Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Park, Joonkyu"'
To train a deblurring network, an appropriate dataset with paired blurry and sharp images is essential. Existing datasets collect blurry images either synthetically by aggregating consecutive sharp frames or using sophisticated camera systems to capt
Externí odkaz:
http://arxiv.org/abs/2410.23658
Image restoration models are typically trained with a pixel-wise distance loss defined over the RGB color representation space, which is well known to be a source of blurry and unrealistic textures in the restored images. The reason, we believe, is t
Externí odkaz:
http://arxiv.org/abs/2402.03399
Understanding how two hands interact with each other is a key component of accurate 3D interacting hand mesh recovery. However, recent Transformer-based methods struggle to learn the interaction between two hands as they directly utilize two hand fea
Externí odkaz:
http://arxiv.org/abs/2309.01943
Hands, one of the most dynamic parts of our body, suffer from blur due to their active movements. However, previous 3D hand mesh recovery methods have mainly focused on sharp hand images rather than considering blur due to the absence of datasets pro
Externí odkaz:
http://arxiv.org/abs/2303.15417
Video deblurring models exploit information in the neighboring frames to remove blur caused by the motion of the camera and the objects. Recurrent Neural Networks~(RNNs) are often adopted to model the temporal dependency between frames via hidden sta
Externí odkaz:
http://arxiv.org/abs/2203.16063
Publikováno v:
Computer Vision and Pattern Recognition (CVPR), 2022
Hands are often severely occluded by objects, which makes 3D hand mesh estimation challenging. Previous works often have disregarded information at occluded regions. However, we argue that occluded regions have strong correlations with hands so that
Externí odkaz:
http://arxiv.org/abs/2203.14564
Publikováno v:
The British Machine Vision Conference (BMVC) 2021
State-of-the-art video deblurring methods often adopt recurrent neural networks to model the temporal dependency between the frames. While the hidden states play key role in delivering information to the next frame, abrupt motion blur tend to weaken
Externí odkaz:
http://arxiv.org/abs/2203.06418
We consider the problem of recovering a single person's 3D human mesh from in-the-wild crowded scenes. While much progress has been in 3D human mesh estimation, existing methods struggle when test input has crowded scenes. The first reason for the fa
Externí odkaz:
http://arxiv.org/abs/2104.07300
Autor:
Ahn, Youngjun, Everhardt, Arnoud S., Lee, Hyeon Jun, Park, Joonkyu, Pateras, Anastasios, Damerio, Silvia, Zhou, Tao, DiChiara, Anthony D., Wen, Haidan, Noheda, Beatriz, Evans, Paul G.
Publikováno v:
Phys. Rev. Lett. 127, 097402 (2021)
Optical excitation perturbs the balance of phenomena selecting the tilt orientation of domain walls within ferroelectric thin films. The high carrier density induced in a low-strain BaTiO3 thin film by an above-bandgap ultrafast optical pulse changes
Externí odkaz:
http://arxiv.org/abs/2008.06819
Autor:
Pateras, Anastasios, Park, Joonkyu, Ahn, Youngjun, Tilka, Jack A., Holt, Martin V., Reichl, Christian, Wegscheider, Werner, Baart, Timothy A., Dehollain, Juan Pablo, Mukhopadhyay, Uditendu, Vandersypen, Lieven M. K., Evans, Paul G.
Publikováno v:
Nano Lett. 18, 2780 (2018)
Quantum devices formed in high-electron-mobility semiconductor heterostructures provide a route through which quantum mechanical effects can be exploited on length scales accessible to lithography and integrated electronics. The electrostatic definit
Externí odkaz:
http://arxiv.org/abs/2002.11067