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pro vyhledávání: '"Lee, Jungho"'
Propagation-based video inpainting using optical flow at the pixel or feature level has recently garnered significant attention. However, it has limitations such as the inaccuracy of optical flow prediction and the propagation of noise over time. The
Externí odkaz:
http://arxiv.org/abs/2408.11402
Autor:
Cho, Suhwan, Lee, Minhyeok, Lee, Jungho, Kim, Donghyeong, Lee, Seunghoon, Woo, Sungmin, Lee, Sangyoun
Unsupervised video object segmentation (VOS), also known as video salient object detection, aims to detect the most prominent object in a video at the pixel level. Recently, two-stream approaches that leverage both RGB images and optical flow maps ha
Externí odkaz:
http://arxiv.org/abs/2407.11714
Recent studies construct deblurred neural radiance fields (DeRF) using dozens of blurry images, which are not practical scenarios if only a limited number of blurry images are available. This paper focuses on constructing DeRF from sparse-view for mo
Externí odkaz:
http://arxiv.org/abs/2407.06613
We extend several celebrated methods in classical analysis for summing series of complex numbers to series of complex matrices. These include the summation methods of Abel, Borel, Ces\'aro, Euler, Lambert, N\"orlund, and Mittag-Leffler, which are fre
Externí odkaz:
http://arxiv.org/abs/2405.19713
Neural radiance fields (NeRF) has attracted considerable attention for their exceptional ability in synthesizing novel views with high fidelity. However, the presence of motion blur, resulting from slight camera movements during extended shutter expo
Externí odkaz:
http://arxiv.org/abs/2403.07547
Black-box optimization (BBO) has become increasingly relevant for tackling complex decision-making problems, especially in public policy domains such as police redistricting. However, its broader application in public policymaking is hindered by the
Externí odkaz:
http://arxiv.org/abs/2310.18449
Autor:
Kim, Bosang, Kim, Jonghyun, Lee, Hyotae, Jin, Lanying, Ha, Jeongwon, Kwon, Dowoo, Kim, Jungpyo, Im, Wonhyeok, Jin, KyungMin, Lee, Jungho
In general, hand pose estimation aims to improve the robustness of model performance in the real-world scenes. However, it is difficult to enhance the robustness since existing datasets are obtained in restricted environments to annotate 3D informati
Externí odkaz:
http://arxiv.org/abs/2310.12189
Unsupervised video object segmentation (VOS) is a task that aims to detect the most salient object in a video without external guidance about the object. To leverage the property that salient objects usually have distinctive movements compared to the
Externí odkaz:
http://arxiv.org/abs/2309.14786
Autor:
Kim, Jonghyun, Kim, Bosang, Lee, Hyotae, Kim, Jungpyo, Im, Wonhyeok, Jin, Lanying, Kwon, Dowoo, Lee, Jungho
In general, human pose estimation methods are categorized into two approaches according to their architectures: regression (i.e., heatmap-free) and heatmap-based methods. The former one directly estimates precise coordinates of each keypoint using co
Externí odkaz:
http://arxiv.org/abs/2305.01167
Unsupervised video object segmentation aims to segment the most prominent object in a video sequence. However, the existence of complex backgrounds and multiple foreground objects make this task challenging. To address this issue, we propose a guided
Externí odkaz:
http://arxiv.org/abs/2303.08314