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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
HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting
CVPR 2024
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
CVPR 2024
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks
CVPR 2024
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
CVPR 2024
Wonder3D: Single Image to 3D using Cross-Domain Diffusion
CVPR 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning
CVPR 2024
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
CVPR 2024
Learning to Select Views for Efficient Multi-View Understanding
CVPR 2024
Model Adaptation for Time Constrained Embodied Control
CVPR 2024
Convolutional Prompting meets Language Models for Continual Learning
CVPR 2024
Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
CVPR 2024
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network
CVPR 2024
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
CVPR 2024
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models
CVPR 2024
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
CVPR 2024
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
CVPR 2024
Rewrite the Stars
CVPR 2024
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
CVPR 2024
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
CVPR 2024
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
CVPR 2024
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
CVPR 2024
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
CVPR 2024
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
CVPR 2024
Diffusion Models Without Attention
CVPR 2024
MaxQ: Multi-Axis Query for N:M Sparsity Network
CVPR 2024
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