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2020 – today
- 2024
[j26]Noor Felemban
, Fidan Mehmeti, Thomas F. La Porta, Heesung Kwon:
EDIR: Efficient Distributed Image Retrieval of Novel Objects in Mobile Networks. IEEE Trans. Mob. Comput. 23(3): 2337-2350 (2024)- [c66]Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Heesung Kwon, Dinesh Manocha:
MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering. ACCV (9) 2024: 262-279 - [c65]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 - [c64]Sungmin Eum, Hyungtae Lee, Heesung Kwon, Philip R. Osteen, Andre Harrison:
Two Teachers Are Better Than One: Leveraging Depth In Training Only For Unsupervised Obstacle Segmentation. IROS 2024: 10716-10723 - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]Hyungtae Lee, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharrya:
Exploring the Potential of Synthetic Data to Replace Real Data. CoRR abs/2408.14559 (2024) - [i32]Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Heesung Kwon, Dinesh Manocha:
MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering. CoRR abs/2410.08941 (2024) - 2023
- [j25]Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, Frank Skirlo:
Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata. IEEE Access 11: 80958-80972 (2023) - [j24]Priya Narayanan, Xin Hu, Zhenyu Wu, Matthew D. Thielke, John G. Rogers, Andre V. Harrison, John A. D'Agostino, James D. Brown, Long P. Quang, James R. Uplinger, Heesung Kwon, Zhangyang Wang:
A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth. IEEE Trans. Image Process. 32: 3481-3492 (2023) - [c63]Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya:
Progressive Transformation Learning for Leveraging Virtual Images in Training. CVPR 2023: 835-844 - [c62]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 - [i31]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) - [i30]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) - [i29]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
- [j23]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c61]Eung-Joo Lee, Alexander Mattingly, Heesung Kwon, Benjamin S. Riggan, Shuvra S. Bhattacharyya:
Real-time Face Tracking Based on a Configurable Ensemble of Detectors. IEEECONF 2022: 339-343 - [c60]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 - [c59]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Negative Samples are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification. ECCV (24) 2022: 604-620 - [c58]Hyungtae Lee, Heesung Kwon:
Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation. ICASSP 2022: 3239-3243 - [c57]Manash Pratim Das, Damon M. Conover, Sungmin Eum, Heesung Kwon, Maxim Likhachev:
MA3: Model-Accuracy Aware Anytime Planning with Simulation Verification for Navigating Complex Terrains. SOCS 2022: 65-73 - [i28]Eung-Joo Lee, Damon M. Conover, Shuvra S. Bhattacharyya, Heesung Kwon, Jason Hill, Kenneth Evensen:
Validation of object detection in UAV-based images using synthetic data. CoRR abs/2201.06629 (2022) - [i27]Hyungtae Lee, Heesung Kwon:
Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation. CoRR abs/2202.03968 (2022) - [i26]Hyungtae Lee, Heesung Kwon:
DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. CoRR abs/2204.02890 (2022) - [i25]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. CoRR abs/2204.03144 (2022) - [i24]Priya Narayanan, Xin Hu, Zhenyu Wu, Matthew D. Thielke, John G. Rogers, Andre V. Harrison, John A. D'Agostino, James D. Brown, Long P. Quang, James R. Uplinger, Heesung Kwon, Zhangyang Wang:
A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth. CoRR abs/2206.06427 (2022) - [i23]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification. CoRR abs/2207.09884 (2022) - [i22]Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, Frank Skirlo:
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata. CoRR abs/2209.00128 (2022) - [i21]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
- [j22]Hyungtae Lee, Heesung Kwon:
DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1499-1514 (2021) - [j21]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) - [c56]Noor Felemban, Fidan Mehmeti, Thomas F. La Porta, Heesung Kwon:
EDIR: Efficient Distributed Image Retrieval of Novel Objects in Mobile Networks. MASS 2021: 392-400 - 2020
- [j20]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
ME R-CNN: Multi-Expert R-CNN for Object Detection. IEEE Trans. Image Process. 29: 1030-1044 (2020) - [c55]Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin:
Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. CVPR Workshops 2020: 4015-4019 - [c54]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. ICASSP 2020: 2128-2132 - [c53]Sungmin Eum, Heesung Kwon:
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing. ICPR 2020: 1384-1391 - [c52]Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin M. Marlin, Heesung Kwon:
CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud. MobiCom 2020: 58:1-58:12
2010 – 2019
- 2019
- [c51]Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham A. Bent, Christopher Simpkin:
SENSE: Semantically Enhanced Node Sequence Embedding. IEEE BigData 2019: 665-670 - [c50]Sungmin Eum, Christopher Reale, Heesung Kwon, Claire Bonial, Clare R. Voss:
Object and Text-guided Semantics for CNN-based Activity Recognition. ICASSP 2019: 1458-1462 - [c49]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
DOD-CNN: Doubly-injecting Object Information for Event Recognition. ICASSP 2019: 1952-1956 - [c48]Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang:
Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. ICCV 2019: 1201-1210 - [c47]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Is Pretraining Necessary for hyperspectral image classification? IGARSS 2019: 3321-3324 - [c46]Maggie B. Wigness, Sungmin Eum, John G. Rogers, David Han, Heesung Kwon:
A RUGD Dataset for Autonomous Navigation and Visual Perception in Unstructured Outdoor Environments. IROS 2019: 5000-5007 - [c45]Victor Valls, Geeth de Mel, Heesung Kwon, Leandros Tassiulas:
Online Distributed Analytics at the Edge with Multiple Service Grades. SMARTCOMP 2019: 51-56 - [c44]Nicholas Nordlund, Heesung Kwon, Leandros Tassiulas:
Cooperative Learning for Multi-perspective Image Classification. SMARTCOMP 2019: 75-80 - [i20]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Is Pretraining Necessary for Hyperspectral Image Classification? CoRR abs/1901.08658 (2019) - [i19]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. CoRR abs/1902.04051 (2019) - [i18]Colin Samplawski, Heesung Kwon, Erik G. Learned-Miller, Benjamin M. Marlin:
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification. CoRR abs/1902.05492 (2019) - [i17]Sungmin Eum, Heesung Kwon:
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing. CoRR abs/1906.05894 (2019) - [i16]Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang:
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. CoRR abs/1908.03856 (2019) - [i15]Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham A. Bent, Christopher Simpkin:
SENSE: Semantically Enhanced Node Sequence Embedding. CoRR abs/1911.02970 (2019) - 2018
- [c43]Christopher Reale, Claire Bonial, Heesung Kwon, Clare R. Voss:
Can You Spot the Semantic Predicate in this Video? EventStory@Coling 2018: 55-60 - [c42]Hyungtae Lee, Sungmin Eum, Joel Levis, Heesung Kwon, James Michaelis, Michael Kolodny:
Exploitation of Semantic Keywords for Malicious Event Classification. ICASSP 2018: 2646-2650 - [c41]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Cross-Domain CNN for Hyperspectral Image Classification. IGARSS 2018: 3627-3630 - [c40]Ahmed Ali-Eldin, Deepak Ganesan, Heesung Kwon, Benjamin M. Marlin, Prashant J. Shenoy, Mani B. Srivastava, Don Towsley:
Executing Analytics and Fusion Workloads on Transient Computing Resources in Tactical Environments. MILCOM 2018: 1-9 - [c39]Nick Nordlund, Heesung Kwon, Geeth Ranmal De Mel, Leandros Tassiulas:
Image Classification on the Edge for Fast Multi-Camera Object Tracking. MILCOM 2018: 1-5 - [c38]Victor Valls, Heesung Kwon, Tom LaPorta, Sebastian Stein, Leandros Tassiulas:
On the Design of Resource Allocation Algorithms for Low-Latency Video Analytics. MILCOM 2018: 1-6 - [c37]Nirmit Desai, Raghu K. Ganti, Heesung Kwon, Ian J. Taylor, Mudhakar Srivatsa:
Unsupervised Estimation of Domain Applicability of Models. MILCOM 2018: 34-39 - [i14]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
Cross-domain CNN for Hyperspectral Image Classification. CoRR abs/1802.00093 (2018) - [i13]Sungmin Eum, Christopher Reale, Heesung Kwon, Claire Bonial, Clare R. Voss:
Object and Text-guided Semantics for CNN-based Activity Recognition. CoRR abs/1805.01818 (2018) - [i12]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
DOD-CNN: Doubly-injecting Object Information for Event Recognition. CoRR abs/1811.02910 (2018) - [i11]Hyungtae Lee, Heesung Kwon, Wonkook Kim:
Discovering and Generating Hard Examples for Training a Red Tide Detector. CoRR abs/1812.05447 (2018) - 2017
- [j19]Hyungtae Lee, Heesung Kwon:
Going Deeper With Contextual CNN for Hyperspectral Image Classification. IEEE Trans. Image Process. 26(10): 4843-4855 (2017) - [c36]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 - [c35]Christopher Reale, Hyungtae Lee, Heesung Kwon, Rama Chellappa:
Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition. FG 2017: 897-903 - [c34]Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann:
IOD-CNN: Integrating object detection networks for event recognition. ICIP 2017: 875-879 - [c33]Yilun Cao, Hyungtae Lee, Heesung Kwon:
Enhanced object detection via fusion with prior beliefs from image classification. ICIP 2017: 920-924 - [i10]Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann:
IOD-CNN: Integrating Object Detection Networks for Event Recognition. CoRR abs/1703.07431 (2017) - [i9]Hyungtae Lee, Sungmin Eum, Heesung Kwon:
ME R-CNN: Multi-Expert Region-based CNN for Object Detection. CoRR abs/1704.01069 (2017) - 2016
- [j18]Prudhvi Gurram, Heesung Kwon, Charles Davidson:
Coalition Game Theory-Based Feature Subspace Selection for Hyperspectral Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2354-2364 (2016) - [c32]Benjamin S. Riggan, Nathaniel J. Short, Shuowen Hu, Heesung Kwon:
Estimation of visible spectrum faces from polarimetric thermal faces. BTAS 2016: 1-7 - [c31]Christopher Reale, Nasser M. Nasrabadi, Heesung Kwon, Rama Chellappa:
Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition. CVPR Workshops 2016: 320-328 - [c30]Archith John Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath:
Weakly Supervised Localization Using Deep Feature Maps. ECCV (1) 2016: 714-731 - [c29]Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang:
DTM: Deformable template matching. ICASSP 2016: 1966-1970 - [c28]Hyungtae Lee, Heesung Kwon:
Contextual deep CNN based hyperspectral classification. IGARSS 2016: 3322-3325 - [c27]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 - [c26]Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang, Amar M. Marathe:
Dynamic belief fusion for object detection. WACV 2016: 1-9 - [i8]Archith J. Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath:
Weakly Supervised Localization using Deep Feature Maps. CoRR abs/1603.00489 (2016) - [i7]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) - [i6]Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang:
DTM: Deformable Template Matching. CoRR abs/1604.03518 (2016) - [i5]Hyungtae Lee, Heesung Kwon:
Contextual Deep CNN Based Hyperspectral Classification. CoRR abs/1604.03519 (2016) - [i4]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) - [i3]Yilun Cao, Hyungtae Lee, Heesung Kwon:
Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification. CoRR abs/1610.06907 (2016) - 2015
- [j17]Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin:
Sparse kernel learning-based feature selection for anomaly detection. IEEE Trans. Aerosp. Electron. Syst. 51(3): 1698-1716 (2015) - [c25]Prudhvi Gurram, Heesung Kwon, Charles Davidson:
Shapely value based random subspace selection for hyperspectral image classification. IGARSS 2015: 4975-4978 - [c24]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 - [c23]Manisha Mukherjee, James Edwards, Heesung Kwon, Thomas F. La Porta:
Quality of information-aware real-time traffic flow analysis and reporting. PerCom Workshops 2015: 69-74 - [i2]Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin:
Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection. CoRR abs/1506.02585 (2015) - [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
- [j16]Prudhvi Gurram, Heesung Kwon:
Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1217-1226 (2014) - [c22]Prudhvi Gurram, Heesung Kwon:
Coalition game theory based feature subset selection for hyperspectral image classification. IGARSS 2014: 3446-3449 - 2013
- [j15]Heesung Kwon, Xiaofei Hu, James Theiler, Alina Zare, Prudhvi Gurram:
Algorithms for Multispectral and Hyperspectral Image Analysis. J. Electr. Comput. Eng. 2013: 908906:1-908906:2 (2013) - [j14]Prudhvi Gurram, Heesung Kwon:
Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification. IEEE Geosci. Remote. Sens. Lett. 10(5): 1031-1035 (2013) - [j13]Prudhvi Gurram, Heesung Kwon:
Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems. IEEE Trans. Geosci. Remote. Sens. 51(2): 787-802 (2013) - [c21]Prudhvi Gurram, Heesung Kwon, Zhimin Peng, Wotao Yin:
Optimal sparse kernel learning for hyperspectral anomaly detection. WHISPERS 2013: 1-4 - 2012
- [j12]Prudhvi Gurram, Heesung Kwon, Timothy Han:
Sparse Kernel-Based Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 9(5): 943-947 (2012) - [c20]Prudhvi Gurram, Heesung Kwon:
Contextual SVM for hyperspectral classification using Hilbert Space Embedding. IGARSS 2012: 5470-5473 - [c19]Prudhvi Gurram, Heesung Kwon:
Optimal sparse kernel learning in the Empirical Kernel Feature Space for hyperspectral classification. WHISPERS 2012: 1-4 - 2011
- [j11]Prudhvi Gurram, Heesung Kwon:
Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters. IEEE Geosci. Remote. Sens. Lett. 8(6): 1060-1064 (2011) - [c18]Shuowen Hu, Heesung Kwon, Raghuveer Rao:
Robust classification using support vector machine in low-dimensional manifold space for automatic target recognition. AIPR 2011: 1-4 - [c17]Prudhvi Gurram, Heesung Kwon:
Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems. IGARSS 2011: 4431-4434 - [c16]Prudhvi Gurram, Heesung Kwon:
Hyperspectral anomaly detection using an optimized support vector data description method. WHISPERS 2011: 1-4 - 2010
- [c15]Prudhvi Gurram, Heesung Kwon:
A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection. IGARSS 2010: 2804-2807 - [c14]Heesung Kwon, Prudhvi Gurram:
Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection. IGARSS 2010: 2812-2815
2000 – 2009
- 2007
- [j10]Heesung Kwon, Nasser M. Nasrabadi:
A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery. EURASIP J. Adv. Signal Process. 2007 (2007) - [j9]Heesung Kwon, Nasser M. Nasrabadi:
Kernel Spectral Matched Filter for Hyperspectral Imagery. Int. J. Comput. Vis. 71(2): 127-141 (2007) - [j8]Hirsh R. Goldberg, Heesung Kwon, Nasser M. Nasrabadi:
Kernel Eigenspace Separation Transform for Subspace Anomaly Detection in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 4(4): 581-585 (2007) - 2006
- [j7]Heesung Kwon, Nasser M. Nasrabadi:
Kernel adaptive subspace detector for hyperspectral imagery. IEEE Geosci. Remote. Sens. Lett. 3(2): 271-275 (2006) - [j6]Heesung Kwon, Nasser M. Nasrabadi:
Kernel Matched Subspace Detectors for Hyperspectral Target Detection. IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 178-194 (2006) - 2005
- [j5]Heesung Kwon, Nasser M. Nasrabadi:
Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery. IEEE Trans. Geosci. Remote. Sens. 43(2): 388-397 (2005) - [j4]Heesung Kwon, Nasser M. Nasrabadi:
Kernel orthogonal subspace projection for hyperspectral signal classification. IEEE Trans. Geosci. Remote. Sens. 43(12): 2952-2962 (2005) - [c13]Heesung Kwon, Nasser M. Nasrabadi:
Kernel Matched Signal Detectors for Hyperspectral Target Detection. CVPR Workshops 2005: 6 - [c12]Nasser M. Nasrabadi, Heesung Kwon:
Kernel spectral matched filter for hyperspectral target detection. ICASSP (4) 2005: 665-668 - [c11]Heesung Kwon, Nasser M. Nasrabadi:
Kernel adaptive subspace detector for hyperspectral target detection. ICASSP (4) 2005: 681-684 - [c10]Heesung Kwon, Nasser M. Nasrabadi:
Hyperspectral target detection using kernel orthogonal subspace projection. ICIP (2) 2005: 702-705 - 2004
- [c9]Heesung Kwon, Nasser M. Nasrabadi:
Hyperspectral Target Detection Using Kernel Spectral Matched Filter. CVPR Workshops 2004: 127 - [c8]Heesung Kwon, Nasser M. Nasrabadi:
Hyperspectral target detection using kernel matched subspace detector. ICIP 2004: 3327-3330 - [c7]Heesung Kwon, Nasser M. Nasrabadi:
Hyperspectral anomaly detection using kernel rx-algorithm. ICIP 2004: 3331-3334 - 2003
- [c6]Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi:
Projection-based adaptive anomaly detection for hyperspectral imagery. ICIP (1) 2003: 1001-1004 - 2001
- [c5]Heesung Kwon, Nasser M. Nasrabadi:
An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery. ICIP (1) 2001: 74-77 - [c4]Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi:
Unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery. VCIP 2001: 144-152 - 2000
- [j3]Mahesh Venkatraman, Heesung Kwon, Nasser M. Nasrabadi:
Object-based SAR image compression using vector quantization. IEEE Trans. Aerosp. Electron. Syst. 36(4): 1036-1046 (2000) - [c3]Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi:
An Adaptive Hierarchical Segmentation Algorithm Based on Quadtree Decomposition for Hyperspectral Imagery. ICIP 2000: 776-779
1990 – 1999
- 1998
- [j2]Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi:
Multiscale video compression using adaptive finite-state vector quantization. J. Electronic Imaging 7(4): 725-739 (1998) - [c2]Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi:
Very-Low-Bit-Rate Video Coding using Quadtree Decomposition and Cache-based Vector Quantization. ICIP (3) 1998: 962-966 - 1997
- [j1]Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi:
Very Low Bit-Rate Video Coding Using Variable Block-Size Entropy-Constrained Residual Vector Quantizers. IEEE J. Sel. Areas Commun. 15(9): 1714-1725 (1997) - 1996
- [c1]Euee S. Jang, Heesung Kwon, Lin-Cheng Wang, Syed A. Rizvi, Nasser M. Nasrabadi:
Segmentation based wavelet coding of digital images. ICASSP 1996: 1878-1881
Coauthor Index
Shuvra S. Bhattacharyya
aka: Shuvra Shikhar Bhattacharyya
aka: Shuvra Shikhar Bhattacharyya
[c66] [c65] [c64] [i37] [i36] [i35] [i34] [i33] [i32] [c63] [c62] [i31] [i30] [i29] [j23] [c60] [c59] [c58] [i27] [i26] [i25] [i23] [i21] [j22] [j21] [j20] [c54] [c49] [c47] [i20] [i19] [c42] [c41] [i14] [i12] [i11] [j19] [c36] [c35] [c34] [c33] [i10] [i9] [c30] [c29] [c28] [c27] [c26] [i8] [i7] [i6] [i5] [i4] [i3] [c24] [i1]
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last updated on 2025-01-21 00:20 CET by the dblp team
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