Graph Coloring for Multi-Task Learning
Santosh Patapati, Ian Noronha European Conference on Computer Vision (ECCV) 2026 — Main Conference (27.5% acceptance rate) [paper]
Multimodal Graph Representation Learning over Arbitrary Sets of Modalities
Santosh Patapati, Trisanth Srinivasan IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026, pp. 7104–7115 — Round 1 (~6.5% direct acceptance rate) [paper]
Early Goal-Guided Multi-Scale Fusion for Real-Time Vision–Language Driving
Santosh Patapati, Trisanth Srinivasan IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), 2025, pp. 1–5 [paper]
Most DAIC-WOZ Depression Classifiers Are Invalid, They Don’t Learn Task-Specific Features: Preliminary Findings From a Large-Scale Reproducibility Study
Santosh Varma Patapati, Ishan Pendyala, Murari Ambati, Pranav Kunadharaju, Pranav Kokati, Amit Adiraju, Trisanth Srinivasan Companion Proceedings of the 27th International Conference on Multimodal Interaction (ICMI Companion) 2025, pp. 17–21 [paper]
Detecting Expert-Written Comments in Stack Exchange
Himani Musku, Alea Ritchie, Nour Jedidi, Rohan Leekha, Courtland VanDam 2025 IEEE High Performance Extreme Computing Conference (HPEC), pp. 1–6 [paper]
DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systems
Trisanth Srinivasan, Santosh Patapati, Himani Musku, Idhant Gode, Aditya Arora, Samvit Bhattacharya, Abubakr Nazriev, Sanika Hirave, Zaryab Kanjiani, Srinjoy Ghose 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) 2025, pp. 63–70 [paper]
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications
Trisanth Srinivasan, Santosh Patapati IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2025, pp. 6566–6574 [paper]
Towards Leveraging Semantic Web Technologies for Automated UI Element Annotation
Trisanth Srinivasan International Conference on Inventive Computation Technologies (ICICT) 2025, pp. 896–898 [paper]
Utilizing Quantum Variational Circuits to Perform Quantum Convolutions in Hybrid “Quanvolutional” Neural Networks for Skin Cancer Detection
Idhant Gode, Haiyan Wang, David Liang 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML), pp. 2034–2037 [paper]