Face recognizability evaluation for ATM applications with exceptional occlusion handling. - Sungmin Eum; Jae Kyu Suhr; Jaihie Kim (CVPR Workshops, 2011)

Face liveness detection based on texture and frequency analyses. - Gahyun Kim; Sungmin Eum; Jae Kyu Suhr; Ik-Dong Kim; Kang Ryoung Park; Jaihie Kim (ICB, 2012)

Recognizability assessment of facial images for automated teller machine applications. - Jae Kyu Suhr; Sungmin Eum; Ho Gi Jung; Gen Li 011; Gahyun Kim; Jaihie Kim (Pattern Recognit., 2012)

Enhancing Light Blob Detection for Intelligent Headlight Control Using Lane Detection. - Sungmin Eum; Ho Gi Jung (IEEE Trans. Intell. Transp. Syst., 2013)

Sharpness-aware document image mosaicing using graphcuts. - Sungmin Eum; David S. Doermann (ICIP, 2014)

JH2R: Joint Homography Estimation for Highlight Removal. - Sungmin Eum; Hyungtae Lee; David S. Doermann (BMVC, 2015)

Content selection using frontalness evaluation of multiple frames. - Sungmin Eum; David S. Doermann (ICPR, 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)

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)

Image and Video Analytics for Document Processing and Event Recognition. - Sungmin Eum (2017)

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)

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)

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)

Planar content selection in images and videos using frontalness. - Sungmin Eum; David S. Doermann (Pattern Recognit. Lett., 2019)

SomethingFinder: Localizing undefined regions using referring expressions. - Sungmin Eum; David K. Han; Gordon Briggs (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)

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

Sketch-and-Fill Network for Semantic Segmentation. - Youngsaeng Jin; Sungmin Eum; David K. Han; Hanseok Ko (IEEE Access, 2021)

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

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

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)

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)

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)