Grand Challenges


GC1 – The CORSMAL Challenge: Multi-modal Fusion and Learning for Robotics

Organisers

  • Apostolos Modas
  • Pascal Frossard
  • Ricardo Sánchez Matilla
  • Andrea Cavallaro
  • Riccardo Mazzon
  • Alessio Xompero

More details

Schedule:

Wednesday, 8 July – London (BST time zone)

TimeTalk/PaperSpeaker(s)
10:00Welcome and IntroductionAndrea Cavallaro
(QMUL & Alan Turing)
10:10Unknown Object Grasping: Techniques and Benchmarks for Challenging Robotic Platforms Giulia Vezzani
(Istituto Italiano di Tecnologia & DeepMind)
10:25Learning and Multi-Modal Sensing for Robotic Grasping and ManipulationYasemin Bekiroğlu
(UCL & Chalmers)
10:40Automatic 3D Annotations Applied to 3D Hand+Object Pose EstimationVincent Lepetit
(École des Ponts ParisTech)
10:55Touch, Interaction, and Presence In Telerobotics - Some Challenges From the FieldRich Walker
(Shadow Robot Company Ltd)
11:10Q&A with the Speakers and Discussion
11:30Break
12:00Learning Robotic Interaction Tasks with Stability GuaranteesShahbaz Abdul Khader
(KTH)
12:10Corsmal Dataset: Containers ManipulationApostolos Modas
(EPFL)
12:20Corsmal Demo: Localisation and Shape Estimation of ContainersAlessio Xompero
(QMUL)
12:30Corsmal Benchmark for Human-Robot HandoverRicardo Sanchez-Matilla
(QMUL)
12:40Q&A with the Speakers and Discussion
13:00End of the Session


GC2 – QA4 CAMERA – Quality Assessment for Smartphone Cameras

Organisers

  • Guangtao Zhai
  • Wenhan Zhu
  • Xiongkuo Min

More details

Schedule:

Wednesday, 8 July – London (BST time zone)

TimeTalk/PaperSpeaker(s)
11:00Introduction and Overview of Grand ChallengeGuangtao Zhai, Wenhan Zhu, Xiongkuo Min
(SJTU)
11:10Convolutional Neural Networks Based on Residual Block cor No-Reference Image Quality Assessment Of Smartphone Camera Images Chang Yao, Yuri Lu, Hang Liu, Menghan Hu, Qingli Li
(East China Normal University)
11:20Q&A
11:25Multi-Indicator Image Quality Assessment of Smartphone Camera Based on Human Subjective Behavior And Perception Yuwen Zhou, Yunlu Wang, Youyong Kong, Menghan Hu
(Southeast University)
11:35Q&A
11:40Quality Difference Ranking Model for Smartphone Camera Photo Quality Assessment Zefeng Ying, Da Pan, Ping Shi
(Communications University China)
11:50Q&A
11:55Opinion-Unaware No-Reference Image Quality Assessment of Smartphone Camera Images Based On Aesthetics And Human PerceptionZifeng Yuan, Yi Qi, Menghan Hu, Qingli Li
(East China Normal University)
12:05Q&A
12:10Quality Assessment Model for Smartphone Camera Photo based on Inception Network with Residual Module and Batch NormalizationShuning Xu, Junbing Yan, Menghan Hu, Qingli Li, Jiantao Zhou
(University of Macau)
12:20Q&A
12:25Award Ceremony
12:30Close


GC3 – PAIR Competition: Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries

Organisers

  • Prof. Ted T. Kuo (Chair)
  • Prof. Jenq-Neng Hwang
  • Prof. Jiun-In Guo
  • Prof Chia-Chi Tsai

More details

Schedule:

Wednesday, 8 July – London (BST time zone)

TimeTalk/PaperSpeaker(s)
09:30Welcome and IntroductionProf. Ted T. Kuo, Prof. Jenq-Neng Hwang, Prof. Jiun-In Guo
(NCTU)
09:35Award CeremonyProf. Juin-In Guo
(NCTU)
09:45Overview of GC - The 2020 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries Chia-Chi Tsai
(NCTU)
09:57Brief Q&AChia-Chi Tsai
(NCTU)
10:00Efficient YOLO: A Lightweight Model for Embedded Deep Learning Object DtectionZixuan Wang
(Bejing University of Posts and Telecommunications)
10:12Brief Q&A
10:15Real Time Object Detection for Traffic Based on Knowledge Distillation: 3rd Place Solution to PAIR Competition Yuan Zhao
(AI Labs, Didi Chuxing)
10:27Brief Q&A
10:30An Embedded Deep Learning Object Detection Model for Traffic in Asian CountriesWei-Ju Chen
(Foxconn)
10:42Brief Q&A
10:45An Empirical Study of Object Detectors and Its Verification on the Embedded Object Detection Model Competition.Junda Ren
(Xiangtan University)
10:57Brief Q&A
11:00Mobile CenterNet for Embedded Deep Learning Object DetectionHaonian Xie
(University of Science and Technology of China)
11:12Brief Q&A
11:15Discussion, Follow UpProf. Juin-In Guo
(NCTU)
11:20CloseProf. Juin-In Guo
(NCTU)


GC4- Encoding in the Dark

Organisers

  • Angeliki Katsenou (Co-Chair)
  • Paul Hill (Co-Chair)
  • Natheera Anantrsirichai
  • Fan Zhang
  • Alexandra Malyugina

More details

Schedule:

Wednesday, 8 July – London (BST time zone)

TimeTalk/PaperSpeaker(s)
14.30Welcome and IntroductionA. Katsenou, P. Hill
14.35Encoding in the Dark Grand Challenge: an OverviewN. Anantrasirichai, F. Zhang, A. Malyugina, P. Hill, A. Katsenou
14.45Enhancement and Encoding of Low Light Videos based on a Dehazing algorithmHong Gao, Yuan Zhang, Jin Wei, Boya Cheng
14.55Q&A
15.00A CNN-based Post-Processing Algorithm for Dark VideosLi Song, Donghui Feng, Yiwei Zhang
15.10Q&A
15.15Benchmarking and Results from Quality AssessmentAlexandra Malyugina, Fan Zhang
15.23Q&A (Brief)
15.25Presentation of AwardsIoannis Katsavounidis1, Joel Sole2
(1Facebook, 2 Netflix)
15:30CloseA. Katsenou


GC5 – Densely-sampled Light Field Reconstruction

Organisers

  • Prof. Atanas Gotchev (Chair)
  • Robert Bregovic

More details

Schedule:

Wednesday, 8 July – London (BST time zone)

StartTalk/PaperSpeaker(s)
10:00Welcome and Introduction
10:05Overview of Grand ChallengeA. Gotchev
10:15Datasets Robert Bregovic
(TAU)
10:30Overview of Proposed Solutions, Assessment Methodology, Benchmarking, Results and DemonstrationYuan Gao
(TAU)
10:55Q&A
11:10Awards and Plenary Discussion
11:25Closing Remarks and Follow UpA. Gotchev
11:30Close