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Siddharth Roheda
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2020 – today
- 2023
- [j2]Sally Ghanem
, Siddharth Roheda, Hamid Krim:
Latent code-based fusion: A Volterra neural network approach. Intell. Syst. Appl. 18: 200210 (2023) - [c8]Siddharth Roheda, Ashkan Panahi, Hamid Krim:
Fast Optimal Transport for Latent Domain Adaptation. ICIP 2023: 1810-1814 - [c7]Siddharth Roheda
, Amit Satish Unde
, Loay Rashid
, Abhishek Ameta
:
Degradation Aware Multi-Scale Approach to No Reference Image Quality Assessment. ICVGIP 2023: 13:1-13:9 - 2022
- [i4]Siddharth Roheda, Ashkan Panahi, Hamid Krim:
Fast OT for Latent Domain Adaptation. CoRR abs/2210.00479 (2022) - 2021
- [j1]Siddharth Roheda, Hamid Krim, Zhi-Quan Luo, Tianfu Wu
:
Event driven sensor fusion. Signal Process. 188: 108241 (2021) - [i3]Sally Ghanem, Siddharth Roheda, Hamid Krim:
Latent Code-Based Fusion: A Volterra Neural Network Approach. CoRR abs/2104.04829 (2021) - 2020
- [c6]Siddharth Roheda, Hamid Krim:
Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. AAAI 2020: 11948-11956 - [c5]Siddharth Roheda, Hamid Krim, Benjamin S. Riggan:
Commuting Conditional GANS for Multi-Modal Fusion. ICASSP 2020: 3197-3201
2010 – 2019
- 2019
- [i2]Siddharth Roheda, Hamid Krim, Benjamin S. Riggan:
Commuting Conditional GANs for Robust Multi-Modal Fusion. CoRR abs/1906.04115 (2019) - [i1]Siddharth Roheda, Hamid Krim:
Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition. CoRR abs/1910.09616 (2019) - 2018
- [c4]Siddharth Roheda, Hamid Krim, Zhi-Quan Luo, Tianfu Wu:
Decision Level Fusion: An Event Driven Approach. EUSIPCO 2018: 2598-2602 - [c3]Siddharth Roheda, Benjamin S. Riggan, Hamid Krim, Liyi Dai:
Cross-Modality Distillation: A Case for Conditional Generative Adversarial Networks. ICASSP 2018: 2926-2930 - 2017
- [c2]Siddharth Roheda:
A Multi-Scale Approach to Skin Pixel Detection. Surveillance: Applications and Algorithms 2017: 18-23 - 2015
- [c1]Siddharth Roheda, Hari Kalva, Mehul R. Naik:
Detecting and extracting identifiable information from vehicles in videos. Video Surveillance and Transportation Imaging Applications 2015: 940705
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