5 citations · 9 across the 6 of their papers we have counts for
7 papers
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup
Hongjiang Li, Huanyi Shui, Alemayehu Admasu +2
Image classification with deep neural networks has seen a surge of technological breakthroughs with promising applications in areas such as face recognition, medical imaging, and a…
Full-Velocity Radar Returns by Radar-Camera Fusion
Yunfei Long, Daniel Morris, Xiaoming Liu +3
A distinctive feature of Doppler radar is the measurement of velocity in the radial direction for radar points. However, the missing tangential velocity component hampers object ve…
Radar-Camera Pixel Depth Association for Depth Completion
Yunfei Long, Daniel Morris, Xiaoming Liu +3
While radar and video data can be readily fused at the detection level, fusing them at the pixel level is potentially more beneficial. This is also more challenging in part due to…
On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation
Nikita Jaipuria, Shubh Gupta, Praveen Narayanan +1
Generative Adversarial Networks (GANs) are now widely used for photo-realistic image synthesis. In applications where a simulated image needs to be translated into a realistic imag…
Hierarchical Sequence to Sequence Voice Conversion with Limited Data
Praveen Narayanan, Punarjay Chakravarty, Francois Charette +1
We present a voice conversion solution using recurrent sequence to sequence modeling for DNNs. Our solution takes advantage of recent advances in attention based modeling in the fi…
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping
Punarjay Chakravarty, Praveen Narayanan, Tom Roussel
We present a Deep Learning based system for the twin tasks of localization and obstacle avoidance essential to any mobile robot. Our system learns from conventional geometric SLAM,…