Vladislav Rosov

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vladislav Rosov trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Vladislav Rosov's perspective

Ordered by how strongly the researchers Vladislav Rosov trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Generative Adversarial Networks
  3. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  4. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
  5. ImageNet classification with deep convolutional neural networks
  6. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
  7. Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
  8. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
  9. Learning Representations and Generative Models for 3D Point Clouds
  10. Occupancy Networks: Learning 3D Reconstruction in Function Space (Computer Vision and Pattern Recognition)

Their papers