Addressing the Cold-Start Problem in Outfit Recommendation Using Visual Preference Modelling. - Dhruv Verma; Kshitij Gulati; Rajiv Ratn Shah (BigMM, 2020)

Fashionist: Personalising Outfit Recommendation for Cold-Start Scenarios. - Dhruv Verma; Kshitij Gulati; Vasu Goel; Rajiv Ratn Shah (ACM Multimedia, 2020)

Anomaly detection in panoramic dental x-rays using a hybrid Deep Learning and Machine Learning approach. - Dhruv Verma; Sunaina Puri; Srikanth Prabhu; Komal Smriti (TENCON, 2020)

ExpressEar: Sensing Fine-Grained Facial Expressions with Earables. - Dhruv Verma; Sejal Bhalla; Dhruv Sahnan; Jainendra Shukla; Aman Parnami (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

SAMoSA: Sensing Activities with Motion and Subsampled Audio. - Vimal Mollyn; Karan Ahuja; Dhruv Verma; Chris Harrison 001; Mayank Goel (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

AttentioNet: Monitoring Student Attention Type in Learning with EEG-Based Measurement System. - Dhruv Verma; Sejal Bhalla; S. V. Sai Santosh; Saumya Yadav; Aman Parnami; Jainendra Shukla (ACII, 2023)

Evaluating Paraphrastic Robustness in Textual Entailment Models. - Dhruv Verma; Yash Kumar Lal; Shreyashee Sinha; Benjamin Van Durme; Adam Poliak (ACL (2), 2023)

ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition. - Debaditya Roy; Dhruv Verma; Basura Fernando (CoRR, 2023)

ChromaFlash: Snapshot Hyperspectral Imaging Using Rolling Shutter Cameras. - Dhruv Verma; Ian Ruffolo; David B. Lindell; Kiriakos N. Kutulakos; Alex Mariakakis (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Effectively Leveraging CLIP for Generating Situational Summaries of Images and Videos. - Dhruv Verma; Debaditya Roy; Basura Fernando (Int. J. Comput. Vis., 2025)