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ORCIDShubham Shrivastava
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Journal Articles
- 2022
[j1]Stephen Hausler
, Ming Xu, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford:
Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera Systems. IEEE Robotics Autom. Lett. 7(4): 10112-10119 (2022)
Conference and Workshop Papers
- 2023
- [c6]Shubham Shrivastava, Xianling Zhang, Sushruth Nagesh, Armin Parchami:
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets. ICCV (Workshops) 2023: 4419-4428 - [c5]Stephen Hausler, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford:
DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions. IROS 2023: 1373-1380 - [c4]Stephen Hausler, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford:
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization. IROS 2023: 5258-5265 - 2022
- [c3]Georgios Kouros, Shubham Shrivastava, Cédric Picron, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars:
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation. BMVC 2022: 26 - [c2]Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, Marco Pavone:
Propagating State Uncertainty Through Trajectory Forecasting. ICRA 2022: 2351-2358 - 2020
- [c1]Nikita Jaipuria, Xianling Zhang, Rohan Bhasin, Mayar Arafa, Punarjay Chakravarty, Shubham Shrivastava, Sagar Manglani, Vidya N. Murali:
Deflating Dataset Bias Using Synthetic Data Augmentation. CVPR Workshops 2020: 3344-3353
Informal and Other Publications
- 2023
- [i15]Stephen Hausler, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford:
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization. CoRR abs/2306.17529 (2023) - [i14]Stephen Hausler, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford:
DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions. CoRR abs/2306.17536 (2023) - [i13]Georgios Kouros, Minye Wu, Shubham Shrivastava, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars:
Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction. CoRR abs/2308.08530 (2023) - [i12]Shubham Shrivastava, Xianling Zhang, Sushruth Nagesh, Armin Parchami:
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets. CoRR abs/2308.09878 (2023) - 2022
- [i11]Shubham Shrivastava, Kaiyue Wang:
QAGAN: Adversarial Approach To Learning Domain Invariant Language Features. CoRR abs/2206.12388 (2022) - [i10]Stephen Hausler, Ming Xu, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford:
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems. CoRR abs/2206.13883 (2022) - [i9]Georgios Kouros, Shubham Shrivastava, Cédric Picron, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars:
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation. CoRR abs/2208.06195 (2022) - 2021
- [i8]Kaushik Balakrishnan, Punarjay Chakravarty, Shubham Shrivastava:
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation. CoRR abs/2101.01774 (2021) - [i7]Mokshith Voodarla, Shubham Shrivastava, Sagar Manglani, Ankit Vora, Siddharth Agarwal, Punarjay Chakravarty:
S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization. CoRR abs/2101.09569 (2021) - [i6]Edwin Pan, Pankaj Rajak, Shubham Shrivastava:
Meta-Regularization by Enforcing Mutual-Exclusiveness. CoRR abs/2101.09819 (2021) - [i5]Shubham Shrivastava:
VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Dense Depth Reconstruction. CoRR abs/2104.05932 (2021) - [i4]Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, Marco Pavone:
Propagating State Uncertainty Through Trajectory Forecasting. CoRR abs/2110.03267 (2021) - 2020
- [i3]Nikita Jaipuria, Xianling Zhang, Rohan Bhasin, Mayar Arafa, Punarjay Chakravarty, Shubham Shrivastava, Sagar Manglani, Vidya N. Murali:
Deflating Dataset Bias Using Synthetic Data Augmentation. CoRR abs/2004.13866 (2020) - [i2]Shubham Shrivastava, Punarjay Chakravarty:
CubifAE-3D: Monocular Camera Space Cubification on Autonomous Vehicles for Auto-Encoder based 3D Object Detection. CoRR abs/2006.04080 (2020) - [i1]Nithin Raghavan, Punarjay Chakravarty, Shubham Shrivastava:
Sim2Real for Self-Supervised Monocular Depth and Segmentation. CoRR abs/2012.00238 (2020)
Coauthor Index
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