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Efficient Computing

6,876 papers

Papers per year

Papers

LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition AAAI 2024
Arbitrary-Scale Video Super-resolution Guided by Dynamic Context AAAI 2024
Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection AAAI 2024
Bi-ViT: Pushing the Limit of Vision Transformer Quantization AAAI 2024
SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction AAAI 2024
RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks AAAI 2024
Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing AAAI 2024
F³-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis AAAI 2024
LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network AAAI 2024
Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models AAAI 2024
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning AAAI 2024
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer AAAI 2024
Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion AAAI 2024
Patched Line Segment Learning for Vector Road Mapping AAAI 2024
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling AAAI 2024
High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction AAAI 2024
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators AAAI 2024
Efficient Lightweight Image Denoising with Triple Attention Transformer AAAI 2024
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization AAAI 2024
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024
Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024
Machine Learning-Powered Combinatorial Clock Auction AAAI 2024
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training AAAI 2024
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity AAAI 2024
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks AAAI 2024