CV / Resume
Research Areas
Reliable and adaptive computer vision, test-time adaptation, continual learning, long-tailed learning, CLIP/VLM adaptation, and robust AD/ADAS perception.
Education
- PhD, Department of Information Science and Technology, The University of Tokyo, Tokyo, Japan (Oct 2025 - Oct 2028)
Advisor: Prof. Toshihiko Yamasaki - M.Tech, Electrical Engineering (Control and Computing), IIT Bombay, Mumbai, India (Jul 2018 - Aug 2021)
Thesis: You Never Stop Learning: Exploring Continual Learning in Visual Recognition
Advisor: Prof. Subhasis Chaudhuri | CGPA: 9.42/10 - B.Tech, Electrical Engineering, Govt. Model Engineering College, Cochin, India (Aug 2013 - May 2017)
CGPA: 8.76/10
Work Experience
- AI Researcher, Honda Innovation Lab, Honda R&D Co., Ltd., Tokyo, Japan (Oct 2021 - Present)
- Research and development of road/free-space segmentation models for unstructured environments.
- Quantization and deployment of deep learning models on edge platforms.
- Camera-based risk minimization algorithms for safer driving scenarios.
- On-vehicle testing of perception algorithms under varied target conditions.
- Research Assistant, India-Trento Program for Advanced Research Phase-IV (Jul 2018 - Jun 2021)
- Remote sensing analysis with optical and radar imagery for dynamic earth-process monitoring.
- Curriculum learning methods to improve incremental classification accuracy and convergence.
- Few-shot incremental classification with continual learning constraints.
Selected Publications
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AdaPrior: Bayesian-Inspired Adaptive Prior Correction for Long-Tailed Continual Learning
S Divakar Bhat, Amit Popat More, Mudit Soni, Bhuvan Aggarwal
CVPR 2026 Main Conference (Highlight)
Paper | Code (third-party) -
Consistent Yet Wrong: Evidence Insensitivity in Spatial Vision-Language Models
S Divakar Bhat, Toshihiko Yamasaki
CVPR 2026 Workshop on Multimodal Learning and Applications (MULA), Oral + Poster
Paper -
Seeing What’s Not There: Negation Understanding Needs More Than Training
B. Aggarwal, A. More, M. Soni, S. D. Bhat
ICLR 2026
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Show more publications
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Prior2Posterior: Model Prior Correction for Long-Tailed Learning
S. D. Bhat, A. More, M. Soni, S. Agrawal
WACV 2025 (Oral)
Paper -
PC-GZSL: Prior Correction for Generalized Zero Shot Learning
S. D. Bhat, A. More, M. Soni, B. Aggarwal
WACV 2025
Paper -
Model Ensemble to Fuse Geometric and Learning Solutions for Camera Rotation Estimation
B. Aggarwal, A. More, S. D. Bhat, M. Soni
ICCVW 2025
Paper -
Robust Loss Function for Class Imbalanced Semantic Segmentation and Image Classification
S. D. Bhat, A. More, M. Soni, Y. Yasui
IFAC World Congress 2023
Paper -
CILEA-NET: A Curriculum-driven Incremental Learning Network for Remote Sensing Image Classification
IEEE JSTARS, 2021
Paper -
SemGIF: A Semantics Guided Incremental Few-shot Learning Framework with Generative Replay
BMVC, 2021
Paper -
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation
ICPR, 2021
Paper
Selected Talks and Presentations
- CVPR 2026 Main Conference Highlight Poster: AdaPrior (Video)
- CVPRW 2026 MULA Oral and Poster: Consistent Yet Wrong
Awards and Achievements
- Best M.Tech Thesis Award, Department of Electrical Engineering, IIT Bombay (2021)
- Finalist, INAE Innovative Student Projects Award (2021)
- GATE 2018: 99.3 percentile (out of 121,383 candidates)
Patents
- S. D. Bhat and A. More, “Learning device, learning method, and storage medium”, US Patent App. US20240265678A1 (2024)
- 8 additional patents filed worldwide
Skills
- PyTorch, Python, OpenCV (Python), TensorFlow Lite, C/C++, C#, Android Studio, Bash, Linux system administration
Languages
- English (Fluent)
- Japanese (Intermediate, N2)
- Hindi (Fluent)
- Konkani (Mother tongue)
- Malayalam (Fluent)