Heesung Kwon

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 82

Top Venues

CoRR

ICASSP

IGARSS

MILCOM

Publications

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) (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)
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 (2023)
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 (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)
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)
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)
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 (2022)
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 (2022)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
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 (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)
Noor Felemban, Fidan Mehmeti, Thomas F. La Porta, Heesung Kwon
EDIR: Efficient Distributed Image Retrieval of Novel Objects in Mobile Networks. MASS (2021)
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)
Sungmin Eum, Heesung Kwon
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing. ICPR (2020)
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)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
ME R-CNN: Multi-Expert R-CNN for Object Detection. IEEE Trans. Image Process. 29 (2020)
Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin
Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. CVPR Workshops (2020)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. ICASSP (2020)
Victor Valls, Geeth de Mel, Heesung Kwon, Leandros Tassiulas
Online Distributed Analytics at the Edge with Multiple Service Grades. SMARTCOMP (2019)
Sungmin Eum, Christopher Reale, Heesung Kwon, Claire Bonial, Clare R. Voss
Object and Text-guided Semantics for CNN-based Activity Recognition. ICASSP (2019)
Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham A. Bent, Christopher Simpkin
SENSE: Semantically Enhanced Node Sequence Embedding. CoRR (2019)
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 (2019)
Sungmin Eum, Heesung Kwon
Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing. CoRR (2019)
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)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
Is Pretraining Necessary for hyperspectral image classification? IGARSS (2019)
Swati Rallapalli, Liang Ma, Mudhakar Srivatsa, Ananthram Swami, Heesung Kwon, Graham A. Bent, Christopher Simpkin
SENSE: Semantically Enhanced Node Sequence Embedding. IEEE BigData (2019)
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 (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)
Nicholas Nordlund, Heesung Kwon, Leandros Tassiulas
Cooperative Learning for Multi-perspective Image Classification. SMARTCOMP (2019)
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)
Hyungtae Lee, Sungmin Eum, Heesung Kwon
DOD-CNN: Doubly-injecting Object Information for Event Recognition. ICASSP (2019)
Christopher Reale, Claire Bonial, Heesung Kwon, Clare R. Voss
Can You Spot the Semantic Predicate in this Video? EventStory@Coling (2018)
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)
Victor Valls, Heesung Kwon, Tom LaPorta, Sebastian Stein, Leandros Tassiulas
On the Design of Resource Allocation Algorithms for Low-Latency Video Analytics. MILCOM (2018)
Nirmit Desai, Raghu K. Ganti, Heesung Kwon, Ian J. Taylor, Mudhakar Srivatsa
Unsupervised Estimation of Domain Applicability of Models. MILCOM (2018)
Sungmin Eum, Christopher Reale, Heesung Kwon, Claire Bonial, Clare R. Voss
Object and Text-guided Semantics for CNN-based Activity Recognition. CoRR (2018)
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)
Nick Nordlund, Heesung Kwon, Geeth Ranmal De Mel, Leandros Tassiulas
Image Classification on the Edge for Fast Multi-Camera Object Tracking. MILCOM (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)
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) (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)
Benjamin S. Riggan, Nathaniel J. Short, Shuowen Hu, Heesung Kwon
Estimation of visible spectrum faces from polarimetric thermal faces. BTAS (2016)
Hyungtae Lee, Heesung Kwon
Contextual Deep CNN Based Hyperspectral Classification. CoRR (2016)
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)
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)
Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection. CoRR (2015)
Prudhvi Gurram, Heesung Kwon, Charles Davidson
Shapely value based random subspace selection for hyperspectral image classification. IGARSS (2015)
Manisha Mukherjee, James Edwards, Heesung Kwon, Thomas F. La Porta
Quality of information-aware real-time traffic flow analysis and reporting. PerCom Workshops (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)
Zhimin Peng, Prudhvi Gurram, Heesung Kwon, Wotao Yin
Sparse kernel learning-based feature selection for anomaly detection. IEEE Trans. Aerosp. Electron. Syst. 51 (3) (2015)
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) (2014)
Prudhvi Gurram, Heesung Kwon
Coalition game theory based feature subset selection for hyperspectral image classification. IGARSS (2014)
Prudhvi Gurram, Heesung Kwon
Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification. IEEE Geosci. Remote. Sens. Lett. 10 (5) (2013)
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) (2013)
Heesung Kwon, Xiaofei Hu, James Theiler, Alina Zare, Prudhvi Gurram
Algorithms for Multispectral and Hyperspectral Image Analysis. J. Electr. Comput. Eng. 2013 (2013)
Prudhvi Gurram, Heesung Kwon, Zhimin Peng, Wotao Yin
Optimal sparse kernel learning for hyperspectral anomaly detection. WHISPERS (2013)
Prudhvi Gurram, Heesung Kwon
Contextual SVM for hyperspectral classification using Hilbert Space Embedding. IGARSS (2012)
Prudhvi Gurram, Heesung Kwon, Timothy Han
Sparse Kernel-Based Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 9 (5) (2012)
Prudhvi Gurram, Heesung Kwon
Optimal sparse kernel learning in the Empirical Kernel Feature Space for hyperspectral classification. WHISPERS (2012)
Prudhvi Gurram, Heesung Kwon
Hyperspectral anomaly detection using an optimized support vector data description method. WHISPERS (2011)
Shuowen Hu, Heesung Kwon, Raghuveer Rao
Robust classification using support vector machine in low-dimensional manifold space for automatic target recognition. AIPR (2011)
Prudhvi Gurram, Heesung Kwon
Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems. IGARSS (2011)
Prudhvi Gurram, Heesung Kwon
Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters. IEEE Geosci. Remote. Sens. Lett. 8 (6) (2011)
Heesung Kwon, Prudhvi Gurram
Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection. IGARSS (2010)
Prudhvi Gurram, Heesung Kwon
A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection. IGARSS (2010)
Heesung Kwon, Nasser M. Nasrabadi
A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery. EURASIP J. Adv. Signal Process. 2007 (2007)
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) (2007)
Heesung Kwon, Nasser M. Nasrabadi
Kernel Spectral Matched Filter for Hyperspectral Imagery. Int. J. Comput. Vis. 71 (2) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Heesung Kwon