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Deep Optics for Monocular Depth Estimation and 3D Object Detection

Deep Optics for Monocular Depth Estimation and 3D Object Detection

18 April 2019
Julie Chang
Gordon Wetzstein
    MDE
    3DPC
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Papers citing "Deep Optics for Monocular Depth Estimation and 3D Object Detection"

28 / 28 papers shown
Title
Minimalist Vision with Freeform Pixels
Jeremy Klotz
Shree K. Nayar
57
3
0
03 Jan 2025
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration
D. Wolf
Alexander Braun
Markus Ulrich
89
0
0
18 Dec 2024
Depth from Coupled Optical Differentiation
Depth from Coupled Optical Differentiation
Junjie Luo
Yuxuan Liu
Emma Alexander
Qi Guo
35
3
0
16 Sep 2024
Latent Space Imaging
Latent Space Imaging
Matheus Souza
Yidan Zheng
Kaizhang Kang
Yogeshwar Nath Mishra
Qiang Fu
Wolfgang Heidrich
57
0
0
09 Jul 2024
SpectralZoom: Efficient Segmentation with an Adaptive Hyperspectral
  Camera
SpectralZoom: Efficient Segmentation with an Adaptive Hyperspectral Camera
Jackson Arnold
Sophia Rossi
Chloe Petrosino
Ethan Mitchell
Sanjeev J. Koppal
36
0
0
06 Jun 2024
oTTC: Object Time-to-Contact for Motion Estimation in Autonomous Driving
oTTC: Object Time-to-Contact for Motion Estimation in Autonomous Driving
Abdul Hannan Khan
Syed Tahseen Raza Rizvi
Dheeraj Varma Chittari Macharavtu
Andreas Dengel
41
0
0
13 May 2024
Deep Phase Coded Image Prior
Deep Phase Coded Image Prior
Nimrod Shabtay
Eli Schwartz
Raja Giryes
41
0
0
05 Apr 2024
Depolarized Holography with Polarization-multiplexing Metasurface
Depolarized Holography with Polarization-multiplexing Metasurface
Seung-Woo Nam
Youngjin Kim
Dong-Yon Kim
Yoonchan Jeong
16
11
0
26 Sep 2023
Schrödinger's Camera: First Steps Towards a Quantum-Based Privacy
  Preserving Camera
Schrödinger's Camera: First Steps Towards a Quantum-Based Privacy Preserving Camera
Hannah Kirkland
S. Koppal
19
1
0
13 Mar 2023
Depth Estimation and Image Restoration by Deep Learning from Defocused
  Images
Depth Estimation and Image Restoration by Deep Learning from Defocused Images
Saqib Nazir
Lorenzo Vaquero
M. Mucientes
V. Brea
D. Coltuc
3DV
MDE
34
11
0
21 Feb 2023
Curriculum Learning for ab initio Deep Learned Refractive Optics
Curriculum Learning for ab initio Deep Learned Refractive Optics
Xinge Yang
Q. Fu
Wolfgang Heidrich
15
19
0
02 Feb 2023
3D Scene Inference from Transient Histograms
3D Scene Inference from Transient Histograms
Sacha Jungerman
Atul Ingle
Yin Li
Mohit Gupta
16
6
0
09 Nov 2022
DAD vision: opto-electronic co-designed computer vision with division
  adjoint method
DAD vision: opto-electronic co-designed computer vision with division adjoint method
Zihan Zang
Hao Wang
Yunpeng Xu
24
0
0
04 Nov 2022
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for
  Task-Specific Imaging
Physics vs. Learned Priors: Rethinking Camera and Algorithm Design for Task-Specific Imaging
Tzofi Klinghoffer
S. Somasundaram
Kushagra Tiwary
Ramesh Raskar
21
8
0
21 Apr 2022
Learning Spatially Varying Pixel Exposures for Motion Deblurring
Learning Spatially Varying Pixel Exposures for Motion Deblurring
Cindy M. Nguyen
Julien N. P. Martel
Gordon Wetzstein
14
16
0
14 Apr 2022
Video Reconstruction from a Single Motion Blurred Image using Learned
  Dynamic Phase Coding
Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding
E. Yosef
Shay Elmalem
Raja Giryes
27
5
0
28 Dec 2021
Computational Imaging and Artificial Intelligence: The Next Revolution
  of Mobile Vision
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
J. Suo
Weihang Zhang
Jin Gong
Xin Yuan
D. Brady
Qionghai Dai
43
23
0
18 Sep 2021
A Simple Framework for 3D Lensless Imaging with Programmable Masks
A Simple Framework for 3D Lensless Imaging with Programmable Masks
Yucheng Zheng
Yi Hua
Aswin C. Sankaranarayanan
M. Salman Asif
14
9
0
18 Aug 2021
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo
Shiyu Tan
Yichen Wu
Shoou-I Yu
Ashok Veeraraghavan
28
16
0
09 Apr 2021
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and
  Pixel Exposures for Compressive Imaging Systems
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems
Edwin Vargas
Julien N. P. Martel
Gordon Wetzstein
Henry Arguello
8
23
0
06 Apr 2021
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
Brevin Tilmon
S. Koppal
MDE
30
5
0
24 Mar 2021
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable
  Exposure Times
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times
Omer Dahary
M. Jacoby
A. Bronstein
11
5
0
08 Dec 2020
Polka Lines: Learning Structured Illumination and Reconstruction for
  Active Stereo
Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo
Seung-Hwan Baek
Felix Heide
3DV
14
28
0
26 Nov 2020
Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics
Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics
Seung-Hwan Baek
H. Ikoma
D. S. Jeon
Yuqi Li
Wolfgang Heidrich
Gordon Wetzstein
Min H. Kim
MDE
6
79
0
01 Sep 2020
Exploring the Capabilities and Limits of 3D Monocular Object Detection
  -- A Study on Simulation and Real World Data
Exploring the Capabilities and Limits of 3D Monocular Object Detection -- A Study on Simulation and Real World Data
Felix Nobis
Fabian Brunhuber
Simon Janssen
Johannes Betz
Markus Lienkamp
3DPC
32
4
0
15 May 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
11
520
0
12 May 2020
Physics-enhanced machine learning for virtual fluorescence microscopy
Physics-enhanced machine learning for virtual fluorescence microscopy
Colin L. Cooke
Fanjie Kong
A. Chaware
Kevin C Zhou
Kanghyun Kim
Rong Xu
D. Ando
Samuel J. Yang
P. C. Konda
R. Horstmeyer
AI4CE
30
17
0
09 Apr 2020
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
200
1,708
0
06 Jun 2018
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