Yinhao Zhu

According to our database, Yinhao Zhu authored at least 16 papers between 2016 and 2024.

Collaborative distances:

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

2024

FutureDepth: Learning to Predict the Future Improves Video Depth Estimation.

Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli

CoRR, 2024

Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding.

Farhad G. Zanjani, Hong Cai, Yinhao Zhu, Leyla Mirvakhabova, Fatih Porikli

CoRR, 2024

2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding.

Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su

CoRR, 2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding.

Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation.

Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models.

Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Transformer-based Transform Coding.

Yinhao Zhu, Yang Yang, Taco Cohen

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A novel MR image denoising via LRMA and NLSS.

Zhen Chen, Yuli Fu, Youjun Xiang, Yinhao Zhu

Signal Process., 2021

Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces.

Hilmi E. Egilmez, Ankitesh K. Singh, Muhammed Z. Coban, Marta Karczewicz, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen

CoRR, 2021

Real-Time and Accurate Self-Supervised Monocular Depth Estimation on Mobile Device.

Hong Cai, Fei Yin, Tushar Singhal, Sandeep Pendyam, Parham Noorzad, Yinhao Zhu, Khoi Nguyen, Janarbek Matai, Bharath Ramaswamy, Frank Mayer, Chirag Patel, Abhijit Khobare, Fatih Porikli

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Progressive Neural Image Compression With Nested Quantization And Latent Ordering.

Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2019

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data.

Yinhao Zhu, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis, Paris Perdikaris

J. Comput. Phys., 2019

A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images.

Yide Zhang, Yinhao Zhu, Evan L. Nichols, Qingfei Wang, Siyuan Zhang, Cody J. Smith, Scott S. Howard

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification.

Yinhao Zhu, Nicholas Zabaras

J. Comput. Phys., 2018

Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media.

Shaoxing Mo, Yinhao Zhu, Nicholas Zabaras, Xiaoqing Shi, Jichun Wu

CoRR, 2018

2016

Performance guaranteed human-robot collaboration through correct-by-design.

Xiaobin Zhang, Yinhao Zhu, Hai Lin

Proceedings of the 2016 American Control Conference, 2016