Hyungtae Lee - RankMe

65 papers A* 3A 7B 6C 3Misc 5Journal 33Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes. IROS Christopher Maxey, Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
2024	J	`jnl`	Diversifying Human Pose in Synthetic Data for Aerial-view Human Detection. CoRR Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya
2024	J	`jnl`	Exploring the Impact of Synthetic Data for Aerial-view Human Detection. CoRR Hyungtae Lee, Yan Zhang, Yi-Ting Shen, Heesung Kwon, Shuvra S. Bhattacharyya
2024	B	`conf`	Exploring the Potential of Synthetic Data to Replace Real Data. ICIP Hyungtae Lee, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharyya
2024	J	`jnl`	Exploring the Potential of Synthetic Data to Replace Real Data. CoRR Hyungtae Lee, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharrya
2024	—	`conf`	MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering. ACCV (9) Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Heesung Kwon, Dinesh Manocha
2024	J	`jnl`	MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering. CoRR Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Heesung Kwon, Dinesh Manocha
2024	J	`jnl`	SynPlay: Importing Real-world Diversity for a Synthetic Human Dataset. CoRR Jinsub Yim, Hyungtae Lee, Sungmin Eum, Yi-Ting Shen, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharyya
2024	J	`jnl`	TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes. CoRR Christopher Maxey, Jaehoon Choi, Yonghan Lee, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
2024	A	`conf`	Two Teachers Are Better Than One: Leveraging Depth In Training Only For Unsupervised Obstacle Segmentation. IROS Sungmin Eum, Hyungtae Lee, Heesung Kwon, Philip R. Osteen, Andre Harrison
2024	A*	`conf`	UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception. ICRA Christopher Maxey, Jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
2023	B	`conf`	NEV-NCD: Negative Learning, Entropy, and Variance Regularization Based Novel Action Categories Discovery. ICIP Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
2023	J	`jnl`	NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery. CoRR Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
2023	J	`jnl`	Novel Categories Discovery from probability matrix perspective. CoRR Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed, Sanjay Purushotham, Heesung Kwon, Hyungtae Lee, Nirmalya Roy
2023	A*	`conf`	Progressive Transformation Learning for Leveraging Virtual Images in Training. CVPR Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya
2023	J	`jnl`	UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception. CoRR Christopher Maxey, Jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
2022	J	`jnl`	DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. CoRR Hyungtae Lee, Heesung Kwon
2022	—	`conf`	Exploiting Simplified Depth Estimation for Stereo-based 2D Object Detection. AIPR Yaesop Lee, Hyungtae Lee, Eungjoo Lee, Heesung Kwon, Shuvra S. Bhattacharyya
2022	J	`jnl`	Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2022	J	`jnl`	Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Hyungtae Lee, Sungmin Eum, Heesung Kwon
2022	—	`conf`	Negative Samples are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification. ECCV (24) Hyungtae Lee, Sungmin Eum, Heesung Kwon
2022	J	`jnl`	Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2022	J	`jnl`	Progressive Transformation Learning For Leveraging Virtual Images in Training. CoRR Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra Shikhar Bhattacharyya
2022	Misc	`conf`	Self-Supervised Contrastive Learning for Cross-Domain Hyperspectral Image Representation. ICASSP Hyungtae Lee, Heesung Kwon
2022	J	`jnl`	Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation. CoRR Hyungtae Lee, Heesung Kwon
2021	J	`jnl`	DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors. IEEE Trans. Pattern Anal. Mach. Intell. Hyungtae Lee, Heesung Kwon
2021	J	`jnl`	Generating Hard Examples for Pixel-Wise Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hyungtae Lee, Heesung Kwon, Wonkook Kim
2020	J	`jnl`	ME R-CNN: Multi-Expert R-CNN for Object Detection. IEEE Trans. Image Process. Hyungtae Lee, Sungmin Eum, Heesung Kwon
2020	Misc	`conf`	S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. ICASSP Hyungtae Lee, Sungmin Eum, Heesung Kwon
2019	Misc	`conf`	DOD-CNN: Doubly-injecting Object Information for Event Recognition. ICASSP Hyungtae Lee, Sungmin Eum, Heesung Kwon
2019	J	`jnl`	Is Pretraining Necessary for Hyperspectral Image Classification? CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2019	C	`conf`	Is Pretraining Necessary for hyperspectral image classification? IGARSS Hyungtae Lee, Sungmin Eum, Heesung Kwon
2019	J	`jnl`	S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2018	C	`conf`	Cross-Domain CNN for Hyperspectral Image Classification. IGARSS Hyungtae Lee, Sungmin Eum, Heesung Kwon
2018	J	`jnl`	Cross-domain CNN for Hyperspectral Image Classification. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2018	J	`jnl`	DOD-CNN: Doubly-injecting Object Information for Event Recognition. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2018	J	`jnl`	Discovering and Generating Hard Examples for Training a Red Tide Detector. CoRR Hyungtae Lee, Heesung Kwon, Wonkook Kim
2018	Misc	`conf`	Exploitation of Semantic Keywords for Malicious Event Classification. ICASSP Hyungtae Lee, Sungmin Eum, Joel Levis, Heesung Kwon, James Michaelis, Michael Kolodny
2017	—	`conf`	Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric. CVPR Workshops Christopher Reale, Hyungtae Lee, Heesung Kwon
2017	B	`conf`	Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition. FG Christopher Reale, Hyungtae Lee, Heesung Kwon, Rama Chellappa
2017	B	`conf`	Enhanced object detection via fusion with prior beliefs from image classification. ICIP Yilun Cao, Hyungtae Lee, Heesung Kwon
2017	J	`jnl`	Going Deeper With Contextual CNN for Hyperspectral Image Classification. IEEE Trans. Image Process. Hyungtae Lee, Heesung Kwon
2017	J	`jnl`	IOD-CNN: Integrating Object Detection Networks for Event Recognition. CoRR Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann
2017	B	`conf`	IOD-CNN: Integrating object detection networks for event recognition. ICIP Sungmin Eum, Hyungtae Lee, Heesung Kwon, David S. Doermann
2017	J	`jnl`	ME R-CNN: Multi-Expert Region-based CNN for Object Detection. CoRR Hyungtae Lee, Sungmin Eum, Heesung Kwon
2016	J	`jnl`	Contextual Deep CNN Based Hyperspectral Classification. CoRR Hyungtae Lee, Heesung Kwon
2016	C	`conf`	Contextual deep CNN based hyperspectral classification. IGARSS Hyungtae Lee, Heesung Kwon
2016	J	`jnl`	DTM: Deformable Template Matching. CoRR Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang
2016	Misc	`conf`	DTM: Deformable template matching. ICASSP Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang
2016	A	`conf`	Dynamic belief fusion for object detection. WACV Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang, Amar M. Marathe
2016	J	`jnl`	Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification. CoRR Yilun Cao, Hyungtae Lee, Heesung Kwon
2016	J	`jnl`	Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search. CoRR Hyungtae Lee, Heesung Kwon, Archith J. Bency, William D. Nothwang
2016	J	`jnl`	Joint Deep Exploitation of Semantic Keywords and Visual Features for Malicious Crowd Image Classification. CoRR Joel Levis, Hyungtae Lee, Heesung Kwon, James Michaelis, Michael Kolodny, Sungmin Eum
2016	A	`conf`	Task-conversions for integrating human and machine perception in a unified task. IROS Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, Daniel Donavanik, William D. Nothwang, Amar R. Marathe
2016	—	`conf`	Weakly Supervised Localization Using Deep Feature Maps. ECCV (1) Archith John Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath
2016	J	`jnl`	Weakly Supervised Localization using Deep Feature Maps. CoRR Archith J. Bency, Heesung Kwon, Hyungtae Lee, S. Karthikeyan, B. S. Manjunath
2015	A	`conf`	Clauselets: Leveraging Temporally Related Actions for Video Event Analysis. WACV Hyungtae Lee, Vlad I. Morariu, Larry S. Davis
2015	J	`jnl`	Dynamic Belief Fusion for Object Detection. CoRR Hyungtae Lee, Heesung Kwon, Ryan M. Robinson, William D. Nothwang, Amar M. Marathe
2015	A	`conf`	Human-autonomy sensor fusion for rapid object detection. IROS Ryan M. Robinson, Hyungtae Lee, Michael J. McCourt, Amar R. Marathe, Heesung Kwon, Chau Ton, William D. Nothwang
2015	A	`conf`	JH2R: Joint Homography Estimation for Highlight Removal. BMVC Sungmin Eum, Hyungtae Lee, David S. Doermann
2014	—	`—`	Analyzing Complex Events and Human Actions in "in-the-wild" Videos. Hyungtae Lee
2014	—	`conf`	Robust Pose Features for Action Recognition. CVPR Workshops Hyungtae Lee, Vlad I. Morariu, Larry S. Davis
2012	—	`conf`	Qualitative Pose Estimation by Discriminative Deformable Part Models. ACCV (2) Hyungtae Lee, Vlad I. Morariu, Larry S. Davis
2011	A*	`conf`	A large-scale benchmark dataset for event recognition in surveillance video. CVPR 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, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai
2011	B	`conf`	AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video. AVSS 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, Qiang Ji, Kishore K. Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit K. Roy-Chowdhury, Mita Desai