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Optimization

14,207 papers

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Papers

LDMNet: Low Dimensional Manifold Regularized Neural Networks CVPR 2018
Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble CVPR 2018
Camera Pose Estimation With Unknown Principal Point CVPR 2018
Inverse Composition Discriminative Optimization for Point Cloud Registration CVPR 2018
Learning to See in the Dark CVPR 2018
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning CVPR 2018
A Biresolution Spectral Framework for Product Quantization CVPR 2018
Sliced Wasserstein Distance for Learning Gaussian Mixture Models CVPR 2018
Local and Global Optimization Techniques in Graph-Based Clustering CVPR 2018
Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks CVPR 2018
Efficient Optimization for Rank-Based Loss Functions CVPR 2018
Wasserstein Introspective Neural Networks CVPR 2018
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines CVPR 2018
Neural 3D Mesh Renderer CVPR 2018
High-Speed Tracking With Multi-Kernel Correlation Filters CVPR 2018
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking CVPR 2018
Continuous Relaxation of MAP Inference: A Nonconvex Perspective CVPR 2018
Analyzing Filters Toward Efficient ConvNet CVPR 2018
Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation CVPR 2018
Discovering Point Lights With Intensity Distance Fields CVPR 2018
Deep Hashing via Discrepancy Minimization CVPR 2018
Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l1-Norm Distances CVPR 2018
Inference in Higher Order MRF-MAP Problems With Small and Large Cliques CVPR 2018
SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms CVPR 2018
Efficient Subpixel Refinement With Symbolic Linear Predictors CVPR 2018