News
- 2026/07: Our ACM ICMI 2026 workshop, ACCESS-MI: Context-Aware Assistive Agents for Accessible Computing, received 13 submissions!
- 2026/07: Our Navigate-and-Explain Challenge received 9 submissions from across the world!
- 2026/07: On September 14, our lab will host a booth on AI student education in New York City as part of AI for the World’s programming at the Science Summit alongside the 81st United Nations General Assembly (UNGA81)!
- 2026/06: Our paper Graph Coloring for Multi-Task Learning by Santosh Patapati and Ian Noronha was accepted to the ECCV 2026 Main Conference (27.5% acceptance rate)!
- 2026/06: A team of six students developed Kalena, an LLM harness for automated machine learning engineering and research. We hope to showcase it at the IOAI 2026 AI Model Track competition!
- 2026/03: Congrats to our lab members for placing second in the IEEE Region 5 Presentation Competition!
- 2026/03: Check out our WACV 2026 paper Multimodal Graph Representation Learning over Arbitrary Sets of Modalities by Santosh Patapati and Trisanth Srinivasan (Round 1, ~6.5% direct acceptance rate)!
- 2026/02: Our workshop proposal, ACCESS-MI: Context-Aware Assistive Agents for Accessible Computing, was accepted to ACM ICMI 2026!
- 2026/01: Check out our IEEE VTC2025-Fall paper Early Goal-Guided Multi-Scale Fusion for Real-Time Vision–Language Driving by Santosh Patapati and Trisanth Srinivasan!
- 2025/11: Congrats to our lab members for winning the Student Paper Competition at IEEE MetroCon 2025!
- 2025/10: Check out our ICMI Companion 2025 paper Most DAIC-WOZ Depression Classifiers Are Invalid, They Don’t Learn Task-Specific Features: Preliminary Findings From a Large-Scale Reproducibility Study by Santosh Varma Patapati and collaborators!
- 2025/09: Check out our CVPRW 2025 paper PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications by Trisanth Srinivasan and Santosh Patapati!
- 2025/07: Check out our IEEE DSN-W 2025 paper DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systems by Trisanth Srinivasan, Santosh Patapati, and collaborators!
- 2025/05: Check out our ICICT 2025 paper Towards Leveraging Semantic Web Technologies for Automated UI Element Annotation by Trisanth Srinivasan!
- 2025/04: Congrats to Idhant Gode of Cornell University and collaborators on their ICICML 2024 paper, Utilizing Quantum Variational Circuits to Perform Quantum Convolutions in Hybrid “Quanvolutional” Neural Networks for Skin Cancer Detection!
About Us
Cyrion Labs brings together graduate and undergraduate CS students from various institutions, focused on the Southern region of the United States, to work on research projects with compute resources that they might otherwise not have access to. Our projects are determined by the interest of students, and they fall into four key areas: Representation Learning, Medical Diagnostics, Navigation, and Autonomous Engineering. With the support of our senior members, our students have already published several significant pieces of literature at conferences such as ECCV and WACV. Our goal is to empower underserved and underrepresented students to realize their full potential in AI!