Yinhao Zhu - RankMe

26 papers A* 5B 2C 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BePo: Leveraging Birds Eye View and Sparse Points for Efficient and Accurate 3D Occupancy Prediction. CoRR Yunxiao Shi, Hong Cai, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Amin Ansari, Fatih Porikli
2025	J	`jnl`	ODG: Occupancy Prediction Using Dual Gaussians. CoRR Yunxiao Shi, Yinhao Zhu, Shizhong Han, Jisoo Jeong, Amin Ansari, Hong Cai, Fatih Porikli
2024	—	`conf`	FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. ECCV (5) Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli
2024	J	`jnl`	FutureDepth: Learning to Predict the Future Improves Video Depth Estimation. CoRR Rajeev Yasarla, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli
2024	B	`conf`	Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding. ICIP Farhad G. Zanjani, Hong Cai, Yinhao Zhu, Leyla Mirvakhabova, Fatih Porikli
2024	J	`jnl`	Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding. CoRR Farhad G. Zanjani, Hong Cai, Yinhao Zhu, Leyla Mirvakhabova, Fatih Porikli
2023	A*	`conf`	Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. ICCV Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi
2023	J	`jnl`	Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. CoRR Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi
2023	A*	`conf`	OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. NeurIPS Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su
2023	J	`jnl`	OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding. CoRR Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su
2023	A*	`conf`	PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. CVPR Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su
2022	J	`jnl`	PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models. CoRR Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su
2022	A*	`conf`	Transformer-based Transform Coding. ICLR Yinhao Zhu, Yang Yang, Taco Cohen
2021	J	`jnl`	A novel MR image denoising via LRMA and NLSS. Signal Process. Zhen Chen, Yuli Fu, Youjun Xiang, Yinhao Zhu
2021	B	`conf`	Progressive Neural Image Compression With Nested Quantization And Latent Ordering. ICIP Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen
2021	J	`jnl`	Progressive Neural Image Compression with Nested Quantization and Latent Ordering. CoRR Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen
2021	—	`conf`	Real-Time and Accurate Self-Supervised Monocular Depth Estimation on Mobile Device. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces. CoRR Hilmi E. Egilmez, Ankitesh K. Singh, Muhammed Z. Coban, Marta Karczewicz, Yinhao Zhu, Yang Yang, Amir Said, Taco S. Cohen
2019	A*	`conf`	A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images. CVPR Yide Zhang, Yinhao Zhu, Evan L. Nichols, Qingfei Wang, Siyuan Zhang, Cody J. Smith, Scott S. Howard
2019	J	`jnl`	Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data. CoRR Yinhao Zhu, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis, Paris Perdikaris
2019	J	`jnl`	Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data. J. Comput. Phys. Yinhao Zhu, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis, Paris Perdikaris
2018	J	`jnl`	A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images. CoRR Yide Zhang, Yinhao Zhu, Evan L. Nichols, Qingfei Wang, Siyuan Zhang, Cody J. Smith, Scott S. Howard
2018	J	`jnl`	Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification. CoRR Yinhao Zhu, Nicholas Zabaras
2018	J	`jnl`	Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification. J. Comput. Phys. Yinhao Zhu, Nicholas Zabaras
2018	J	`jnl`	Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media. CoRR Shaoxing Mo, Yinhao Zhu, Nicholas Zabaras, Xiaoqing Shi, Jichun Wu
2016	C	`conf`	Performance guaranteed human-robot collaboration through correct-by-design. ACC Xiaobin Zhang, Yinhao Zhu, Hai Lin