Kevin Zhang

According to our database, Kevin Zhang authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion.

Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher A. Metzler, Suren Jayasuriya, Adithya Pediredla

CoRR, 2024

AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion.

Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler

CoRR, 2024

2023

ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations.

Haoming Cai, Jingxi Chen, Brandon Y. Feng, Weiyun Jiang, Mingyang Xie, Kevin Zhang, Ashok Veeraraghavan, Christopher A. Metzler

CoRR, 2023

A Scalable Training Strategy for Blind Multi-Distribution Noise Removal.

Kevin Zhang, Sakshum Kulshrestha, Christopher A. Metzler

CoRR, 2023

Seeing the World through Your Eyes.

Hadi Alzayer, Kevin Zhang, Brandon Y. Feng, Christopher A. Metzler, Jia-Bin Huang

CoRR, 2023

PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters.

Shuhong Chen, Kevin Zhang, Yichun Shi, Heng Wang, Yiheng Zhu, Guoxian Song, Sizhe An, Janus Kristjansson, Xiao Yang, Matthias Zwicker

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

2022

MetaDIP: Accelerating Deep Image Prior with Meta Learning.

Kevin Zhang, Mingyang Xie, Maharshi Gor, Yi-Ting Chen, Yvonne Zhou, Christopher A. Metzler

CoRR, 2022

2021

Memory-Efficient Learning for High-Dimensional MRI Reconstruction.

Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Memory-Efficient Learning for Large-Scale Computational Imaging.

Michael R. Kellman, Kevin Zhang, Eric Markley, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller

IEEE Trans. Computational Imaging, 2020

Memory-efficient Learning for Large-scale Computational Imaging.

Michael R. Kellman, Kevin Zhang, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller

CoRR, 2020