Errui Ding
Computer Vision and Pattern Recognition · 2018–2022
A researcher in the Science corpus: 19 papers; trusts 1,704 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 621 citations into it; #8,883 of 21,575 by trust here, #3,659 by citations
- Artificial Intelligence — 234 citations into it
- Model Architectures — 93 citations into it; #1,844 of 2,278 by trust here, #1,749 by citations
- Media Technology — 77 citations into it
- Generative Models — 76 citations into it
- Evaluation & Benchmarks — 40 citations into it
- Optimization & Training — 37 citations into it
- Natural Language Processing — 36 citations into it
Whom Errui Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Ross B. Girshick
- Diederik P. Kingma
- Andrew Zisserman
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
Who trusts Errui Ding overall
Papers from Errui Ding's perspective
Ordered by how strongly the researchers Errui Ding 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)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- BMN: Boundary-Matching Network for Temporal Action Proposal Generation (2019) — 726 citations
- Compact Generalized Non-local Network (2018) — 176 citations
- Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition (2018) — 393 citations
- ACFNet: Attentional Class Feature Network for Semantic Segmentation (2019) — 301 citations
- Image Inpainting With Learnable Bidirectional Attention Maps (2019) — 265 citations
- Segment as Points for Efficient Online Multi-Object Tracking and Segmentation (2020) — 83 citations
- Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment (2022) — 254 citations
- STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing (2019) — 366 citations
- Towards Accurate Scene Text Recognition With Semantic Reasoning Networks (2020) — 344 citations
- AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results (2020) — 43 citations
- MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining (2022) — 51 citations
- TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network (2018) — 66 citations
- Student-Teacher Feature Pyramid Matching for Anomaly Detection (2021) — 362 citations
- AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer (2021) — 442 citations
- Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness (2021) — 140 citations
- PP-YOLO: An Effective and Efficient Implementation of Object Detector (2020) — 345 citations
- Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes (2019) — 256 citations
- Attentive Feedback Network for Boundary-Aware Salient Object Detection (2019) — 456 citations
- Dynamic Instance Normalization for Arbitrary Style Transfer (2019) — 219 citations