Hyungtae Lee

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 49

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Christopher Maxey, Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes. CoRR (2024)
Christopher Maxey, Jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception. ICRA (2024)
Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya
Diversifying Human Pose in Synthetic Data for Aerial-view Human Detection. CoRR (2024)
Hyungtae Lee, Yan Zhang, Yi-Ting Shen, Heesung Kwon, Shuvra S. Bhattacharyya
Exploring the Impact of Synthetic Data for Aerial-view Human Detection. CoRR (2024)
Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery. CoRR (2023)
Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
Novel Categories Discovery from probability matrix perspective. CoRR (2023)
Christopher Maxey, Jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception. CoRR (2023)
Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery. ICIP (2023)
Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya
Progressive Transformation Learning for Leveraging Virtual Images in Training. CVPR (2023)
Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra Shikhar Bhattacharyya
Progressive Transformation Learning For Leveraging Virtual Images in Training. CoRR (2022)
Hyungtae Lee, Heesung Kwon
Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation. ICASSP (2022)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. CoRR (2022)
Hyungtae Lee, Heesung Kwon
DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. CoRR (2022)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
Negative Samples are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification. ECCV (24) (2022)
Yaesop Lee, Hyungtae Lee, Eung-Joo Lee, Heesung Kwon, Shuvra S. Bhattacharyya
Exploiting Simplified Depth Estimation for Stereo-based 2D Object Detection. AIPR (2022)
Hyungtae Lee, Heesung Kwon
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation. CoRR (2022)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification. CoRR (2022)
Hyungtae Lee, Heesung Kwon, Wonkook Kim
Generating Hard Examples for Pixel-Wise Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Hyungtae Lee, Heesung Kwon
DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. IEEE Trans. Pattern Anal. Mach. Intell. 43 (5) (2021)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
ME R-CNN: Multi-Expert R-CNN for Object Detection. IEEE Trans. Image Process. 29 (2020)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. ICASSP (2020)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
Is Pretraining Necessary for hyperspectral image classification? IGARSS (2019)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
Is Pretraining Necessary for Hyperspectral Image Classification? CoRR (2019)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. CoRR (2019)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
DOD-CNN: Doubly-injecting Object Information for Event Recognition. ICASSP (2019)
Hyungtae Lee, Sungmin Eum, Joel Levis, Heesung Kwon, James Michaelis, Michael Kolodny
Exploitation of Semantic Keywords for Malicious Event Classification. ICASSP (2018)
Hyungtae Lee, Heesung Kwon, Wonkook Kim
Discovering and Generating Hard Examples for Training a Red Tide Detector. CoRR (2018)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
DOD-CNN: Doubly-injecting Object Information for Event Recognition. CoRR (2018)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
Cross-domain CNN for Hyperspectral Image Classification. CoRR (2018)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
Cross-Domain CNN for Hyperspectral Image Classification. IGARSS (2018)
Christopher Reale, Hyungtae Lee, Heesung Kwon
Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric. CVPR Workshops (2017)
Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann
IOD-CNN: Integrating object detection networks for event recognition. ICIP (2017)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
ME R-CNN: Multi-Expert Region-based CNN for Object Detection. CoRR (2017)
Yilun Cao, Hyungtae Lee, Heesung Kwon
Enhanced object detection via fusion with prior beliefs from image classification. ICIP (2017)
Christopher Reale, Hyungtae Lee, Heesung Kwon, Rama Chellappa
Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition. FG (2017)
Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann
IOD-CNN: Integrating Object Detection Networks for Event Recognition. CoRR (2017)
Hyungtae Lee, Heesung Kwon
Going Deeper With Contextual CNN for Hyperspectral Image Classification. IEEE Trans. Image Process. 26 (10) (2017)
Archith John Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath
Weakly Supervised Localization Using Deep Feature Maps. ECCV (1) (2016)
Hyungtae Lee, Heesung Kwon, Archith J. Bency, William D. Nothwang
Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search. CoRR (2016)
Joel Levis, Hyungtae Lee, Heesung Kwon, James Michaelis, Michael Kolodny, Sungmin Eum
Joint Deep Exploitation of Semantic Keywords and Visual Features for Malicious Crowd Image Classification. CoRR (2016)
Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang, Amar M. Marathe
Dynamic belief fusion for object detection. WACV (2016)
Yilun Cao, Hyungtae Lee, Heesung Kwon
Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification. CoRR (2016)
Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang
DTM: Deformable Template Matching. CoRR (2016)
Archith J. Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath
Weakly Supervised Localization using Deep Feature Maps. CoRR (2016)
Hyungtae Lee, Heesung Kwon
Contextual Deep CNN Based Hyperspectral Classification. CoRR (2016)
Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang
DTM: Deformable template matching. ICASSP (2016)
Hyungtae Lee, Heesung Kwon
Contextual deep CNN based hyperspectral classification. IGARSS (2016)
Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, Daniel Donavanik, William D. Nothwang, Amar R. Marathe
Task-conversions for integrating human and machine perception in a unified task. IROS (2016)
Sungmin Eum, Hyungtae Lee, David S. Doermann
JH2R: Joint Homography Estimation for Highlight Removal. BMVC (2015)
Hyungtae Lee, Vlad I. Morariu, Larry S. Davis
Clauselets: Leveraging Temporally Related Actions for Video Event Analysis. WACV (2015)
Ryan M. Robinson, Hyungtae Lee, Michael J. McCourt, Amar R. Marathe, Heesung Kwon, Chau Ton, William D. Nothwang
Human-autonomy sensor fusion for rapid object detection. IROS (2015)
Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang, Amar M. Marathe
Dynamic Belief Fusion for Object Detection. CoRR (2015)
Hyungtae Lee, Vlad I. Morariu, Larry S. Davis
Robust Pose Features for Action Recognition. CVPR Workshops (2014)
Hyungtae Lee, Vlad I. Morariu, Larry S. Davis
Qualitative Pose Estimation by Discriminative Deformable Part Models. ACCV (2) (2012)
Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai
AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video. AVSS (2011)
Sangmin Oh, Anthony Hoogs, A. G. Amitha Perera, Naresh P. Cuntoor, Chia-Chih Chen, Jong Taek Lee, Saurajit Mukherjee, J. K. Aggarwal, Hyungtae Lee, Larry S. Davis, Eran Swears, Xiaoyang Wang, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai
A large-scale benchmark dataset for event recognition in surveillance video. CVPR (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hyungtae Lee