Bappaditya Dey

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 35

Top Topics

Systematic Review

Hardware Architecture

Defect Classification

Top Venues

Publications

Bappaditya Dey, Vic De Ridder, Víctor Blanco, Sandip Halder, Bartel Van Waeyenberge
Addressing Class Imbalance and Data Limitations in Advanced Node Semiconductor Defect Inspection: A Generative Approach for SEM Images. CoRR (2024)
Amit Prasad, Bappaditya Dey, Victor Blanco, Sandip Halder
An Evaluation of Continual Learning for Advanced Node Semiconductor Defect Inspection. CoRR (2024)
Ying-Lin Chen, Jacob Deforce, Vic De Ridder, Bappaditya Dey, Víctor Blanco, Sandip Halder, Philippe Leray
Towards Improved Semiconductor Defect Inspection for high-NA EUVL based on SEMI-SuperYOLO-NAS. CoRR (2024)
Enrique Dehaerne, Bappaditya Dey, Sandip Halder, Stefan De Gendt
Optimizing YOLOv7 for Semiconductor Defect Detection. CoRR (2023)
Sara Sacchi, Bappaditya Dey, Iacopo Mochi, Sandip Halder, Philippe Leray
Deep learning denoiser assisted roughness measurements extraction from thin resists with low Signal-to-Noise Ratio(SNR) SEM images: analysis with SMILE. CoRR (2023)
Enrique Dehaerne, Bappaditya Dey, Hossein Esfandiar, Lander Verstraete, Hyo Seon Suh, Sandip Halder, Stefan De Gendt
YOLOv8 for Defect Inspection of Hexagonal Directed Self-Assembly Patterns: A Data-Centric Approach. CoRR (2023)
Vic De Ridder, Bappaditya Dey, Víctor Blanco, Sandip Halder, Bartel Van Waeyenberge
Improved Defect Detection and Classification Method for Advanced IC Nodes by Using Slicing Aided Hyper Inference with Refinement Strategy. CoRR (2023)
Thibault Lechien, Enrique Dehaerne, Bappaditya Dey, Víctor Blanco, Sandip Halder, Stefan De Gendt
Automated Semiconductor Defect Inspection in Scanning Electron Microscope Images: a Systematic Review. CoRR (2023)
MinJin Hwang, Bappaditya Dey, Enrique Dehaerne, Sandip Halder, Young-han Shin
SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering. CoRR (2023)
Enrique Dehaerne, Bappaditya Dey, Sandip Halder, Stefan De Gendt
Benchmarking Feature Extractors for Reinforcement Learning-Based Semiconductor Defect Localization. CoRR (2023)
Vic De Ridder, Bappaditya Dey, Enrique Dehaerne, Sandip Halder, Stefan De Gendt, Bartel Van Waeyenberge
SEMI-CenterNet: A Machine Learning Facilitated Approach for Semiconductor Defect Inspection. CoRR (2023)
Vic De Ridder, Bappaditya Dey, Sandip Halder, Bartel Van Waeyenberge
SEMI-DiffusionInst: A Diffusion Model Based Approach for Semiconductor Defect Classification and Segmentation. CoRR (2023)
Bappaditya Dey, Anh Tuan Ngo, Sara Sacchi, Víctor Blanco, Philippe Leray, Sandip Halder
Applying Machine Learning Models on Metrology Data for Predicting Device Electrical Performance. CoRR (2023)
Enrique Dehaerne, Bappaditya Dey, Sandip Halder, Stefan De Gendt
A Deep Learning Framework for Verilog Autocompletion Towards Design and Verification Automation. CoRR (2023)
Enrique Dehaerne, Bappaditya Dey, Wannes Meert
A Machine Learning Approach Towards SKILL Code Autocompletion. CoRR (2023)
Bappaditya Dey, Dipam Goswami, Sandip Halder, Kasem Khalil, Philippe Leray, Magdy A. Bayoumi
Deep Learning-Based Defect Classification and Detection in SEM Images. CoRR (2022)
Bappaditya Dey, Enrique Dehaerne, Kasem Khalil, Sandip Halder, Philippe Leray, Magdy A. Bayoumi
Deep Learning based Defect classification and detection in SEM images: A Mask R-CNN approach. CoRR (2022)
Kasem Khalil, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi
Adaptive Hardware Architecture for Neural-Network-on-Chip. MWSCAS (2022)
Enrique Dehaerne, Bappaditya Dey, Sandip Halder, Stefan De Gendt, Wannes Meert
Code Generation Using Machine Learning: A Systematic Review. IEEE Access 10 (2022)
Enrique Dehaerne, Bappaditya Dey, Sandip Halder
A Comparative Study of Deep-Learning Object Detectors for Semiconductor Defect Detection. ICECS 2022 (2022)
Bappaditya Dey, Kasem Khalil, Ashok Kumar, Magdy A. Bayoumi
A Reversible-Logic based Architecture for VGGNet. ICECS (2021)
Kasem Khalil, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi
A Reversible-Logic based Architecture for Convolutional Neural Network (CNN). MWSCAS (2021)
Kasem Khalil, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi
A Reversible-Logic Based Architecture for Long Short-Term Memory (LSTM) Network. ISCAS (2021)
Kasem Khalil, Omar Eldash, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi
An Efficient Embryonic Hardware Architecture based on Network-on-Chip. MWSCAS (2021)
Kasem Khalil, Bappaditya Dey, Mostafa Abdelrehim, Ashok Kumar, Magdy A. Bayoumi
An Efficient Reconfigurable Neural Network on Chip. ICECS (2021)
Kasem Khalil, Bappaditya Dey, Yasser Sherazi, Ashok Kumar, Magdy A. Bayoumi
A Novel Design Reversible Logic Based Configurable Fault-Tolerant Embryonic Hardware. ISCAS (2020)
Kasem Khalil, Omar Eldash, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi
Architecture of A Novel Low-Cost Hardware Neural Network. MWSCAS (2020)
Bappaditya Dey, Kasem Khalil, Ashok Kumar, Magdy A. Bayoumi
A Reversible-Logic based Architecture for Artificial Neural Network. MWSCAS (2020)
Bappaditya Dey, Kasem Khalil, Ashok Kumar, Magdy A. Bayoumi
A Novel Design Gate based Low-Cost Configurable RO PUF using Reversible Logic. MWSCAS (2019)
Kasem Khalil, Omar Eldash, Bappaditya Dey, Ashok Kumar, Magdy A. Bayoumi
A Novel Reconfigurable Hardware Architecture of Neural Network. MWSCAS (2019)
Oladiran G. Olaleye, Alaa Ali, Kasem Khalil, Bappaditya Dey, Dmitri D. Perkins, Magdy A. Bayoumi
Spectrum-Awareness-Based Performance and Scalability of Cognitive Radio Networks. ICC Workshops (2018)
Alaa Ali, Oladiran G. Olaleye, Bappaditya Dey, Kasem Khalil, Magdy A. Bayoumi
A Low Power Hardware Implementation of Multi-Object DPM Detector for Autonomous Driving. ICASSP (2018)
Md Farhadur Reza, Tung Thanh Le, Bappaditya Dey, Magdy A. Bayoumi, Dan Zhao
Neuro-NoC: Energy Optimization in Heterogeneous Many-Core NoC using Neural Networks in Dark Silicon Era. ISCAS (2018)
Siroos Madani, Kasem Khalil, Bappaditya Dey, Devante Bonton, Magdy A. Bayoumi
Repair techniques for aged TSVs in 3D integrated circuits. HLDVT (2017)
Alaa Ali, Oladiran G. Olaleye, Bappaditya Dey, Magdy A. Bayoumi
Fast deep pyramid DPM object detection with region proposal networks. ISSPIT (2017)
Brent Foster, Ulas Bagci, Ziyue Xu, Bappaditya Dey, Brian Luna, William Bishai, Sanjay Jain, Daniel J. Mollura
Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models. IEEE Trans. Biomed. Eng. 61 (3) (2014)
Brent Foster, Ulas Bagci, Brian Luna, Bappaditya Dey, William Bishai, Sanjay Jain, Ziyue Xu, Daniel J. Mollura
Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation. ISBI (2013)