Publications (9)
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision
Ning-Hsu Wang, Ren Wang, Yu-Lun Liu +4
Depth estimation is a long-lasting yet important task in computer vision. Most of the previous works try to estimate depth from input images and assume images are all-in-focus (AiF…
Vec2Gloss: definition modeling leveraging contextualized vectors with Wordnet gloss
Yu-Hsiang Tseng, Mao-Chang Ku, Wei-Ling Chen +2
Contextualized embeddings are proven to be powerful tools in multiple NLP tasks. Nonetheless, challenges regarding their interpretability and capability to represent lexical semant…
Demailly's conjecture on Waldschmidt constants for sufficiently many very general points in
Yu-Lin Chang, Shin-Yao Jow
Let be a finite set of points in the projective space over an algebraically closed field . For each positive integer , let denote the smallest…
Learning Camera-Aware Noise Models
Ke-Chi Chang, Ren Wang, Hung-Jin Lin +4
Modeling imaging sensor noise is a fundamental problem for image processing and computer vision applications. While most previous works adopt statistical noise models, real-world n…
Positive Feedback and Synchronized Bursts in Neuronal Cultures
Yu-Ting Huang, Yu-Lin Chang, Chun-Chung Chen +2
Synchronized bursts (SBs) with complex structures are common in neuronal cultures. Although the origin of SBs is still unclear, they have been studied for their information process…
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng +6
Many existing conditional score-based data generation methods utilize Bayes' theorem to decompose the gradients of a log posterior density into a mixture of scores. These methods f…