Research Output per year
Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 12 Similar Profiles
Neural networks
Engineering & Materials Science
Detectors
Engineering & Materials Science
Semantics
Engineering & Materials Science
Pixels
Engineering & Materials Science
Data storage equipment
Engineering & Materials Science
Navigation
Engineering & Materials Science
Computer vision
Engineering & Materials Science
Program Verification
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2012 2019
Learning exploration policies for navigation
Chen, T., Gupta, S. & Gupta, A., Jan 1 2019.Research output: Contribution to conference › Paper
Navigation
reward
Data storage equipment
Geometry
Sensors
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data
Danielczuk, M., Matl, M., Gupta, S., Li, A., Lee, A., Mahler, J. & Goldberg, K., May 2019, p. 7283-7290.Research output: Contribution to conference › Paper
Masks
Robots
Bins
Data transfer
Computer vision
Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene
Tulsiani, S., Gupta, S., Fouhey, D., Efrosefros, A. A. & Malik, J., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 302-310 9 p. 8578137. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Neural networks
Experiments
Visual memory for robust path following
Kumar, A., Gupta, S., Fouhey, D., Levine, S. & Malik, J., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 765-774 10 p.Research output: Contribution to journal › Conference article
Demonstrations
Simulators
Data storage equipment
Experiments
Uncertainty
Cognitive mapping and planning for visual navigation
Gupta, S., Davidson, J., Levine, S., Sukthankar, R. & Malik, J., Nov 6 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. Institute of Electrical and Electronics Engineers Inc., p. 7272-7281 10 p. (Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017; vol. 2017-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Navigation
Data storage equipment
Planning
Neural networks
Experiments