22 citations · 29 across the 13 of their papers we have counts for
6 papers · 1 filter
SNAP: Towards Segmenting Anything in Any Point Cloud
Aniket Gupta, Hanhui Wang, Charles Saunders +3
Interactive 3D point cloud segmentation enables efficient annotation of complex 3D scenes through user-guided prompts. However, current approaches are typically restricted in scope…
NeuFlow v2: Push High-Efficiency Optical Flow To the Limit
Zhiyong Zhang, Aniket Gupta, Huaizu Jiang +1
Real-time high-accuracy optical flow estimation is critical for a variety of real-world robotic applications. However, current learning-based methods often struggle to balance accu…
Towards Long Term SLAM on Thermal Imagery
Colin Keil, Aniket Gupta, Pushyami Kaveti +1
Visual SLAM with thermal imagery, and other low contrast visually degraded environments such as underwater, or in areas dominated by snow and ice, remain a difficult problem for ma…
NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots Using Edge Devices
Zhiyong Zhang, Huaizu Jiang, Hanumant Singh
Real-time high-accuracy optical flow estimation is a crucial component in various applications, including localization and mapping in robotics, object tracking, and activity recogn…
A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching
Aniket Gupta, Yiming Xie, Hanumant Singh +1
Deep neural networks endow the downsampled superpoints with highly discriminative feature representations. Previous dominant point cloud registration approaches match these feature…
Bayesian Decision Making to Localize Visual Queries in 2D
Syed Asjad, Aniket Gupta, Hanumant Singh
This report describes our approach for the EGO4D 2023 Visual Query 2D Localization Challenge. Our method aims to reduce the number of False Positives (FP) that occur because of hig…