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)

deepPIC: Deep Perceptual Image Clustering For Identifying Bias In Vision Datasets. - Nikita Jaipuria; Katherine Stevo; Xianling Zhang; Meghana L. Gaopande; Ian Calle Garcia; Jinesh Jain; Vidya N. Murali (CVPR Workshops, 2022)

SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision Tasks. - Xianling Zhang; Nathan Tseng; Ameerah Syed; Rohan Bhasin; Nikita Jaipuria (CVPR, 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)

LANe: Lighting-Aware Neural Fields for Compositional Scene Synthesis. - Akshay Krishnan; Amit Raj; Xianling Zhang; Alexandra Carlson; Nathan Tseng; Sandhya Sridhar; Nikita Jaipuria; James Hays (CoRR, 2023)

Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis. - Georgios Kouros; Minye Wu; Sushruth Nagesh; Xianling Zhang; Tinne Tuytelaars (CVPR Workshops, 2024)

Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing. - Marissa Ramirez de Chanlatte; Phillip Colella; Trevor Darrell; Alexandra Carlson; Peter H. N. de With; Huayu Deng; Shanyan Guan; James Hays; Tim Houben; Thomas Huisman; Nikita Jaipuria; Hans Johansen; et al. (WACV (Workshops), 2024)

LiHi-GS: LiDAR-Supervised Gaussian Splatting for Highway Driving Scene Reconstruction. - Pou-Chun Kung; Xianling Zhang; Katherine A. Skinner; Nikita Jaipuria (CoRR, 2024)