Rainbow memory: Continual learning with a memory of diverse samples J Bang, H Kim, YJ Yoo, JW Ha, J Choi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 294 | 2021 |
Online continual learning on a contaminated data stream with blurry task boundaries J Bang, H Koh, S Park, H Song, JW Ha, J Choi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 40 | 2022 |
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 | 38 | 2020 |
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 | 32 | 2019 |
Online boundary-free continual learning by scheduled data prior H Koh, M Seo, J Bang, H Song, D Hong, S Park, JW Ha, J Choi The Eleventh International Conference on Learning Representations, 2023 | 15 | 2023 |
Generating instance-level prompts for rehearsal-free continual learning D Jung, D Han, J Bang, H Song Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
Meta-query-net: Resolving purity-informativeness dilemma in open-set active learning D Park, Y Shin, J Bang, Y Lee, H Song, JG Lee Advances in Neural Information Processing Systems 35, 31416-31429, 2022 | 12 | 2022 |
Ai-based drone object tracking system: design and implementation D Kim, WJ Kang, YP Koo, JH Bang, KH Son, D Hostallero, SE Yoon, ... The Journal of Korean Institute of Communications and Information Sciences …, 2017 | 12* | 2017 |
Self-supervised set representation learning for unsupervised meta-learning DB Lee, S Lee, J Ko, K Kawaguchi, J Lee, SJ Hwang arXiv preprint arXiv:2310.06511, 2023 | 8 | 2023 |
Prompt-Guided DETR with RoI-pruned masked attention for open-vocabulary object detection H Song, J Bang Pattern Recognition, 110648, 2024 | 6* | 2024 |
Efficient active learning for automatic speech recognition via augmented consistency regularization J Bang, H Kim, Y Yoo, JW Ha arXiv preprint arXiv:2006.11021, 2020 | 5 | 2020 |
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples J Bang, H Kim, YJ Yoo, JW Ha arXiv preprint arXiv:2006.11021, 2020 | 3 | 2020 |
CH-MAC: a cluster-based, hybrid TDMA MAC protocol over wireless ad-hoc networks H Choi, J Bang, N Ahn, J Jung, J Choi, S Park, Y Yi MILCOM 2019-2019 IEEE Military Communications Conference (MILCOM), 743-748, 2019 | 3 | 2019 |
Incentivizing hosts via multilateral cooperation in user-provided networks: A fluid shapley value approach H Lee, J Bang, Y Yi Proceedings of the Eighteenth ACM International Symposium on Mobile Ad Hoc …, 2018 | 3 | 2018 |
Adaptive Shortcut Debiasing for Online Continual Learning D Kim, D Park, Y Shin, J Bang, H Song, JG Lee Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13122 …, 2024 | 1 | 2024 |
Active Prompt Learning in Vision Language Models J Bang, S Ahn, JG Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning D Kim, S Yoon, D Park, Y Lee, H Song, J Bang, JG Lee arXiv preprint arXiv:2311.12048, 2023 | 1 | 2023 |
On the Efficiency of Running Machine Learning Tasks for Drone-Based Target Tracking : Cloud-Based vs. Drone-Based KH Son, DW Kim, J Bang, WJ Kang, SE Yoon, YP Koo, HH Yeo, JH Ha, ... The Journal of Korean Institute of Communications and Information Sciences …, 2018 | 1* | 2018 |
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference J Bang, J Lee, K Shim, S Yang, S Chang arXiv preprint arXiv:2406.07007, 2024 | | 2024 |
An Implementation of Multi-hop Voice Communication System Using Drones YP Koo, J Bang, KH Son, SH Shin, SM Ahn, Y Yi, JH Yoo, JS Kim The Conference of Korean Institutes of Communications and Information …, 2017 | | 2017 |