Jianlong Wu
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 8 papers; trusts 863 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 224 citations into it; #12,009 of 21,575 by trust here, #5,754 by citations
- Artificial Intelligence — 145 citations into it
- Model Architectures — 40 citations into it
- Representation & Self-Supervised Learning — 37 citations into it
- Efficiency & Compression — 28 citations into it
- Media Technology — 22 citations into it
- Optimization & Training — 20 citations into it
- Signal Processing — 17 citations into it
Whom Jianlong Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Karen Simonyan
- Ross B. Girshick
- Diederik P. Kingma
- Yann LeCun
- Andrew Zisserman
- Ilya Sutskever
Who trusts Jianlong Wu overall
- Ruoteng Li
- Rajeev Yasarla
- Syed Waqas Zamir
- Zhouchen Lin
- Ozan Özdenizci
- Haokui Zhang
- Zhicheng Sun
- Meng-Hao Guo
- Jeya Maria Jose Valanarasu
- Chong Mou
Papers from Jianlong Wu's perspective
Ordered by how strongly the researchers Jianlong Wu 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Expectation-Maximization Attention Networks for Semantic Segmentation (2019) — 645 citations
- SOGNet: Scene Overlap Graph Network for Panoptic Segmentation (2019) — 64 citations
- Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining (2018) — 892 citations
- Dynamic Modality Interaction Modeling for Image-Text Retrieval (2021) — 225 citations
- Local Correlation Consistency for Knowledge Distillation (2020) — 59 citations
- Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space (2020) — 140 citations
- Deep Comprehensive Correlation Mining for Image Clustering (2019) — 196 citations
- Essential Tensor Learning for Multi-View Spectral Clustering (2018) — 322 citations