Objects with Multi-view Background Subtraction},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Face Recognition via Archetype Hull Ranking
[pdf]
[bibtex]
@InProceedings{Xiong_2013_ICCV,
author = {Xiong, Yuanjun and Liu, Wei and Zhao, Deli and Tang, Xiaoou},
title = {Face Recognition via Archetype Hull Ranking},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach
[pdf]
[bibtex]
@InProceedings{Vahdat_2013_ICCV,
author = {Vahdat, Arash and Cannons, Kevin and Mori, Greg and Oh, Sangmin and Kim, Ilseo},
title = {Compositional Models for Video Event Detection: A Multiple Kernel Learning Latent Variable Approach},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Nested Shape Descriptors
[pdf]
[bibtex]
@InProceedings{Byrne_2013_ICCV,
author = {Byrne, Jeffrey and Shi, Jianbo},
title = {Nested Shape Descriptors},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees
[pdf]
[bibtex]
@InProceedings{Jain_2013_ICCV,
author = {Jain, Aastha and Chatterjee, Shuanak and Vidal, Rene},
title = {Coarse-to-Fine Semantic Video Segmentation Using Supervoxel Trees},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Local Signal Equalization for Correspondence Matching
[pdf]
[bibtex]
@InProceedings{Bradley_2013_ICCV,
author = {Bradley, Derek and Beeler, Thabo},
title = {Local Signal Equalization for Correspondence Matching},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

On One-Shot Similarity Kernels: Explicit Feature Maps and Properties
[pdf]
[bibtex]
@InProceedings{Zafeiriou_2013_ICCV,
author = {Zafeiriou, Stefanos and Kotsia, Irene},
title = {On One-Shot Similarity Kernels: Explicit Feature Maps and Properties},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Combining the Right Features for Complex Event Recognition
[pdf]
[bibtex]
@InProceedings{Tang_2013_ICCV,
author = {Tang, Kevin and Yao, Bangpeng and Fei-Fei, Li and Koller, Daphne},
title = {Combining the Right Features for Complex Event Recognition},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

NEIL: Extracting Visual Knowledge from Web Data
[pdf]
[bibtex]
@InProceedings{Chen_2013_ICCV,
author = {Chen, Xinlei and Shrivastava, Abhinav and Gupta, Abhinav},
title = {NEIL: Extracting Visual Knowledge from Web Data},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Joint Subspace Stabilization for Stereoscopic Video
[pdf]
[bibtex]
@InProceedings{Liu_2013_ICCV,
author = {Liu, Feng and Niu, Yuzhen and Jin, Hailin},
title = {Joint Subspace Stabilization for Stereoscopic Video},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Learning CRFs for Image Parsing with Adaptive Subgradient Descent
[pdf]
[bibtex]
@InProceedings{Zhang_2013_ICCV,
author = {Zhang, Honghui and Wang, Jingdong and Tan, Ping and Wang, Jinglu and Quan, Long},
title = {Learning CRFs for Image Parsing with Adaptive Subgradient Descent},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Box in the Box: Joint 3D Layout and Object Reasoning from Single Images
[pdf]
[bibtex]
@InProceedings{Schwing_2013_ICCV,
author = {Schwing, Alexander G. and Fidler, Sanja and Pollefeys, Marc and Urtasun, Raquel},
title = {Box in the Box: Joint 3D Layout and Object Reasoning from Single Images},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

A Global Linear Method for Camera Pose Registration
[pdf]
[bibtex]
@InProceedings{Jiang_2013_ICCV,
author = {Jiang, Nianjuan and Cui, Zhaopeng and Tan, Ping},
title = {A Global Linear Method for Camera Pose Registration},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model
[pdf]
[bibtex]
@InProceedings{Cai_2013_ICCV,
author = {Cai, Xiao and Nie, Feiping and Cai, Weidong and Huang, Heng},
title = {Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding
[pdf]
[bibtex]
@InProceedings{Satkin_2013_ICCV,
author = {Satkin, Scott and Hebert, Martial},
title = {3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Correntropy Induced L2 Graph for Robust Subspace Clustering
[pdf]
[bibtex]
@InProceedings{Lu_2013_ICCV,
author = {Lu, Canyi and Tang, Jinhui and Lin, Min and Lin, Liang and Yan, Shuicheng and Lin, Zhouchen},
title = {Correntropy Induced L2 Graph for Robust Subspace Clustering},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Unsupervised Domain Adaptation by Domain Invariant Projection
[pdf]
[bibtex]
@InProceedings{Baktashmotlagh_2013_ICCV,
author = {Baktashmotlagh, Mahsa and Harandi, Mehrtash T. and Lovell, Brian C. and Salzmann, Mathieu},
title = {Unsupervised Domain Adaptation by Domain Invariant Projection},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences
[pdf]
[bibtex]
@InProceedings{Steinbrucker_2013_ICCV,
author = {Steinbrucker, Frank and Kerl, Christian and Cremers, Daniel},
title = {Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Detecting Curved Symmetric Parts Using a Deformable Disc Model
[pdf]
[bibtex]
@InProceedings{Lee_2013_ICCV,
author = {Sie Ho Lee, Tom and Fidler, Sanja and Dickinson, Sven},
title = {Detecting Curved Symmetric Parts Using a Deformable Disc Model},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Hierarchical Data-Driven Descent for Efficient Optimal Deformation Estimation
[pdf]
[bibtex]
@InProceedings{Tian_2013_ICCV,
author = {Tian, Yuandong and Narasimhan, Srinivasa G.},
title = {Hierarchical Data-Driven Descent for Efficient Optimal Deformation Estimation},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Recognising Human-Object Interaction via Exemplar Based Modelling
[pdf]
[bibtex]
@InProceedings{Hu_2013_ICCV,
author = {Hu, Jian-Fang and Zheng, Wei-Shi and Lai, Jianhuang and Gong, Shaogang and Xiang, Tao},
title = {Recognising Human-Object Interaction via Exemplar Based Modelling},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

How Do You Tell a Blackbird from a Crow?
[pdf]
[bibtex]
@InProceedings{Berg_2013_ICCV,
author = {Berg, Thomas and Belhumeur, Peter N.},
title = {How Do You Tell a Blackbird from a Crow?},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Video Synopsis by Heterogeneous Multi-source Correlation
[pdf]
[bibtex]
@InProceedings{Zhu_2013_ICCV,
author = {Zhu, Xiatian and Change Loy, Chen and Gong, Shaogang},
title = {Video Synopsis by Heterogeneous Multi-source Correlation},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Semantic Segmentation without Annotating Segments
[pdf]
[bibtex]
@InProceedings{Xia_2013_ICCV,
author = {Xia, Wei and Domokos, Csaba and Dong, Jian and Cheong, Loong-Fah and Yan, Shuicheng},
title = {Semantic Segmentation without Annotating Segments},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2013}
}

Action Recognition with Actons
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