Papers

• Real-Time Object Detection and Classification using YOLO for Edge FPGAs (2025)
  Rashed Al Amin et al.
  5.04
• Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware (2026)
  Hao Kong et al.
  4.39
• EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI (2026)
  Hao Kong et al.
  4.39
• NanoVSR: Towards Real-Time Video Super-Resolution on Edge Devices (2026)
  Filip Pawlicki et al.
  4.39
• Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning (2026)
  Hao Kong et al.
  4.39
• Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA (2026)
  Muhammad Usman et al.
  4.33
• Real-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows (2025)
  Julien Posso et al.
  2.71
• Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration (2025)
  Asma Baobaid and Mahmoud Meribout
  1.22
• FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning (2019)
  Paul N. Whatmough et al.
  —
• Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps (2021)
  Tse-Wei Chen et al.
  —
• Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions (2021)
  Tse-Wei Chen et al.
  —
• CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications (2021)
  Tse-Wei Chen et al.
  —
• Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream (2022)
  Mateusz Wasala and Tomasz Kryjak
  —
• Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml (2022)
  Nicol\`o Ghielmetti et al.
  —
• A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices (2024)
  Daghash K. Alqahtani et al.
  —