Shifeng Zhang
Computer Vision and Pattern Recognition · 2017–2022
A researcher in the Science corpus: 12 papers; trusts 1,454 researchers and is trusted by 97 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 470 citations into it; #3,297 of 21,575 by trust here, #2,155 by citations
- Artificial Intelligence — 203 citations into it; #13,477 of 35,345 by trust here, #5,153 by citations
- Model Architectures — 50 citations into it
- Signal Processing — 50 citations into it
- Generative Models — 38 citations into it
- Media Technology — 38 citations into it
- Optimization & Training — 31 citations into it
- Evaluation & Benchmarks — 30 citations into it
Whom Shifeng Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Karen Simonyan
- Ilya Sutskever
- Shaoqing Ren
- Yann LeCun
Who trusts Shifeng Zhang overall
- Shiv Ram Dubey
- Songtao Liu
- Jianwei Yang
- Kang-jik Kim
- Yongqiang Zhang
- Shengkai Wu
- Chien-Yao Wang
- Xiongwei Wu
- Lin Wang
- Siyu Wang
Papers from Shifeng Zhang's perspective
Ordered by how strongly the researchers Shifeng Zhang 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection (2019) — 2,144 citations
- Single-Shot Refinement Neural Network for Object Detection (2017) — 1,373 citations
- S^3FD: Single Shot Scale-Invariant Face Detector (2017) — 685 citations
- Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd (2018) — 446 citations
- ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch (2018) — 25 citations
- Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study (2019) — 337 citations
- DARTS+: Improved Differentiable Architecture Search with Early Stopping (2019) — 317 citations
- Memory Replay with Data Compression for Continual Learning (2022) — 141 citations
- iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder (2021) — 46 citations
- iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression (2021) — 48 citations
- CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing (2019) — 203 citations
- Pairwise Teacher-Student Network for Semi-Supervised Hashing (2019) — 9 citations