Yu Liu

Computer Vision and Pattern Recognition · 1 papers · 2025

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Liu trusts

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

  1. Jia Deng (in Computer Vision and Pattern Recognition)
  2. Stefano Ermon (in Computer Vision and Pattern Recognition)
  3. Jonathan Ho (in Computer Vision and Pattern Recognition)

Papers from Yu Liu's perspective

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

  1. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  2. Denoising Diffusion Implicit Models
  3. Score-Based Generative Modeling through Stochastic Differential Equations
  4. Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
  5. RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
  6. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer (International Conference on Learning Representations)
  9. Video-P2P: Video Editing with Cross-Attention Control (Computer Vision and Pattern Recognition)
  10. Effective Whole-body Pose Estimation with Two-stages Distillation (2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW))

Their papers