Siddeshwar Raghavan

Orcid: 0000-0002-3079-2585

According to our database1, Siddeshwar Raghavan authored at least 13 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows.
CoRR, April, 2026

Not Your Stereo-Typical Estimator: Combining Vision and Language for Volume Perception.
CoRR, April, 2026

DietDelta: A Vision-Language Approach for Dietary Assessment via Before-and-After Images.
CoRR, April, 2026

Can You Hear, Localize, and Segment Continually? An Exemplar-Free Continual Learning Benchmark for Audio-Visual Segmentation.
CoRR, March, 2026

Implicit-Scale 3D Reconstruction for Multi-Food Volume Estimation from Monocular Images.
CoRR, February, 2026

Size Matters: Reconstructing Real-Scale 3D Models from Monocular Images for Food Portion Estimation.
CoRR, January, 2026

PANDA - Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Physics to the Rescue: Deep Non-Line-of-Sight Reconstruction for High-Speed Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

2024
MetaFood3D: Large 3D Food Object Dataset with Nutrition Values.
CoRR, 2024

Online Class-Incremental Learning For Real-World Food Image Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

DELTA: Decoupling Long-Tailed Online Continual Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Online Class-Incremental Learning For Real-World Food Classification.
CoRR, 2023


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