ECCV 2012 - Firenze

12th European Conference on Computer Vision (ECCV), Firenze 2012

The European Conference on Computer Vision is one of the top conferences for researchers in this field and is held biennially in alternation with the International Conference on Computer Vision. It was first held in 1990 in Antibes (France) with subsequent conferences in Santa Margherita Ligure (Italy) in 1992, Stockholm (Sweden) in 1994, Cambridge (UK) in 1996, Freiburg (Germany) in 1998, Dublin (Ireland) in 2000, Copenhagen (Denmark) in 2002, Prague (Czech Republic) in 2004, Graz (Austria) in 2006, Marseille (France) in 2008, and Heraklion (Greece) in 2010. To our great delight, the 12th conference is held in Florence, Italy.

ECCV has an established tradition of very high scientific quality and an overall duration of one week.

For more information please visit the ECCV 2012 website.

Categories

Top » Computer Science » Computer Vision


Opening
[syn] 3573 views, 22:57 OpeningOpening Alberto Del Bimbo, Roberto Cipolla, et al. Alberto Del Bimbo, Roberto Cipolla, Carlo Colombo, Alberto Tesi, Andrew Fitzgibbon
Invited Talk
[syn] 6080 views, 55:06 Keynote Talk The quest for a theory of vision: from the level framework (revised) to the invariances of the ventral streamThe quest for a theory of vision: from the level ... Tomaso A. Poggio, Pietro Perona Tomaso A. Poggio, Pietro Perona
Oral Session 1: Geometry: Theory and application
[syn] 4760 views, 16:37 A QCQP Approach to TriangulationA QCQP Approach to Triangulation Chris Aholt, Jean Ponce, Tomas Pajdla Chris Aholt, Jean Ponce, Tomas Pajdla	[syn] 19278 views, 14:02 Reconstructing the World’s MuseumsReconstructing the World’s Museums Jianxiong Xiao, Jean Ponce, Tomas Pajdla Jianxiong Xiao, Jean Ponce, Tomas Pajdla 1 comment
Oral Session 2: Learning and large-scale recognition
[syn] 5096 views, 13:07 Fourier Kernel LearningFourier Kernel Learning Eduard Gabriel Băzăvan, Michal Irani, Andrea Vedaldi Eduard Gabriel Băzăvan, Michal Irani, Andrea Vedaldi	[syn] 4556 views, 15:13 Efficient Optimization For Low-Rank Integrated Bilinear ClassifiersEfficient Optimization For Low-Rank Integrated Bilinear Classifiers Takumi Kobayashi, Michal Irani, Andrea Vedaldi Takumi Kobayashi, Michal Irani, Andrea Vedaldi	[syn] 23679 views, 13:07 Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero CostMetric Learning for Large Scale Image Classification: Generalizing to New ... Thomas Mensink, Michal Irani, Andrea Vedaldi Thomas Mensink, Michal Irani, Andrea Vedaldi	[syn] 5917 views, 14:08 Leafsnap: A Computer Vision System for Automatic Plant Species IdentificationLeafsnap: A Computer Vision System for Automatic Plant Species Identification Neeraj Kumar, Michal Irani, Andrea Vedaldi Neeraj Kumar, Michal Irani, Andrea Vedaldi	[syn] 4063 views, 18:10 Large Scale Visual Geo-Localization of Images in Mountainous TerrainLarge Scale Visual Geo-Localization of Images in Mountainous Terrain Georges Baatz, Michal Irani, Andrea Vedaldi Georges Baatz, Michal Irani, Andrea Vedaldi
Oral Session 3: Detection and attributes
[syn] 5125 views, 10:43 Exact Acceleration of Linear Object DetectorsExact Acceleration of Linear Object Detectors Charles Dubout, Antonio Torralba, Stefan Carlsson Charles Dubout, Antonio Torralba, Stefan Carlsson	[syn] 5890 views, 11:24 Latent Hough Transform for Object DetectionLatent Hough Transform for Object Detection Nima Razavi, Antonio Torralba, Stefan Carlsson Nima Razavi, Antonio Torralba, Stefan Carlsson	[syn] 3165 views, 13:11 Using linking features in learning non-parametric part modelsUsing linking features in learning non-parametric part models Leonid Karlinsky, Antonio Torralba, Stefan Carlsson Leonid Karlinsky, Antonio Torralba, Stefan Carlsson	[syn] 4996 views, 16:08 Diagnosing Error in Object DetectorsDiagnosing Error in Object Detectors Derek Hoiem, Antonio Torralba, Stefan Carlsson Derek Hoiem, Antonio Torralba, Stefan Carlsson	[syn] 6355 views, 15:41 Attributes for classifier feedbackAttributes for classifier feedback Devi Parikh, Antonio Torralba, Stefan Carlsson Devi Parikh, Antonio Torralba, Stefan Carlsson
[syn] 6490 views, 15:01 Constrained Semi-Supervised Learning using Attributes and Comparative AttributesConstrained Semi-Supervised Learning using Attributes and Comparative Attributes Abhinav Shrivastava, Antonio Torralba, Stefan Carlsson Abhinav Shrivastava, Antonio Torralba, Stefan Carlsson
Oral Session 4: Actions and activities
[syn] 5050 views, 16:53 Detecting Actions, Poses, and Objects with Relational PhraseletsDetecting Actions, Poses, and Objects with Relational Phraselets Deva Ramanan, Michael J. Black, Ivan Laptev Deva Ramanan, Michael J. Black, Ivan Laptev	[syn] 6868 views, 15:35 Action Recognition with Exemplar Based 2.5D Graph MatchingAction Recognition with Exemplar Based 2.5D Graph Matching Bangpeng Yao, Michael J. Black, Ivan Laptev Bangpeng Yao, Michael J. Black, Ivan Laptev	[syn] 4035 views, 15:29 Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity RecognitionCost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition Mohamed Amer, Michael J. Black, Ivan Laptev Mohamed Amer, Michael J. Black, Ivan Laptev	[syn] 8257 views, 17:53 Activity ForecastingActivity Forecasting Kris M. Kitani, Michael J. Black, Ivan Laptev Kris M. Kitani, Michael J. Black, Ivan Laptev	[syn] 7035 views, 16:23 A Unified Framework for Multi-Target Tracking and Collective Activity RecognitionA Unified Framework for Multi-Target Tracking and Collective Activity Recognition Wongun Choi, Michael J. Black, Ivan Laptev Wongun Choi, Michael J. Black, Ivan Laptev
Oral Session 5: MRFs and early vision
[syn] 6766 views, 14:40 Diverse M-Best Solutions in Markov Random FieldsDiverse M-Best Solutions in Markov Random Fields Dhruv Batra, Ramin Zabih, Laurent Itti Dhruv Batra, Ramin Zabih, Laurent Itti	[syn] 4202 views, 15:17 Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAPGeneric Cuts: An Efficient Algorithm for Optimal Inference in Higher ... Chetan Arora, Ramin Zabih, Laurent Itti Chetan Arora, Ramin Zabih, Laurent Itti	[syn] 5298 views, 15:06 Filter-based Mean-Field Inference for Random Fields with Higher Order Terms and Product Label-SpacesFilter-based Mean-Field Inference for Random Fields with Higher Order Terms ... Vibhav Vineet, Ramin Zabih, Laurent Itti Vibhav Vineet, Ramin Zabih, Laurent Itti	[syn] 5273 views, 13:49 Continuous Markov Random Fields for Robust Stereo EstimationContinuous Markov Random Fields for Robust Stereo Estimation Koichiro Yamaguchi, Ramin Zabih, Laurent Itti Koichiro Yamaguchi, Ramin Zabih, Laurent Itti	[syn] 4132 views, 14:10 Good Regions to DeblurGood Regions to Deblur Zhe Hu, Ramin Zabih, Laurent Itti Zhe Hu, Ramin Zabih, Laurent Itti
[syn] 4038 views, 18:19 Patch Complexity, Finite Pixel Correlations and Optimal DenoisingPatch Complexity, Finite Pixel Correlations and Optimal Denoising Anat Levin, Ramin Zabih, Laurent Itti Anat Levin, Ramin Zabih, Laurent Itti
Oral Session 6: Geometry and recognition
[syn] 5836 views, 14:47 People Watching: Human Actions as a Cue for Single View GeometryPeople Watching: Human Actions as a Cue for Single View ... David Fouhey, Aude Oliva, Silvio Savarese David Fouhey, Aude Oliva, Silvio Savarese	[syn] 6084 views, 16:30 Indoor Segmentation and Support Inference from RGBD ImagesIndoor Segmentation and Support Inference from RGBD Images Nathan Silberman, Aude Oliva, Silvio Savarese Nathan Silberman, Aude Oliva, Silvio Savarese	[syn] 3570 views, 12:45 Beyond the line of sight: labeling the underlying surfacesBeyond the line of sight: labeling the underlying surfaces Ruiqi Guo, Aude Oliva, Silvio Savarese Ruiqi Guo, Aude Oliva, Silvio Savarese	[syn] 5357 views, 13:28 Depth Extraction from Video Using Non-parametric SamplingDepth Extraction from Video Using Non-parametric Sampling Kevin Karsch, Aude Oliva, Silvio Savarese Kevin Karsch, Aude Oliva, Silvio Savarese	[syn] 4859 views, 15:58 Multiple View Object Cosegmentation using Appearance and Stereo CuesMultiple View Object Cosegmentation using Appearance and Stereo Cues Adarsh Kowdle, Aude Oliva, Silvio Savarese Adarsh Kowdle, Aude Oliva, Silvio Savarese
Oral Session 7: Lights, action!
[syn] 5883 views, 14:23 Reflectance and Natural Illumination from a Single ImageReflectance and Natural Illumination from a Single Image Stephen Lombardi, Bernt Schiele, David Forsyth Stephen Lombardi, Bernt Schiele, David Forsyth	[syn] 3001 views, 15:25 Frequency-Space Decomposition and Acquisition of Light Transport under Spatially Varying IlluminationFrequency-Space Decomposition and Acquisition of Light Transport under Spatially Varying ... Ravi Ramamoorthi, Bernt Schiele, David Forsyth Ravi Ramamoorthi, Bernt Schiele, David Forsyth	[syn] 4217 views, 14:38 A Naturalistic Open Source Movie for Optical Flow EvaluationA Naturalistic Open Source Movie for Optical Flow Evaluation Daniel J. Butler, Bernt Schiele, David Forsyth Daniel J. Butler, Bernt Schiele, David Forsyth	[syn] 5824 views, 18:54 Streaming Hierarchical Video SegmentationStreaming Hierarchical Video Segmentation Jason Corso, Bernt Schiele, David Forsyth Jason Corso, Bernt Schiele, David Forsyth	[syn] 3870 views, 14:29 Motion Capture of Hands in Action using Discriminative Salient PointsMotion Capture of Hands in Action using Discriminative Salient Points Luca Ballan, Bernt Schiele, David Forsyth Luca Ballan, Bernt Schiele, David Forsyth
[syn] 10034 views, 18:20 Photo-SequencingPhoto-Sequencing Tali Basha, Bernt Schiele, David Forsyth Tali Basha, Bernt Schiele, David Forsyth 1 comment
Oral Session 8: Semantic segmentation
[syn] 3845 views, 14:34 A Three-Layered Approach to Facade ParsingA Three-Layered Approach to Facade Parsing Anđelo Martinović, Tinne Tuytelaars, Serge J. Belongie Anđelo Martinović, Tinne Tuytelaars, Serge J. Belongie	[syn] 5905 views, 15:38 Semantic Segmentation with Second-Order PoolingSemantic Segmentation with Second-Order Pooling João Carreira, Tinne Tuytelaars, Serge J. Belongie João Carreira, Tinne Tuytelaars, Serge J. Belongie	[syn] 3972 views, 14:07 Shape Sharing for Object SegmentationShape Sharing for Object Segmentation Jaechul Kim, Tinne Tuytelaars, Serge J. Belongie Jaechul Kim, Tinne Tuytelaars, Serge J. Belongie	[syn] 5011 views, 14:30 Segmentation Propagation in ImageNetSegmentation Propagation in ImageNet Matthieu Guillaumin, Tinne Tuytelaars, Serge J. Belongie Matthieu Guillaumin, Tinne Tuytelaars, Serge J. Belongie	[syn] 4149 views, 18:26 “Clustering by Composition” for Unsupervised Discovery of Image Categories“Clustering by Composition” for Unsupervised Discovery of Image Categories Alon Faktor, Tinne Tuytelaars, Serge J. Belongie Alon Faktor, Tinne Tuytelaars, Serge J. Belongie