Shubham Shrivastava

According to our database, Shubham Shrivastava authored at least 15 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars

CoRR, 2023

Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization.

Stephen Hausler, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford

IROS, 2023

DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions.

Stephen Hausler, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford

IROS, 2023

DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets.

Shubham Shrivastava, Xianling Zhang, Sushruth Nagesh, Armin Parchami

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera Systems.

Stephen Hausler, Ming Xu, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford

IEEE Robotics Autom. Lett., 2022

QAGAN: Adversarial Approach To Learning Domain Invariant Language Features.

Shubham Shrivastava, Kaiyue Wang

CoRR, 2022

Propagating State Uncertainty Through Trajectory Forecasting.

Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, Marco Pavone

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation.

Georgios Kouros, Shubham Shrivastava, Cédric Picron, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Dense Depth Reconstruction.

Shubham Shrivastava

CoRR, 2021

Meta-Regularization by Enforcing Mutual-Exclusiveness.

Edwin Pan, Pankaj Rajak, Shubham Shrivastava

CoRR, 2021

S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization.

Mokshith Voodarla, Shubham Shrivastava, Sagar Manglani, Ankit Vora, Siddharth Agarwal, Punarjay Chakravarty

CoRR, 2021

An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation.

Kaushik Balakrishnan, Punarjay Chakravarty, Shubham Shrivastava

CoRR, 2021

2020

Sim2Real for Self-Supervised Monocular Depth and Segmentation.

Nithin Raghavan, Punarjay Chakravarty, Shubham Shrivastava

CoRR, 2020

CubifAE-3D: Monocular Camera Space Cubification on Autonomous Vehicles for Auto-Encoder based 3D Object Detection.

Shubham Shrivastava, Punarjay Chakravarty

CoRR, 2020

Deflating Dataset Bias Using Synthetic Data Augmentation.

Nikita Jaipuria, Xianling Zhang, Rohan Bhasin, Mayar Arafa, Punarjay Chakravarty, Shubham Shrivastava, Sagar Manglani, Vidya N. Murali

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020