Going Deeper with Contextual CNN for Hyperspectral Image Classification H Lee, H Kwon IEEE Transactions on Image Processing (TIP), 2017 | 1036 | 2017 |
A Large-Scale Benchmark Dataset for Event Recognition in Surveillance Video S Oh, A Hoogs, A Perera, N Cuntoor, CC Chen, JT Lee, S Mukherjee, ... Computer Vison and Pattern Recognition (CVPR), 2011, 2011 | 982 | 2011 |
Contextual Deep CNN based Hyperspectral Classification H Lee, H Kwon International Geoscience and Remote Sensing Symposium (IGARSS), 2016, 2016 | 138 | 2016 |
ME R-CNN: Multi-Expert R-CNN for Object Detection H Lee, S Eum, H Kwon IEEE Transactions on Image Processing (TIP), 2020 | 106* | 2020 |
Weakly Supervised Localization Using Deep Feature Maps AJ Bency, H Kwon, H Lee, S Karthikeyan, BS Manjunath European Conference on Computer Vision (ECCV), 2016, 2016 | 104 | 2016 |
Single-Trial EEG RSVP Classification Using Convolutional Neural Networks J Shamwell, H Lee, H Kwon, AR Marathe, V Lawhern, WD Nothwang Defense + Commercial Sensing (DCS), 2016, 2016 | 52 | 2016 |
Dynamic Belief Fusion for Object Detection H Lee, H Kwon, RM Robinson, WD Nothwang, AR Marathe Winter Conference on Application of Computer Vision (WACV), 2016, 2016 | 40 | 2016 |
Cross-domain CNN for Hyperspectral Image Classification H Lee, S Eum, H Kwon International Geoscience and Remote Sensing Symposium (IGARSS), 2018, 2018 | 28 | 2018 |
Human-Autonomy Sensor Fusion for Rapid Object Detection RM Robinson, H Lee, MJ McCourt, A Marathe, H Kwon, C Ton, ... Intelligent Robots and Systems (IROS), 2015, 2015 | 24 | 2015 |
DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors H Lee, H Kwon IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 23 | 2021 |
Is Pretraining Necessary for Hyperspectral Image Classification? H Lee, S Eum, H Kwon International Geoscience and Remote Sensing Symposium (IGARSS), 2019, 2019 | 19 | 2019 |
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification H Lee, S Eum, H Kwon IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022 | 18 | 2022 |
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation H Lee, H Kwon International Conference on Acoustics, Speech, and Signal Processing (ICASSP …, 2022 | 18 | 2022 |
Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search H Lee, H Kwon, AJ Bency, WD Nothwang arXiv preprint arXiv:1604.03517, 2016 | 18 | 2016 |
A Real-time Object Detection Framework for Aerial Imagery Using Deep Neural Networks and Synthetic Training Image P Narayanan, C Borel-Donohue, H Lee, H Kwon, R Rao Defense + Commercial Sensing (DCS), 2018, 2018 | 16 | 2018 |
IOD-CNN: Integrating Object Detection Networks for Event Recognition S Eum*, H Lee*, H Kwon, D Doermann International Conference on Image Processing (ICIP), 2017, 2017 | 16 | 2017 |
DTM: Deformable Template Matching H Lee, H Kwon, RM Robinson, WD Nothwang International Conference on Acoustics, Speech, and Signal Processing (ICASSP …, 2016 | 16 | 2016 |
Deep Heterogeneous Face Recognition Networks based on Cross-modal Distillation and an Equitable Distance Metric C Reale, H Lee, H Kwon Computer Vision and Pattern Recognition Workshop (CVPRW), 2017, 2017 | 15 | 2017 |
Scale-Invariant Object Tracking Method Using Strong Corners in the Scale Domain H Lee, PG Heo, JY Suk, BY Yeou, HW Park SPIE Optical Engineering (OE), 2009 | 14 | 2009 |
Qualitative Pose Estimation by Discriminative Deformable Part Models H Lee, VI Morariu, LS Davis Asian Conference on Computer Vision (ACCV), 2012, 2012 | 13 | 2012 |