| CenterMask: Real-time anchor-free instance segmentation Y Lee, J Park Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 384 | 2020 |
| An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection Y Lee, J Hwang, S Lee, Y Bae, J Park Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 172 | 2019 |
| MPViT : Multi-Path Vision Transformer for Dense Prediction Y Lee, J Kim, J Willette, SJ Hwang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 57 | 2022 |
| On-road object detection using deep neural network H Kim, Y Lee, B Yim, E Park, H Kim 2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 1-4, 2016 | 53 | 2016 |
| Wide-residual-inception networks for real-time object detection Y Lee, H Kim, E Park, X Cui, H Kim 2017 IEEE Intelligent Vehicles Symposium (IV), 758-764, 2017 | 40 | 2017 |
| Real-time lane detection and departure warning system on embedded platform Y Lee, H Kim 2016 IEEE 6th International Conference on Consumer Electronics-Berlin (ICCE …, 2016 | 22 | 2016 |
| Integration of vehicle and lane detection for forward collision warning system H Kim, Y Lee, T Woo, H Kim 2016 IEEE 6th International Conference on Consumer Electronics-Berlin (ICCE …, 2016 | 16 | 2016 |
| Localization Uncertainty Estimation for Anchor-Free Object Detection Y Lee, JW Hwang, HI Kim, K Yun, Y Kwon, Y Bae, SJ Hwang 2022 ECCV workhop on Uncertainty Quantification for Computer Vision, 2022 | 15 | 2022 |
| Diverse temporal aggregation and depthwise spatiotemporal factorization for efficient video classification Y Lee, HI Kim, K Yun, J Moon IEEE Access 9, 163054-163064, 2021 | 12 | 2021 |
| Accelerating a computer vision algorithm on a mobile SoC using CPU-GPU co-processing: a case study on face detection Y Lee, C Jang, H Kim Mobile Software Engineering and Systems (MOBILESoft), 2016 IEEE/ACM …, 2016 | 11 | 2016 |
| Domain-specific data augmentation for on-road object detection based on a deep neural network HE Kim, Y Lee, H Kim, X Cui 2017 IEEE Intelligent Vehicles Symposium (IV), 103-108, 2017 | 10 | 2017 |
| Optimization for object detector using deep residual network on embedded board Y Lee, H Kim, E Park, B Yim, H Kim 2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 1-4, 2016 | 9 | 2016 |
| Adversarial training with stochastic weight average J Hwang, Y Lee, S Oh, Y Bae 2021 IEEE International Conference on Image Processing (ICIP), 814-818, 2021 | 4 | 2021 |
| Anti-Litter Surveillance based on Person Understanding via Multi-Task Learning. K Bae, K Yun, HI Kim, Y Lee, J Park BMVC 1 (2), 4, 2020 | 4 | 2020 |
| Rank of experts: detection network ensemble SH Bae, Y Lee, Y Jo, Y Bae, J Hwang arXiv preprint arXiv:1712.00185, 2017 | 4 | 2017 |
| Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders Y Lee, J Willette, J Kim, J Lee, SH Hwang International Conference on Learning Representation (ICLR), 2023 | 1 | 2023 |
| Fire Detection Algorithm for a Quad-rotor using Ego-motion Compensation YW Lee, JH Kim, JJ Oh, H Kim Journal of Institute of Control, Robotics and Systems 21 (1), 21-27, 2015 | 1 | 2015 |
| Efficient Video Representation Learning via Masked Video Modeling with Motion-centric Token Selection S Hwang, J Yoon, Y Lee, SJ Hwang arXiv preprint arXiv:2211.10636, 2022 | | 2022 |
