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Showing 4251–4275 of 5629 papers

TitleStatusHype
Flexible Piecewise Curves Estimation for Photo Enhancement—0
Flexible Techniques for Differentiable Rendering with 3D Gaussians—0
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs—0
FL-MISR: Fast Large-Scale Multi-Image Super-Resolution for Computed Tomography Based on Multi-GPU Acceleration—0
FloE: On-the-Fly MoE Inference on Memory-constrained GPU—0
Floorplan-SLAM: A Real-Time, High-Accuracy, and Long-Term Multi-Session Point-Plane SLAM for Efficient Floorplan Reconstruction—0
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks—0
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes—0
FlowR: Flowing from Sparse to Dense 3D Reconstructions—0
FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentation—0
fMoE: Fine-Grained Expert Offloading for Large Mixture-of-Experts Serving—0
FNAS: Uncertainty-Aware Fast Neural Architecture Search—0
Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection—0
Focus: Querying Large Video Datasets with Low Latency and Low Cost—0
Folding@home: achievements from over twenty years of citizen science herald the exascale era—0
Foreground object segmentation in RGB-D data implemented on GPU—0
Forensic Video Analytic Software—0
Formulations and scalability of neural network surrogates in nonlinear optimization problems—0
Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification—0
Foveated image processing for faster object detection and recognition in embedded systems using deep convolutional neural networks—0
FPGA-Accelerated SpeckleNN with SNL for Real-time X-ray Single-Particle Imaging—0
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI—0
FPGA Based Implementation of Deep Neural Networks Using On-chip Memory Only—0
FPGA-based Neural Network Accelerator for Millimeter-Wave Radio-over-Fiber Systems—0
fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs—0
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