Kevin W. Zhang


is currently and previously

CV, as of 2024-11-16.


Publications (* indicates equal contribution)


A Scalable Training Strategy for Blind Multi-Distribution Noise Removal Kevin Zhang, Sakshum Kulshrestha, Christopher Metzler IEEE TIP 2024
[Paper]
Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher Metzler, Suren Jayasuriya, Adithya Pediredla IEEE Transactions on Pattern Analysis and Machine Intelligence (Special Issue of ICCP) 2024
[Paper]
Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations Haoming Cai*, Jingxi Chen*, Brandon Y. Feng, Weiyun Jiang, Mingyang Xie, Kevin Zhang, Cornelia Fermuller, Yiannis Aloimonos, Ashok Veeraraghavan, Christopher Metzler NeurIPS 2024
[Paper] [Website]
AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion Mohamad Qadri*, Kevin Zhang*, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher Metzler SIGGRAPH 2024 (conference track full paper)
[Paper] [Website]
Seeing the World through Your Eyes Hadi AlZayer*, Kevin Zhang*, Brandon Feng, Christopher Metzler, Jia-bin Huang CVPR 2024 (Oral, 3.3% of accepted papers)
[Paper] [Website] [Press] [Twitter]
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 Þór Kristjánsson, Xiao Yang, Matthias Zwicker CVPR 2023
[Paper] [Code]
MetaDIP: Accelerating Deep Image Prior with Meta Learning Kevin Zhang, Mingyang Xie, Maharshi Gor, Yi-Ting Chen, Yvonne Zhou, Christopher Metzler arXiv, 2022
[Paper]
Memory-efficient Learning for High-Dimensional MRI Reconstruction Ke Wang, Christopher Sandino, Michael Kellman, Kevin Zhang, Shreyas Vasanawala, Jonathan I. Tamir, Stella Yu, Michael Lustig MICCAI 2021
[Paper] [Code]
Memory-efficient Learning for Large-scale Computational Imaging Michael Kellman, Kevin Zhang, Eric Markley, Jonathan I. Tamir, Emrah Bostan, Michael Lustig, Laura Waller IEEE TCI 2020
[Paper] [Code]
Memory-Efficient Learning for Unrolled 3D MRI Reconstructions Kevin Zhang*, Michael Kellman*, Jonathan I. Tamir, Michael Lustig, Laura Waller ISMRM Workshop on Data Sampling and Reconstruction, 2020
[Paper] [Video]
3D fluorescence deconvolution with deep priors Kevin Zhang, Michael Kellman, Emrah Bostan, Laura Waller SPIE BiOS 2020
[Paper]

Side Projects


I also enjoy building small web apps to visualize algorithmic ideas. The source code for these projects is on my Github.


Site design inspired by Haozhi Qi orderedlist.