Jiuxiang Gu
Computer Vision and Pattern Recognition · with Wang · 2015–2023
A researcher in the Science corpus: 10 papers; trusts 1,476 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 584 citations into it; #6,532 of 21,575 by trust here, #2,926 by citations
- Artificial Intelligence — 437 citations into it; #9,581 of 35,345 by trust here, #8,077 by citations
- Natural Language Processing — 138 citations into it
- Multimodal Learning — 127 citations into it
- Model Architectures — 85 citations into it
- Optimization & Training — 66 citations into it
- Evaluation & Benchmarks — 58 citations into it
- Signal Processing — 54 citations into it
Whom Jiuxiang Gu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Oriol Vinyals
- Karen Simonyan
- Ross B. Girshick
Who trusts Jiuxiang Gu overall
- Xu Yang
- Matteo Stefanini
- Jianfei Cai
- Kurt Shuster
- Marcella Cornia
- ByoungChul Ko
- Shafiq R. Joty
- Hanwang Zhang
- G. Wang
- Lin Ma
Papers from Jiuxiang Gu's perspective
Ordered by how strongly the researchers Jiuxiang Gu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- 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
- Going deeper with convolutions
Their papers
- Towards Language-Free Training for Text-to-Image Generation (2021) — 229 citations
- Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models (2017) — 385 citations
- Scene Graph Generation With External Knowledge and Image Reconstruction (2019) — 321 citations
- Recent advances in convolutional neural networks (2015) — 6,013 citations
- Stack-Captioning: Coarse-to-Fine Learning for Image Captioning (2017) — 194 citations
- Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling (2021) — 112 citations
- An Empirical Study of Language CNN for Image Captioning (2016) — 150 citations
- Unpaired Image Captioning by Language Pivoting (2018) — 89 citations
- LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding (2023) — 313 citations
- Recurrent Highway Networks with Language CNN for Image Captioning (2016) — 11 citations