12 citations · 24 across the 7 of their papers we have counts for
7 papers
FusedRF: Fusing Multiple Radiance Fields
Rahul Goel, Dhawal Sirikonda, Rajvi Shah +1
Radiance Fields (RFs) have shown great potential to represent scenes from casually captured discrete views. Compositing parts or whole of multiple captured scenes could greatly int…
Long-term Visual Map Sparsification with Heterogeneous GNN
Ming-Fang Chang, Yipu Zhao, Rajvi Shah +3
We address the problem of map sparsification for long-term visual localization. For map sparsification, a commonly employed assumption is that the pre-build map and the later captu…
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors
Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim +9
As autonomous driving and augmented reality evolve, a practical concern is data privacy. In particular, these applications rely on localization based on user images. The widely ado…
A Unified View-Graph Selection Framework for Structure from Motion
Rajvi Shah, Visesh Chari, P J Narayanan
View-graph is an essential input to large-scale structure from motion (SfM) pipelines. Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph. In…
Learning to Hash-tag Videos with Tag2Vec
Aditya Singh, Saurabh Saini, Rajvi Shah +1
User-given tags or labels are valuable resources for semantic understanding of visual media such as images and videos. Recently, a new type of labeling mechanism known as hash-tags…
From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips
Aditya Singh, Saurabh Saini, Rajvi Shah +1
Short internet video clips like vines present a significantly wild distribution compared to traditional video datasets. In this paper, we focus on the problem of unsupervised actio…
Multistage SFM: A Coarse-to-Fine Approach for 3D Reconstruction
Rajvi Shah, Aditya Deshpande, P J Narayanan
Several methods have been proposed for large-scale 3D reconstruction from large, unorganized image collections. A large reconstruction problem is typically divided into multiple co…