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Medical machine learning on the Conversation

We just had a piece on medical machine learning published in the Conversation.

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Best Paper Award for Prof Ian Reid at 3DV2014

Professor Ian Reid and colleagues from Oxford have been awarded the Best Paper Award at the International Conference on 3D Vision, held in Tokyo, Japan from 8-11 December 2014 The paper, titled “3D Tracking of Multiple Objects with Identical Appearance using RGB-D Input”, was authored by Carl Yuheng Ren, Victor Prisacariu, Olaf Kaehler, Ian Reid […]

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2013 was a very good year for the ACVT

ACVT Director, Prof. Anton van den Hengel reviews the year just gone. We had a very good year in 2013, with many highlights, but if I had to pick a top 3 it would be · Prof Ian Reid was awarded an ARC Laureate Fellowship. This is the most prestigious fellowship in Australia, and the […]

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An ICML Oral presentation

Congratulations to Xi Li, Guosheng Lin, Chunhua Shen, and Anthony Dick on having had ‘Learning Hash Functions Using Column Generation’ accepted as an oral presentation to this year’s ICML.  It’s a great result.

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10 papers accepted at CVPR 2013, including 2 oral presentations!

Congratulations to the ACVT and research colleagues who have had 10 papers accepted at this year’s CVPR conference, to be held in Portland, USA in June 2013. In addition, well done to Peng Wang, Chunhua Shen and Ian Reid who have had oral presentations accepted at this year’s conference. Below are a list of the accepted papers: Inductive Hashing […]

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DICTA Best Recognition Paper Award

The Canon “Best Recognition Paper” Prize was awarded by Canon Information Systems Research Australia (CiSRA) to Visual Distance Measures for Object Retrieval. Yanzhi Chen, Anthony Dick, Xi Li. 2012 International Conference on Digital Image Computing Techniques and Applications. [PDF] Another great result.

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ACVT have the Spotlight Paper for the latest issue of IEEE PAMI

An ACVT paper has just been announced as the Spotlight Paper for the September 2012 issue of the IEEE Transactions on Pattern Analysis and Machine Intelligence. The paper is Efficient Computation of Robust Weighted Low-Rank Matrix Approximations Using the L₁ Norm. By Anders Eriksson and Anton van den Hengel

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Inside Intel

Anton gave a talk at The Intel Labs in Santa Clara on Friday July 20. The talk is another in the ongoing series putting the case for developing tools for 3D User Created Content, and describing the work that the ACVT have been doing in the area.

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4 ACVT CVPR 2012 Papers Accepted

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 van den Hengel Non-sparse […]

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Two papers in the latest PAMI

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,http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.169 UBoost: Boosting with the Universum, Chunhua Shen, Peng […]

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