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10/14/2020
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices
High quality AI solutions require joint optimization of AI algorithms, s...
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08/28/2020
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator
Existing FPGA-based DNN accelerators typically fall into two design para...
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05/06/2020
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions
High quality AI solutions require joint optimization of AI algorithms an...
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04/08/2020
HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation
To speedup Deep Neural Networks (DNN) accelerator design and enable effe...
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01/06/2020
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs
Recent breakthroughs in Deep Neural Networks (DNNs) have fueled a growin...
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09/20/2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Developing object detection and tracking on resource-constrained embedde...
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06/25/2019
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection
Developing artificial intelligence (AI) at the edge is always challengin...
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05/20/2019
A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices
Developing deep learning models for resource-constrained Internet-of-Thi...
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04/09/2019
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge
While embedded FPGAs are attractive platforms for DNN acceleration on ed...
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02/07/2019
SiamVGG: Visual Tracking using Deeper Siamese Networks
Recently, we have seen a rapid development of Deep Neural Network (DNN) ...
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07/31/2018
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA
Neural network accelerators with low latency and low energy consumption ...
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03/23/2018
Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs
Deep Convolutional Neural Networks have become a Swiss knife in solving ...
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02/27/2018