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Abhishek Chaurasia
Abhishek Chaurasia
Research Scientist, Chaos Industries
Verified email at chaosinc.com - Homepage
Title
Cited by
Cited by
Year
Enet: A deep neural network architecture for real-time semantic segmentation
A Paszke, A Chaurasia, S Kim, E Culurciello
arXiv preprint arXiv:1606.02147, 2016
29012016
Linknet: Exploiting encoder representations for efficient semantic segmentation
A Chaurasia, E Culurciello
2017 IEEE visual communications and image processing (VCIP), 1-4, 2017
18762017
Mobilevitv3: Mobile-friendly vision transformer with simple and effective fusion of local, global and input features
SN Wadekar, A Chaurasia
arXiv preprint arXiv:2209.15159, 2022
1152022
Analyzing complex single-molecule emission patterns with deep learning
P Zhang, S Liu, A Chaurasia, D Ma, MJ Mlodzianoski, E Culurciello, ...
Nature methods 15 (11), 913-916, 2018
872018
The Evolution of Multimodal Model Architectures
SN Wadekar, A Chaurasia, A Chadha, E Culurciello
arXiv preprint arXiv:2405.17927, 2024
102024
Interval type-2 fuzzy C-means using multiple kernels
Abhishek, A Jeph, FCH Rhee
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on, 1-8, 2013
8*2013
Reinforcement learning approach for mapping applications to dataflow-based coarse-grained reconfigurable array
AXM Chang, P Khopkar, B Romanous, A Chaurasia, P Estep, S Windh, ...
arXiv preprint arXiv:2205.13675, 2022
62022
An ingenious technique for symbol identification from high noise CAPTCHA images
D Kapoor, H Bangar, Abhishek, A Sethi
India Conference (INDICON), 2012 Annual IEEE, 098-103, 2012
62012
SIX-ROTOR UAV HELICOPTER DYNAMICS AND CONTROL: THEORY AND SIMULATION
Abhishek, A Tripathi
International Journal of Advanced Research in Electrical, Electronics and …, 2013
52013
Building units for machine learning models for denoising images and systems and methods for using same
BL DeLaRosa, K Giannios, A Chaurasia
US Patent App. 17/445,377, 2022
22022
Noise Reconstruction and Removal Network: a New Way to Denoise FIB-SEM Image
K Giannios, A Chaurasia, G Thibault, JL Riesterer, ES Stempinski, TP Lo, ...
Microscopy and Microanalysis 28 (S1), 1506-1508, 2022
22022
Compiler with an artificial neural network to optimize instructions generated for execution on a deep learning accelerator of artificial neural networks
AXM Chang, AT Zaidy, M Vitez, MC Glapa, A Chaurasia, E Culurciello
US Patent App. 17/092,040, 2022
22022
Semi Supervised Training from Coarse Labels of Image Segmentation
A Chaurasia, KB Giannios
US Patent App. 17/727,604, 2022
12022
Memory Failure Prediction
A Chaurasia
US Patent App. 17/727,587, 2022
12022
Systems and methods for training machine learning models for denoising images
BL DeLaRosa, K Giannios, A Chaurasia
US Patent App. 17/445,379, 2022
12022
Modular machine learning models for denoising images and systems and methods for using same
BL DeLaRosa, K Giannios, A Chaurasia
US Patent App. 17/445,380, 2022
12022
Understanding Complex Single Molecule Emission Patterns with Deep Learning
P Zhang, S Liu, A Chaurasia, D Ma, MJ Mlodzianoski, E Culurciello, ...
Biophysical Journal 116 (3), 281a, 2019
12019
Multi modal prompts for zero-shot mixed tasks
AXM Chang, E Culurciello, A Chaurasia
US Patent App. 18/636,051, 2024
2024
Techniques to implement transformers with multi-task neural networks
P Khopkar, SN Wadekar, A Chaurasia, AXM Chang
US Patent App. 18/420,489, 2024
2024
Neural network model definition code generation and optimization
A Chaurasia, AXM Chang
US Patent App. 18/513,232, 2024
2024
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