Deflating Dataset Bias Using Synthetic Data Augmentation. - Nikita Jaipuria; Xianling Zhang; Rohan Bhasin; Mayar Arafa; Punarjay Chakravarty; Shubham Shrivastava; Sagar Manglani; Vidya N. Murali (CVPR Workshops, 2020)

CubifAE-3D: Monocular Camera Space Cubification on Autonomous Vehicles for Auto-Encoder based 3D Object Detection. - Shubham Shrivastava; Punarjay Chakravarty (CoRR, 2020)

Sim2Real for Self-Supervised Monocular Depth and Segmentation. - Nithin Raghavan; Punarjay Chakravarty; Shubham Shrivastava (CoRR, 2020)

An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation. - Kaushik Balakrishnan; Punarjay Chakravarty; 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)

Meta-Regularization by Enforcing Mutual-Exclusiveness. - Edwin Pan; Pankaj Rajak; Shubham Shrivastava (CoRR, 2021)

VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Dense Depth Reconstruction. - Shubham Shrivastava (CoRR, 2021)

Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation. - Georgios Kouros; Shubham Shrivastava; Cédric Picron; Sushruth Nagesh; Punarjay Chakravarty; Tinne Tuytelaars (BMVC, 2022)

Propagating State Uncertainty Through Trajectory Forecasting. - Boris Ivanovic; Yifeng Lin; Shubham Shrivastava; Punarjay Chakravarty; Marco Pavone 001 (ICRA, 2022)

QAGAN: Adversarial Approach To Learning Domain Invariant Language Features. - Shubham Shrivastava; Kaiyue Wang (CoRR, 2022)

Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera Systems. - Stephen Hausler; Ming Xu 015; Sourav Garg; Punarjay Chakravarty; Shubham Shrivastava; Ankit Vora; Michael Milford (IEEE Robotics Autom. Lett., 2022)

DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets. - Shubham Shrivastava; Xianling Zhang; Sushruth Nagesh; Armin Parchami (ICCV (Workshops), 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)

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)

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)

Methods and Apparatus to Support Multiple Synchronous Clocks with a Single Clock Mesh. - Shubham Shrivastava; Sainath Kartik Yeshagol; Harry Linzer (ATS, 2024)

ML-Based Analysis on a Live Video Feed. - Richa Sharma; Krishan Bansal; Yogesh Sharma; Shubham Shrivastava (IC3I, 2024)