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Diana Wofk
Diana Wofk
Intel Labs
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
Fastdepth: Fast monocular depth estimation on embedded systems
D Wofk, F Ma, TJ Yang, S Karaman, V Sze
2019 International Conference on Robotics and Automation (ICRA), 6101-6108, 2019
3182019
Zoedepth: Zero-shot transfer by combining relative and metric depth
SF Bhat, R Birkl, D Wofk, P Wonka, M Müller
arXiv preprint arXiv:2302.12288, 2023
892023
MiDaS v3. 1--A Model Zoo for Robust Monocular Relative Depth Estimation
R Birkl, D Wofk, M Müller
arXiv preprint arXiv:2307.14460, 2023
132023
LDM3D: Latent Diffusion Model for 3D
GBM Stan, D Wofk, S Fox, A Redden, W Saxton, J Yu, E Aflalo, SY Tseng, ...
arXiv preprint arXiv:2305.10853, 2023
122023
Monocular Visual-Inertial Depth Estimation
D Wofk, R Ranftl, M Müller, V Koltun
arXiv preprint arXiv:2303.12134, 2023
62023
Real time salient object detection in images and videos
Z Su, M Mueller, D Wofk, L Liu
US Patent App. 18/458,093, 2023
2023
LDM3D-VR: Latent Diffusion Model for 3D VR
GBM Stan, D Wofk, E Aflalo, SY Tseng, Z Cai, M Paulitsch, V Lal
arXiv preprint arXiv:2311.03226, 2023
2023
LDM3D-VR: Latent Diffusion Model for 3D VR
G Ben Melech Stan, D Wofk, E Aflalo, SY Tseng, Z Cai, M Paulitsch, V Lal
arXiv e-prints, arXiv: 2311.03226, 2023
2023
LDM3D: Latent Diffusion Model for 3D
G Ben Melech Stan, D Wofk, S Fox, A Redden, W Saxton, J Yu, E Aflalo, ...
arXiv e-prints, arXiv: 2305.10853, 2023
2023
Methods and apparatus for metric depth estimation using a monocular visual-inertial system
D Wofk, R Ranftl, M Mueller, V Koltun
US Patent App. 17/855,330, 2022
2022
Fast and energy-efficient monocular depth estimation on embedded systems
D Wofk
Massachusetts Institute of Technology, 2020
2020
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