Praveen Narayanan

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 14

Top Topics

Simultaneous Localization And Mapping

Monocular Camera

Probabilistic Inference

Generative Model

Top Venues

Proc. ACM Program. Lang.

Publications

Hongjiang Li, Huanyi Shui, Alemayehu Admasu, Praveen Narayanan, Devesh Upadhyay
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup. CoRR (2022)
Yunfei Long, Daniel D. Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan
Full-Velocity Radar Returns by Radar-Camera Fusion. CoRR (2021)
Yunfei Long, Daniel D. Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan
Full-Velocity Radar Returns by Radar-Camera Fusion. ICCV (2021)
Yunfei Long, Daniel Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan
Radar-Camera Pixel Depth Association for Depth Completion. CVPR (2021)
Yunfei Long, Daniel D. Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan
Radar-Camera Pixel Depth Association for Depth Completion. CoRR (2021)
Nikita Jaipuria, Shubh Gupta, Praveen Narayanan, Vidya N. Murali
On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation. CoRR (2020)
Praveen Narayanan, Chung-chieh Shan
Symbolic Disintegration with a Variety of Base Measures. ACM Trans. Program. Lang. Syst. 42 (2) (2020)
Punarjay Chakravarty, Praveen Narayanan, Tom Roussel
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping. ICRA (2019)
Rajan Walia, Praveen Narayanan, Jacques Carette, Sam Tobin-Hochstadt, Chung-chieh Shan
From high-level inference algorithms to efficient code. Proc. ACM Program. Lang. 3 (ICFP) (2019)
Praveen Narayanan, Punarjay Chakravarty, François Charette, Gint Puskorius
Hierarchical Sequence to Sequence Voice Conversion with Limited Data. CoRR (2019)
Punarjay Chakravarty, Praveen Narayanan, Tom Roussel
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping. CoRR (2019)
Rajan Walia, Jacques Carette, Praveen Narayanan, Chung-chieh Shan, Sam Tobin-Hochstadt
Efficient compilation of array probabilistic programs. CoRR (2018)
Praveen Narayanan, Chung-chieh Shan
Symbolic conditioning of arrays in probabilistic programs. Proc. ACM Program. Lang. 1 (ICFP) (2017)
Praveen Narayanan, Jacques Carette, Wren Romano, Chung-chieh Shan, Robert Zinkov
Probabilistic Inference by Program Transformation in Hakaru (System Description). FLOPS (2016)