Xiaopeng Zhang
Computer Vision and Pattern Recognition · 2011–2023
A researcher in the Science corpus: 17 papers; trusts 1,426 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 559 citations into it; #5,341 of 21,575 by trust here, #2,729 by citations
- Artificial Intelligence — 283 citations into it; #17,678 of 35,345 by trust here, #9,092 by citations
- Computer Graphics and Computer-Aided Design — 100 citations into it
- Model Architectures — 77 citations into it
- Representation & Self-Supervised Learning — 67 citations into it
- Efficiency & Compression — 42 citations into it
- Optimization & Training — 42 citations into it
- Generative Models — 40 citations into it
Whom Xiaopeng Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Diederik P. Kingma
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
- Ilya Sutskever
Who trusts Xiaopeng Zhang overall
- Heliang Zheng
- Jianlong Fu
- Xiangteng He
- Yuxin Peng
- Li Yuan
- Xiu-Shen Wei
- Kai Han
- Peiqin Zhuang
- Jianyuan Guo
- Ming Sun
Papers from Xiaopeng Zhang's perspective
Ordered by how strongly the researchers Xiaopeng Zhang 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)
- Long Short-Term Memory
- 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
- Picking Deep Filter Responses for Fine-Grained Image Recognition (2016) — 339 citations
- Distilling Object Detectors With Fine-Grained Feature Imitation (2019) — 476 citations
- Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning (2022) — 47 citations
- Central Similarity Quantization for Efficient Image and Video Retrieval (2019) — 374 citations
- Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation (2021) — 5,366 citations
- Fast Dynamic Radiance Fields with Time-Aware Neural Voxels (2022) — 463 citations
- On building an accurate stereo matching system on graphics hardware (2011) — 612 citations
- 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering (2023) — 1,495 citations
- ControlVideo: Training-free Controllable Text-to-Video Generation (2023) — 369 citations
- PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search (2019) — 703 citations
- Circumventing Outliers of AutoAugment with Knowledge Distillation (2020) — 68 citations
- Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss (2021) — 609 citations
- GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models (2023) — 319 citations
- Distilling Object Detectors with Task Adaptive Regularization (2020) — 73 citations
- Few-Shot Adaptive Faster R-CNN (2019) — 151 citations
- PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search (2019) — 150 citations
- Anomalous Channel‐Length Dependence in Nanofluidic Osmotic Energy Conversion (2017) — 162 citations