Multi-bid spectrum auctions in dynamic spectrum access networks with spatial reuse. - Nirat Saini; Mainak Chatterjee (COMSNETS, 2017)

Explicit Bias Discovery in Visual Question Answering Models. - Varun Manjunatha; Nirat Saini; Larry S. Davis (CVPR, 2019)

All About Knowledge Graphs for Actions. - Pallabi Ghosh; Nirat Saini; Larry S. Davis; Abhinav Shrivastava (CoRR, 2020)

Learning Graphs for Knowledge Transfer With Limited Labels. - Pallabi Ghosh; Nirat Saini; Larry S. Davis; Abhinav Shrivastava (CVPR, 2021)

Disentangling Visual Embeddings for Attributes and Objects. - Nirat Saini; Khoi Pham; Abhinav Shrivastava (CVPR, 2022)

Chop & Learn: Recognizing and Generating Object-State Compositions. - Nirat Saini; Hanyu Wang 002; Archana Swaminathan; Vinoj Jayasundara 001; Bo He 004; Kamal Gupta 002; Abhinav Shrivastava (ICCV, 2023)

Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning. - Nirat Saini; Khoi Pham; Abhinav Shrivastava (CVPR, 2024)

WayEx: Waypoint Exploration using a Single Demonstration. - Mara Levy; Nirat Saini; Abhinav Shrivastava (ICRA, 2024)

InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models. - Nirat Saini; Navaneeth Bodla; Ashish Shrivastava 001; Avinash Ravichandran; Xiao Zhang; Abhinav Shrivastava; Bharat Singh (CoRR, 2024)

Object-Attribute Compositionality for Visual Understanding. - Nirat Saini (2024)

Unified Framework for Open-World Compositional Zero-Shot Learning. - Hirunima Jayasekara; Khoi Pham; Nirat Saini; Abhinav Shrivastava (WACV, 2025)