Segmentation based wavelet coding of digital images. - Euee S. Jang; Heesung Kwon; Lin-Cheng Wang; Syed A. Rizvi; Nasser M. Nasrabadi (ICASSP, 1996)

Very Low Bit-Rate Video Coding Using Variable Block-Size Entropy-Constrained Residual Vector Quantizers. - Heesung Kwon; Mahesh Venkatraman; Nasser M. Nasrabadi (IEEE J. Sel. Areas Commun., 1997)

Very-Low-Bit-Rate Video Coding using Quadtree Decomposition and Cache-based Vector Quantization. - Heesung Kwon; Mahesh Venkatraman; Nasser M. Nasrabadi (ICIP (3), 1998)

Multiscale video compression using adaptive finite-state vector quantization. - Heesung Kwon; Mahesh Venkatraman; Nasser M. Nasrabadi (J. Electronic Imaging, 1998)

An Adaptive Hierarchical Segmentation Algorithm Based on Quadtree Decomposition for Hyperspectral Imagery. - Heesung Kwon; Sandor Z. Der; Nasser M. Nasrabadi (ICIP, 2000)

Object-based SAR image compression using vector quantization. - Mahesh Venkatraman; Heesung Kwon; Nasser M. Nasrabadi (IEEE Trans. Aerosp. Electron. Syst., 2000)

An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery. - Heesung Kwon; Nasser M. Nasrabadi (ICIP (1), 2001)

Unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery. - Heesung Kwon; Sandor Z. Der; Nasser M. Nasrabadi (VCIP, 2001)

Projection-based adaptive anomaly detection for hyperspectral imagery. - Heesung Kwon; Sandor Z. Der; Nasser M. Nasrabadi (ICIP (1), 2003)

Hyperspectral Target Detection Using Kernel Spectral Matched Filter. - Heesung Kwon; Nasser M. Nasrabadi (CVPR Workshops, 2004)

Hyperspectral target detection using kernel matched subspace detector. - Heesung Kwon; Nasser M. Nasrabadi (ICIP, 2004)

Hyperspectral anomaly detection using kernel rx-algorithm. - Heesung Kwon; Nasser M. Nasrabadi (ICIP, 2004)

Kernel-based subpixel target detection in hyperspectral images. - Heesung Kwon; Nasser M. Nasrabadi (IJCNN, 2004)

Kernel Matched Signal Detectors for Hyperspectral Target Detection. - Heesung Kwon; Nasser M. Nasrabadi (CVPR Workshops, 2005)

Kernel adaptive subspace detector for hyperspectral target detection. - Heesung Kwon; Nasser M. Nasrabadi (ICASSP (4), 2005)

Kernel spectral matched filter for hyperspectral target detection. - Nasser M. Nasrabadi; Heesung Kwon (ICASSP (4), 2005)

Hyperspectral target detection using kernel orthogonal subspace projection. - Heesung Kwon; Nasser M. Nasrabadi (ICIP (2), 2005)

Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery. - Heesung Kwon; Nasser M. Nasrabadi (IEEE Trans. Geosci. Remote. Sens., 2005)

Kernel orthogonal subspace projection for hyperspectral signal classification. - Heesung Kwon; Nasser M. Nasrabadi (IEEE Trans. Geosci. Remote. Sens., 2005)

Kernel adaptive subspace detector for hyperspectral imagery. - Heesung Kwon; Nasser M. Nasrabadi (IEEE Geosci. Remote. Sens. Lett., 2006)

Kernel Matched Subspace Detectors for Hyperspectral Target Detection. - Heesung Kwon; Nasser M. Nasrabadi (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery. - Heesung Kwon; Nasser M. Nasrabadi (EURASIP J. Adv. Signal Process., 2007)

Kernel Spectral Matched Filter for Hyperspectral Imagery. - Heesung Kwon; Nasser M. Nasrabadi (Int. J. Comput. Vis., 2007)

Kernel Eigenspace Separation Transform for Subspace Anomaly Detection in Hyperspectral Imagery. - Hirsh R. Goldberg; Heesung Kwon; Nasser M. Nasrabadi (IEEE Geosci. Remote. Sens. Lett., 2007)

A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection. - Prudhvi Gurram; Heesung Kwon (IGARSS, 2010)

Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection. - Heesung Kwon; Prudhvi Gurram (IGARSS, 2010)

Robust classification using support vector machine in low-dimensional manifold space for automatic target recognition. - Shuowen Hu; Heesung Kwon; Raghuveer Rao (AIPR, 2011)

Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems. - Prudhvi Gurram; Heesung Kwon (IGARSS, 2011)

Hyperspectral anomaly detection using an optimized support vector data description method. - Prudhvi Gurram; Heesung Kwon (WHISPERS, 2011)

Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters. - Prudhvi Gurram; Heesung Kwon (IEEE Geosci. Remote. Sens. Lett., 2011)

Contextual SVM for hyperspectral classification using Hilbert Space Embedding. - Prudhvi Gurram; Heesung Kwon (IGARSS, 2012)

Sparse Kernel-Based Hyperspectral Anomaly Detection. - Prudhvi Gurram; Heesung Kwon; Timothy Han (IEEE Geosci. Remote. Sens. Lett., 2012)

Optimal sparse kernel learning for hyperspectral anomaly detection. - Prudhvi Gurram; Heesung Kwon; Zhimin Peng; Wotao Yin (WHISPERS, 2013)

Algorithms for Multispectral and Hyperspectral Image Analysis. - Heesung Kwon; Xiaofei Hu; James Theiler; Alina Zare; Prudhvi Gurram (J. Electr. Comput. Eng., 2013)

Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification. - Prudhvi Gurram; Heesung Kwon (IEEE Geosci. Remote. Sens. Lett., 2013)

Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems. - Prudhvi Gurram; Heesung Kwon (IEEE Trans. Geosci. Remote. Sens., 2013)

Coalition game theory based feature subset selection for hyperspectral image classification. - Prudhvi Gurram; Heesung Kwon (IGARSS, 2014)

Optimal Sparse Kernel Learning in the Empirical Kernel Feature Space for Hyperspectral Classification. - Prudhvi Gurram; Heesung Kwon (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Shapely value based random subspace selection for hyperspectral image classification. - Prudhvi Gurram; Heesung Kwon; Charles Davidson (IGARSS, 2015)

Human-autonomy sensor fusion for rapid object detection. - Ryan M. Robinson; Hyungtae Lee; Michael J. McCourt; Amar R. Marathe; Heesung Kwon; Chau Ton; William D. Nothwang (IROS, 2015)

Quality of information-aware real-time traffic flow analysis and reporting. - Manisha Mukherjee; James Edwards 002; Heesung Kwon; Thomas F. La Porta (PerCom Workshops, 2015)

Sparse kernel learning-based feature selection for anomaly detection. - Zhimin Peng; Prudhvi Gurram; Heesung Kwon; Wotao Yin (IEEE Trans. Aerosp. Electron. Syst., 2015)

Estimation of visible spectrum faces from polarimetric thermal faces. - Benjamin S. Riggan; Nathaniel J. Short; Shuowen Hu; Heesung Kwon (BTAS, 2016)

Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition. - Christopher Reale; Nasser M. Nasrabadi; Heesung Kwon; Rama Chellappa (CVPR Workshops, 2016)

Weakly Supervised Localization Using Deep Feature Maps. - Archith John Bency; Heesung Kwon; Hyungtae Lee; S. Karthikeyan 001; B. S. Manjunath (ECCV (1), 2016)

DTM: Deformable template matching. - Hyungtae Lee; Heesung Kwon; Ryan M. Robinson; William D. Nothwang (ICASSP, 2016)

Contextual deep CNN based hyperspectral classification. - Hyungtae Lee; Heesung Kwon (IGARSS, 2016)

Task-conversions for integrating human and machine perception in a unified task. - Hyungtae Lee; Heesung Kwon; Ryan M. Robinson; Daniel Donavanik; William D. Nothwang; Amar R. Marathe (IROS, 2016)

Dynamic belief fusion for object detection. - Hyungtae Lee; Heesung Kwon; Ryan M. Robinson; William D. Nothwang; Amar M. Marathe (WACV, 2016)

Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search. - Hyungtae Lee; Heesung Kwon; Archith J. Bency; William D. Nothwang (CoRR, 2016)

Joint Deep Exploitation of Semantic Keywords and Visual Features for Malicious Crowd Image Classification. - Joel Levis; Hyungtae Lee; Heesung Kwon; James Michaelis; Michael Kolodny; Sungmin Eum (CoRR, 2016)

Coalition Game Theory-Based Feature Subspace Selection for Hyperspectral Classification. - Prudhvi Gurram; Heesung Kwon; Charles Davidson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric. - Christopher Reale; Hyungtae Lee; Heesung Kwon (CVPR Workshops, 2017)

Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition. - Christopher Reale; Hyungtae Lee; Heesung Kwon; Rama Chellappa (FG, 2017)

Enhanced object detection via fusion with prior beliefs from image classification. - Yilun Cao; Hyungtae Lee; Heesung Kwon (ICIP, 2017)

IOD-CNN: Integrating object detection networks for event recognition. - Sungmin Eum; Hyungtae Lee; Heesung Kwon; David S. Doermann (ICIP, 2017)

ME R-CNN: Multi-Expert Region-based CNN for Object Detection. - Hyungtae Lee; Sungmin Eum; Heesung Kwon (CoRR, 2017)

Going Deeper With Contextual CNN for Hyperspectral Image Classification. - Hyungtae Lee; Heesung Kwon (IEEE Trans. Image Process., 2017)

Can You Spot the Semantic Predicate in this Video? - Christopher Reale; Claire Bonial; Heesung Kwon; Clare R. Voss (EventStory@Coling, 2018)

Exploitation of Semantic Keywords for Malicious Event Classification. - Hyungtae Lee; Sungmin Eum; Joel Levis; Heesung Kwon; James Michaelis; Michael Kolodny (ICASSP, 2018)

Cross-Domain CNN for Hyperspectral Image Classification. - Hyungtae Lee; Sungmin Eum; Heesung Kwon (IGARSS, 2018)

Executing Analytics and Fusion Workloads on Transient Computing Resources in Tactical Environments. - Ahmed Ali-Eldin; Deepak Ganesan; Heesung Kwon; Benjamin M. Marlin; Prashant J. Shenoy; Mani B. Srivastava; Don Towsley (MILCOM, 2018)

Unsupervised Estimation of Domain Applicability of Models. - Nirmit Desai; Raghu K. Ganti; Heesung Kwon; Ian J. Taylor; Mudhakar Srivatsa (MILCOM, 2018)

Image Classification on the Edge for Fast Multi-Camera Object Tracking. - Nick Nordlund; Heesung Kwon; Geeth Ranmal De Mel; Leandros Tassiulas (MILCOM, 2018)

On the Design of Resource Allocation Algorithms for Low-Latency Video Analytics. - Victor Valls; Heesung Kwon; Tom LaPorta; Sebastian Stein 001; Leandros Tassiulas (MILCOM, 2018)

Discovering and Generating Hard Examples for Training a Red Tide Detector. - Hyungtae Lee; Heesung Kwon; Wonkook Kim (CoRR, 2018)

SENSE: Semantically Enhanced Node Sequence Embedding. - Swati Rallapalli; Liang Ma 002; Mudhakar Srivatsa; Ananthram Swami; Heesung Kwon; Graham A. Bent; Christopher Simpkin (IEEE BigData, 2019)

Object and Text-guided Semantics for CNN-based Activity Recognition. - Sungmin Eum; Christopher Reale; Heesung Kwon; Claire Bonial; Clare R. Voss (ICASSP, 2019)

DOD-CNN: Doubly-injecting Object Information for Event Recognition. - Hyungtae Lee; Sungmin Eum; Heesung Kwon (ICASSP, 2019)

Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. - Zhenyu Wu 002; Karthik Suresh 001; Priya Narayanan; Hongyu Xu; Heesung Kwon; Zhangyang Wang (ICCV, 2019)

Is Pretraining Necessary for hyperspectral image classification? - Hyungtae Lee; Sungmin Eum; Heesung Kwon (IGARSS, 2019)

A RUGD Dataset for Autonomous Navigation and Visual Perception in Unstructured Outdoor Environments. - Maggie B. Wigness; Sungmin Eum; John G. Rogers; David K. Han; Heesung Kwon (IROS, 2019)

Cooperative Learning for Multi-perspective Image Classification. - Nicholas Nordlund; Heesung Kwon; Leandros Tassiulas (SMARTCOMP, 2019)

Online Distributed Analytics at the Edge with Multiple Service Grades. - Victor Valls; Geeth de Mel; Heesung Kwon; Leandros Tassiulas (SMARTCOMP, 2019)

Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification. - Colin Samplawski; Heesung Kwon; Erik G. Learned-Miller; Benjamin M. Marlin (CoRR, 2019)

Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. - Colin Samplawski; Erik G. Learned-Miller; Heesung Kwon; Benjamin M. Marlin (CVPR Workshops, 2020)

S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. - Hyungtae Lee; Sungmin Eum; Heesung Kwon (ICASSP, 2020)

Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing. - Sungmin Eum; Heesung Kwon (ICPR, 2020)

CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud. - Jin Huang; Colin Samplawski; Deepak Ganesan; Benjamin M. Marlin; Heesung Kwon (MobiCom, 2020)

ME R-CNN: Multi-Expert R-CNN for Object Detection. - Hyungtae Lee; Sungmin Eum; Heesung Kwon (IEEE Trans. Image Process., 2020)

DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. - Hyungtae Lee; Heesung Kwon (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Generating Hard Examples for Pixel-Wise Classification. - Hyungtae Lee; Heesung Kwon; Wonkook Kim (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Real-time Face Tracking Based on a Configurable Ensemble of Detectors. - Eung-Joo Lee; Alexander Mattingly; Heesung Kwon; Benjamin S. Riggan; Shuvra S. Bhattacharyya (IEEECONF, 2022)

Exploiting Simplified Depth Estimation for Stereo-based 2D Object Detection. - Yaesop Lee; Hyungtae Lee; Eung-Joo Lee; Heesung Kwon; Shuvra S. Bhattacharyya (AIPR, 2022)

Negative Samples are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification. - Hyungtae Lee; Sungmin Eum; Heesung Kwon (ECCV (24), 2022)

Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation. - Hyungtae Lee; Heesung Kwon (ICASSP, 2022)

MA3: Model-Accuracy Aware Anytime Planning with Simulation Verification for Navigating Complex Terrains. - Manash Pratim Das; Damon M. Conover; Sungmin Eum; Heesung Kwon; Maxim Likhachev (SOCS, 2022)

Validation of object detection in UAV-based images using synthetic data. - Eung-Joo Lee; Damon M. Conover; Shuvra S. Bhattacharyya; Heesung Kwon; Jason Hill; Kenneth Evensen (CoRR, 2022)

A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth. - Priya Narayanan; Xin Hu; Zhenyu Wu 002; 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 (CoRR, 2022)

Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. - Hyungtae Lee; Sungmin Eum; Heesung Kwon (IEEE Trans. Geosci. Remote. Sens., 2022)

Progressive Transformation Learning for Leveraging Virtual Images in Training. - Yi-Ting Shen; Hyungtae Lee; Heesung Kwon; Shuvra S. Bhattacharyya (CVPR, 2023)

NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery. - Zahid Hasan; Masud Ahmed; Abu Zaher Md Faridee; Sanjay Purushotham; Heesung Kwon; Hyungtae Lee; Nirmalya Roy (ICIP, 2023)

Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata. - 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 (IEEE Access, 2023)

Novel Categories Discovery from probability matrix perspective. - Zahid Hasan; Abu Zaher Md Faridee; Masud Ahmed; Sanjay Purushotham; Heesung Kwon; Hyungtae Lee; Nirmalya Roy (CoRR, 2023)

A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth. - Priya Narayanan; Xin Hu; Zhenyu Wu 002; 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 (IEEE Trans. Image Process., 2023)

MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering. - Jaehoon Choi; Yonghan Lee 001; Hyungtae Lee; Heesung Kwon; Dinesh Manocha (ACCV (9), 2024)

Exploring the Potential of Synthetic Data to Replace Real Data. - Hyungtae Lee; Yan Zhang; Heesung Kwon; Shuvra S. Bhattacharyya (ICIP, 2024)

UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception. - Christopher Maxey; Jaehoon Choi; Hyungtae Lee; Dinesh Manocha; Heesung Kwon (ICRA, 2024)

Two Teachers Are Better Than One: Leveraging Depth In Training Only For Unsupervised Obstacle Segmentation. - Sungmin Eum; Hyungtae Lee; Heesung Kwon; Philip R. Osteen; Andre Harrison (IROS, 2024)

TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes. - Christopher Maxey; Jaehoon Choi; Yonghan Lee 001; Hyungtae Lee; Dinesh Manocha; Heesung Kwon (CoRR, 2024)

Exploring the Impact of Synthetic Data for Aerial-view Human Detection. - Hyungtae Lee; Yan Zhang; Yi-Ting Shen; Heesung Kwon; Shuvra S. Bhattacharyya (CoRR, 2024)

Diversifying Human Pose in Synthetic Data for Aerial-view Human Detection. - Yi-Ting Shen; Hyungtae Lee; Heesung Kwon; Shuvra S. Bhattacharyya (CoRR, 2024)

SynPlay: Importing Real-world Diversity for a Synthetic Human Dataset. - Jinsub Yim; Hyungtae Lee; Sungmin Eum; Yi-Ting Shen; Yan Zhang; Heesung Kwon; Shuvra S. Bhattacharyya (CoRR, 2024)

Exploring the Potential of Synthetic Data to Replace Real Data. - Hyungtae Lee; Yan Zhang; Heesung Kwon; Shuvra S. Bhattacharrya (CoRR, 2024)

EDIR: Efficient Distributed Image Retrieval of Novel Objects in Mobile Networks. - Noor Felemban; Fidan Mehmeti; Thomas F. La Porta; Heesung Kwon (IEEE Trans. Mob. Comput., 2024)

AutoComPose: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal LLMs. - Yi-Ting Shen; Sungmin Eum; Doheon Lee; Rohit Shete; Chiao-Yi Wang; Heesung Kwon; Shuvra S. Bhattacharyya (CoRR, 2025)

UAVTwin: Neural Digital Twins for UAVs using Gaussian Splatting. - Jaehoon Choi; Dongki Jung; Yonghan Lee 001; Sungmin Eum; Dinesh Manocha; Heesung Kwon (CoRR, 2025)

UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery using Gaussian Splatting. - Jaehoon Choi; Dongki Jung; Christopher Maxey; Yonghan Lee 001; Sungmin Eum; Dinesh Manocha; Heesung Kwon (CoRR, 2025)