E-LIB Suche - Ergebnisse für: Seong, Tae Kim

1

Region matching based on local structure information in ips..:

, In: 2015 IEEE International Conference on Image Processing (ICIP),

Seong, Tae Kim ; Dae, Hoe Kim ; Dong, Jin Ji. - p. 252-256 , 2015

Link: https://doi.org/10.1109/..

2

Dissecting Mixed-Sample Data Augmentation Models via Neural..:

, In: 2024 International Conference on Information Networking (ICOIN),

Won, Soyoun ; Bae, Sung-Ho ; Kim, Seong Tae - p. 187-190 , 2024

Link: https://doi.org/10.1109/..

3

Federated Learning for Sleep Stage Classification on Edge D..:

, In: 2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin),

Moon, SungHwan ; Kim, Tae Seong ; Ryu, Jihye. - p. 188-192 , 2023

Link: https://doi.org/10.1109/..

4

LINe: Out-of-Distribution Detection by Leveraging Important..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Ahn, Yong Hyun ; Park, Gyeong-Moon ; Kim, Seong Tae - p. 19852-19862 , 2023

Link: https://doi.org/10.1109/..

5

Towards Robust Audio-Based Vehicle Detection Via Importance..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Kim, Jung Uk ; Tae Kim, Seong - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

6

Exploiting Diversity of Unlabeled Data for Label-Efficient ..:

, In: 2022 26th International Conference on Pattern Recognition (ICPR),

Buchert, Felix ; Navab, Nassir ; Kim, Seong Tae - p. 2063-2069 , 2022

Link: https://doi.org/10.1109/..

7

Explaining COVID-19 and Thoracic Pathology Model Prediction..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,

Khakzar, Ashkan ; Zhang, Yang ; Mansour, Wejdene... - p. 391-401 , 2021

Link: https://doi.org/10.1007/..

8

Towards Semantic Interpretation of Thoracic Disease and COV..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,

Khakzar, Ashkan ; Musatian, Sabrina ; Buchberger, Jonas... - p. 499-508 , 2021

Link: https://doi.org/10.1007/..

9

Longitudinal Quantitative Assessment of COVID-19 Infection ..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,

Kim, Seong Tae ; Goli, Leili ; Paschali, Magdalini... - p. 273-282 , 2021

Link: https://doi.org/10.1007/..

10

OperA: Attention-Regularized Transformers for Surgical Phas..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,

Czempiel, Tobias ; Paschali, Magdalini ; Ostler, Daniel... - p. 604-614 , 2021

Link: https://doi.org/10.1007/..

11

Spatio-Temporal Learning from Longitudinal Data for Multipl..:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,

Denner, Stefan ; Khakzar, Ashkan ; Sajid, Moiz... - p. 111-121 , 2021

Link: https://doi.org/10.1007/..

12

Towards High-Performance Object Detection: Task-Specific De..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Kim, Jung Uk ; Kim, Seong Tae ; Kim, Eun Sung.. - p. 4317-4321 , 2020

Link: https://doi.org/10.1109/..

13

TeCNO: Surgical Phase Recognition with Multi-stage Temporal..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science,

Czempiel, Tobias ; Paschali, Magdalini ; Keicher, Matthias... - p. 343-352 , 2020

Link: https://doi.org/10.1007/..

14

Feature2Mass: Visual Feature Processing in Latent Space for..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2018 Workshops,

Lee, Jae-Hyeok ; Kim, Seong Tae ; Lee, Hakmin. - p. 326-334 , 2019

Link: https://doi.org/10.1007/..

15

Probenet: Probing Deep Networks:

, In: 2019 IEEE International Conference on Image Processing (ICIP),

Lee, Jae-Hyeok ; Kim, Seong Tae ; Ro, Yong Man - p. 3821-3825 , 2019

Link: https://doi.org/10.1109/..