Ziyu Guo
Computer Vision and Pattern Recognition · 2018–2024
A researcher in the Science corpus: 11 papers; trusts 535 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 257 citations into it
- Artificial Intelligence — 192 citations into it
- Computational Mechanics — 59 citations into it
- Large Language Models — 51 citations into it
- Geology — 41 citations into it
- Aerospace Engineering — 32 citations into it
- Evaluation & Benchmarks — 30 citations into it
- Model Architectures — 30 citations into it
Whom Ziyu Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Ross B. Girshick
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Alec Radford
- Karen Simonyan
Who trusts Ziyu Guo overall
Papers from Ziyu Guo's perspective
Ordered by how strongly the researchers Ziyu Guo 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
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- ImageBind-LLM: Multi-modality Instruction Tuning (2023) — 181 citations
- Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training (2022) — 417 citations
- Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following (2023) — 235 citations
- MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? (2024) — 698 citations
- Personalize Segment Anything Model with One Shot (2023) — 372 citations
- PointCLIP: Point Cloud Understanding by CLIP (2021) — 671 citations
- ATLAS data quality operations and performance for 2015-2018 data-taking (2019) — 379 citations
- Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at $\sqrt{s}$ = 13 TeV (2019) — 226 citations
- Search for electroweak production of charginos and sleptons decaying into final states with two leptons and missing transverse momentum in $\sqrt{s}=13$ TeV $pp$ collisions using the ATLAS detector (2019) — 323 citations
- Combined measurements of Higgs boson production and decay using up to $80$ fb$^{-1}$ of proton-proton collision data at $\sqrt{s}=$ 13 TeV collected with the ATLAS experiment (2019) — 200 citations
- Search for the standard model Higgs boson produced in association with top quarks and decaying into a bb¯ pair in pp collisions at √s=13 TeV with the ATLAS detector (2018) — 133 citations