| 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 | 2703 | 2016 |
| Linknet: Exploiting encoder representations for efficient semantic segmentation A Chaurasia, E Culurciello 2017 IEEE visual communications and image processing (VCIP), 1-4, 2017 | 1680 | 2017 |
| 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 | 81 | 2022 |
| 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 | 79 | 2018 |
| 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 |
| 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 | 6 | 2012 |
| 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 | 5 | 2022 |
| SIX-ROTOR UAV HELICOPTER DYNAMICS AND CONTROL: THEORY AND SIMULATION Abhishek, A Tripathi International Journal of Advanced Research in Electrical, Electronics and …, 2013 | 5 | 2013 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| Semi Supervised Training from Coarse Labels of Image Segmentation A Chaurasia, KB Giannios US Patent App. 17/727,604, 2022 | 1 | 2022 |
| Memory Failure Prediction A Chaurasia US Patent App. 17/727,587, 2022 | 1 | 2022 |
| Systems and methods for training machine learning models for denoising images BL DeLaRosa, K Giannios, A Chaurasia US Patent App. 17/445,379, 2022 | 1 | 2022 |
| 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 | 1 | 2022 |
| 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 | 1 | 2019 |
| Neural network model definition code generation and optimization A Chaurasia, AXM Chang US Patent App. 18/513,232, 2024 | | 2024 |
| Intermediate module neural architecture search AXM Chang, A Chaurasia US Patent App. 18/530,101, 2024 | | 2024 |
| The Evolution of Multimodal Model Architectures SN Wadekar, A Chaurasia, A Chadha, E Culurciello arXiv preprint arXiv:2405.17927, 2024 | | 2024 |
| Image texture manipulation for machine learning data augmentation K Giannios, B Delarosa, A Chaurasia US Patent App. 18/512,715, 2024 | | 2024 |
Eugenio CulurcielloPurdue University在 purdue.edu 的电子邮件经过验证
