Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery. - Chaitanya Devaguptapu; Ninad Akolekar; Manuj M. Sharma; Vineeth N. Balasubramanian (CVPR Workshops, 2019)

On Initial Pools for Deep Active Learning. - Akshay L. Chandra; Sai Vikas Desai; Chaitanya Devaguptapu; Vineeth N. Balasubramanian (Preregister@NeurIPS, 2020)

An Empirical Study on the Robustness of NAS based Architectures. - Chaitanya Devaguptapu; Devansh Agarwal; Gaurav Mittal; Vineeth N. Balasubramanian (CoRR, 2020)

On Adversarial Robustness: A Neural Architecture Search perspective. - Chaitanya Devaguptapu; Devansh Agarwal; Gaurav Mittal; Pulkit Gopalani; Vineeth N. Balasubramanian (ICCVW, 2021)

Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). - Arjun Ashok; Chaitanya Devaguptapu; Vineeth N. Balasubramanian (AAAI, 2022)

Learning Modular Structures That Generalize Out-of-Distribution. - Arjun Ashok; Chaitanya Devaguptapu; Vineeth Balasubramanian (CoRR, 2022)

Δ-Networks for Efficient Model Patching. - Chaitanya Devaguptapu; Samarth Sinha; K. J. Joseph; Vineeth N. Balasubramanian; Animesh Garg (CoRR, 2023)

Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation. - Siddharth Katageri; Arkadipta De; Chaitanya Devaguptapu; VSSV Prasad; Charu Sharma; Manohar Kaul (CoRR, 2023)

HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs. - Pranoy Panda; Ankush Agarwal; Chaitanya Devaguptapu; Manohar Kaul; A. P. Prathosh (ACL (1), 2024)

Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation. - Siddharth Katageri; Arkadipta De; Chaitanya Devaguptapu; V. S. S. V. Prasad; Charu Sharma; Manohar Kaul (WACV, 2024)

Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers. - Chaitanya Devaguptapu; Sumukh Aithal; Shrinivas Ramasubramanian; Moyuru Yamada; Manohar Kaul (CoRR, 2024)

Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details? - Parth Thakkar; Ankush Agarwal; Prasad Kasu; Pulkit Bansal; Chaitanya Devaguptapu (ACL (1), 2025)

Hybrid Graphs for Table-and-Text based Question Answering using LLMs. - Ankush Agarwal; Chaitanya Devaguptapu; Ganesh S (NAACL (Long Papers), 2025)

Towards a Training Free Approach for 3D Scene Editing. - Vivek Madhavaram; Shivangana Rawat; Chaitanya Devaguptapu; Charu Sharma; Manohar Kaul (WACV, 2025)

Finding Needles in Images: Can Multimodal LLMs Locate Fine Details? - Parth Thakkar; Ankush Agarwal; Prasad Kasu; Pulkit Bansal; Chaitanya Devaguptapu (CoRR, 2025)