Weihao Xia
Computer Vision and Pattern Recognition · 2019–2022
A researcher in the Science corpus: 10 papers; trusts 1,542 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 567 citations into it; #8,287 of 21,575 by trust here, #7,249 by citations
- Generative Models — 325 citations into it; #1,123 of 1,956 by trust here, #878 by citations
- Artificial Intelligence — 114 citations into it
- Multimodal Learning — 57 citations into it
- Media Technology — 54 citations into it
- Computer Graphics and Computer-Aided Design — 47 citations into it
- Representation & Self-Supervised Learning — 43 citations into it
- Evaluation & Benchmarks — 37 citations into it
Whom Weihao Xia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Karen Simonyan
- Ross B. Girshick
- Ilya Sutskever
- Yann LeCun
- Christian Szegedy
Who trusts Weihao Xia overall
- Yujiu Yang
- Yufan Zhou
- Zhu Zhang
- Hao Wang
- Jing-Hao Xue
- Or Patashnik
- Omri Avrahami
- Yuval Alaluf
- Qingyan Bai
- Yulun Zhang
Papers from Weihao Xia's perspective
Ordered by how strongly the researchers Weihao Xia 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)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- TediGAN: Text-Guided Diverse Face Image Generation and Manipulation (2021) — 465 citations
- GAN Inversion: A Survey (2021) — 638 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
- 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