Zobrazeno 1 - 10
of 765
pro vyhledávání: '"Kim, Chang-Su"'
A novel algorithm for face obfuscation, called Forbes, which aims to obfuscate facial appearance recognizable by humans but preserve the identity and attributes decipherable by machines, is proposed in this paper. Forbes first applies multiple obfusc
Externí odkaz:
http://arxiv.org/abs/2407.14170
The main function of depth completion is to compensate for an insufficient and unpredictable number of sparse depth measurements of hardware sensors. However, existing research on depth completion assumes that the sparsity -- the number of points or
Externí odkaz:
http://arxiv.org/abs/2404.19294
Autor:
Lee, Chaewon, Kim, Chang-Su
For click-based interactive segmentation methods, reducing the number of clicks required to obtain a desired segmentation result is essential. Although recent click-based methods yield decent segmentation results, we observe that substantial amount o
Externí odkaz:
http://arxiv.org/abs/2404.18461
In recent interactive segmentation algorithms, previous probability maps are used as network input to help predictions in the current segmentation round. However, despite the utilization of previous masks, useful information contained in the probabil
Externí odkaz:
http://arxiv.org/abs/2404.18448
A novel algorithm, called semantic line combination detector (SLCD), to find an optimal combination of semantic lines is proposed in this paper. It processes all lines in each line combination at once to assess the overall harmony of the lines. First
Externí odkaz:
http://arxiv.org/abs/2404.18399
A novel algorithm to detect road lanes in videos, called recursive video lane detector (RVLD), is proposed in this paper, which propagates the state of a current frame recursively to the next frame. RVLD consists of an intra-frame lane detector (ILD)
Externí odkaz:
http://arxiv.org/abs/2308.11106
A novel 4K video frame interpolator based on bilateral transformer (BiFormer) is proposed in this paper, which performs three steps: global motion estimation, local motion refinement, and frame synthesis. First, in global motion estimation, we predic
Externí odkaz:
http://arxiv.org/abs/2304.02225
A typical monocular depth estimator is trained for a single camera, so its performance drops severely on images taken with different cameras. To address this issue, we propose a versatile depth estimator (VDE), composed of a common relative depth est
Externí odkaz:
http://arxiv.org/abs/2303.10991
Trit-plane coding enables deep progressive image compression, but it cannot use autoregressive context models. In this paper, we propose the context-based trit-plane coding (CTC) algorithm to achieve progressive compression more compactly. First, we
Externí odkaz:
http://arxiv.org/abs/2303.05715
Eigencontours are the first data-driven contour descriptors based on singular value decomposition. Based on the implementation of ESE-Seg, eigencontours were applied to the instance segmentation task successfully. In this report, we incorporate eigen
Externí odkaz:
http://arxiv.org/abs/2208.11258