Deli Zhao

Computer Vision and Pattern Recognition · 2013–2023

A researcher in the Science corpus: 12 papers; trusts 890 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 363 citations into it; #3,950 of 21,575 by trust here, #3,955 by citations
• Generative Models — 229 citations into it; #344 of 1,956 by trust here, #599 by citations
• Artificial Intelligence — 129 citations into it
• Multimodal Learning — 50 citations into it
• Statistical and Nonlinear Physics — 43 citations into it
• Computer Graphics and Computer-Aided Design — 39 citations into it
• Probabilistic & Bayesian Methods — 35 citations into it
• Representation & Self-Supervised Learning — 35 citations into it; #1,894 of 3,145 by trust here, #2,624 by citations

Whom Deli Zhao trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Kaiming He
6. Karen Simonyan
7. Yann LeCun
8. Tero Karras
9. Ilya Sutskever
10. Radford M. Neal

Who trusts Deli Zhao overall

1. Yujun Shen
2. Yuval Alaluf
3. Aleksandar Bojchevski
4. Rameen Abdal
5. Jiapeng Zhu
6. Yotam Nitzan
7. Weihao Xia
8. Bolei Zhou
9. Peihao Zhu
10. Daokun Zhang

Papers from Deli Zhao's perspective

Ordered by how strongly the researchers Deli Zhao 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• In-Domain GAN Inversion for Real Image Editing (2020) — 694 citations
• VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation (2023) — 432 citations
• Composer: Creative and Controllable Image Synthesis with Composable Conditions (2023) — 394 citations
• VideoComposer: Compositional Video Synthesis with Motion Controllability (2023) — 542 citations
• Low-Rank Subspaces in GANs (2021) — 79 citations
• AnyDoor: Zero-shot Object-level Image Customization (2023) — 503 citations
• I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models (2023) — 375 citations
• Disentangled Inference for GANs With Latently Invertible Autoencoder (2019) — 39 citations
• LIA: Latently Invertible Autoencoder with Adversarial Learning (2019) — 21 citations
• Scalable Gaussian Process Regression Using Deep Neural Networks (2015) — 70 citations
• Network Representation Learning with Rich Text Information (2015) — 1,111 citations
• Face Recognition via Archetype Hull Ranking (2013) — 20 citations