Proceedings in Xplore

The ICIP2014 Organizing Team is proud to announce that the official ICIP2014 proceedings are now available in IEEE Xplore.

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Plenary slides

Slides of the Plenary presentations will soon be available in the Plenaries section.

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Photos from ICIP2014

Photos from the conference are now available here

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Best Paper Award and Best Student Paper Award Winners

The winners of the ICIP’14 awards were announced during the banquet on Oct. 29.

BEST STUDENT PAPERS

Laplacian Object: One-shot Object Detection by Locality Preserving Projection
Sujoy Kumar Biswas
Peyman Milanfar
Null Space Clustering with Applications to Motion Segmentation and Face Clustering
Pan Ji
Yiran Zhong
Hongdong Li
Mathieu Salzmann
VOW: Variance Optimal Wavelets for the Steerable Pyramid
Pedram Pad
Virginie Uhlmann
Michael Unser

 

BEST PAPERS

Computational 3D and Reflectivity Imaging with High Photon Efficiency
Dongeek Shin
Ahmed Kirmani
Vivek K Goyal
Jeffrey H Shapiro
3D Keypoint Detection by Light Field Scale-Depth Space Analysis
Ivana Tosic
Kathrin Berkner

 

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Award finalists announced

We are delighted to announce the finalists for the ICIP Best Paper Award. Only nine out 1219 accepted papers have made it through to this final shortlist!

The winners will be announced during the banquet at the Hotel de Ville, on Wednesday 29th.

The finalist papers, sorted by title, are the following:

Title Authors
3D Keypoint Detection by Light Field Scale-Depth Space Analysis Tošić, Ivana; Berkner, Kathrin
A Forward-Backward View of Some Primal-Dual Optimization Methods in Image Recovery Combettes, Patrick L.; Condat, Laurent; Pesquet, Jean-Christophe; Vu, Bang Cong
Computational 3D and Reflectivity Imaging with High Photon Efficiency Shin, Dongeek; Kirmani, Ahmed; Goyal, Vivek K; Shapiro, Jeffrey H
Graph Signal Decomposition for Multi-Scale Detail Manipulation Hidane, Moncef; Lezoray, Olivier; Elmoataz, Abderrahim
Laplacian Object: One-shot Object Detection by Locality Preserving Projection Biswas, Sujoy Kumar; Milanfar, Peyman
Null Space Clustering with Applications to Motion Segmentation and Face Clustering Ji, Pan; Zhong, Yiran; Li, Hongdong; Salzmann, Mathieu
Unsupervised Domain Adaptation Using Manifold Alignment for Object and Event Categorization Samanta, Suranjana; Das, Sukhendu
Unsupervised Manifold Learning by Correlation Graph and Strongly Connected Components for Image Retrieval Pedronette, Daniel Carlos Guimarães; Torres, Ricardo da Silva
VOW: Variance Optimal Wavelets for the Steerable Pyramid Pad, Pedram; Uhlmann, Virginie; Unser, Michael

Congratulations to the authors for their excellent work!

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Welcome Ceremony

We bring to your attention that the main technical program starts Tuesday, October 28, with a Welcome Ceremony at 8:30 followed by the first plenary presentation at 9:00, both in Amphithéâtre Léonard de Vinci.

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Plenary Overflow Rooms

We are expecting a record attendance at ICIP this year! Consequently, if you arrive a bit late for the start of the plenaries, you may find that the room (Amphithéatre Léonard de Vinci) is full. We are happy to announce the availability of two overflow rooms—Ampère 5&6 and Ampère 7&8 (CNIT Level A)—which will be equipped each day with simultaneous streaming video of the plenary presentation.

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ICIP’s smartphone app to plan your conference

The Conference4me smartphone app provides you with the most comfortable tool for planning your participation in ICIP 2014. Browse the complete programme directly from your phone or tablet and create your very own agenda on the fly. The app is available for Android, iOS, Windows Phone and Kindle Fire devices. To download mobile app, please visit http://conference4me.eu/download or type ‘conference4me’ in Google Play, iTunes App Store, Windows Phone Store or Amazon Kindle Fire App Store

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Show and Tell sessions

The Show and Tell demos will be presented during Wednesday, Oct.29th, in Dickens 5+6 room. Full details are available in the Technical Program.

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Meeting Schedule Now Available

The schedule for administrative meetings is now available. See Meetings for full details.

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