6 citations · 20 across the 10 of their papers we have counts for
11 papers · 1 filter
FQDet: Fast-converging Query-based Detector
Cédric Picron, Punarjay Chakravarty, Tinne Tuytelaars
Recently, two-stage Deformable DETR introduced the query-based two-stage head, a new type of two-stage head different from the region-based two-stage heads of classical detectors 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…
S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization
Mokshith Voodarla, Shubham Shrivastava, Sagar Manglani +3
We describe a light-weight, weather and lighting invariant, Semantic Bird's Eye View (S-BEV) signature for vision-based vehicle re-localization. A topological map of S-BEV signatur…
Sim2Real for Self-Supervised Monocular Depth and Segmentation
Nithin Raghavan, Punarjay Chakravarty, Shubham Shrivastava
Image-based learning methods for autonomous vehicle perception tasks require large quantities of labelled, real data in order to properly train without overfitting, which can often…
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector
Cédric Picron, Punarjay Chakravarty, Tom Roussel +1
The estimation of the orientation of an observed vehicle relative to an Autonomous Vehicle (AV) from monocular camera data is an important building block in estimating its 6 DoF po…