Yujiu Yang
Computer Vision and Pattern Recognition · 2019–2023
A researcher in the Science corpus: 15 papers; trusts 1,627 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 658 citations into it; #7,870 of 21,575 by trust here, #5,422 by citations
- Generative Models — 332 citations into it; #1,124 of 1,956 by trust here, #878 by citations
- Artificial Intelligence — 287 citations into it
- Media Technology — 81 citations into it
- Natural Language Processing — 80 citations into it; #5,677 of 5,688 by trust here, #3,529 by citations
- Evaluation & Benchmarks — 71 citations into it
- Multimodal Learning — 58 citations into it
- Large Language Models — 57 citations into it
Whom Yujiu Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Karen Simonyan
- Yann LeCun
- Ilya Sutskever
- Ross B. Girshick
- Christian Szegedy
Who trusts Yujiu Yang overall
- Weihao Xia
- Yufan Zhou
- Zhu Zhang
- Jing-Hao Xue
- Hao Wang
- Yulun Zhang
- Or Patashnik
- Gwanghyun Kim
- Tsu-Jui Fu
- Omri Avrahami
Papers from Yujiu Yang's perspective
Ordered by how strongly the researchers Yujiu Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- TediGAN: Text-Guided Diverse Face Image Generation and Manipulation (2021) — 465 citations
- GAN Inversion: A Survey (2021) — 638 citations
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate (2023) — 1,247 citations
- Sparse Adversarial Attack via Perturbation Factorization (2020) — 98 citations
- MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment (2022) — 759 citations
- TediGAN: Text-Guided Diverse Image Generation and Manipulation (2020) — 24 citations
- Domain Fingerprints for No-Reference Image Quality Assessment (2019) — 14 citations
- High-fidelity GAN Inversion with Padding Space (2022) — 34 citations
- Controllable Continuous Gaze Redirection (2020) — 18 citations
- CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing (2023) — 809 citations
- ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving (2023) — 314 citations
- Towards Open-World Text-Guided Face Image Generation and Manipulation (2021) — 49 citations
- Identity-Guided Face Generation with Multi-Modal Contour Conditions (2021)
- Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions (2019) — 13 citations
- Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches (2019) — 15 citations