Zihua Liu

According to our database, Zihua Liu authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation.

Zihua Liu, Yizhou Li, Songyan Zhang, Masatoshi Okutomi

CoRR, August, 2025

TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration.

Yizhou Li, Zihua Liu, Yusuke Monno, Masatoshi Okutomi

Proceedings of the MultiMedia Modeling, 2025

2024

Global Occlusion-Aware Transformer for Robust Stereo Matching.

Zihua Liu, Yizhou Li, Masatoshi Okutomi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CFDNet: A Generalizable Foggy Stereo Matching Network with Contrastive Feature Distillation.

Zihua Liu, Yizhou Li, Masatoshi Okutomi

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection.

Zihua Liu, Hiroki Sakuma, Masatoshi Okutomi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Disparity Estimation Using a Quad-Pixel Sensor.

Zhuofeng Wu, Doehyung Lee, Zihua Liu, Kazunori Yoshizaki, Yusuke Monno, Masatoshi Okutomi

Proceedings of the 35th British Machine Vision Conference, 2024

2023

A Big Data Stream-Driven Risk Recognition Approach for Hospital Accounting Management Systems.

Yining Wang, Bin Liang, Tian Wang, Zihua Liu

IEEE Access, 2023

2022

Digging Into Normal Incorporated Stereo Matching.

Zihua Liu, Songyan Zhang, Zhicheng Wang, Masatoshi Okutomi

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2020

A Dataset and Baselines for Visual Question Answering on Art.

Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning.

Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei

CoRR, 2019

Question Answering via Web Extracted Tables and Pipelined Models.

Bhavya Karki, Fan Hu, Nithin Haridas, Suhail Barot, Zihua Liu, Lucile Callebert, Matthias Grabmair, Anthony Tomasic

CoRR, 2019

Question answering via web extracted tables.

Bhavya Karki, Fan Hu, Nithin Haridas, Suhail Barot, Zihua Liu, Lucile Callebert, Matthias Grabmair, Anthony Tomasic

Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2019

2018

SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark.

Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei

Proceedings of the 2nd Annual Conference on Robot Learning, 2018