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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-18 15:45 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
A Study on Improving Prediction Accuracy of Frame Extrapolation Using Forward Warping Kazuki Kotoyori, Shota Hirose, Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.)  SIP2023-6 BioX2023-6 IE2023-6 |
Recently, many extrapolation models, which predict future frames of video, have been proposed. This study proposes to ch... [more] | SIP2023-6 BioX2023-6 IE2023-6 pp.22-27 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2022-11-30 16:15 |
Kumamoto | (Primary: On-site, Secondary: Online) |
FPGA Implementation of Learned Image Compression Heming Sun (Waseda U), Qingyang Yi (UTokyo), Jiro Katto (Waseda U), Masahiro Fujita (UTokyo) VLD2022-53 ICD2022-70 DC2022-69 RECONF2022-76 |
Learned image compression (LIC) has reached a superior coding gain than traditional hand-crafted standards such as JPEG ... [more] | VLD2022-53 ICD2022-70 DC2022-69 RECONF2022-76 pp.194-199 |
| SeMI, IPSJ-MBL, IPSJ-UBI | 2022-03-08 14:45 |
Online | Online | Evaluation of Data Augmentation Methods Considering Occlusion Region for 3D Point Cloud Classification Shiori Maki, Kenji Kanai, Shota Hirose, Heming Sun, Jiro Katto (Waseda Univ.) SeMI2021-91 |
In recent years, research of point cloud classification using deep learning has been improved. In this paper, we propose... [more] | SeMI2021-91 pp.47-52 |
| IE | 2022-01-24 10:00 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Ensemble learning for road damage detection Naoki Wada, Shota Hirose, Heming Sun, Jiro Katto (Waseda Univ.) IE2021-30 |
As most of the roads in Japan are approaching the renewal stage, there is a need for automatic detection of road damages... [more] | IE2021-30 pp.15-20 |
| IE | 2022-01-24 10:25 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Investigation for good technique to improve the accuracy of INT8 deep learning model for super-resolution Shota Hirose, Naoki Wada, Heming Sun, Jiro Katto (Waseda Univ.) IE2021-29 |
(To be available after the conference date) [more] | IE2021-29 pp.9-14 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-14 13:50 |
Online | Online | Pedestrian Radar Map System using 360-degree camera Kazuki Murayama, Kenji Kanai, Masaru Takeuchi, Heming Sun, Jiro Katto (Waseda Univ.) SeMI2021-18 |
In recent years, the demand for urban monitoring using ICT technology has increased. Especially, for achieving a full ba... [more] | SeMI2021-18 pp.29-34 |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-03 14:45 |
Online | Online | A Study on Polynomial Functions for Optical Flow Estimation Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2021-1 BioX2021-1 IE2021-1 |
Recently, many deep learning based models for optical flow estimation have been proposed. Optical flow estimation is uti... [more] | SIP2021-1 BioX2021-1 IE2021-1 pp.1-5 |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-03 16:30 |
Online | Online | A Study on Compression Artifacts Reduction by a Super-Resolution Network Shion Komatsu, Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2021-4 BioX2021-4 IE2021-4 |
Due to the huge amount of information in digital video signals, video compression is used to reduce the amount of inform... [more] | SIP2021-4 BioX2021-4 IE2021-4 pp.15-20 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-01 16:40 |
Online | Online | VVC Video Coding with Deep Learning Based Frame Interpolation Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) IMQ2020-18 IE2020-58 MVE2020-50 |
Recently, many deep learning based models for frame interpolation have been proposed. In this paper, we propose a novel ... [more] | IMQ2020-18 IE2020-58 MVE2020-50 pp.40-45 |
| HWS, VLD [detail] | 2020-03-05 14:30 |
Okinawa | Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
[Memorial Lecture]
Small-Area and Low-Power FPGA-Based Multipliers using Approximate Elementary Modules Yi Guo, Heming Sun, Shinji Kimura (Waseda Univ.) VLD2019-117 HWS2019-90 |
[more] | VLD2019-117 HWS2019-90 p.137 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 13:00 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
Video Coding Using Optimal Intra Prediction Mode Estimation by CNN Ryota Yokoyama, Masahiko Tahara (Waseda Univ.), Heming Sun (Waseda Univ./JST), Masaru Takeuchi (Waseda Univ.), Yasutaka Matsuo (NHK), Jiro Katto (Waseda Univ.) ITS2019-33 IE2019-71 |
These days, efficient video coding is required due to spread of video production and viewing, and high definition video.... [more] | ITS2019-33 IE2019-71 pp.171-176 |
| VLD | 2017-03-01 15:30 |
Okinawa | Okinawa Seinen Kaikan | High accuracy 8*8 approximate multiplier based on OR operation Yi Guo, Heming Sun, Canran Jin, Shinji Kimura (Waseda Univ.) VLD2016-105 |
Approximate computing is a promising approach for error-tolerate applications. Multipliers contribute more area and dela... [more] | VLD2016-105 pp.19-24 |
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