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Hyungtae Lee
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2020 – today
- 2024
- [c27]Christopher Maxey, Jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon:
UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception. ICRA 2024: 5323-5329 - [i27]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 abs/2405.02762 (2024) - [i26]Hyungtae Lee, Yan Zhang, Yi-Ting Shen, Heesung Kwon, Shuvra S. Bhattacharyya:
Exploring the Impact of Synthetic Data for Aerial-view Human Detection. CoRR abs/2405.15203 (2024) - [i25]Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya:
Diversifying Human Pose in Synthetic Data for Aerial-view Human Detection. CoRR abs/2405.15939 (2024) - [i24]Jinsub Yim, Hyungtae Lee, Sungmin Eum, Yi-Ting Shen, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharyya:
SynPlay: Importing Real-world Diversity for a Synthetic Human Dataset. CoRR abs/2408.11814 (2024) - [i23]Hyungtae Lee, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharrya:
Exploring the Potential of Synthetic Data to Replace Real Data. CoRR abs/2408.14559 (2024) - 2023
- [c26]Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya:
Progressive Transformation Learning for Leveraging Virtual Images in Training. CVPR 2023: 835-844 - [c25]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: 2720-2724 - [i22]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 abs/2304.07354 (2023) - [i21]Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy:
Novel Categories Discovery from probability matrix perspective. CoRR abs/2307.03856 (2023) - [i20]Christopher Maxey, Jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon:
UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception. CoRR abs/2310.16255 (2023) - 2022
- [j5]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c24]Yaesop Lee, Hyungtae Lee, Eung-Joo Lee, Heesung Kwon, Shuvra S. Bhattacharyya:
Exploiting Simplified Depth Estimation for Stereo-based 2D Object Detection. AIPR 2022: 1-6 - [c23]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Negative Samples are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification. ECCV (24) 2022: 604-620 - [c22]Hyungtae Lee, Heesung Kwon:
Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation. ICASSP 2022: 3239-3243 - [i19]Hyungtae Lee, Heesung Kwon:
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation. CoRR abs/2202.03968 (2022) - [i18]Hyungtae Lee, Heesung Kwon:
DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. CoRR abs/2204.02890 (2022) - [i17]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. CoRR abs/2204.03144 (2022) - [i16]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification. CoRR abs/2207.09884 (2022) - [i15]Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra Shikhar Bhattacharyya:
Progressive Transformation Learning For Leveraging Virtual Images in Training. CoRR abs/2211.01778 (2022) - 2021
- [j4]Hyungtae Lee, Heesung Kwon:
DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1499-1514 (2021) - [j3]Hyungtae Lee, Heesung Kwon, Wonkook Kim:
Generating Hard Examples for Pixel-Wise Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 9504-9517 (2021) - 2020
- [j2]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
ME R-CNN: Multi-Expert R-CNN for Object Detection. IEEE Trans. Image Process. 29: 1030-1044 (2020) - [c21]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. ICASSP 2020: 2128-2132
2010 – 2019
- 2019
- [c20]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
DOD-CNN: Doubly-injecting Object Information for Event Recognition. ICASSP 2019: 1952-1956 - [c19]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Is Pretraining Necessary for hyperspectral image classification? IGARSS 2019: 3321-3324 - [i14]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Is Pretraining Necessary for Hyperspectral Image Classification? CoRR abs/1901.08658 (2019) - [i13]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. CoRR abs/1902.04051 (2019) - 2018
- [c18]Hyungtae Lee, Sungmin Eum, Joel Levis, Heesung Kwon, James Michaelis, Michael Kolodny:
Exploitation of Semantic Keywords for Malicious Event Classification. ICASSP 2018: 2646-2650 - [c17]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Cross-Domain CNN for Hyperspectral Image Classification. IGARSS 2018: 3627-3630 - [i12]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Cross-domain CNN for Hyperspectral Image Classification. CoRR abs/1802.00093 (2018) - [i11]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
DOD-CNN: Doubly-injecting Object Information for Event Recognition. CoRR abs/1811.02910 (2018) - [i10]Hyungtae Lee, Heesung Kwon, Wonkook Kim:
Discovering and Generating Hard Examples for Training a Red Tide Detector. CoRR abs/1812.05447 (2018) - 2017
- [j1]Hyungtae Lee, Heesung Kwon:
Going Deeper With Contextual CNN for Hyperspectral Image Classification. IEEE Trans. Image Process. 26(10): 4843-4855 (2017) - [c16]Christopher Reale, Hyungtae Lee, Heesung Kwon:
Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric. CVPR Workshops 2017: 226-232 - [c15]Christopher Reale, Hyungtae Lee, Heesung Kwon, Rama Chellappa:
Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition. FG 2017: 897-903 - [c14]Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann:
IOD-CNN: Integrating object detection networks for event recognition. ICIP 2017: 875-879 - [c13]Yilun Cao, Hyungtae Lee, Heesung Kwon:
Enhanced object detection via fusion with prior beliefs from image classification. ICIP 2017: 920-924 - [i9]Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann:
IOD-CNN: Integrating Object Detection Networks for Event Recognition. CoRR abs/1703.07431 (2017) - [i8]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
ME R-CNN: Multi-Expert Region-based CNN for Object Detection. CoRR abs/1704.01069 (2017) - 2016
- [c12]Archith John Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath:
Weakly Supervised Localization Using Deep Feature Maps. ECCV (1) 2016: 714-731 - [c11]Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang:
DTM: Deformable template matching. ICASSP 2016: 1966-1970 - [c10]Hyungtae Lee, Heesung Kwon:
Contextual deep CNN based hyperspectral classification. IGARSS 2016: 3322-3325 - [c9]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: 2751-2758 - [c8]Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang, Amar M. Marathe:
Dynamic belief fusion for object detection. WACV 2016: 1-9 - [i7]Archith J. Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath:
Weakly Supervised Localization using Deep Feature Maps. CoRR abs/1603.00489 (2016) - [i6]Hyungtae Lee, Heesung Kwon, Archith J. Bency, William D. Nothwang:
Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search. CoRR abs/1604.03517 (2016) - [i5]Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang:
DTM: Deformable Template Matching. CoRR abs/1604.03518 (2016) - [i4]Hyungtae Lee, Heesung Kwon:
Contextual Deep CNN Based Hyperspectral Classification. CoRR abs/1604.03519 (2016) - [i3]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 abs/1610.06903 (2016) - [i2]Yilun Cao, Hyungtae Lee, Heesung Kwon:
Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification. CoRR abs/1610.06907 (2016) - 2015
- [c7]Sungmin Eum, Hyungtae Lee, David S. Doermann:
JH2R: Joint Homography Estimation for Highlight Removal. BMVC 2015: 49.1-49.12 - [c6]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: 305-312 - [c5]Hyungtae Lee, Vlad I. Morariu, Larry S. Davis:
Clauselets: Leveraging Temporally Related Actions for Video Event Analysis. WACV 2015: 1161-1168 - [i1]Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang, Amar M. Marathe:
Dynamic Belief Fusion for Object Detection. CoRR abs/1511.03183 (2015) - 2014
- [b1]Hyungtae Lee:
Analyzing Complex Events and Human Actions in "in-the-wild" Videos. University of Maryland, College Park, MD, USA, 2014 - [c4]Hyungtae Lee, Vlad I. Morariu, Larry S. Davis:
Robust Pose Features for Action Recognition. CVPR Workshops 2014: 365-372 - 2012
- [c3]Hyungtae Lee, Vlad I. Morariu, Larry S. Davis:
Qualitative Pose Estimation by Discriminative Deformable Part Models. ACCV (2) 2012: 734-747 - 2011
- [c2]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: 527-528 - [c1]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: 3153-3160
Coauthor Index
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last updated on 2024-09-30 00:06 CEST by the dblp team
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