loadpatents
name:-0.015501976013184
name:-0.0096681118011475
name:-0.01016092300415
Kehl; Wadim Patent Filings

Kehl; Wadim

Patent Applications and Registrations

Patent applications and USPTO patent grants for Kehl; Wadim.The latest application filed is for "system and method for training an adapter network to improve transferability to real-world datasets".

Company Profile
15.10.14
  • Kehl; Wadim - Tokyo JP
  • Kehl; Wadim - Munich DE
  • Kehl; Wadim - Mountain View CA
  • Kehl; Wadim - San Francisco CA
  • KEHL; Wadim - Munchen DE
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Patent Activity
PatentDate
System And Method For Training An Adapter Network To Improve Transferability To Real-world Datasets
App 20220300770 - Zakharov; Sergey ;   et al.
2022-09-22
Method and system for processing an image and determining viewpoints of objects
Grant 11,335,024 - Meier , et al. May 17, 2
2022-05-17
Variational 3D object detection
Grant 11,302,028 - Yao , et al. April 12, 2
2022-04-12
Inferring locations of 3D objects in a spatial environment
Grant 11,276,230 - Kehl , et al. March 15, 2
2022-03-15
Method And System For Processing An Image And Determining Viewpoints Of Objects
App 20210374988 - MEIER; Sven ;   et al.
2021-12-02
Sensor Self-calibration In The Wild By Coupling Object Detection And Analysis-by-synthesis
App 20210166428 - Kehl; Wadim
2021-06-03
3d Auto-labeling With Structural And Physical Constraints
App 20210150231 - KEHL; Wadim ;   et al.
2021-05-20
Systems And Methods For 3d Object Detection
App 20210149022 - Kehl; Wadim ;   et al.
2021-05-20
System and method for lifting 3D representations from monocular images
Grant 11,010,592 - Kehl , et al. May 18, 2
2021-05-18
Variational 3d Object Detection
App 20210134002 - YAO; Yu ;   et al.
2021-05-06
System and method for generating training data from synthetic images
Grant 10,915,787 - Kehl February 9, 2
2021-02-09
Inferring Locations Of 3d Objects In A Spatial Environment
App 20210005018 - KEHL; Wadim ;   et al.
2021-01-07
System and method for 3D scene reconstruction of agent operation sequences using low-level/high-level reasoning and parametric models
Grant 10,845,818 - Kehl November 24, 2
2020-11-24
Virtually boosted training
Grant 10,817,752 - Kehl , et al. October 27, 2
2020-10-27
Inferring locations of 3D objects in a spatial environment
Grant 10,810,792 - Kehl , et al. October 20, 2
2020-10-20
Method and system for scanning an object using an RGB-D sensor
Grant 10,755,433 - Wasik , et al. A
2020-08-25
Method and apparatus for a manifold view of space
Grant 10,679,099 - Kehl , et al.
2020-06-09
System And Method For Generating Training Data From Synthetic Images
App 20200160105 - Kehl; Wadim
2020-05-21
System And Method For Lifting 3d Representations From Monocular Images
App 20200160033 - Kehl; Wadim ;   et al.
2020-05-21
System And Method For 3d Scene Reconstruction Of Agent Operation Sequences Using Low-level/high-level Reasoning And Parametric M
App 20200033880 - KEHL; Wadim
2020-01-30
Inferring Locations Of 3d Objects In A Spatial Environment
App 20190371052 - KEHL; Wadim ;   et al.
2019-12-05
Virtually Boosted Training
App 20190370606 - KEHL; Wadim ;   et al.
2019-12-05
Method And Apparatus For A Manifold View Of Space
App 20190347515 - KEHL; Wadim ;   et al.
2019-11-14
Method And System For Scanning An Object Using An Rgb-d Sensor
App 20170287162 - WASIK; Zbigniew ;   et al.
2017-10-05

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.

© 2024 USPTO.report | Privacy Policy | Resources | RSS Feed of Trademarks | Trademark Filings Twitter Feed