Towards Continual Test-Time Adaptation of Vision-Language Models in Open-Vocabulary Semantic Segmentation
arXiv, 2026
PhD Candidate @ UT Dallas · sarthak.maharana@utdallas.edu
I am a CS PhD Candidate at The University of Texas at Dallas, advised by Dr. Yunhui Guo. Prior to this, I earned my MS in Electrical Engineering from the University of Southern California. I completed my BTech in Electrical and Electronics Engineering at the International Institute of Information Technology (IIIT), Bhubaneswar, India.
I'm interested in building adaptive, efficient, and robust AI systems that keep learning when the world changes. My work spans continual learning, multimodal perception, and real-time motion planning and reasoning for autonomous driving.
Areas of interest: Computer Vision, Multimodal Learning, Physical AI.
Sub-areas: Continual Learning/Adaptation, Robust and Efficient Perception, On-Device AI, Autonomous Driving.
Open to research conversations & collaborations. Feel free to reach out!
Outside of my PhD, I try to stay active, consume unreasonable amounts of music, and maintain a completely healthy and proportionate obsession with cricket. I spend the rest of my free time contemplating life, the universe, consciousness, and other "lighthearted" topics. Open to random recs that I collect at a significantly faster rate than I can consume them, so naturally, do your deed!
| Jul 2026 | Received an ECCV 2026 travel award; will also review for AAAI 2027. |
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| Jun 2026 | Our continual test-time adaptation survey was accepted to TMLR. |
| Jun 2026 | AVReCAP was accepted to ECCV 2026. |
| Apr 2026 | I'll be joining NEC Laboratories America to work on real-time reasoning and planning for autonomous driving. |
| Apr 2026 | Returned to reviewing for NeurIPS 2026. |
| Feb 2026 | Variational Diffusion Unlearning was accepted to TMLR. |
| Sep 2025 | AVROBUSTBENCH was accepted to NeurIPS Datasets & Benchmarks. |
| Aug 2025 | Received a travel grant from the ICCV community! |
| Jun 2025 | BATCLIP was accepted to ICCV 2025. |
| May 2025 | We will organize the 1st Workshop on Multimodal Continual Learning at ICCV 2025. |
| May 2025 | Passed my qualifying examination and became a PhD candidate. |
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| Mar 2025 | We will co-organize the 2nd Workshop on Test-Time Adaptation at ICML 2025. |
| Feb 2025 | I'll join Dolby Laboratories as a PhD Research Intern for Summer 2025. |
| Dec 2024 | PALM was accepted to AAAI 2025 as an oral presentation. |
| Nov 2024 | Served as a reviewer for CVPR 2025. |
| Oct 2024 | Variational Diffusion Unlearning was accepted to the NeurIPS SafeGenAI Workshop. |
| Sep 2024 | Our submodular optimization work for active 3D object detection was accepted to NeurIPS 2024. |
| Aug 2024 | Served as a reviewer for ICLR 2025. |
| Jul 2024 | Our work on DNN watermarking was accepted to ECCV 2024. |
My full publication record is available on Google Scholar.
arXiv, 2026
Transactions on Machine Learning Research (TMLR), 2026
Transactions on Machine Learning Research (TMLR), 2026
I work across academic and industrial research, connecting fundamental questions.
Research Scientist Intern
Real-time reasoning and closed-loop trajectory planning for autonomous driving in long-tailed scenes.
PhD Research Intern
Robust audio-visual learning in continual learning settings.
PhD Candidate · Computer Science
Advised by Dr. Yunhui Guo in the Data Efficient Intelligent Learning Lab.
Organizer
Co-organizer
I’m always glad to discuss research collaborations and emerging ideas. I have a knack for finding interesting problems or digging into the teeny-tiny details of a paper. Feel free to contact!