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Efficient Computing
6,876 papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
Split To Learn: Gradient Split for Multi-Task Human Image Analysis
WACV 2023
PatchDropout: Economizing Vision Transformers Using Patch Dropout
WACV 2023
Lightweight Video Denoising Using Aggregated Shifted Window Attention
WACV 2023
Fast Online Video Super-Resolution With Deformable Attention Pyramid
WACV 2023
Perceiver-VL: Efficient Vision-and-Language Modeling With Iterative Latent Attention
WACV 2023
RNAS-MER: A Refined Neural Architecture Search With Hybrid Spatiotemporal Operations for Micro-Expression Recognition
WACV 2023
Are Straight-Through Gradients and Soft-Thresholding All You Need for Sparse Training?
WACV 2023
Fast and Accurate: Video Enhancement Using Sparse Depth
WACV 2023
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy
WACV 2023
Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small
WACV 2023
Spike-Based Anytime Perception
WACV 2023
Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching
WACV 2023
Efficient Reference-Based Video Super-Resolution (ERVSR): Single Reference Image Is All You Need
WACV 2023
FreeREA: Training-Free Evolution-Based Architecture Search
WACV 2023
Lossy Image Compression With Quantized Hierarchical VAEs
WACV 2023
SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution
WACV 2023
EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement
WACV 2023
Compact and Optimal Deep Learning With Recurrent Parameter Generators
WACV 2023
Hyperblock Floating Point: Generalised Quantization Scheme for Gradient and Inference Computation
WACV 2023
Universal Deep Image Compression via Content-Adaptive Optimization With Adapters
WACV 2023
Performance Comparison of DVS Data Spatial Downscaling Methods Using Spiking Neural Networks
WACV 2023
Hyperspherical Quantization: Toward Smaller and More Accurate Models
WACV 2023
Calibrating Deep Neural Networks Using Explicit Regularisation and Dynamic Data Pruning
WACV 2023
Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition
WACV 2023
Enabling ISPless Low-Power Computer Vision
WACV 2023
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