The PASCAL Visual Object Classes Challenge Workshop 2010

11th September 2010, ECCV 2010, Crete, Greece

Introduction

This workshop will present and discuss the results of the PASCAL Visual Object Classes Challenge (VOC2010). The challenge has three main competitions, one testing image classification ("does the image contain an instance of this class?"), one testing object detection ("provide a bounding box for each instance of the class, if any"), and one evaluating object segmentation at the pixel level. In addition there are three 'taster' competitions, on person layout ("where are this person's head, hands and feet?"), still-image action classification ("is this person running/playing an instrument, etc.?"), and large scale recognition using ImageNet.

Full details of the challenge.

Venue

The workshop was held on 11th September 2010, in association with ECCV 2010.

"Lifetime Achievement" Prize

The VOC organizers were especially happy to award a "lifetime achievement" prize to the authors of the "Discriminatively Trained Deformable Part Model" known to VOC participants as the "UoCTTI" object detection method:

Pedro Felzenszwalb¹, Ross Girshick¹, David McAllester², Deva Ramanan³
¹University of Chicago; ²Toyota Technological Institute at Chicago; ³University of California, Irvine

First submitted to the PASCAL VOC challenge in 2007, this detector has now become a core component of many classification, segmentation, person layout and action classification submissions. We honour the contribution made to the community by the innovation and success of the method and its free distribution.

Prizes

The following prizes were announced at the workshop:

Classification
Winner:	NUSPSL_KERNELREGFUSING Qiang Chen¹, Zheng Song¹, Si Liu¹, Xiangyu Chen¹, Xiaotong Yuan¹, Tat-Seng Chua¹, Shuicheng Yan¹, Yang Hua², Zhongyang Huang², Shengmei Shen² ¹National University of Singapore; ²Panasonic Singapore Laboratories
Detection
Winner:	NLPR_HOGLBP_MC_LCEGCHLC Yinan Yu, Junge Zhang, Yongzhen Huang, Shuai Zheng, Weiqiang Ren, Chong Wang, Kaiqi Huang, Tieniu Tan National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
Honourable Mentions:	MITUCLA_HIERARCHY Long Zhu, Yuanhao Chen, William Freeman, Alan Yuille, Antonio Torralba MIT, UCLA NUS_HOGLBP_CTX_CLS_RESCORE_V2 Zheng Song, Qiang Chen, Shuicheng Yan National University of Singapore UVA_GROUPLOC/UVA_DETMONKEY Jasper Uijlings, Koen van de Sande, Theo Gevers, Arnold Smeulders, Remko Scha University of Amsterdam
Segmentation
Joint Winners:	CVC_HARMONY_DET Josep Maria Gonfaus, Xavier Boix, Fahad Kahn, Joost van de Weijer, Andrew Bagdanov, Marco Pedersoli, Joan Serrat, Xavier Roca, Jordi Gonzalez Computer Vision Center, Universitat Autònoma de Barcelona BONN_SVR_SEGM Joao Carreira, Fuxin Li, Cristian Sminchisescu University of Bonn
Honourable Mention:	BERKELEY_POSELETS_ALIGN_PB Thomas Brox, Lubomir Bourdev, Subhransu Maji, Jitendra Malik University of California, Berkeley
Person Layout Taster
Joint Winners:	BCNPCL_Human_Layout M. Drozdzal, A. Hernández, S. Seguí, X. Baro, S. Escalera, A. Lapedriza, D. Masip, P. Radeva, J. Vitria Computer Vision Center Barcelona; Universitat Oberta de Catalunya OXFORD_SBD Arpit Mittal, Andrew Zisserman, Philip H. S. Torr, Manuel J. Marin University of Oxford; Oxford Brookes University
Action Classification Taster
Joint Winners:	CVC_SEL/CVC_BASE Nataliya Shapovalova, Wenjuan Gong, Fahad Shahbaz Khan, Josep M. Gonfaus, Marco Pedersoli, Andrew D. Bagdanov, Joost van de Weijer, Jordi Gonzalez Computer Vision Center, Universitat Autonoma de Barcelona INRIA_SPM_HT Norberto Adrian Goussies, Arnau Ramisa, Cordelia Schmid INRIA LEAR NUDT_SVM_WHGO_SIFT_CENTRIST_LLM Li Zhou, Zongtan Zhou, Dewen Hu National University of Defence Technology SURREY_MK_KDA Piotr Koniusz, Muhammad Atif Tahir, Mark Barnard, Fei Yan, Krystian Mikolajczyk University of Surrey UCLEAR_SVM_DOSP_MULTFEATS Gaurav Sharma, Frederic Jurie, Cordelia Schmid University of Caen; INRIA LEAR UMCO_DHOG_KSVM Xutao Lv, Xiaoyu Wang, Xi Zhou, Tony X. Han University of Missouri - Columbia

Programme

09:00 - 09:20	Overview and results of the classification challenge Mark Everingham University of Leeds [PDF]
09:20 - 09:40	Classification methods Boosting Classification with Exclusive Context Qiang Chen¹, Zheng Song¹, Si Liu¹, Xiangyu Chen¹, Xiaotong Yuan¹, Tat-Seng Chua¹, Shuicheng Yan¹, Yang Hua², Zhongyang Huang², Shengmei Shen² ¹National University of Singapore; ²Panasonic Singapore Laboratories [PDF] NB: This is unpublished work. Please contact the authors if you plan to make use of any of the ideas presented.
09:40 - 10:00	Overview and results of the detection challenge Mark Everingham University of Leeds [PDF]
10:00 - 10:40	Detection methods Object Detection by Context and Boosted HOG-LBP Yinan Yu, Junge Zhang, Yongzhen Huang, Shuai Zheng, Weiqiang Ren, Chong Wang, Kaiqi Huang, Tieniu Tan National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences [PDF] NB: This is unpublished work. Please contact the authors if you plan to make use of any of the ideas presented. Latent Hierarchical Structural Learning Long Zhu, Yuanhao Chen, William Freeman, Alan Yuille, Antonio Torralba MIT; UCLA - presented by Biliana Kaneva (MIT) [PDF]
10:40 - 11:00	Break
11:00 - 11:20	Overview and results of the segmentation challenge Mark Everingham University of Leeds [PDF]
11:20 - 11:40	Segmentation methods Harmony Potentials: Fusing Global and Local Scale for Semantic Image Segmentation Josep M. Gonfaus, Xavier Boix, Fahad S. Khan, Joost van de Weijer, Andrew D. Bagdanov, Marco Pedersoli, Joan Serrat, Xavier Roca, Jordi Gonzàlez Computer Vision Center - Universitat Autònoma de Barcelona [PDF] NB: This is unpublished work. Please contact the authors if you plan to make use of any of the ideas presented.
11:40 - 12:00	Overview and results of the action classification taster challenge Ivan Laptev INRIA Paris [PDF]
12:00 - 12:20	Action classification methods Recognizing actions based on interactions between humans and objects G. Sharma, N. Goussies, A. Ramisa, F. Jurie, C. Schmid INRIA LEAR; University of Caen
12:20 - 12:40	Overview, results and methods of the person layout taster challenge Mark Everingham University of Leeds [PDF]
12:40 - 14:00	Lunch
14:00 - 15:00	Overview and results of the ILSVRC2010 taster challenge in large scale visual recognition Alex Berg Stony Brook University NEC-UIUC method Yuanqing Lin¹, Fengjun Lv¹, Shenghuo Zhu¹, Ming Yang¹, Timothee Cour¹, Kai Yu¹, LiangLiang Cao², Zhen Li², Min-Hsuan Tsai², Xi Zhou², Thomas Huang², Tong Zhang³ ¹NEC; ²UIUC; ³Rutgers XCRE method Jorge Sanchez, Florent Perronnin, Thomas Mensink Xerox Research Center Europe More information and presentations available at the ILSVRC2010 website
15:00 - 15:40	Conclusions and discussion [PDF]

Organizers

Mark Everingham (University of Leeds), m.everingham@leeds.ac.uk
Luc van Gool (ETHZ, Zurich)
Chris Williams (University of Edinburgh)
John Winn (Microsoft Research Cambridge)
Andrew Zisserman (University of Oxford)

Support

The preparation and running of this challenge is supported by the EU-funded PASCAL2 Network of Excellence on Pattern Analysis, Statistical Modelling and Computational Learning.