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HYOJIN PARK (박효진)
HYOJIN PARK (박효진)
Qualcomm AI Research
Verified email at qti.qualcomm.com - Homepage
Title
Cited by
Cited by
Year
A comprehensive overhaul of feature distillation
B Heo, J Kim, S Yun, H Park, N Kwak, JY Choi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
5122019
Enhancement of SSD by concatenating feature maps for object detection
J Jeong, H Park, N Kwak
arXiv preprint arXiv:1705.09587, 2017
4172017
Mc-gan: Multi-conditional generative adversarial network for image synthesis
H Park, Y Yoo, N Kwak
arXiv preprint arXiv:1805.01123, 2018
732018
Concentrated-comprehensive convolutions for lightweight semantic segmentation
H Park, Y Yoo, G Seo, D Han, S Yun, N Kwak
arXiv preprint arXiv:1812.04920, 2018
40*2018
Sinet: Extreme lightweight portrait segmentation networks with spatial squeeze module and information blocking decoder
H Park, L Sjosund, YJ Yoo, N Monet, J Bang, N Kwak
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
362020
Learning dynamic network using a reuse gate function in semi-supervised video object segmentation
H Park, J Yoo, S Jeong, G Venkatesh, N Kwak
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
342021
Extremec3net: Extreme lightweight portrait segmentation networks using advanced c3-modules
H Park, LL Sjösund, YJ Yoo, J Bang, N Kwak
arXiv preprint arXiv:1908.03093, 2019
262019
Panoptic, instance and semantic relations: A relational context encoder to enhance panoptic segmentation
S Borse, H Park, H Cai, D Das, R Garrepalli, F Porikli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
132022
Debasmit Das, Risheek Garrepalli, and Fatih Porikli. Panoptic, instance and semantic relations: A relational context encoder to enhance panoptic segmentation
S Borse, H Park, H Cai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
72022
Superpixel-based semantic segmentation trained by statistical process control
H Park, J Jeong, Y Yoo, N Kwak
arXiv preprint arXiv:1706.10071, 2017
72017
Dejavu: Conditional regenerative learning to enhance dense prediction
S Borse, D Das, H Park, H Cai, R Garrepalli, F Porikli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
52023
TTVOS: Lightweight video object segmentation with adaptive template attention module and temporal consistency loss
H Park, G Venkatesh, N Kwak
arXiv preprint arXiv:2011.04445, 2020
52020
Transadapt: A transformative framework for online test time adaptive semantic segmentation
D Das, S Borse, H Park, K Azarian, H Cai, R Garrepalli, F Porikli
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
42023
Real-time, accurate, and consistent video semantic segmentation via unsupervised adaptation and cross-unit deployment on mobile device
H Park, A Yessenbayev, T Singhal, NK Adhikari, Y Zhang, SM Borse, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
42022
Adaptive template and transition map for real-time video object segmentation
H Park, J Yoo, G Venkatesh, N Kwak
IEEE Access 9, 116914-116926, 2021
32021
Test-time adaptation vs. training-time generalization: A case study in human instance segmentation using keypoints estimation
K Azarian, D Das, H Park, F Porikli
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
22023
PosSAM: Panoptic Open-vocabulary Segment Anything
V VS, S Borse, H Park, D Das, V Patel, M Hayat, F Porikli
arXiv preprint arXiv:2403.09620, 2024
2024
Online adaptation of segmentation machine learning systems
KA Yazdi, DAS Debasmit, H Park, FM Porikli
US Patent App. 18/364,728, 2024
2024
Feature conditioned output transformer for generalizable semantic segmentation
DAS Debasmit, SM Borse, H Park, KA Yazdi, H Cai, R Garrepalli, ...
US Patent App. 18/349,726, 2024
2024
Online test time adaptive semantic segmentation with augmentation consistency
DAS Debasmit, SM Borse, H Park, KA Yazdi, H Cai, R Garrepalli, ...
US Patent App. 18/349,771, 2024
2024
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