Brandon Yushan Feng

According to our database, Brandon Yushan Feng authored at least 20 papers between 2020 and 2024.

Collaborative distances:

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

2024

Neural Subspaces for Light Fields.

Brandon Yushan Feng, Amitabh Varshney

IEEE Trans. Vis. Comput. Graph., March, 2024

TimeRewind: Rewinding Time with Image-and-Events Video Diffusion.

Jingxi Chen, Brandon Y. Feng, Haoming Cai, Mingyang Xie, Christopher A. Metzler, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2024

Endora: Video Generation Models as Endoscopy Simulators.

Chenxin Li, Hengyu Liu, Yifan Liu, Brandon Y. Feng, Wuyang Li, Xinyu Liu, Zhen Chen, Jing Shao, Yixuan Yuan

CoRR, 2024

2023

Towards Immersive Visual Content with Machine Learning.

Brandon Yushan Feng

PhD thesis, 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

Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation.

Yihan Wu, Brandon Y. Feng, Heng Huang

CoRR, 2023

Seeing the World through Your Eyes.

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

CoRR, 2023

Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images.

Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang

CoRR, 2023

View Correspondence Network for Implicit Light Field Representation.

Süleyman Aslan, Brandon Yushan Feng, Amitabh Varshney

CoRR, 2023

StegaNeRF: Embedding Invisible Information within Neural Radiance Fields.

Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang

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

3D Motion Magnification: Visualizing Subtle Motions with Time-Varying Radiance Fields.

Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-Bin Huang

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

Continuous Levels of Detail for Light Field Networks.

David Li, Brandon Yushan Feng, Amitabh Varshney

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution With Applications to Imaging Through Turbulence.

Brandon Y. Feng, Mingyang Xie, Christopher A. Metzler

IEEE J. Sel. Areas Inf. Theory, September, 2022

VIINTER: View Interpolation with Implicit Neural Representations of Images.

Brandon Yushan Feng, Susmija Jabbireddy, Amitabh Varshney

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

PRIF: Primary Ray-Based Implicit Function.

Brandon Yushan Feng, Yinda Zhang, Danhang Tang, Ruofei Du, Amitabh Varshney

Proceedings of the Computer Vision - ECCV 2022, 2022

Imaging Through Turbulence with GANs.

Brandon Y. Feng, Mingyang Xie, Christopher A. Metzler

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching.

Tahseen Rabbani, Brandon Yushan Feng, Yifan Yang, Arjun Rajkumar, Amitabh Varshney, Furong Huang

CoRR, 2021

GazeChat: Enhancing Virtual Conferences with Gaze-aware 3D Photos.

Zhenyi He, Keru Wang, Brandon Yushan Feng, Ruofei Du, Ken Perlin

Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

SIGNET: Efficient Neural Representation for Light Fields.

Brandon Yushan Feng, Amitabh Varshney

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deep Depth Estimation on 360° Images with a Double Quaternion Loss.

Brandon Yushan Feng, Wangjue Yao, Zheyuan Liu, Amitabh Varshney

Proceedings of the 8th International Conference on 3D Vision, 2020