Yilun Wang
Computer Vision and Pattern Recognition · Conference on Robot Learning · 2008–2023
A researcher in the Science corpus: 11 papers; trusts 604 researchers and is trusted by 155 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 182 citations into it; #2,866 of 21,575 by trust here, #3,827 by citations
- Aerospace Engineering — 61 citations into it; #3,290 of 6,421 by trust here, #1,934 by citations
- Artificial Intelligence — 51 citations into it
- Computational Mechanics — 35 citations into it; #1,246 of 10,001 by trust here, #1,506 by citations
- Transportation — 17 citations into it; #586 of 2,062 by trust here, #420 by citations
- Model Architectures — 16 citations into it
- Environmental Engineering — 14 citations into it
- Optimization & Training — 13 citations into it
Whom Yilun Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Yann LeCun
- Ilya Sutskever
- Yoshua Bengio
- Antonin Chambolle
- Diederik P. Kingma
- Shaoqing Ren
Who trusts Yilun Wang overall
- Yu Zheng
- Chengbo Li
- Junfeng Yang
- Wotao Yin
- Yin Zhang
- Li Xu
- Matthew D. Zeiler
- Paul Tseng
- Zaiwen Wen
- Gabriele Steidl
Papers from Yilun Wang's perspective
Ordered by how strongly the researchers Yilun Wang 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)
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries (2021) — 1,126 citations
- A New Alternating Minimization Algorithm for Total Variation Image Reconstruction (2008) — 2,037 citations
- Fine-Grained Car Detection for Visual Census Estimation (2017) — 155 citations
- FUTR3D: A Unified Sensor Fusion Framework for 3D Detection (2022) — 381 citations
- Deep Neural Networks Are More Accurate Than Humans at Detecting Sexual Orientation From Facial Images (2018) — 561 citations
- Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving (2023) — 449 citations
- VectorMapNet: End-to-end Vectorized HD Map Learning (2022) — 360 citations
- Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States (2017) — 481 citations
- Travel time estimation of a path using sparse trajectories (2014) — 523 citations
- Diagnosing New York city's noises with ubiquitous data (2014) — 227 citations
- A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration (2009) — 533 citations