6 citations · 31 across the 25 of their papers we have counts for
27 papers
Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction
Georgios Kouros, Minye Wu, Shubham Shrivastava +3
Neural Radiance Fields (NeRFs) have revolutionized the field of novel view synthesis, demonstrating remarkable performance. However, the modeling and rendering of reflective object…
DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions
Stephen Hausler, Sourav Garg, Punarjay Chakravarty +3
Can knowing where you are assist in perceiving objects in your surroundings, especially under adverse weather and lighting conditions? In this work we investigate whether a prior m…
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization
Stephen Hausler, Sourav Garg, Punarjay Chakravarty +3
Most 6-DoF localization and SLAM systems use static landmarks but ignore dynamic objects because they cannot be usefully incorporated into a typical pipeline. Where dynamic objects…
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…
Look Both Ways: Bidirectional Visual Sensing for Automatic Multi-Camera Registration
Subodh Mishra, Sushruth Nagesh, Sagar Manglani +3
This work describes the automatic registration of a large network (approximately 40) of fixed, ceiling-mounted environment cameras spread over a large area (approximately 800 squar…
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation
Georgios Kouros, Shubham Shrivastava, Cédric Picron +3
Pose estimation is usually tackled as either a bin classification or a regression problem. In both cases, the idea is to directly predict the pose of an object. This is a non-trivi…