Chris Russell

Email:
chrisr [at] eecs [dot] qmul [dot] ac [dot] uk

I'm a post doc in the Department of Electrical Engineering and Computer Science, Vision Group, working for Lourdes Agapito. Prior to this, I did my PhD with Philip Torr. My research focuses mainly on efficient inference and regression under uncertainty. In particular, I'm interested in applications in 3d reconstruction, segmentation, and machine learning.

Thesis

:: Higher-Order Inference for Vision Problems
 

[PDF]
Examiners
External Andrew Fitzgibbon
Internal Fabio Cuzzolin

Conference Publications

:: Dense Multibody Motion Estimation and Reconstruction from a Handheld Camera
 Anastasios Roussos, Chris Russell, Ravi Garg , Lourdes Agapito
  ISMAR 2012
  [PDF]   [web page]

:: Dense Non-rigid Structure from Motion
Chris Russell, Joao Fayad, Lourdes Agapito
  3DIMPTV 2012
  [PDF]  

:: In Defence of Negative Mining
 Parthipan Siva, Chris Russell, Tao Xiang
  ECCV 2012
  [PDF]   [Supplementary materials PDF]

:: Efficient Second Order Multi-Target Tracking with Exclusion Constraints
  Chris Russell(1), Francesco Setti(1), Lourdes Agapito
  (1) Joint first authorship.
  BMVC 2011
  [PDF]

:: Automated Articulated Structure and 3D Shape Recovery from Point Correspondences
  Joao Fayad, Chris Russell, Lourdes Agapito
  ICCV 2011
  [PDF]

:: Energy Based Multiple Model Fitting for Non-Rigid Structure from Motion
  Chris Russell, Joao Fayad, Lourdes Agapito
 CVPR 2011.
  [PDF] [CODE]

:: Exact and Approximate Inference in Associative Hierarchical Networks using Graph Cuts
  Chris Russell, Lubor Ladicky, Pushmeet Kohli, Philip Torr ,
  UAI 2010
  [PDF]

BMVC Best Paper 2010

::Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction
  Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar , William Clocksin , Philip Torr
    [PDF]

ECCV Best Paper 2010

:: Graph Cut based Inference with Co-occurrence Statistics
  Lubor Ladicky(1), Chris Russell(1), Pushmeet Kohli, Philip Torr
  (1) Joint first authorship
    [PDF]

:: What, Where & How Many? Combining Object Detectors and CRFs
  Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip Torr
  ECCV 2011
  [PDF]

::Efficient Piecewise Learning for Conditional Random Fields
  Karteek Alahari , Chris Russell, Philip Torr
  CVPR 2010
  [PDF]

:: Associative Hierarchical CRFs for Object Class Image Segmentation
  Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip Torr
  ICCV 2009
  [PDF]

::Using the Pn Potts model with learning methods to segment live cell images
  Chris Russell, Christophe Restif , Dimitris N. Metaxas, Philip Torr
  Location
  year
  [PS]

Contact me:

Address:
Department of Electrical Engineering and Computer Science
Queen Mary, University of London
Mile End Road
E1 4NS