Going Deeper With Contextual CNN for Hyperspectral Image Classification von Lee, Hyungtae, Kwon, Heesung

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Generating Hard Examples for Pixel-Wise Classification von Lee, Hyungtae, Kwon, Heesung, Kim, Wonkook

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A large-scale benchmark dataset for event recognition in surveillance video von Sangmin Oh, Hoogs, A., Perera, A., Cuntoor, N., Chia-Chih Chen, Jong Taek Lee, Mukherjee, S., Aggarwal, J. K., Hyungtae Lee, Davis, L., Swears, E., Xioyang Wang, Qiang Ji, Reddy, K., Shah, M., Vondrick, C., Pirsiavash, H., Ramanan, D., Yuen, J., Torralba, A., Bi Song, Fong, A., Roy-Chowdhury, A., Desai, M.

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High-Level Spectral Method for the Fully Nonlinear Waves von Kim, Jang, Park, Sewan, Shen, Zhirong, Kyoung, Johyun, Baquet, Aldric, Lee, Hyungtae, Ha, Yoon-Jin, Park, Ji-Yong, Kim, Kyong-Hwan

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Time-Domain Response-Based Structural Analysis on a Floating Offshore Wind Turbine von Lee, Hyungtae, Moon, Wonki, Lee, Mugyeom, Song, Kanghyun, Shen, Zhirong, Kyoung, Johyun, Baquet, Aldric, Kim, Jang, Han, Ikseung, Park, Sewan, Kim, Kyong-Hwan, Kim, Booki

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DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors von Lee, Hyungtae, Kwon, Heesung

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ME R-CNN: Multi-Expert R-CNN for Object Detection von Lee, Hyungtae, Eum, Sungmin, Kwon, Heesung

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Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification von Lee, Hyungtae, Eum, Sungmin, Kwon, Heesung

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Weakly Supervised Localization Using Deep Feature Maps von Bency, Archith John, Kwon, Heesung, Lee, Hyungtae, Karthikeyan, S., Manjunath, B. S.

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Negative Samples are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification von Lee, Hyungtae, Eum, Sungmin, Kwon, Heesung

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DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors von Lee, Hyungtae, Kwon, Heesung

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Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation von Lee, Hyungtae, Kwon, Heesung

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MeshGS: Adaptive Mesh-Aligned Gaussian Splatting for High-Quality Rendering von Choi, Jaehoon, Lee, Yonghan, Lee, Hyungtae, Kwon, Heesung, Manocha, Dinesh

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Exploring the Potential of Synthetic Data to Replace Real Data von Lee, Hyungtae, Zhang, Yan, Kwon, Heesung, Bhattacharrya, Shuvra S

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Diversifying Human Pose in Synthetic Data for Aerial-view Human Detection von Shen, Yi-Ting, Lee, Hyungtae, Kwon, Heesung, Bhattacharyya, Shuvra S

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Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification von Lee, Hyungtae, Eum, Sungmin, Kwon, Heesung

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Generating Hard Examples for Pixel-wise Classification von Lee, Hyungtae, Kwon, Heesung, Kim, Wonkook

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Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification von Lee, Hyungtae, Eum, Sungmin, Kwon, Heesung

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ME R-CNN: Multi-Expert R-CNN for Object Detection von Lee, Hyungtae, Eum, Sungmin, Kwon, Heesung

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UAV-Sim: NeRF-based Synthetic Data Generation for UAV-based Perception von Maxey, Christopher, Choi, Jaehoon, Lee, Hyungtae, Manocha, Dinesh, Kwon, Heesung

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