Vision: A Deep Learning Approach to provide walking assistance to the visually impaired. - Nikhil Thakurdesai; Anupam Tripathi; Dheeraj Butani; Smita Sankhe (CoRR, 2019)

Error Diagnosis of Deep Monocular Depth Estimation Models. - Jagpreet Chawla; Nikhil Thakurdesai; Anuj Godase; Md. Alimoor Reza; David J. Crandall; Soon-Heung Jung (IROS, 2021)

Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs. - Najmeh Forouzandehmehr; Yijie Cao; Nikhil Thakurdesai; Ramin Giahi; Luyi Ma; Nima Farrokhsiar; Jianpeng Xu; Evren Körpeoglu; Kannan Achan (IEEE Big Data, 2023)

LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing. - Luyi Ma; Nikhil Thakurdesai; Jiao Chen 005; Jianpeng Xu; Evren Körpeoglu; Sushant Kumar; Kannan Achan (IEEE Big Data, 2023)

Few-Shot Segmentation and Semantic Segmentation for Underwater Imagery. - Imran Kabir; Shubham Shaurya; Vijayalaxmi Maigur; Nikhil Thakurdesai; Mahesh Latnekar; Mayank Raunak; David J. Crandall; Md. Alimoor Reza (IROS, 2023)

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. - Jiao Chen 005; Luyi Ma; Xiaohan Li 001; Nikhil Thakurdesai; Jianpeng Xu; Jason H. D. Cho; Kaushiki Nag; Evren Körpeoglu; Sushant Kumar; Kannan Achan (CoRR, 2023)

On the special role of class-selective neurons in early training. - Omkar Ranadive; Nikhil Thakurdesai; Ari S. Morcos; Matthew L. Leavitt; Stéphane Deny (Trans. Mach. Learn. Res., 2023)