Zobrazeno 1 - 10
of 1 194
pro vyhledávání: '"LIAO, Ting"'
Autor:
Lee, Yao-Chih, Chen, Yi-Ting, Wang, Andrew, Liao, Ting-Hsuan, Feng, Brandon Y., Huang, Jia-Bin
We introduce VividDream, a method for generating explorable 4D scenes with ambient dynamics from a single input image or text prompt. VividDream first expands an input image into a static 3D point cloud through iterative inpainting and geometry mergi
Externí odkaz:
http://arxiv.org/abs/2405.20334
Objective: Randomized controlled trial (RCT) results often inform clinical decision-making, but the highly curated populations of trials and the care provided during the trial are often not reflective of real-world practice. The objective of this sco
Externí odkaz:
http://arxiv.org/abs/2402.07236
Single-atom catalysts (SACs) have emerged as frontiers for catalyzing chemical reactions, yet the diverse combinations of active elements and support materials, the nature of coordination environments, elude traditional methodologies in searching opt
Externí odkaz:
http://arxiv.org/abs/2402.03876
Publikováno v:
Phys. Rev. B 110, 134306 (2024)
Universal critical properties can manifest themselves not only in spatial but also in temporal directions. It has been found that critical point with emergent symmetry exhibits intriguing spatial critical properties characterized by two divergent len
Externí odkaz:
http://arxiv.org/abs/2311.06203
There has been tremendous progress in large-scale text-to-image synthesis driven by diffusion models enabling versatile downstream applications such as 3D object synthesis from texts, image editing, and customized generation. We present a generic app
Externí odkaz:
http://arxiv.org/abs/2302.08510
Autor:
Liao, Ting-Wei1 (AUTHOR) doc62388@aftygh.gov.tw, Wang, Ruei-Lin1 (AUTHOR) aassukw@livemail.tw, Chen, Szu-Chi1 (AUTHOR) doc62606@aftygh.gov.tw, Chang, Ya-Chieh2 (AUTHOR) ajie1124@gmail.com, Chiang, Wen-Fang3,4 (AUTHOR) wfc96076@aftygh.gov.tw, Hsiao, Po-Jen3,4,5 (AUTHOR) doc10510@aftygh.gov.tw
Publikováno v:
Reports (MDPI AG). Sep2024, Vol. 7 Issue 3, p72. 7p.
Autor:
Liao, Ting-Hsuan, Liao, Huang-Ru, Yang, Shan-Ya, Yao, Jie-En, Tsao, Li-Yuan, Liu, Hsu-Shen, Cheng, Bo-Wun, Chao, Chen-Hao, Chang, Chia-Che, Lo, Yi-Chen, Lee, Chun-Yi
Many unsupervised domain adaptation (UDA) methods have been proposed to bridge the domain gap by utilizing domain invariant information. Most approaches have chosen depth as such information and achieved remarkable success. Despite their effectivenes
Externí odkaz:
http://arxiv.org/abs/2211.08888
We present a neural network architecture for medical image segmentation of diabetic foot ulcers and colonoscopy polyps. Diabetic foot ulcers are caused by neuropathic and vascular complications of diabetes mellitus. In order to provide a proper diagn
Externí odkaz:
http://arxiv.org/abs/2209.07313
This paper introduces pixel-wise prediction based visual odometry (PWVO), which is a dense prediction task that evaluates the values of translation and rotation for every pixel in its input observations. PWVO employs uncertainty estimation to identif
Externí odkaz:
http://arxiv.org/abs/2208.08892
Autor:
Yang, Hsuan-Kung, Hsiao, Tsu-Ching, Liao, Ting-Hsuan, Liu, Hsu-Shen, Tsao, Li-Yuan, Wang, Tzu-Wen, Yang, Shan-Ya, Chen, Yu-Wen, Liao, Huang-Ru, Lee, Chun-Yi
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
In this paper, we introduce a new concept of incorporating factorized flow maps as mid-level representations, for bridging the perception and the control modules in modular learning based robotic frameworks. To investigate the advantages of factorize
Externí odkaz:
http://arxiv.org/abs/2203.04927