no code implementations • 13 Jun 2024 • Meng-Li Shih, Jia-Bin Huang, Changil Kim, Rajvi Shah, Johannes Kopf, Chen Gao
We introduce a novel method for dynamic free-view synthesis of an ambient scenes from a monocular capture bringing a immersive quality to the viewing experience.
no code implementations • CVPR 2024 • Jaehoon Choi, Rajvi Shah, Qinbo Li, Yipeng Wang, Ayush Saraf, Changil Kim, Jia-Bin Huang, Dinesh Manocha, Suhib Alsisan, Johannes Kopf
We validate the effectiveness of the proposed method on large unbounded scenes from mip-NeRF 360 Tanks & Temples and Deep Blending datasets achieving at-par rendering quality with 73x reduced triangles and 11x reduction in memory footprint.
no code implementations • 7 Jun 2023 • Rahul Goel, Dhawal Sirikonda, Rajvi Shah, PJ Narayanan
The fused RF has the same render times and memory utilizations as a single RF.
no code implementations • CVPR 2022 • Ming-Fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey
We address the problem of map sparsification for long-term visual localization.
no code implementations • 9 May 2021 • Deeksha Dangwal, Vincent T. Lee, Hyo Jin Kim, Tianwei Shen, Meghan Cowan, Rajvi Shah, Caroline Trippel, Brandon Reagen, Timothy Sherwood, Vasileios Balntas, Armin Alaghi, Eddy Ilg
This poses a potential risk to user privacy.
no code implementations • ECCV 2018 • Rajvi Shah, Visesh Chari, P. J. Narayanan
Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph.
no code implementations • 3 Aug 2017 • Rajvi Shah, Visesh Chari, P. J. Narayanan
Accuracy and efficiency of large-scale SfM is crucially dependent on the input view-graph.
no code implementations • 13 Dec 2016 • Aditya Singh, Saurabh Saini, Rajvi Shah, PJ Narayanan
In this paper, we study the problem of generating relevant and useful hash-tags for short video clips.
no code implementations • 18 Oct 2016 • Aditya Singh, Saurabh Saini, Rajvi Shah, P. J. Narayanan
In this paper, we focus on the problem of unsupervised action classification in wild vines using traditional labeled datasets.
no code implementations • 19 Dec 2015 • Rajvi Shah, Aditya Deshpande, P. J. Narayanan
We present a multistage approach for SFM reconstruction of a single component that breaks the sequential nature of the incremental SFM methods.