Identification of Causal Dependencies in Multivariate Time Series. - Sujoy Roychowdhury; Serene Banerjee; Ranjani H. G; Chaitanya Kapoor (AIMLSystems, 2022)

Orchestrating Resilient Communication Topology for Smart Connected Cities. - Chaitanya Kapoor; R. V. Pankajavalli; Kiran Khanna; Dasari Hasmita; Athira Nair K; N. B. Sai Shibu (COMSNETS, 2022)

Dense Residual Networks for Gaze Mapping on Indian Roads. - Chaitanya Kapoor; Kshitij Kumar; Soumya Vishnoi; Sriram Ramanathan (CoRR, 2022)

Handwashing Action Detection System for an Autonomous Social Robot. - Sreejith Sasidharan; Pranav Prabha; Devasena Pasupuleti; Anand M. Das; Chaitanya Kapoor; Gayathri Manikutty; Praveen Pankajakshan; Bhavani Rao (CoRR, 2022)

Attention-enabled Deep Neural Network for Enhancing UAV-Captured Pavement Imagery in Poor Visibility. - Chaitanya Kapoor; Aadith Warrier; Mohit Singh; Pratik Narang; Harish Puppala; Srinivas Rallapalli; Ajit Pratap Singh (MIPR, 2023)

Fast and Lightweight UAV-based Road Image Enhancement Under Multiple Low-Visibility Conditions. - Chaitanya Kapoor; Aadith Warrier; Mohit Singh; Pratik Narang; Harish Puppala; Srinivas Rallapalli; Ajit Pratap Singh (PerCom Workshops, 2023)

Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts. - Chaitanya Kapoor; Sudhanshu Srivastava; Meenakshi Khosla (CoRR, 2025)