IEEE ICIP 2022 || Bordeaux, France || 16-19 October 2022

WA-P.PZ2: Detection and Regression

Wed, 19 Oct, 16:00 - 18:30 China Standard Time (UTC +8)
Wed, 19 Oct, 10:00 - 12:30 Central European Time (UTC +1)
Wed, 19 Oct, 08:00 - 10:30 UTC
Wed, 19 Oct, 04:00 - 06:30 Eastern Time (UTC -5)

Poster

Location: Poster Zone 2

Session Co-Chairs: Andrea Cavallaro, Queen Mary University of London and Jean-Christophe Pesquet, CentraleSupélec and Rebecca Willett, University of Chicago

Track: Applications of Machine Learning

WA-P.PZ2.1: A PROPER ORTHOGONAL DECOMPOSITION APPROACH FOR PARAMETERS REDUCTION OF SINGLE SHOT DETECTOR NETWORKS

Laura Meneghetti, Nicola Demo, Gianluigi Rozza, SISSA, Italy

WA-P.PZ2.2: IMPROVED HARD EXAMPLE MINING APPROACH FOR SINGLE SHOT OBJECT DETECTORS

Aybora Koksal, Onder Tuzcuoglu, Kutalmis Gokalp Ince, A. Aydin Alatan, Middle East Technical University, Turkey; Yoldas Ataseven, ASELSAN Inc., Turkey

WA-P.PZ2.3: MULTI-SCALE DEFORMABLE TRANSFORMER ENCODER BASED SINGLE-STAGE PEDESTRIAN DETECTION

Jing Yuan, Tania Stathaki, Imperial College London, United Kingdom of Great Britain and Northern Ireland; Panagiotis Barmpoutis, University College London, United Kingdom of Great Britain and Northern Ireland

WA-P.PZ2.4: Class-wise FM-NMS for Knowledge Distillation of Object Detection

Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Chubu University, Japan

WA-P.PZ2.5: PREDICTING PATH LOSS DISTRIBUTIONS OF A WIRELESS COMMUNICATION SYSTEM FOR MULTIPLE BASE STATION ALTITUDES FROM SATELLITE IMAGES

Ibrahim Shoer, Koc University, Turkey; Bahadir Gunturk, Hasan Ates, Istanbul medipol university, Turkey; Tuncer Baykas, Kadir Has University, Turkey

WA-P.PZ2.1: A PROPER ORTHOGONAL DECOMPOSITION APPROACH FOR PARAMETERS REDUCTION OF SINGLE SHOT DETECTOR NETWORKS

WA-P.PZ2.2: IMPROVED HARD EXAMPLE MINING APPROACH FOR SINGLE SHOT OBJECT DETECTORS

WA-P.PZ2.3: MULTI-SCALE DEFORMABLE TRANSFORMER ENCODER BASED SINGLE-STAGE PEDESTRIAN DETECTION

WA-P.PZ2.4: Class-wise FM-NMS for Knowledge Distillation of Object Detection

WA-P.PZ2.5: PREDICTING PATH LOSS DISTRIBUTIONS OF A WIRELESS COMMUNICATION SYSTEM FOR MULTIPLE BASE STATION ALTITUDES FROM SATELLITE IMAGES

WA-P.PZ2.6: IMAGE-BASED AIR QUALITY FORECASTING THROUGH MULTI-LEVEL ATTENTION

WA-P.PZ2.7: SEQDNET: IMPROVING MISSING VALUE BY SEQUENTIAL DEPTH NETWORK

WA-P.PZ2.8: ACCELERATING A MORPHOLOGY-PRESERVING ADSORPTION MODEL BY DEEP LEARNING

WA-P.PZ2.9: Monitoring of Varroa Infestation rate in Beehives: A Simple AI Approach