Xiangyu Zhang
E367296
Xiangyu Zhang is a computer vision and deep learning researcher known for his contributions to convolutional neural network architectures and large-scale visual recognition.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Xiangyu Zhang canonical | 4 |
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
computer vision researcher
ⓘ
deep learning researcher ⓘ person ⓘ |
| countryOfCitizenship | China ⓘ |
| fieldOfWork |
computer vision
ⓘ
deep learning ⓘ machine learning ⓘ |
| hasAffiliation |
Chinese Academy of Sciences
ⓘ
MEGVII (Face++) ⓘ Microsoft Research Asia ⓘ |
| hasRole |
author of scientific papers
ⓘ
research scientist ⓘ |
| influencedBy | deep residual networks ⓘ |
| knownFor |
ResNeXt
ⓘ
surface form:
ResNeXt architecture
ShuffleNetV2 ⓘ
surface form:
ShuffleNet architecture
convolutional neural network architectures ⓘ deep residual networks research ⓘ efficient CNN architectures ⓘ large-scale visual recognition ⓘ |
| language |
Chinese
ⓘ
English ⓘ |
| notableConcept |
aggregated residual transformations
ⓘ
channel shuffle operation ⓘ |
| notableWork |
ResNet
ⓘ
surface form:
Deep Residual Learning for Image Recognition (co-author)
ResNeXt ⓘ
surface form:
ResNeXt: Aggregated Residual Transformations for Deep Neural Networks
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices ⓘ |
| publicationVenue |
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ⓘ
surface form:
CVPR
European Conference on Computer Vision ⓘ
surface form:
ECCV
IEEE International Conference on Computer Vision ⓘ
surface form:
ICCV
ICLR ⓘ ICML ⓘ NeurIPS ⓘ |
| researchInterest |
convolutional neural networks
ⓘ
efficient neural networks ⓘ large-scale image recognition ⓘ mobile vision models ⓘ network architecture design ⓘ |
| worksOn |
image classification
ⓘ
object detection ⓘ visual recognition at scale ⓘ |
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.