Gaofeng Meng
Computer Vision and Pattern Recognition · 2012–2022
A researcher in the Science corpus: 14 papers; trusts 1,056 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 380 citations into it; #8,851 of 21,575 by trust here, #4,469 by citations
- Artificial Intelligence — 309 citations into it
- Model Architectures — 124 citations into it
- Neural Architecture Search & AutoML — 72 citations into it; #252 of 283 by trust here, #95 by citations
- Optimization & Training — 57 citations into it
- Computational Mechanics — 47 citations into it
- Efficiency & Compression — 37 citations into it
- Evaluation & Benchmarks — 35 citations into it
Whom Gaofeng Meng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Karen Simonyan
- Barret Zoph
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
- Ross B. Girshick
Who trusts Gaofeng Meng overall
- Wenqi Ren
- Boyi Li
- Cosmin Ancuți
- Codruta Orniana Ancuti
- Xiaojie Guo
- Deniz Engin
- Jin-shan Pan
- Yuanjie Shao
- Risheng Liu
- Xu Qin
Papers from Gaofeng Meng's perspective
Ordered by how strongly the researchers Gaofeng Meng 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- Deep Adaptive Image Clustering (2017) — 553 citations
- DetNAS: Neural Architecture Search on Object Detection (2019) — 94 citations
- DetNAS: Backbone Search for Object Detection (2019) — 289 citations
- Efficient Image Dehazing with Boundary Constraint and Contextual Regularization (2013) — 1,081 citations
- RENAS: Reinforced Evolutionary Neural Architecture Search (2019) — 126 citations
- Discriminative Least Squares Regression for Multiclass Classification and Feature Selection (2012) — 432 citations
- Differentiable Architecture Search with Ensemble Gumbel-Softmax (2019) — 20 citations
- Expanding Language-Image Pretrained Models for General Video Recognition (2022) — 522 citations
- Spatio-Temporal Graph Structure Learning for Traffic Forecasting (2020) — 301 citations
- DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling (2020) — 15 citations
- DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (2019) — 299 citations
- EAT-NAS: elastic architecture transfer for accelerating large-scale neural architecture search (2019) — 25 citations
- DATA: Differentiable ArchiTecture Approximation (2019) — 56 citations
- RealPoint3D: Point Cloud Generation from a Single Image with Complex Background (2018) — 11 citations