Awards

Winners

Best Paper Award Winner

Video and Subdivision based Mesh Coding
Khaled Mammou (Apple Inc.); Jungsun Kim (Apple Inc.); Alexis Tourapis (Apple Inc.); Dimitri Podborski (Apple Inc.); David Flynn (Apple Inc.)

Best Student Paper Award Winners

Computational Hyperspectral Imaging with Diffractive Optics and Deep Residual Learning
Ayoung Kim (Tampere University); Ugur Akpinar (Tampere University); Erdem Sahin (Tampere University); Atanas Gotchev (Tampere University)

EGAIN: Extended GAn INversion
Wassim Kabbani (Technical University of Denmark); Marcel Grimmer (Norwegian University of Science and Technology); Christoph Busch (Norwegian University of Science and Technology)

Best Reviewer Award Winner

Martin Winter (Joanneum Research)

General Information

EUVIP 2022 will select winners to receive the Best Paper Award, the Best Student Paper Award, and the Best Reviewer Award.

Best Paper Award and the Best Student Paper Award

The Best Paper Award and the Best Student Paper Award aim to honour exceptional technical contributions and promote high-quality research within the technical scope of the workshop.

The final awards decisions will be taken after the presentation of these papers.

The Best Paper/Student Paper Awards Selection Guidelines are:

  • Exclusions: The papers from the General Co-chairs, Technical Program Chairs, Special Sessions Chairs, and Awards Chairs are excluded from consideration.
  • Initial Score Based Selection: The 4 accepted papers and 4 accepted student papers receiving the highest scores and good recognition in the review process are chosen as candidates, by the Awards Chairs.
  • Candidates Presentation: The 8 selected papers will be arranged for presentation, in non-time-overlapping sessions. Authors of the selected papers will be informed before the conference and the candidates will be announced on the homepage.
  • Award Selection Committee: The Award Selection Committee may include members of EUVIP 2022 Organizing Committee, notably General Co-Chairs, Technical Program Chairs, Special Session Chairs and Award Chairs, and members of the EUVIP Steering Committee, in a maximum of 12 members. To be a valid member of this committee, the experts will have to score all the candidate papers.
  • Award Criteria: The Award Selection Committee will consider the technical quality, the technical novelty, the potential impact, the editorial quality, the presentation quality, and the capability to answer questions.
  • Award Selection Procedure: The Award Selection Committee members should attend the presentations and give a vote between 1 and 10 (best) to each paper, considering the award criteria.
  • Winners Definition: After consolidation of the votes by the Awards Chairs, the paper receiving the highest overall score by the Award Selection Committee will be awarded as the Best Paper Award (even if the first author is a student); the paper with the second highest vote and with a student as the first author (that should be also the presenter of the paper) will be awarded the Best Student Paper Award. In case of a tie, the award will be attributed to the papers tied and the award amount split between them.
  • Issues: If there is any issue arising before the final decision can be reached, the Award Selection Committee will meet at the conference site to resolve.
Best Reviewer Award

The Best Reviewer Award aims to acknowledge the outstanding contribution of one reviewer, and to promote high quality reviews.

The Best Reviewer Award Selection Guidelines are:

  • Exclusions: The General Co-Chairs, Technical Program Chairs, Special Session Chairs and Award Chairs are excluded from consideration.
  • Reviewer Selection Committee: The Reviewer Selection Committee will include members of the EUVIP 2022 Organizing Committee, notably General Co-Chairs, Technical Program Chairs, Special Session Chairs and Award Chairs, in a maximum of 7 members.
  • Award Criteria: The Reviewer Award Selection Committee will consider the reviewing quality, notably insightful and supportive feedback promoting the paper improvement by the authors, and the timeliness of the reviews.

The recipients of the Awards will be announced at the Workshop dinner.

Best Paper Selected Candidates

  • “Compression of Time-Varying Textured Meshes using Patch Tiling and Image-based Tracking“, Jean-Eudes Marvie (InterDigital)*; Maja Krivokuca (InterDigital); Celine Guede (InterDigital); Julien Ricard (InterDigital); Olivier Mocquard (InterDigital); Francois-Louis Tariolle (InterDigital).
  • “Video and Subdivision based Mesh Coding“, Khaled Mammou (Apple Inc.)*; Jungsun Kim (Apple Inc.); Alexis Tourapis (“Apple Inc.”); Dimitri Podborski (Apple Inc.); David Flynn (Apple Inc.).
  • “Formal Visual Evaluation and Study of Objective Metrics for MPEG Dynamic Mesh Coding“, Mathias Wien (RWTH Aachen University)*; Joel Jung (Tencent Media Lab); Vittorio Baroncini (GBTech).
  • “Ensemble Learning for Efficient VVC Bitrate Ladder Prediction“, Fatemeh NASIRI (INSA Rennes)*; Luce Morin (INSA Rennes); Wassim Hamidouche (INSA Rennes); Nicolas Dhollande (Aviwest); Jean-Yves Aubié (IRT b-com).
  • “Computational Hyperspectral Imaging with Diffractive Optics and Deep Residual Learning“, Ayoung Kim (Tampere University)*; Ugur Akpinar (Tampere University); Erdem Sahin (Tampere University); Atanas Gotchev.
  • “Opto-UNet: Optimized UNet for Segmentation of Varicose Veins in Optical Coherence Tomography“, Maryam Viqar (Institute of Optical Materials and Technologies – Bulgarian Academy of Sciences)*; Violeta Madjarova (Institute of Optical Materials and Technologies – Bulgarian Academy of Sciences); Vipul Baghel (Dept. of Electronics Engineering, Aligarh Muslim University); Elena Stoykova (IOMT, Bulgarian Academy of Sciences).
  • “Demystifying Face-Recognition with Locally Interpretable Boosted Features (LIBF)“, Martin Winter (Joanneum Research)*; Werner Bailer (Joanneum Research); Georg Thallinger (Joanneum Research).
  • “EGAIN: Extended GAn INversion“, Wassim Kabbani (Technical University of Denmark)*; Marcel Grimmer (Norwegian University of Science and Technology); Christoph Busch (Norwegian University of Science and Technology).