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2
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Sunday, October 16 | ||||||||||||||
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4
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IEEE ICIP 2022 Program at a glance | ||||||||||||||
5
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Day | Sunday, October 16, 2022 | |||||||||||||
6
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Registration
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08:00-17:30 | |||||||||||||
7
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Location | Lecture rooms (Floor 1) | |||||||||||||
8
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Time\Room | Room A | Room B1 | Room C1 | Room C2 | Room F1 | Room G | ||||||||
9
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09:00-10:30 | PROGRESS PROmotinG diveRsity in signal procESSing | Tutorial T1 DeepFake detection: Overview, Recent Works and Current Challenges |
Tutorial T3 Stochastic Bayesian methods for imaging inverse problems: from Monte Carlo to score-matching and deep learning |
Tutorial T5 Multi-task image and video compression (Virtual) |
Tutorial T10 Point Cloud + Volumetric Visual Data Compression |
GC1.G Video distortion detection and classification in the context of video surveillance |
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10
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10:30-10:35 | Coffee break (mezzanine) | |||||||||||||
11
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10:35-11:00 | Coffee break (mezzanine) | |||||||||||||
12
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11:00-11:05 | T1 | T3 | T5 | T10 | GC2.G Seeing beyond the visible: Estimating soil parameters from hyperspectral images |
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13
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11:00-12:30 | PROGRESS | |||||||||||||
14
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12:30-12:45 | Lunch break (mezzanine) | |||||||||||||
15
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12:45-14:00 | Lunch break (mezzanine) | |||||||||||||
16
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14:00-14:15 | Tutorial T6 Green Learning: Methodologies and Applications |
Tutorial T7 Image Fusion meets Deep Learning: Overview, Recent Works, Current Challenges |
Tutorial T8 Primal-dual saddle-point methods in optimization for imaging |
Tutorial T9 Imaging Through Atmospheric Turbulence: Theory, Simulation, and Restoration |
VIP Cup Synthetic Image Detection |
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17
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14:15-15:05 | PROGRESS | |||||||||||||
18
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15:05-15:30 | Coffee break (mezzanine) | |||||||||||||
19
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15:30-15:35 | Coffee break (mezzanine) | |||||||||||||
20
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15:35-16:00 | PROGRESS | |||||||||||||
21
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16:00-17:30 | T6 | T7 | T8 | T9 | VIP Cup | |||||||||
22
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17:30-18h30 | ||||||||||||||
23
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24
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Social event
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18:30-21:30 Welcome reception, Palais de la Bourse | |||||||||||||
25
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26
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27
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28
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Monday, October 17 | ||||||||||||||
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30
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IEEE ICIP 2022 Program at a glance | ||||||||||||||
31
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Day | Monday, October 17, 2022 | |||||||||||||
32
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Registration
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07:30-17:30 | |||||||||||||
33
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Location | Agora (Floor 0) | Lecture rooms (Floor 1) | Pullman Hotel | |||||||||||
34
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Time\Room | Amphitheatre | Industry Demo Zone |
Poster Zone 1 | Poster Zone 2 | Poster Zone 3 | Poster Zone 4 | Poster Zone 5 | Room A | Room B | Room C1 | Room C2 | Rohan B | ||
35
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08:40-09:00 | Opening Ceremony, Amphitheatre | |||||||||||||
36
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09:00-10:00 | PLEN-1: Plenary 1, Amphitheatre, Gabriele Steidl, Generative Neural Networks via Markov Chains | |||||||||||||
37
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38
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10:00-10:30 | MA-P.PZ1 Image and Video Processing |
MA-P.PZ2 Learning and Graphical Models in Computational Imaging |
MA-P.PZ3 Interpretation and Understanding |
MA-P.PZ4 Image and Video Communication |
MA-P.PZ5 Computational Imaging Systems |
Coffee break (Agora) | ||||||||
39
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10:30-12:30 | MA-L.A Special session: Advances in Open Video Codecs |
MA-L.B Medical Image Analysis |
MA-L.C1 Machine Learning for Image & Video Sensing |
MA-L.C2 Learning Methodology |
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40
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41
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42
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43
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12:30-14:00 | Lunch break (Agora) | Student Job Fair and Luncheon | ||||||||||||
44
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45
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46
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14:00-14:30 | Industry Demo | MQ-L.A Special session: Learning-Based Quality Prediction for Advanced Media |
MQ-L.B Deep Methods for Restoration and Enhancement |
MQ-L.C1 Image / Video Interpretation and Understanding |
MQ-L.C2 Learning on Graphs |
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47
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14:30-15:30 | IWS-1 Video accelerators and their applications at Meta |
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48
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49
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15:30-16:00 | ||||||||||||||
50
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16:00-16:30 | Coffee break | MP-P.PZ1 Imaging and Media Applications |
MP-P.PZ2 Machine Learning for Biomedical Image Processing |
MP-P.PZ3 Information Forensics and Security |
MP-P.PZ4 Point Cloud Processing |
MP-P.PZ5 Special session: New Challenges in Image Processing |
Coffee break (Agora) | |||||||
51
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16:30-18:00 | GC3.G Challenge Session: Parasitic Egg Detection and Classification in Microscopic Images |
MP-L.A Special Session: Autonomous Vehicle Vision (AVVision) |
MP-L.B Super-Resolution and Mosaicing |
MP-L.C1 Image and Video Retrieval |
MP-L.C2 Machine Learning for Image Processing |
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52
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53
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54
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18:00-18:30 | Young Professionals Networking Event | |||||||||||||
55
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18:30-20:00 | ||||||||||||||
56
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57
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58
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59
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60
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61
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Tuesday, October 18 | ||||||||||||||
62
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63
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IEEE ICIP 2022 Program at a glance | ||||||||||||||
64
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Day | Tuesday, October 18, 2022 | |||||||||||||
65
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Registration
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08:00-17:30 | |||||||||||||
66
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Location | Agora (Floor 0) | Lecture rooms (Floor 1) | Pullman Hotel | |||||||||||
67
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Time\Room | Amphitheatre | Industry Demo Zone |
Spotlight Session Zone | Poster Zone 1 | Poster Zone 2 | Poster Zone 3 | Poster Zone 4 | Poster Zone 5 | Room A | Room B | Room C1 | Room C2 | Rohan ABC | |
68
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09:00-10:00 | PLEN-2: Plenary 2, Amphitheatre, Patrick Pérez, From sensing to understanding a wild world | |||||||||||||
69
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70
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10:00-10:30 | Coffee break | Industry Demo | Coffee break | TA-P.PZ1 Machine Learning for Biomedical Processing |
TA-P.PZ2 Learning Image Transformations |
TA-P.PZ3 Learning Methods for Segmentation |
TA-P.PZ4 Lossy Coding of Images and Video |
TA-P.PZ5 Image and Video Synthesis, Rendering, and Visualization |
Coffee break (Agora) | |||||
71
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10:30-12:30 | TA-L.A Special session: SCENA: Simplification, Compression and Efficiency with Neural networks and Artificial intelligence |
TA-L.B Restoration and Enhancement |
TA-L.C1 Machine Learning for Image & Video Analysis |
TA-L.C2 Self-Supervised Learning |
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72
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73
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74
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75
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12:30-14:00 | Lunch break (Agora) | Women in Signal Processing | ||||||||||||
76
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77
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78
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14:00-14:30 | TQ-L.A Special session: Neuromorphic and perception-based image acquisition and analysis |
TQ-L.B Computational Imaging Methods and Models |
TQ-L.C1 Information Forensics and Security |
TQ-L.C2 Weakly Supervised and Unsupervised Learning |
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79
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14:30-15:00 | ||||||||||||||
80
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15:00-16:00 | PAN-1 Video Quality Metrics and Their Industry Applications |
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81
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82
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16:00-16:30 | Coffee break | TP-P.PZ1 Biomedical Processing |
TP-P.PZ2 Image and Video Sensing and Modeling |
TP-P.PZ3 Perception and Quality Models |
TP-P.PZ4 Electronic imaging |
Coffee break (Agora) | ||||||||
83
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16:30-18:00 | Student Research Networking Event | TP-L.A Special Session: Multimedia Forensics and Security in Deep Learning Era |
TP-L.B Machine Learning for Image Recovery |
TP-L.C1 Image and Video Analysis |
TP-L.C2 Learning for Segmentation |
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84
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85
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86
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18:00-18:30 | ||||||||||||||
87
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Social event
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19:30-22:30 Gala dinner, Hangar 14 | |||||||||||||
88
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89
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90
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Wednesday, October 19 | ||||||||||||||
91
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92
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IEEE ICIP 2022 Program at a glance | ||||||||||||||
93
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Day | Wednesday, October 19, 2022 | |||||||||||||
94
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Registration
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08:00-17:30 | |||||||||||||
95
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Location | Agora (Floor 0) | Lecture rooms (Floor 1) | ||||||||||||
96
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Time\Room | Amphitheatre | Industry Demo Zone |
Poster Zone 1 | Poster Zone 2 | Poster Zone 3 | Poster Zone 4 | Poster Zone 5 | Room A | Room B | Room C1 | Room C2 | |||
97
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08:40-09:00 | ICIP 2023, Amphitheatre | |||||||||||||
98
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09:00-10:00 | PLEN-3: Plenary 3, Amphitheatre, Eero Simoncelli, Photographic Image Priors in the Era of Machine Learning | |||||||||||||
99
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100
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10:00-10:30 | Coffee break | Industry Demo | WA-P.PZ1 Image Classification |
WA-P.PZ2 Detection and Regression |
WA-P.PZ3 Adversarial Robustness |
WA-P.PZ4 Restoration and Enhancement |
WA-P.PZ5 3D Image and Video Processing |
Coffee break (Agora) | ||||||
101
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10:30-12:30 | WA-L.A Special session: Vascular Image Analysis |
WA-L.B Computational Imaging Systems |
WA-L.C1 Lossy Coding of Images and Video |
WA-L.C2 Machine Learning for Image & Video Synthesis |
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102
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103
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104
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105
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12:30-14:00 | Lunch break (Agora) | |||||||||||||
106
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107
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108
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14:00-14:30 | WQ-L.A Special session: Machine Learning for Computational Imaging in Earth Sciences |
WQ-L.B 3D Image and Video Processing |
WQ-L.C1 Lossy Coding of Images and Video |
WQ-L.C2 Biomedical Image Segmentation |
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109
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14:30-16:00 | IWS-2 Industry Workshop – Google |
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110
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111
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112
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16:00-16:30 | Coffee break (Agora) | WP-P.PZ1 Machine Learning for Image & Video Sensing, Modeling, and Representation |
WP-P.PZ2 Machine Learning for Image & Video Sensing, Modeling, and Representation |
WP-P.PZ3 Machine Learning for Image & Video Analysis |
WP-P.PZ4 Machine learning for image & video analysis, synthesis, and retrieval |
WP-P.PZ5 Computational Imaging Methods and Models |
Coffee break (Agora) | |||||||
113
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16:30-18:30 | WP-L.A Special Session: Analysis of Aerial Motion Imagery |
WP-L.B Machine Learning for 3D Processing |
WP-L.C1 Perception and Quality Models |
WP-L.C2 Machine Learning for Biomedical Image Processing |
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114
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115
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- General
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- PROGRESS
- Student Job Fair and Luncheon
- Young Professionals Networking Event
- Women in Signal Processing Luncheon
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- Industry Workshops
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