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Si-Dong Roh
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2020 – today
- 2023
- [j2]Si-Dong Roh
, Ki-Seok Chung
:
DiffusionVID: Denoising Object Boxes With Spatio-Temporal Conditioning for Video Object Detection. IEEE Access 11: 121434-121444 (2023) - [c6]Jihee Kim, Sangki Park, Si-Dong Roh
, Ki-Seok Chung
:
An Efficient Noisy Label Learning Method with Semi-supervised Learning: An Efficient Noisy Label Learning Method with Semi-supervised Learning. ICMVA 2023 - [c5]Kwang-Soo Seol, Si-Dong Roh, Ki-Seok Chung:
Token Merging with Class Importance Score. IECON 2023: 1-6 - [c4]Seungyeon Koo, Sangki Park, Si-Dong Roh, Ki-Seok Chung:
iNLC: Iterative Noisy Label Correction. SITIS 2023: 99-106 - 2022
- [j1]Si-Dong Roh
, Ki-Seok Chung
:
DAFA: Diversity-Aware Feature Aggregation for Attention-Based Video Object Detection. IEEE Access 10: 93453-93463 (2022) - 2021
- [c3]Jun-Gu Kang, Si-Dong Roh, Ki-Seok Chung:
FlowNetU: Accurate Uncertainty Estimation of Optical Flow for Video Object Detection. AIPR 2021: 36-41 - [c2]Hyuntak Lim, Si-Dong Roh, Sangki Park, Ki-Seok Chung:
Robustness-Aware Filter Pruning for Robust Neural Networks Against Adversarial Attacks. MLSP 2021: 1-6 - 2020
- [c1]Won-Hyuk Lee, Si-Dong Roh, Sangki Park, Ki-Seok Chung:
Direct Conversion: Accelerating Convolutional Neural Networks Utilizing Sparse Input Activation. IECON 2020: 441-446
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