Heesung Kwon - RankMe

140 papers A* 6A 6B 14C 10Misc 7Journal 69Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Investigating AI-induced Technostress and Coping Strategies of Professionals. CHI Heesung Kwon, Jeesun Oh, Suyoun Lee, Sunok Lee, Sangsu Lee
2026	A*	`conf`	UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery Using Gaussian Splatting. AAAI Jaehoon Choi, Dongki Jung, Chris Maxey, Sungmin Eum, Yonghan Lee, Dinesh Manocha, Heesung Kwon
2025	J	`jnl`	AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs. CoRR Yi-Ting Shen, Sungmin Eum, Doheon Lee, Rohit Shete, Chiao-Yi Wang, Heesung Kwon, Shuvra S. Bhattacharyya
2025	J	`jnl`	Coarse-to-Fine Hierarchical Alignment for UAV-based Human Detection using Diffusion Models. CoRR Wenda Li, Meng Wu, Sungmin Eum, Heesung Kwon, Qing Qu
2025	J	`jnl`	Generative Spatiotemporal Data Augmentation. CoRR Jinfan Zhou, Lixin Luo, Sungmin Eum, Heesung Kwon, Jeong Joon Park
2025	J	`jnl`	MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency. CoRR Dongki Jung, Jaehoon Choi, Yonghan Lee, Sungmin Eum, Heesung Kwon, Dinesh Manocha
2025	A	`conf`	TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes. IROS Christopher Maxey, Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
2025	J	`jnl`	UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery using Gaussian Splatting. CoRR Jaehoon Choi, Dongki Jung, Christopher Maxey, Yonghan Lee, Sungmin Eum, Dinesh Manocha, Heesung Kwon
2025	J	`jnl`	UAVTwin: Neural Digital Twins for UAVs using Gaussian Splatting. CoRR Jaehoon Choi, Dongki Jung, Yonghan Lee, Sungmin Eum, Dinesh Manocha, Heesung Kwon
2024	J	`jnl`	Diversifying Human Pose in Synthetic Data for Aerial-view Human Detection. CoRR Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya
2024	J	`jnl`	EDIR: Efficient Distributed Image Retrieval of Novel Objects in Mobile Networks. IEEE Trans. Mob. Comput. Noor Felemban, Fidan Mehmeti, Thomas F. La Porta, Heesung Kwon
2024	J	`jnl`	Exploring the Impact of Synthetic Data for Aerial-view Human Detection. CoRR Hyungtae Lee, Yan Zhang, Yi-Ting Shen, Heesung Kwon, Shuvra S. Bhattacharyya
2024	B	`conf`	Exploring the Potential of Synthetic Data to Replace Real Data. ICIP Hyungtae Lee, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharyya
2024	J	`jnl`	Exploring the Potential of Synthetic Data to Replace Real Data. CoRR Hyungtae Lee, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharrya
2024	—	`conf`	MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering. ACCV (9) Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Heesung Kwon, Dinesh Manocha
2024	J	`jnl`	MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering. CoRR Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Heesung Kwon, Dinesh Manocha
2024	J	`jnl`	SynPlay: Importing Real-world Diversity for a Synthetic Human Dataset. CoRR Jinsub Yim, Hyungtae Lee, Sungmin Eum, Yi-Ting Shen, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharyya
2024	J	`jnl`	TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes. CoRR Christopher Maxey, Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
2024	A	`conf`	Two Teachers Are Better Than One: Leveraging Depth In Training Only For Unsupervised Obstacle Segmentation. IROS Sungmin Eum, Hyungtae Lee, Heesung Kwon, Philip R. Osteen, Andre Harrison
2024	A*	`conf`	UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception. ICRA Christopher Maxey, Jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
2023	J	`jnl`	A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth. IEEE Trans. Image Process. 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
2023	J	`jnl`	Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata. IEEE Access 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
2023	B	`conf`	NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery. ICIP Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
2023	J	`jnl`	NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery. CoRR Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
2023	J	`jnl`	Novel Categories Discovery from probability matrix perspective. CoRR Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
2023	A*	`conf`	Progressive Transformation Learning for Leveraging Virtual Images in Training. CVPR Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya
2023	J	`jnl`	UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception. CoRR Christopher Maxey, Jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
2022	J	`jnl`	A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth. CoRR 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
2022	J	`jnl`	Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata. CoRR 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
2022	J	`jnl`	DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. CoRR Hyungtae Lee, Heesung Kwon
2022	—	`conf`	Exploiting Simplified Depth Estimation for Stereo-based 2D Object Detection. AIPR Yaesop Lee, Hyungtae Lee, Eungjoo Lee, Heesung Kwon, Shuvra S. Bhattacharyya
2022	J	`jnl`	Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2022	J	`jnl`	Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Hyungtae Lee, Sungmin Eum, Heesung Kwon
2022	B	`conf`	MA3: Model-Accuracy Aware Anytime Planning with Simulation Verification for Navigating Complex Terrains. SOCS Manash Pratim Das, Damon M. Conover, Sungmin Eum, Heesung Kwon, Maxim Likhachev
2022	—	`conf`	Negative Samples are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification. ECCV (24) Hyungtae Lee, Sungmin Eum, Heesung Kwon
2022	J	`jnl`	Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2022	J	`jnl`	Progressive Transformation Learning For Leveraging Virtual Images in Training. CoRR Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra Shikhar Bhattacharyya
2022	—	`conf`	Real-time Face Tracking Based on a Configurable Ensemble of Detectors. IEEECONF Eungjoo Lee, Alexander Mattingly, Heesung Kwon, Benjamin S. Riggan, Shuvra S. Bhattacharyya
2022	Misc	`conf`	Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation. ICASSP Hyungtae Lee, Heesung Kwon
2022	J	`jnl`	Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation. CoRR Hyungtae Lee, Heesung Kwon
2022	J	`jnl`	Validation of object detection in UAV-based images using synthetic data. CoRR Eungjoo Lee, Damon M. Conover, Shuvra S. Bhattacharyya, Heesung Kwon, Jason Hill, Kenneth Evensen
2021	J	`jnl`	DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. IEEE Trans. Pattern Anal. Mach. Intell. Hyungtae Lee, Heesung Kwon
2021	B	`conf`	EDIR: Efficient Distributed Image Retrieval of Novel Objects in Mobile Networks. MASS Noor Felemban, Fidan Mehmeti, Thomas F. La Porta, Heesung Kwon
2021	J	`jnl`	Generating Hard Examples for Pixel-Wise Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hyungtae Lee, Heesung Kwon, Wonkook Kim
2020	A*	`conf`	CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud. MobiCom Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin M. Marlin, Heesung Kwon
2020	J	`jnl`	ME R-CNN: Multi-Expert R-CNN for Object Detection. IEEE Trans. Image Process. Hyungtae Lee, Sungmin Eum, Heesung Kwon
2020	Misc	`conf`	S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. ICASSP Hyungtae Lee, Sungmin Eum, Heesung Kwon
2020	B	`conf`	Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing. ICPR Sungmin Eum, Heesung Kwon
2020	—	`conf`	Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. CVPR Workshops Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin
2019	A	`conf`	A RUGD Dataset for Autonomous Navigation and Visual Perception in Unstructured Outdoor Environments. IROS Maggie B. Wigness, Sungmin Eum, John G. Rogers, David K. Han, Heesung Kwon
2019	B	`conf`	Cooperative Learning for Multi-perspective Image Classification. SMARTCOMP Nicholas Nordlund, Heesung Kwon, Leandros Tassiulas
2019	Misc	`conf`	DOD-CNN: Doubly-injecting Object Information for Event Recognition. ICASSP Hyungtae Lee, Sungmin Eum, Heesung Kwon
2019	A*	`conf`	Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. ICCV Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang
2019	J	`jnl`	Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. CoRR Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang
2019	J	`jnl`	Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification. CoRR Colin Samplawski, Heesung Kwon, Erik G. Learned-Miller, Benjamin M. Marlin
2019	J	`jnl`	Is Pretraining Necessary for Hyperspectral Image Classification? CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2019	C	`conf`	Is Pretraining Necessary for hyperspectral image classification? IGARSS Hyungtae Lee, Sungmin Eum, Heesung Kwon
2019	Misc	`conf`	Object and Text-guided Semantics for CNN-based Activity Recognition. ICASSP Sungmin Eum, Christopher Reale, Heesung Kwon, Claire Bonial, Clare R. Voss
2019	B	`conf`	Online Distributed Analytics at the Edge with Multiple Service Grades. SMARTCOMP Victor Valls, Geeth de Mel, Heesung Kwon, Leandros Tassiulas
2019	J	`jnl`	S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2019	—	`conf`	SENSE: Semantically Enhanced Node Sequence Embedding. IEEE BigData Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham A. Bent, Christopher Simpkin
2019	J	`jnl`	SENSE: Semantically Enhanced Node Sequence Embedding. CoRR Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham A. Bent, Christopher Simpkin
2019	J	`jnl`	Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing. CoRR Sungmin Eum, Heesung Kwon
2018	—	`conf`	Can You Spot the Semantic Predicate in this Video? EventStory@Coling Christopher Reale, Claire Bonial, Heesung Kwon, Clare R. Voss
2018	C	`conf`	Cross-Domain CNN for Hyperspectral Image Classification. IGARSS Hyungtae Lee, Sungmin Eum, Heesung Kwon
2018	J	`jnl`	Cross-domain CNN for Hyperspectral Image Classification. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2018	J	`jnl`	DOD-CNN: Doubly-injecting Object Information for Event Recognition. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2018	J	`jnl`	Discovering and Generating Hard Examples for Training a Red Tide Detector. CoRR Hyungtae Lee, Heesung Kwon, Wonkook Kim
2018	—	`conf`	Executing Analytics and Fusion Workloads on Transient Computing Resources in Tactical Environments. MILCOM Ahmed Ali-Eldin, Deepak Ganesan, Heesung Kwon, Benjamin M. Marlin, Prashant J. Shenoy, Mani B. Srivastava, Don Towsley
2018	Misc	`conf`	Exploitation of Semantic Keywords for Malicious Event Classification. ICASSP Hyungtae Lee, Sungmin Eum, Joel Levis, Heesung Kwon, James Michaelis, Michael Kolodny
2018	—	`conf`	Image Classification on the Edge for Fast Multi-Camera Object Tracking. MILCOM Nick Nordlund, Heesung Kwon, Geeth Ranmal De Mel, Leandros Tassiulas
2018	J	`jnl`	Object and Text-guided Semantics for CNN-based Activity Recognition. CoRR Sungmin Eum, Christopher Reale, Heesung Kwon, Claire Bonial, Clare R. Voss
2018	—	`conf`	On the Design of Resource Allocation Algorithms for Low-Latency Video Analytics. MILCOM Victor Valls, Heesung Kwon, Tom LaPorta, Sebastian Stein, Leandros Tassiulas
2018	—	`conf`	Unsupervised Estimation of Domain Applicability of Models. MILCOM Nirmit Desai, Raghu K. Ganti, Heesung Kwon, Ian J. Taylor, Mudhakar Srivatsa
2017	—	`conf`	Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric. CVPR Workshops Christopher Reale, Hyungtae Lee, Heesung Kwon
2017	B	`conf`	Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition. FG Christopher Reale, Hyungtae Lee, Heesung Kwon, Rama Chellappa
2017	B	`conf`	Enhanced object detection via fusion with prior beliefs from image classification. ICIP Yilun Cao, Hyungtae Lee, Heesung Kwon
2017	J	`jnl`	Going Deeper With Contextual CNN for Hyperspectral Image Classification. IEEE Trans. Image Process. Hyungtae Lee, Heesung Kwon
2017	J	`jnl`	IOD-CNN: Integrating Object Detection Networks for Event Recognition. CoRR Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann
2017	B	`conf`	IOD-CNN: Integrating object detection networks for event recognition. ICIP Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann
2017	J	`jnl`	ME R-CNN: Multi-Expert Region-based CNN for Object Detection. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2016	J	`jnl`	Coalition Game Theory-Based Feature Subspace Selection for Hyperspectral Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Prudhvi Gurram, Heesung Kwon, Charles Davidson
2016	J	`jnl`	Contextual Deep CNN Based Hyperspectral Classification. CoRR Hyungtae Lee, Heesung Kwon
2016	C	`conf`	Contextual deep CNN based hyperspectral classification. IGARSS Hyungtae Lee, Heesung Kwon
2016	J	`jnl`	DTM: Deformable Template Matching. CoRR Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang
2016	Misc	`conf`	DTM: Deformable template matching. ICASSP Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang
2016	A	`conf`	Dynamic belief fusion for object detection. WACV Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang, Amar M. Marathe
2016	J	`jnl`	Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification. CoRR Yilun Cao, Hyungtae Lee, Heesung Kwon
2016	—	`conf`	Estimation of visible spectrum faces from polarimetric thermal faces. BTAS Benjamin S. Riggan, Nathaniel J. Short, Shuowen Hu, Heesung Kwon
2016	J	`jnl`	Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search. CoRR Hyungtae Lee, Heesung Kwon, Archith J. Bency, William D. Nothwang
2016	J	`jnl`	Joint Deep Exploitation of Semantic Keywords and Visual Features for Malicious Crowd Image Classification. CoRR Joel Levis, Hyungtae Lee, Heesung Kwon, James Michaelis, Michael Kolodny, Sungmin Eum
2016	—	`conf`	Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition. CVPR Workshops Christopher Reale, Nasser M. Nasrabadi, Heesung Kwon, Rama Chellappa
2016	A	`conf`	Task-conversions for integrating human and machine perception in a unified task. IROS Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, Daniel Donavanik, William D. Nothwang, Amar R. Marathe
2016	—	`conf`	Weakly Supervised Localization Using Deep Feature Maps. ECCV (1) Archith John Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath
2016	J	`jnl`	Weakly Supervised Localization using Deep Feature Maps. CoRR Archith J. Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath
2015	J	`jnl`	Dynamic Belief Fusion for Object Detection. CoRR Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang, Amar M. Marathe
2015	A	`conf`	Human-autonomy sensor fusion for rapid object detection. IROS Ryan M. Robinson, Hyungtae Lee, Michael J. McCourt, Amar R. Marathe, Heesung Kwon, Chau Ton, William D. Nothwang
2015	J	`jnl`	Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection. CoRR Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
2015	—	`conf`	Quality of information-aware real-time traffic flow analysis and reporting. PerCom Workshops Manisha Mukherjee, James Edwards, Heesung Kwon, Thomas F. La Porta
2015	C	`conf`	Shapely value based random subspace selection for hyperspectral image classification. IGARSS Prudhvi Gurram, Heesung Kwon, Charles Davidson
2015	J	`jnl`	Sparse kernel learning-based feature selection for anomaly detection. IEEE Trans. Aerosp. Electron. Syst. Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
2014	C	`conf`	Coalition game theory based feature subset selection for hyperspectral image classification. IGARSS Prudhvi Gurram, Heesung Kwon
2014	J	`jnl`	Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Prudhvi Gurram, Heesung Kwon
2013	J	`jnl`	Algorithms for Multispectral and Hyperspectral Image Analysis. J. Electr. Comput. Eng. Heesung Kwon, Xiaofei Hu, James Theiler, Alina Zare, Prudhvi Gurram
2013	J	`jnl`	Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification. IEEE Geosci. Remote. Sens. Lett. Prudhvi Gurram, Heesung Kwon
2013	—	`conf`	Optimal sparse kernel learning for hyperspectral anomaly detection. WHISPERS Prudhvi Gurram, Heesung Kwon, Zhimin Peng, Wotao Yin
2013	J	`jnl`	Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems. IEEE Trans. Geosci. Remote. Sens. Prudhvi Gurram, Heesung Kwon
2012	C	`conf`	Contextual SVM for hyperspectral classification using Hilbert Space Embedding. IGARSS Prudhvi Gurram, Heesung Kwon
2012	—	`conf`	Optimal sparse kernel learning in the Empirical Kernel Feature Space for hyperspectral classification. WHISPERS Prudhvi Gurram, Heesung Kwon
2012	J	`jnl`	Sparse Kernel-Based Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. Prudhvi Gurram, Heesung Kwon, Timothy Han
2011	C	`conf`	Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems. IGARSS Prudhvi Gurram, Heesung Kwon
2011	—	`conf`	Hyperspectral anomaly detection using an optimized support vector data description method. WHISPERS Prudhvi Gurram, Heesung Kwon
2011	—	`conf`	Robust classification using support vector machine in low-dimensional manifold space for automatic target recognition. AIPR Shuowen Hu, Heesung Kwon, Raghuveer Rao
2011	J	`jnl`	Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters. IEEE Geosci. Remote. Sens. Lett. Prudhvi Gurram, Heesung Kwon
2010	C	`conf`	A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection. IGARSS Prudhvi Gurram, Heesung Kwon
2010	C	`conf`	Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection. IGARSS Heesung Kwon, Prudhvi Gurram
2007	J	`jnl`	A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery. EURASIP J. Adv. Signal Process. Heesung Kwon, Nasser M. Nasrabadi
2007	J	`jnl`	Kernel Eigenspace Separation Transform for Subspace Anomaly Detection in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. Hirsh R. Goldberg, Heesung Kwon, Nasser M. Nasrabadi
2007	J	`jnl`	Kernel Spectral Matched Filter for Hyperspectral Imagery. Int. J. Comput. Vis. Heesung Kwon, Nasser M. Nasrabadi
2006	J	`jnl`	Kernel Matched Subspace Detectors for Hyperspectral Target Detection. IEEE Trans. Pattern Anal. Mach. Intell. Heesung Kwon, Nasser M. Nasrabadi
2006	J	`jnl`	Kernel adaptive subspace detector for hyperspectral imagery. IEEE Geosci. Remote. Sens. Lett. Heesung Kwon, Nasser M. Nasrabadi
2005	—	`conf`	Hyperspectral target detection using kernel orthogonal subspace projection. ICIP (2) Heesung Kwon, Nasser M. Nasrabadi
2005	—	`conf`	Kernel Matched Signal Detectors for Hyperspectral Target Detection. CVPR Workshops Heesung Kwon, Nasser M. Nasrabadi
2005	J	`jnl`	Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery. IEEE Trans. Geosci. Remote. Sens. Heesung Kwon, Nasser M. Nasrabadi
2005	—	`conf`	Kernel adaptive subspace detector for hyperspectral target detection. ICASSP (4) Heesung Kwon, Nasser M. Nasrabadi
2005	J	`jnl`	Kernel orthogonal subspace projection for hyperspectral signal classification. IEEE Trans. Geosci. Remote. Sens. Heesung Kwon, Nasser M. Nasrabadi
2005	—	`conf`	Kernel spectral matched filter for hyperspectral target detection. ICASSP (4) Nasser M. Nasrabadi, Heesung Kwon
2004	—	`conf`	Hyperspectral Target Detection Using Kernel Spectral Matched Filter. CVPR Workshops Heesung Kwon, Nasser M. Nasrabadi
2004	B	`conf`	Hyperspectral anomaly detection using kernel rx-algorithm. ICIP Heesung Kwon, Nasser M. Nasrabadi
2004	B	`conf`	Hyperspectral target detection using kernel matched subspace detector. ICIP Heesung Kwon, Nasser M. Nasrabadi
2004	B	`conf`	Kernel-based subpixel target detection in hyperspectral images. IJCNN Heesung Kwon, Nasser M. Nasrabadi
2003	—	`conf`	Projection-based adaptive anomaly detection for hyperspectral imagery. ICIP (1) Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi
2001	—	`conf`	An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery. ICIP (1) Heesung Kwon, Nasser M. Nasrabadi
2001	C	`conf`	Unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery. VCIP Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi
2000	B	`conf`	An Adaptive Hierarchical Segmentation Algorithm Based on Quadtree Decomposition for Hyperspectral Imagery. ICIP Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi
2000	J	`jnl`	Object-based SAR image compression using vector quantization. IEEE Trans. Aerosp. Electron. Syst. Mahesh Venkatraman, Heesung Kwon, Nasser M. Nasrabadi
1998	J	`jnl`	Multiscale video compression using adaptive finite-state vector quantization. J. Electronic Imaging Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi
1998	—	`conf`	Very-Low-Bit-Rate Video Coding using Quadtree Decomposition and Cache-based Vector Quantization. ICIP (3) Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi
1997	J	`jnl`	Very Low Bit-Rate Video Coding Using Variable Block-Size Entropy-Constrained Residual Vector Quantizers. IEEE J. Sel. Areas Commun. Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi
1996	Misc	`conf`	Segmentation based wavelet coding of digital images. ICASSP Euee S. Jang, Heesung Kwon, Lin-Cheng Wang, Syed A. Rizvi, Nasser M. Nasrabadi