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Yunhan Zhao
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Domain decluttering: Simplifying images to mitigate synthetic-real domain shift and improve depth estimation
Y Zhao, S Kong, D Shin, C Fowlkes
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
402020
Camera pose matters: Improving depth prediction by mitigating pose distribution bias
Y Zhao, S Kong, C Fowlkes
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
262021
Geofill: Reference-based image inpainting with better geometric understanding
Y Zhao, C Barnes, Y Zhou, E Shechtman, S Amirghodsi, C Fowlkes
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
15*2023
A High-Resolution Dataset for Instance Detection with Multi-View Object Capture
Q Shen, Y Zhao, N Kwon, J Kim, Y Li, S Kong
Advances in Neural Information Processing Systems 36, 2024
12024
Resisting Large Data Variations via Introspective Transformation Network
Y Zhao, Y Tian, C Fowlkes, W Shen, A Yuille
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
12020
Instance Tracking in 3D Scenes from Egocentric Videos
Y Zhao, H Ma, S Kong, C Fowlkes
arXiv preprint arXiv:2312.04117, 2023
2023
Image reprojection and multi-image inpainting based on geometric depth parameters
Y Zhao, C Barnes, Z Yuqian, S Amirghodsi, E Shechtman
US Patent App. 17/520,361, 2023
2023
GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding–Supplementary Material–
Y Zhao, C Barnes, Y Zhou, E Shechtman, S Amirghodsi, C Fowlkes
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias–Supplementary Material–
Y Zhao, S Kong, C Fowlkes
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation–Supplementary Material–
Y Zhao, SKD Shin, C Fowlkes
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