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

About

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.

Videos

Opening

22:57

Opening

Alberto Tesi,

Andrew Fitzgibbon,

Carlo Colombo,

Roberto Cipolla,

Alberto Del Bimbo

Nov 13, 2012

3590 views

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

About

Videos

Opening

Opening

Alberto Tesi,

Andrew Fitzgibbon,

Carlo Colombo,

Roberto Cipolla,

Alberto Del Bimbo

Invited Talk

The quest for a theory of vision: from the level framework (revised) to the inva...

Tomaso A. Poggio

Oral Session 1: Geometry: Theory and application

A QCQP Approach to Triangulation

Chris Aholt

Oral Session 2: Learning and large-scale recognition

Efficient Optimization For Low-Rank Integrated Bilinear Classifiers

Takumi Kobayashi

Metric Learning for Large Scale Image Classification: Generalizing to New Classe...

Thomas Mensink

Leafsnap: A Computer Vision System for Automatic Plant Species Identification

Neeraj Kumar

Fourier Kernel Learning

Eduard Gabriel Băzăvan

Large Scale Visual Geo-Localization of Images in Mountainous Terrain

Georges Baatz

Oral Session 3: Detection and attributes

Latent Hough Transform for Object Detection

Nima Razavi

Constrained Semi-Supervised Learning using Attributes and Comparative Attributes

Abhinav Shrivastava

Using linking features in learning non-parametric part models

Leonid Karlinsky

Attributes for classifier feedback

Devi Parikh

Exact Acceleration of Linear Object Detectors

Charles Dubout

Diagnosing Error in Object Detectors

Derek Hoiem

Oral Session 4: Actions and activities

Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition

Mohamed Amer

A Unified Framework for Multi-Target Tracking and Collective Activity Recognitio...

Wongun Choi

Detecting Actions, Poses, and Objects with Relational Phraselets

Deva Ramanan

Activity Forecasting

Kris M. Kitani

Action Recognition with Exemplar Based 2.5D Graph Matching

Bangpeng Yao

Oral Session 5: MRFs and early vision

Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-M...

Chetan Arora

Patch Complexity, Finite Pixel Correlations and Optimal Denoising

Anat Levin

Continuous Markov Random Fields for Robust Stereo Estimation

Koichiro Yamaguchi

Good Regions to Deblur

Zhe Hu

Diverse M-Best Solutions in Markov Random Fields

Dhruv Batra

Filter-based Mean-Field Inference for Random Fields with Higher Order Terms and ...

Vibhav Vineet

Oral Session 6: Geometry and recognition

People Watching: Human Actions as a Cue for Single View Geometry

David Fouhey

Indoor Segmentation and Support Inference from RGBD Images

Nathan Silberman

Depth Extraction from Video Using Non-parametric Sampling

Kevin Karsch

Beyond the line of sight: labeling the underlying surfaces

Ruiqi Guo

Multiple View Object Cosegmentation using Appearance and Stereo Cues

Adarsh Kowdle

Oral Session 7: Lights, action!

Reflectance and Natural Illumination from a Single Image

Stephen Lombardi

A Naturalistic Open Source Movie for Optical Flow Evaluation

Daniel J. Butler