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ORCIDSiddeshwar Raghavan
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2020 – today
- 2026
[c4]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
PANDA - Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning. AAAI 2026: 25056-25064- [i12]Gautham Vinod
, Bruce Coburn, Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
Size Matters: Reconstructing Real-Scale 3D Models from Monocular Images for Food Portion Estimation. CoRR abs/2601.20051 (2026) - [i11]Yuhao Chen, Gautham Vinod, Siddeshwar Raghavan, Talha Ibn Mahmud, Bruce Coburn, Jinge Ma, Fengqing Zhu, Jiangpeng He:
Implicit-Scale 3D Reconstruction for Multi-Food Volume Estimation from Monocular Images. CoRR abs/2602.13041 (2026) - [i10]Siddeshwar Raghavan, Gautham Vinod, Bruce Coburn, Fengqing Zhu:
Can You Hear, Localize, and Segment Continually? An Exemplar-Free Continual Learning Benchmark for Audio-Visual Segmentation. CoRR abs/2603.08967 (2026) - [i9]Gautham Vinod, Siddeshwar Raghavan, Bruce Coburn, Fengqing Zhu:
DietDelta: A Vision-Language Approach for Dietary Assessment via Before-and-After Images. CoRR abs/2604.06352 (2026) - [i8]Gautham Vinod, Bruce Coburn, Siddeshwar Raghavan, Fengqing Zhu:
Not Your Stereo-Typical Estimator: Combining Vision and Language for Volume Perception. CoRR abs/2604.09886 (2026) - [i7]Siddeshwar Raghavan, Tanwi Mallick:
No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows. CoRR abs/2604.23106 (2026) - 2025
- [j1]Fangzhou Mu, Sicheng Mo, Jiayong Peng, Xiaochun Liu, Ji Hyun Nam, Siddeshwar Raghavan, Andreas Velten, Yin Li:
Physics to the Rescue: Deep Non-Line-of-Sight Reconstruction for High-Speed Imaging. IEEE Trans. Pattern Anal. Mach. Intell. 47(8): 6146-6158 (2025) - [i6]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
PANDA - Patch And Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning. CoRR abs/2511.09791 (2025) - 2024
- [c3]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
DELTA: Decoupling Long-Tailed Online Continual Learning. CVPR Workshops 2024: 4054-4064 - [c2]Jinge Ma, Xiaoyan Zhang, Gautham Vinod, Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds. ICPR (Workshops and Challenges, 4) 2024: 49-62 - [c1]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
Online Class-Incremental Learning For Real-World Food Image Classification. WACV 2024: 8180-8189 - [i5]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
DELTA: Decoupling Long-Tailed Online Continual Learning. CoRR abs/2404.04476 (2024) - [i4]Yuhao Chen, Jiangpeng He, Chris Czarnecki, Gautham Vinod, Talha Ibn Mahmud, Siddeshwar Raghavan, Jinge Ma, Dayou Mao, Saeejith Nair, Pengcheng Xi, Alexander Wong, Edward J. Delp, Fengqing Zhu:
MetaFood3D: Large 3D Food Object Dataset with Nutrition Values. CoRR abs/2409.01966 (2024) - [i3]Jinge Ma, Xiaoyan Zhang, Gautham Vinod, Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
MFP3D: Monocular Food Portion Estimation Leveraging 3D Point Clouds. CoRR abs/2411.10492 (2024) - 2023
- [i2]Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu:
Online Class-Incremental Learning For Real-World Food Classification. CoRR abs/2301.05246 (2023) - 2022
- [i1]Fangzhou Mu, Sicheng Mo, Jiayong Peng, Xiaochun Liu, Ji Hyun Nam, Siddeshwar Raghavan, Andreas Velten, Yin Li:
Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging. CoRR abs/2205.01679 (2022)
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