| 2026 | AAAI | UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery Using Gaussian Splatting. | Jaehoon Choi, Dongki Jung, Chris Maxey, Sungmin Eum, Yonghan Lee, Dinesh Manocha, Heesung Kwon |
| 2026 | CHI | Investigating AI-induced Technostress and Coping Strategies of Professionals. | Heesung Kwon, Jeesun Oh, Suyoun Lee, Sunok Lee, Sangsu Lee |
| 2026 | WACV | MoRe: Monocular Geometry Refinement via Graph Optimization for Cross-View Consistency. | Dongki Jung, Jaehoon Choi, Yonghan Lee, Sungmin Eum, Heesung Kwon, Dinesh Manocha |
| 2026 | WACV | SynPlay: Large-Scale Synthetic Human Data with Real-World Diversity for Aerial-View Perception. | Jinsub Yim, Hyungtae Lee, Sungmin Eum, Yi-Ting Shen, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharyya |
| 2025 | ICCV | 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 |
| 2025 | ICIP | Diversifying Human Pose In Synthetic Data For Aerial-View Human Detection. | Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya |
| 2025 | IROS | TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes. | Christopher Maxey, Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Dinesh Manocha, Heesung Kwon |
| 2024 | ACCV | MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering. | Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Heesung Kwon, Dinesh Manocha |
| 2024 | ICIP | Exploring the Potential of Synthetic Data to Replace Real Data. | Hyungtae Lee, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharyya |
| 2024 | ICRA | UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception. | Christopher Maxey, Jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon |
| 2024 | IROS | 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 |
| 2023 | CVPR | Progressive Transformation Learning for Leveraging Virtual Images in Training. | Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya |
| 2023 | ICIP | 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 |
| 2022 | ACSSC | Real-time Face Tracking Based on a Configurable Ensemble of Detectors. | Eungjoo Lee, Alexander Mattingly, Heesung Kwon, Benjamin S. Riggan, Shuvra S. Bhattacharyya |
| 2022 | ECCV | Negative Samples are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification. | Hyungtae Lee, Sungmin Eum, Heesung Kwon |
| 2022 | ICASSP | Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation. | Hyungtae Lee, Heesung Kwon |
| 2022 | SoCS | 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 |
| 2021 | MASS | EDIR: Efficient Distributed Image Retrieval of Novel Objects in Mobile Networks. | Noor Felemban, Fidan Mehmeti, Thomas F. La Porta, Heesung Kwon |
| 2020 | CVPR | Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. | Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin |
| 2020 | ICASSP | S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. | Hyungtae Lee, Sungmin Eum, Heesung Kwon |
| 2020 | ICPR | Semantics to Space(S2S): Embedding semantics into spatial space for zero-shot verb-object query inferencing. | Sungmin Eum, Heesung Kwon |
| 2020 | MOBICOM | CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud. | Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin M. Marlin, Heesung Kwon |
| 2019 | ICASSP | Object and Text-guided Semantics for CNN-based Activity Recognition. | Sungmin Eum, Christopher Reale, Heesung Kwon, Claire Bonial, Clare R. Voss |
| 2019 | ICASSP | DOD-CNN: Doubly-injecting Object Information for Event Recognition. | Hyungtae Lee, Sungmin Eum, Heesung Kwon |
| 2019 | ICCV | Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach. | Zhenyu Wu, Karthik Suresh, Priya Narayanan, Hongyu Xu, Heesung Kwon, Zhangyang Wang |
| 2019 | IROS | 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 |
| 2019 | IGARSS | Is Pretraining Necessary for hyperspectral image classification? | Hyungtae Lee, Sungmin Eum, Heesung Kwon |
| 2019 | SmartComp | Cooperative Learning for Multi-perspective Image Classification. | Nicholas Nordlund, Heesung Kwon, Leandros Tassiulas |
| 2019 | SmartComp | Online Distributed Analytics at the Edge with Multiple Service Grades. | Victor Valls, Geeth de Mel, Heesung Kwon, Leandros Tassiulas |
| 2018 | COLING | Can You Spot the Semantic Predicate in this Video? | Christopher Reale, Claire Bonial, Heesung Kwon, Clare R. Voss |
| 2018 | ICASSP | Exploitation of Semantic Keywords for Malicious Event Classification. | Hyungtae Lee, Sungmin Eum, Joel Levis, Heesung Kwon, James Michaelis, Michael Kolodny |
| 2018 | IGARSS | Cross-Domain CNN for Hyperspectral Image Classification. | Hyungtae Lee, Sungmin Eum, Heesung Kwon |
| 2017 | CVPR | Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric. | Christopher Reale, Hyungtae Lee, Heesung Kwon |
| 2017 | ICIP | Enhanced object detection via fusion with prior beliefs from image classification. | Yilun Cao, Hyungtae Lee, Heesung Kwon |
| 2017 | ICIP | IOD-CNN: Integrating object detection networks for event recognition. | Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann |
| 2016 | CVPR | Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition. | Christopher Reale, Nasser M. Nasrabadi, Heesung Kwon, Rama Chellappa |
| 2016 | ECCV | Weakly Supervised Localization Using Deep Feature Maps. | Archith John Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath |
| 2016 | ICASSP | DTM: Deformable template matching. | Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang |
| 2016 | IROS | 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 |
| 2016 | IGARSS | Contextual deep CNN based hyperspectral classification. | Hyungtae Lee, Heesung Kwon |
| 2016 | WACV | Dynamic belief fusion for object detection. | Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang, Amar M. Marathe |
| 2015 | IROS | 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 |
| 2015 | IGARSS | Shapely value based random subspace selection for hyperspectral image classification. | Prudhvi Gurram, Heesung Kwon, Charles Davidson |
| 2015 | PERCOM | Quality of information-aware real-time traffic flow analysis and reporting. | Manisha Mukherjee, James Edwards, Heesung Kwon, Thomas F. La Porta |
| 2014 | IGARSS | Coalition game theory based feature subset selection for hyperspectral image classification. | Prudhvi Gurram, Heesung Kwon |
| 2012 | IGARSS | Contextual SVM for hyperspectral classification using Hilbert Space Embedding. | Prudhvi Gurram, Heesung Kwon |
| 2011 | IGARSS | Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems. | Prudhvi Gurram, Heesung Kwon |
| 2010 | IGARSS | A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection. | Prudhvi Gurram, Heesung Kwon |
| 2010 | IGARSS | Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection. | Heesung Kwon, Prudhvi Gurram |
| 2005 | CVPR | Kernel Matched Signal Detectors for Hyperspectral Target Detection. | Heesung Kwon, Nasser M. Nasrabadi |
| 2005 | ICASSP | Kernel adaptive subspace detector for hyperspectral target detection. | Heesung Kwon, Nasser M. Nasrabadi |
| 2005 | ICASSP | Kernel spectral matched filter for hyperspectral target detection. | Nasser M. Nasrabadi, Heesung Kwon |
| 2005 | ICIP | Hyperspectral target detection using kernel orthogonal subspace projection. | Heesung Kwon, Nasser M. Nasrabadi |
| 2004 | CVPR | Hyperspectral Target Detection Using Kernel Spectral Matched Filter. | Heesung Kwon, Nasser M. Nasrabadi |
| 2004 | ICIP | Hyperspectral target detection using kernel matched subspace detector. | Heesung Kwon, Nasser M. Nasrabadi |
| 2004 | ICIP | Hyperspectral anomaly detection using kernel rx-algorithm. | Heesung Kwon, Nasser M. Nasrabadi |
| 2004 | IJCNN | Kernel-based subpixel target detection in hyperspectral images. | Heesung Kwon, Nasser M. Nasrabadi |
| 2003 | ICIP | Projection-based adaptive anomaly detection for hyperspectral imagery. | Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi |
| 2001 | ICIP | An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery. | Heesung Kwon, Nasser M. Nasrabadi |
| 2001 | VCIP | Unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery. | Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi |
| 2000 | ICIP | An Adaptive Hierarchical Segmentation Algorithm Based on Quadtree Decomposition for Hyperspectral Imagery. | Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi |
| 1998 | ICIP | Very-Low-Bit-Rate Video Coding using Quadtree Decomposition and Cache-based Vector Quantization. | Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi |
| 1996 | ICASSP | Segmentation based wavelet coding of digital images. | Euee S. Jang, Heesung Kwon, Lin-Cheng Wang, Syed A. Rizvi, Nasser M. Nasrabadi |