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Optimization

14,983 papers

Papers per year

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Papers

Single Image Optical Flow Estimation With an Event Camera CVPR 2020
A Model-Driven Deep Neural Network for Single Image Rain Removal CVPR 2020
Stochastic Sparse Subspace Clustering CVPR 2020
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing CVPR 2020
CARS: Continuous Evolution for Efficient Neural Architecture Search CVPR 2020
Bundle Adjustment on a Graph Processor CVPR 2020
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach CVPR 2020
MAGSAC++, a Fast, Reliable and Accurate Robust Estimator CVPR 2020
Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020
Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020
Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising CVPR 2020
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus CVPR 2020
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning CVPR 2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks CVPR 2020
Deep Parametric Shape Predictions Using Distance Fields CVPR 2020
Minimal Solutions for Relative Pose With a Single Affine Correspondence CVPR 2020
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation CVPR 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack CVPR 2020
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors CVPR 2020
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks CVPR 2020
M-LVC: Multiple Frames Prediction for Learned Video Compression CVPR 2020
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging CVPR 2020
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection CVPR 2020
Robustness Guarantees for Deep Neural Networks on Videos CVPR 2020
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020