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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 85  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-04
15:30
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Development of a Method of Growth Diagnosis for Mini-tomatoes Using a Color Stereo Camera
Hiroki Egawa (Wakayama Univ.), Toshiya Tanaka, Hiromi Hanada (Warm Place Gardening Center), Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-74
(To be available after the conference date) [more] PRMU2023-74
pp.134-139
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-25
13:30
Kanagawa Keio Univ. (Hiyoshi Campus) [Fellow Memorial Lecture] Hypothesis Generation and Verification/Refinement -- Messages embedded in my research --
Toshikazu Wada (Wakayama Univ.) PRMU2023-41
 [more] PRMU2023-41
p.13
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI 2023-11-17
14:40
Tottori
(Primary: On-site, Secondary: Online)
A context-dependent character sequence recognition based on ambiguous recognition expression
Shu Kimoto, Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-37
Classification is usually regarded as a task of determining the class to which a given input belongs, however, the class... [more] PRMU2023-37
pp.119-124
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI 2023-11-17
14:40
Tottori
(Primary: On-site, Secondary: Online)
An image based barcode reading using Hough transform and 1-D super resolution
Hiroki Egawa, Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2023-38
There is a demand for automatic reading of shelf tag barcodes captured by mobile robots to assist shelf allocation. In t... [more] PRMU2023-38
pp.125-130
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
09:40
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Pruning for Producing Efficient DNNs: Neuron Selection and Reconstruction based on Final Layer Error
Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-66 IBISML2022-73
Deep Neural Networks (DNNs) are dominant in the field of machine learning. However, because DNN models have large comput... [more] PRMU2022-66 IBISML2022-73
pp.42-47
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
17:30
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
A Study on Data Augmentation by Pixel Value Transformation for Product Image Retrieval DNN
Yu Okamoto, Masaki Kishibe, Toshikazu Wada (Wakayama Univ.) PRMU2022-94 IBISML2022-101
We are developing a product image retrieval DNN for supporting shelving allocation tasks. To train the DNN, product imag... [more] PRMU2022-94 IBISML2022-101
pp.181-186
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
17:00
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Continual learning combining Replay and Parameter Isolation Methods
Ryota Adachi, Toshikazu Wada (Wakayama Univ.) PRMU2022-121 IBISML2022-128
Deep Neural Networks (DNN) are used for various tasks such as image classification, but when a new task is trained on a ... [more] PRMU2022-121 IBISML2022-128
pp.335-340
PRMU 2022-12-15
10:45
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
DN4C -- An Interactive Image Segmentation System Combining Deep Neural Network and Nearest Neighbor Classifier --
Toshikazu Wada, Koji Kamma (Wakayama University) PRMU2022-35
Color/texture based image segmentation can be widely applied to the images for product and/or medical inspection, remote... [more] PRMU2022-35
pp.19-24
PRMU 2022-12-15
14:25
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
A DNN compression method based on output error of activation functions
Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-38
Deep Neural Networks (DNNs) are dominant in the field of machine learning. However, because DNN models have large comput... [more] PRMU2022-38
pp.34-39
PRMU 2022-12-16
10:00
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Image Transformation Simulating the Height Change of Wide-angle Ceiling Camera for People Detection
Hayato Kitao, Toshikazu Wada (Wakayama Univ.) PRMU2022-43
In recent years, surveillance cameras have been widely installed inside the buildings. Especially, wide-angle ceiling ca... [more] PRMU2022-43
pp.57-62
PRMU 2022-12-16
14:10
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Sampling Strategies in Data Pruning
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2022-48
Data Pruning is a method of selecting the training data out of an entire training dataset so as to keep the accuracy aft... [more] PRMU2022-48
pp.85-90
PRMU 2022-09-14
15:45
Kanagawa
(Primary: On-site, Secondary: Online)
Human Pose Transfer with Reduced Color Transfer by Occlusion for Person Re-Identification
Masaki Kishibe, Toshikazu Wada (Wakayama Univ.) PRMU2022-15
Human pose transfer is the task that transforms a person image from the source pose to a given target pose, and is usefu... [more] PRMU2022-15
pp.31-36
PRMU 2022-09-14
16:00
Kanagawa
(Primary: On-site, Secondary: Online)
Convolutional Skip Connection for Compressing DNNs with Branched Architectures
Koji Kamma, Toshikazu Wada (Wakayama Univ.) PRMU2022-16
Although Deep Neural Network (DNN) is a core technology in Computer Vision, it is difficult to implement DNN models beca... [more] PRMU2022-16
pp.37-42
PRMU 2021-12-16
16:30
Online Online Recurrent Tracknet : Continuous ball detection using Deep Neural Network
Gen Maesako, Toshikazu Wada (Wakayama Univ.) PRMU2021-38
 [more] PRMU2021-38
pp.77-82
PRMU 2021-12-16
16:30
Online Online Examination of facial pattern structure estimation using GCN
Naoya Maruoka, Toshikazu Wada (Wkayama Univ.) PRMU2021-41
 [more] PRMU2021-41
pp.92-97
PRMU 2021-12-17
14:45
Online Online Data Selection for Efficient Deep Learning
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2021-51
We are investigating the method to sample the important data from the whole dataset for efficient training of Deep Neura... [more] PRMU2021-51
pp.148-153
PRMU 2021-12-17
15:00
Online Online Toward high-accuracy CNN learning using dropout.
Hirokazu Akiba, Toshikazu Wada (Wakayama Univ.) PRMU2021-52
(To be available after the conference date) [more] PRMU2021-52
pp.154-159
PRMU 2020-12-17
10:45
Online Online Simultaneous pose-region estimation for people tracking
Kazuhiko Watanabe, Toshikazu Wada (Wakayama Univ.) PRMU2020-41
Bottom-up pose estimation often make an incorrect connection between body parts in a crowded situation like group photo.... [more] PRMU2020-41
pp.18-23
PRMU 2020-12-18
10:15
Online Online Corner point detection with reliability metric for homography warping of planer objects
Hiroya Fujiura, Toshikazu Wada (Wakayama Univ) PRMU2020-54
When classifying flat and rectangle objects, such as product packages on shelves, from a slanted image taken at an angle... [more] PRMU2020-54
pp.93-98
PRMU 2020-12-18
11:15
Online Online Supervised disentangled representation learning -- Disentangling features using classifier --
Shujiro Kuroda, Toshikazu Wada (Wakayama Univ.) PRMU2020-58
VAE is a DNN model for unsupervised representation learning. VAE learns to extract features from the input data as laten... [more] PRMU2020-58
pp.116-121
 Results 1 - 20 of 85  /  [Next]  
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