Houwen Peng
Computer Vision and Pattern Recognition · 2014–2023
A researcher in the Science corpus: 17 papers; trusts 1,950 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 706 citations into it; #10,928 of 21,575 by trust here, #3,582 by citations
- Artificial Intelligence — 331 citations into it
- Model Architectures — 153 citations into it
- Evaluation & Benchmarks — 77 citations into it
- Efficiency & Compression — 55 citations into it
- Optimization & Training — 55 citations into it
- Electrical and Electronic Engineering — 41 citations into it
- Safety, Risk, Reliability and Quality — 40 citations into it
Whom Houwen Peng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- Christian Szegedy
Who trusts Houwen Peng overall
- Deng-Ping Fan
- Hao Chen
- Xin Chen
- Runmin Cong
- Botao Ye
- Jason Kuen
- H. Wang
- Bin Yan
- Keren Fu
- Ming-Ming Cheng
Papers from Houwen Peng's perspective
Ordered by how strongly the researchers Houwen Peng 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language (2019) — 606 citations
- Rethinking and Improving Relative Position Encoding for Vision Transformer (2021) — 450 citations
- Deeper and Wider Siamese Networks for Real-Time Visual Tracking (2019) — 954 citations
- Learning Spatio-Temporal Transformer for Visual Tracking (2021) — 1,143 citations
- Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training (2021) — 100 citations
- AutoFormer: Searching Transformers for Visual Recognition (2021) — 350 citations
- The Eighth Visual Object Tracking VOT2020 Challenge Results (2020) — 345 citations
- RGBD Salient Object Detection: A Benchmark and Algorithms (2014) — 648 citations
- The Seventh Visual Object Tracking VOT2019 Challenge Results (2019) — 486 citations
- EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention (2023) — 807 citations
- SeqTrack: Sequence to Sequence Learning for Visual Object Tracking (2023) — 408 citations
- TinyViT: Fast Pretraining Distillation for Small Vision Transformers (2022) — 538 citations
- Expanding Language-Image Pretrained Models for General Video Recognition (2022) — 522 citations
- PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies (2022) — 1,153 citations
- Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search (2020) — 74 citations
- Ocean: Object-aware Anchor-free Tracking (2020) — 824 citations
- Salient Object Detection via Structured Matrix Decomposition (2017) — 349 citations