Grounding Linguistic Commands to Navigable Regions. - Nivedita Rufus; Kanishk Jain; Unni Krishnan R. Nair; Vineet Gandhi; K. Madhava Krishna (IROS, 2021)

Comprehensive Multi-Modal Interactions for Referring Image Segmentation. - Kanishk Jain; Vineet Gandhi (ACL (Findings), 2022)

Ground then Navigate: Language-guided Navigation in Dynamic Scenes. - Kanishk Jain; Varun Chhangani; Amogh Tiwari; K. Madhava Krishna; Vineet Gandhi (ICRA, 2023)

Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification. - Kanishk Jain; Shyamgopal Karthik; Vineet Gandhi (NeurIPS, 2023)

Instance-Level Semantic Maps for Vision Language Navigation. - Laksh Nanwani; Anmol Agarwal; Kanishk Jain; Raghav Prabhakar; Aaron Monis; Aditya Mathur; Krishna Murthy Jatavallabhula; A. H. Abdul Hafez; Vineet Gandhi; K. Madhava Krishna (RO-MAN, 2023)

Bringing Generalization to Deep Multi-View Pedestrian Detection. - Jeet Vora; Swetanjal Dutta; Kanishk Jain; Shyamgopal Karthik; Vineet Gandhi (WACV (Workshops), 2023)

Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics. - Taniel S. Winner; Michael C. Rosenberg; Kanishk Jain; Trisha M. Kesar; Lena H. Ting; Gordon J. Berman (PLoS Comput. Biol., 2023)

Benchmarking Vision Language Models for Cultural Understanding. - Shravan Nayak; Kanishk Jain; Rabiul Awal; Siva Reddy; Sjoerd van Steenkiste; Lisa Anne Hendricks; Karolina Stanczak; Aishwarya Agrawal (EMNLP, 2024)

Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection. - Shivam Chandhok; Qian Yang; Oscar Mañas; Kanishk Jain; Leonid Sigal; Aishwarya Agrawal (CoRR, 2025)