AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video. - Sangmin Oh; Anthony Hoogs; A. G. Amitha Perera; Naresh P. Cuntoor; Chia-Chih Chen; Jong Taek Lee; Saurajit Mukherjee; J. K. Aggarwal; Hyungtae Lee; Larry S. Davis; Eran Swears; Xiaoyang Wang 001; et al. (AVSS, 2011)

A large-scale benchmark dataset for event recognition in surveillance video. - Sangmin Oh; Anthony Hoogs; A. G. Amitha Perera; Naresh P. Cuntoor; Chia-Chih Chen; Jong Taek Lee; Saurajit Mukherjee; J. K. Aggarwal; Hyungtae Lee; Larry S. Davis; Eran Swears; Xiaoyang Wang 001; et al. (CVPR, 2011)

Qualitative Pose Estimation by Discriminative Deformable Part Models. - Hyungtae Lee; Vlad I. Morariu; Larry S. Davis (ACCV (2), 2012)

Robust Pose Features for Action Recognition. - Hyungtae Lee; Vlad I. Morariu; Larry S. Davis (CVPR Workshops, 2014)

Analyzing Complex Events and Human Actions in "in-the-wild" Videos. - Hyungtae Lee (2014)

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

Clauselets: Leveraging Temporally Related Actions for Video Event Analysis. - Hyungtae Lee; Vlad I. Morariu; Larry S. Davis (WACV, 2015)

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)

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)

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)

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

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)

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

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)

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)

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)

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)