Papers

• NanoVSR: Towards Real-Time Video Super-Resolution on Edge Devices (2026)
  Filip Pawlicki et al.
  4.39
• ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning (2025)
  Dhruv Parikh et al.
  2.60
• Tempus: A Temporally Scalable Resource-invariant GEMM Streaming Framework For Versal AI Edge (2026)
  M. Grailoo, J. Nunez-Yanez
  1.89
• Which Workloads Belong in Orbit? A Workload-First Framework for Orbital Data Centers Using Semantic Abstraction (2026)
  Durgendra Narayan Singh
  1.78
• Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research (2025)
  Ciro Benito Raggio et al.
  1.61
• LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation (2020)
  Wentao Zhu et al.
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• Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour (2020)
  Arissa Wongpanich et al.
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• Training of SSD(Single Shot Detector) for Facial Detection using Nvidia Jetson Nano (2021)
  Saif Ur Rehman et al.
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• Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles (2023)
  Elton F. de S. Soares and Carlos Alberto V. Campos
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• OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning (2024)
  Chu Myaet Thwal et al.
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• DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUs (2024)
  Corn\'e Verburg et al.
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• A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices (2024)
  Daghash K. Alqahtani et al.
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