The IEEE Conference on Computer Vision and Pattern Recognition is one of the top 2 in the field and had an acceptance rate this year of 24%. 4 papers accepted is a great result for the group.
The papers are
Sharing Features in Multi-class Boosting via Group Sparsity, Sakrapee Paisitkriangkrai, Chunhua Shen, Anton [...]
ACVT researchers have 2 articles in the latest IEEE Transactions on Pattern Analysis and Machine Intelligence from April 2012 (vol. 34 no. 4). PAMI is the best journal in the field.
The papers are
Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis, Tat-Jun Chin, Jin Yu, David Suter,
ACVT researchers have had 5 papers accepted to The International Conference on Computer Vision 2011, which will be held in Barcelona in November.
The paper Real-time Modelling for AR Applications won second prize in the best paper awards at the International Symposium on Mixed and Augmented Reality 2010 in Seoul, Korea.
The paper describes a method for generating 3D models of objects which requires minimal user interaction. The motivation was the desire to allow users to create special [...]
Our paper
Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data using the L1 Norm, Anders Eriksson and Anton van den Hengel, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010), June 2010, San Francisco, USA, IEEE 2009
won the CVPR’10 best paper award. There [...]
Anton van den Hengel recently attended ISMAR 2009 in Orlando, Florida, presenting the paper ‘In Situ Image-based Modeling’ by Anton, Rhys Hill, Ben Ward, and Anthony Dick
Following DICTA, Rhys Hill attended WACV 2009 in Snowbird, Utah, presenting ‘Automatic Camera Placement for Large Scale Surveillance Networks’ by Anton van den Hengel, Rhys Hill, Ben Ward, Alex Cichowski, Henry Detmold, Chris Madden, Anthony Dick and John Bastian
ACVT members Rhys Hill and Wojciech Chojnacki recently attended DICTA 2009 in Melbourne, presenting the papers:
‘Measuring Latency for Video Surveillance Systems’ by Rhys, Christopher Madden, Anton van den Hengel, Henry Detmold, and Anthony Dick
and
‘Multi-projective Parameter Estimation for Sets of Homogeneous Matrices’ by Wojciech, Rhys, Anton van den Hengel, [...]
ACVT members have two papers at NIPS 2009:
Positive Semidefinite Metric Learning with Boosting by Chunhua Shen, Junae Kim, Lei Wang, and Anton van den Hengel
and
The Ordered Residual Kernel for Robust Motion Subspace Clustering by Tat-Jun Chin, Hanzi Wang, and David Suter

