272 citations · 426 across the 17 of their papers we have counts for
8 papers · 1 filter
Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network
Shenbagaraj Kannapiran, Nalin Bendapudi, Ming-Yuan Yu +4
Robust feature matching forms the backbone for most Visual Simultaneous Localization and Mapping (vSLAM), visual odometry, 3D reconstruction, and Structure from Motion (SfM) algori…
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras
Zhengxia Zou, Rusheng Zhang, Shengyin Shen +4
We propose a novel and pragmatic framework for traffic scene perception with roadside cameras. The proposed framework covers a full-stack of roadside perception pipeline for infras…
Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles
Ashish Kumar, James R. McBride, Gaurav Pandey
We propose an end-to-end real time framework to generate high resolution graphics grade textured 3D map of urban environment. The generated detailed map finds its application in th…
Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps
Tom Roussel, Punarjay Chakravarty, Gaurav Pandey +2
We describe a Deep-Geometric Localizer that is able to estimate the full 6 Degree of Freedom (DoF) global pose of the camera from a single image in a previously mapped environment.…
Motion Guided LIDAR-camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles
Juan Castorena, Gint Puskorius, Gaurav Pandey
This work proposes a novel motion guided method for target-less self-calibration of a LiDAR and camera and use the re-projection of LiDAR points onto the image reference frame for…
Compact Environment-Invariant Codes for Robust Visual Place Recognition
Unnat Jain, Vinay P. Namboodiri, Gaurav Pandey
Robust visual place recognition (VPR) requires scene representations that are invariant to various environmental challenges such as seasonal changes and variations due to ambient l…
Learning to segment with image-level supervision
Gaurav Pandey, Ambedkar Dukkipati
Deep convolutional networks have achieved the state-of-the-art for semantic image segmentation tasks. However, training these networks requires access to densely labeled images, wh…
Variational methods for Conditional Multimodal Deep Learning
Gaurav Pandey, Ambedkar Dukkipati
In this paper, we address the problem of conditional modality learning, whereby one is interested in generating one modality given the other. While it is straightforward to learn a…