Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Seung-Hwan Bae"'
Autor:
Hun-Beom Bak, Seung-Hwan Bae
Publikováno v:
IEEE Access, Vol 12, Pp 53533-53548 (2024)
We tackle a multi-layer knowledge distillation problem between deep models with heterogeneous architectures. The main challenges of that are the mismatches of the feature maps in terms of the resolution or semantic levels. To resolve this, we propose
Externí odkaz:
https://doaj.org/article/cd990eb1c64f4dbfbb5198a3c51ec943
Autor:
Seung-Hwan Bae
Publikováno v:
IEEE Access, Vol 8, Pp 90324-90339 (2020)
Multi-object tracking (MOT) constructs multiple object trajectories by associating detections between consecutive frames while maintaining object identities. In many autonomous systems equipped with a camera and a radar, an amplitude and visual featu
Externí odkaz:
https://doaj.org/article/7d926228cef34fdaa6a3baf0059b84fa
Publikováno v:
IEEE Access, Vol 8, Pp 45421-45431 (2020)
The recent advance of synthetic image generation and manipulation methods allows us to generate synthetic face images close to real images. On the other hand, the importance of identifying the synthetic face images increases more and more to protect
Externí odkaz:
https://doaj.org/article/b215df8dd6f242859b25e02fc85b7f80
Publikováno v:
Sensors, Vol 22, Iss 20, p 7943 (2022)
Effective multi-object tracking is still challenging due to the trade-off between tracking accuracy and speed. Because the recent multi-object tracking (MOT) methods leverage object appearance and motion models so as to associate detections between c
Externí odkaz:
https://doaj.org/article/68dd8041722742cb92d49fc28ba5583e
Publikováno v:
IEEE Access, Vol 7, Pp 56591-56605 (2019)
Generating realistic images with fine details are still challenging due to difficulties of training GANs and mode collapse. To resolve this problem, our main idea is that leveraging the knowledge of an image classification network, which is pre-train
Externí odkaz:
https://doaj.org/article/6897d0ce22954b6dbef703d1072f9b23
Publikováno v:
IEEE Access, Vol 6, Pp 67316-67328 (2018)
A data association, which links detections in consecutive frames, is a key issue in multi-object tracking (MOT). For robust data association in a complex scene, a common approach is to learn object appearance models for handling appearance variations
Externí odkaz:
https://doaj.org/article/092e51e967e54acd843b0384d3a2f993
Autor:
Seung-Hwan Bae
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-18
Autor:
Seung-Hwan Bae
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:95-103
In a convolutional object detector, the detection accuracy can be degraded often due to the low feature discriminability caused by geometric variation or transformation of an object. In this paper, we propose a deformable part region learning in orde
Autor:
Donghwa Kang, Seunghoon Lee, Hoon Sung Chwa, Seung-Hwan Bae, Chang Mook Kang, Jinkyu Lee, Hyeongboo Baek
Different from existing MOT (Multi-Object Tracking) techniques that usually aim at improving tracking accuracy and average FPS, real-time systems such as autonomous vehicles necessitate new requirements of MOT under limited computing resources: (R1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78a32b29454f1955c8b5051f5b96100d
http://arxiv.org/abs/2210.11946
http://arxiv.org/abs/2210.11946
Tendon Resection and Functional Rehabilitation for Achilles Tendon Infection Following Tendon Repair
Publikováno v:
Foot & Ankle Orthopaedics, Vol 1 (2016)
Category: Other. Introduction/Purpose: An infected Achilles tendon after tendon repair is particularly difficult to treat because of the poor vascularity of the tendon, itself, as well as the thin surrounding soft tissue. For management of an infecte
Externí odkaz:
https://doaj.org/article/2f46a10c4da04b028c9e0b0fda693ef7