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Acivs 2023 August 21-22, 2023 Kumamoto, Japan |
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Advanced Concepts for Intelligent Vision Systems |
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Acivs 2023 Conference program
Print version of this page.
Introduction
Acivs 2023 is a conference focusing on techniques for building adaptive, intelligent, safe and secure imaging systems. Acivs 2023 consists of five days of lecture sessions, both regular (25 mns) and invited presentations and two poster sessions. To ensure a large audience for each oral presentation or poster, there will be no parallel sessions.
Registration
If you wish to participate in the conference, please register online.
The conference fee includes the social program (conference dinner, coffee breaks, snacks and social activities) and a copy of the LNCS conference proceedings.
The exact amount of the registration fee depends on whether or not you register early and on some other factors.
| Before July 7, 2023 | After July 7, 2023 | |
|---|---|---|
| Regular | 650 EUR/1,150 NZD/100,000 JPY | 700 EUR/1,230 NZD/110,000 JPY |
| 600 EUR/1,050 NZD/95,000 JPY | 700 EUR/1,230 NZD/110,000 JPY | |
| Student | 400 EUR/700 NZD/62,000 JPY | 450 EUR/800 NZD/70,000 JPY |
Time schedule
Monday, August 21
08:30-12:00: Registration
09:00-09:15: Opening session
09:15-10:30: Computer vision
Paper 120: Less-than-one shot 3d segmentation hijacking a pre-trained space-time memory network
Paper 115: Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers
Paper 104: A hybrid quantum-classical segment-based Stereo Matching algorithm
10:30-10:45: Coffee break
10:45-12:00: Affective Computing and Human Interactions (1/2)
Paper 118: BENet: A lightweight bottom-up framework for context-aware emotion recognition
Paper 140: Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs
Paper 138: Image Acquisition by Image Retrieval with Color Aesthetics
12:00-12:30: Lunch break
12:30-14:30: Visit to Kumamoto Castle
Included in the registration fee.
14:30-16:00: IROAST session (invited IROAST presentations)
16:00-18:00: Poster Session 1
Paper 141: Quality assessment for high dynamic range stereoscopic omnidirectional image system
Paper 154: Enhanced Color QR Codes with Resilient Error Correction for Dirt-Prone Surfaces
Paper 146: Underwater mussel segmentation using smoothed shape descriptors with random forest
Paper 110: Person activity classification from an aerial sensor based on a multi-level deep features
Paper 111: Person Quick-Search Approach based on a Facial Semantic Attributes Description
Paper 107: Descriptive and coherent paragraph generation for image paragraph captioning using vision transformer and post-processing
Paper 129: Multimodal Emotion Recognition System Through Three Different Channels (MER-3C)
Paper 150: A 2D Cortical Flat Map Space for Computationally Efficient Mammalian Brain simulation
18:00-18:30: Springer Award of the Best Student Paper
19:30-20:30: Opening reception
Tuesday, August 22
09:00-10:40: Computer vision (2/2)
Paper 105: Continuous Exposure for Extreme Low-Light Imaging
Paper 124: A Single Image Neuro-Geometric Depth Estimation
Paper 108: Pyramid Swin Transformer for Multi-Task: Expanding to more computer vision tasks
Paper 131: A Contrario Mosaic Analysis for Image Forensics
10:40-11:00: Coffee break
11:00-12:15: Managing the biodiversity
Paper 151: Construction of a novel data set for pedestrian tree species detection using google street view data
Paper 142: Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging
Paper 106: Semi-supervised Classification and Segmentation of Forest Fire using Autoencoders
12:15-12:40: Lunch break
12:40-14:45: Robotics and drones
Paper 119: Yolopoint: Joint Keypoint and Object Detection
Paper 121: Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network
Paper 122: Upsampling Data Challenge: Object-aware Approach for 3D Object Detection in Rain
Paper 130: Multi-Modal Obstacle Avoidance in USVs via Anomaly Detection and Cascaded Datasets
Paper 145: Reinforcement Learning for truck Eco-driving: a serious game as driving assistance system
14:45-15:05: Coffee break
15:05-16:20: Machine Learning
Paper 152: Texture-based Data Augmentation for Small Datasets
Paper 127: A Deep Learning Approach to Segment High-Content Images of the E.coli Bacteria
Paper 137: Iris Segmentation Technique Using Iris-UNet Method
16:20-17:10: Affective Computing and Human Interactions (2/2)
Paper 153: Multimodal Representations for Teacher-Guided Compositional Visual Reasoning
Paper 125: Wave-shaping Neural Activation for Improved 3D Model Reconstruction from Sparse Point Clouds
17:10-: End of the ACIVS conference
19:00-21:00: Conference dinner
Included in the registration fee.