Yinhao Zhu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Lossy Image Compression

Dempster Shafer

Top Venues

J. Comput. Phys.

Publications

Farhad G. Zanjani, Hong Cai, Yinhao Zhu, Leyla Mirvakhabova, Fatih Porikli
Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding. CoRR (2024)
Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. CoRR (2024)
Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. ICCV (2023)
Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. CoRR (2023)
Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. CVPR (2023)
Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. NeurIPS (2023)
Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. CoRR (2023)
Yinhao Zhu, Yang Yang, Taco Cohen
Transformer-based Transform Coding. ICLR (2022)
Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. CoRR (2022)
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
Real-Time and Accurate Self-Supervised Monocular Depth Estimation on Mobile Device. NeurIPS (Competition and Demos) (2021)
Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen
Progressive Neural Image Compression with Nested Quantization and Latent Ordering. CoRR (2021)
Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen
Progressive Neural Image Compression With Nested Quantization And Latent Ordering. ICIP (2021)
Zhen Chen, Yuli Fu, Youjun Xiang, Yinhao Zhu
A novel MR image denoising via LRMA and NLSS. Signal Process. 185 (2021)
Hilmi E. Egilmez, Ankitesh K. Singh, Muhammed Z. Coban, Marta Karczewicz, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen
Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces. CoRR (2021)
Yinhao Zhu, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis, Paris Perdikaris
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data. J. Comput. Phys. 394 (2019)
Yinhao Zhu, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis, Paris Perdikaris
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data. CoRR (2019)
Yide Zhang, Yinhao Zhu, Evan L. Nichols, Qingfei Wang, Siyuan Zhang, Cody J. Smith, Scott S. Howard
A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images. CVPR (2019)
Yinhao Zhu, Nicholas Zabaras
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification. J. Comput. Phys. 366 (2018)
Shaoxing Mo, Yinhao Zhu, Nicholas Zabaras, Xiaoqing Shi, Jichun Wu
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media. CoRR (2018)
Yinhao Zhu, Nicholas Zabaras
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification. CoRR (2018)
Yide Zhang, Yinhao Zhu, Evan L. Nichols, Qingfei Wang, Siyuan Zhang, Cody J. Smith, Scott S. Howard
A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images. CoRR (2018)
Xiaobin Zhang, Yinhao Zhu, Hai Lin
Performance guaranteed human-robot collaboration through correct-by-design. ACC (2016)