| 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 | 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 |
| 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 |
| 2022 | ECCV | Negative Samples are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification. | Hyungtae Lee, Sungmin Eum, 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 |
| 2020 | CVPR | SomethingFinder: Localizing undefined regions using referring expressions. | Sungmin Eum, David K. Han, Gordon Briggs |
| 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 |
| 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 | 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 |
| 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 | ICIP | IOD-CNN: Integrating object detection networks for event recognition. | Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann |
| 2016 | ICPR | Content selection using frontalness evaluation of multiple frames. | Sungmin Eum, David S. Doermann |
| 2015 | BMVC | JH2R: Joint Homography Estimation for Highlight Removal. | Sungmin Eum, Hyungtae Lee, David S. Doermann |
| 2014 | ICIP | Sharpness-aware document image mosaicing using graphcuts. | Sungmin Eum, David S. Doermann |
| 2011 | CVPR | Face recognizability evaluation for ATM applications with exceptional occlusion handling. | Sungmin Eum, Jae Kyu Suhr, Jaihie Kim |