qCDC: Metastability-resilient synchronization FIFO for SFQ logic
Published in IEEE International Superconductive Electronics Conference (ISEC), 2019
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qBSA: Logic design of a 32-bit block-skewed RSFQ arithmetic logic unit
Published in IEEE International Superconductive Electronics Conference (ISEC), 2019
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Two-Phase Asynchronous to Synchronous Interfaces for an Open-Source Bundled-Data Flow
Published in 25th IEEE International Symposium on Asynchronous Circuits and Systems-Fresh Ideas (ASYNC), 2019
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Single flux quantum (SFQ) first-in-first-out (FIFO) synchronizers: New designs and paradigms
Published in IEEE Transactions on Applied Superconductivity, 2020
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Modeling and Characterization of Metastability in Single Flux Quantum (SFQ) Synchronizers
Published in IEEE International Symposium on Circuits and Systems (ISCAS), 2020
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Spike-thrift: Towards energy-efficient deep spiking neural networks by limiting spiking activity via attention-guided compression
Published in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021
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Metastability in superconducting single flux quantum (SFQ) logic
Published in IEEE Transactions on Circuits and Systems-I (TCAS-I), 2021
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Asd-transformer: Efficient active speaker detection using self and multimodal transformers
Published in International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2021
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Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
Published in International Joint Conference on Neural Networks (IJCNN), 2021
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A High Performance and Robust FIFO Synchronizer-Interface for Crossing Clock Domains in SFQ Logic
Published in Arxiv, 2021
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Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?
Published in Design, Automation and Test in Europe (DATE) Conference, 2022
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ACE-SNN: Algorithm-hardware co-design of energy-efficient & low-latency deep spiking neural networks for 3d image recognition
Published in Frontiers in Neuroscience (FIN), 2022
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Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression
Published in 2nd Sparse Neural Networks Workshop at International Conference on Machine Learning (ICML), 2022
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Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels
Published in European Conference on Computer Vision (ECCV) Workshops, 2022
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P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications
Published in Scientific Reports, 2022
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P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking
Published in IEEE/IFIP International Conference on Very Large Scale Integration (VLSI-SoC), 2022
The paper has been nominated for a best paper award. Read more
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Hoyer regularizer is all you need for ultra low-latency spiking neural networks
Published in Arxiv, 2022
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Enabling ISPless Low-Power Computer Vision
Published in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
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Self-Attentive Pooling for Efficient Deep Learning
Published in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
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Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors
Published in Frontiers in Neuroinformatics, 2023
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Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)
Published in Great Lakes Symposium on VLSI (GLSVLSI), 2023
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In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision
Published in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
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ViTA: A Vision Transformer Inference Accelerator for Edge Applications
Published in IEEE International Symposium on Circuits and Systems (ISCAS), 2023
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Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency
Published in International Symposium on Low Power Electronics and Design (ISLPED), 2023
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Let’s Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types
Published in Arxiv, 2023
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FireFly: A Synthetic Dataset for Ember Detection in Wildfire
Published in Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop at International Conference on Computer Vision (ICCV), 2023
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