1 code implementation • 29 Mar 2024 • Zihua Liu, Hiroki Sakuma, Masatoshi Okutomi
In the auto-labeling stage, we represent the surface of each instance as a signed distance field (SDF) and render its silhouette as an instance mask through our proposed instance-aware volumetric silhouette rendering.
no code implementations • 28 Feb 2024 • Zihua Liu, Yizhou Li, Masatoshi Okutomi
Stereo matching under foggy scenes remains a challenging task since the scattering effect degrades the visibility and results in less distinctive features for dense correspondence matching.
1 code implementation • ACM International Conference on Multimedia 2022 • Zihua Liu, Songyan Zhang, Zhicheng Wang, Masatoshi Okutomi
To enhance geometric consistency, especially in low-texture regions, the estimated normal map is then leveraged to calculate a local affinity matrix, providing the residual learning with information about where the correction should refer and thus improving the residual learning efficiency.
1 code implementation • 22 Dec 2023 • Zihua Liu, Yizhou Li, Masatoshi Okutomi
Despite the remarkable progress facilitated by learning-based stereo-matching algorithms, the performance in the ill-conditioned regions, such as the occluded regions, remains a bottleneck.
1 code implementation • 28 Aug 2020 • Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura
Our dataset inherently consists of visual (painting-based) and knowledge (comment-based) questions.
no code implementations • 27 Sep 2019 • Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei
We present an overview of SURREAL-System, a reproducible, flexible, and scalable framework for distributed reinforcement learning (RL).
no code implementations • 17 Mar 2019 • Bhavya Karki, Fan Hu, Nithin Haridas, Suhail Barot, Zihua Liu, Lucile Callebert, Matthias Grabmair, Anthony Tomasic
Each QA instance comprises a table of either kind, a natural language question, and a corresponding structured SQL query.