Home | People | Research | Publications | Demos |
News | Jobs |
Prospective
Students |
About | Internal |
Yunsheng Li
Department of Electrical and Computer Engineering, |
|
Bio: | |
I am currently a Ph.D student at Statistical Visual Computing Lab, Department of Electrical and Computer Engineering at University of California, San Diego (UCSD), under the supervision of Prof. Nuno Vasconcelos. Before I start my Ph.D program, I get my Master Degree in SVCL in 2017. |
|
Research: | |
My research interest is about computer vision especially about transfor learning and efficient network design. The target of transfer learning is to use a well pretrained model for other tasks with (continuous learning) or without supervision (domain adaptation). For efficient network design, the research target is to design a computational and memory efficient network backbond for classification, object detection and segmenataion tasks. Currently, I focus on the research problem about the design of efficient object detector especially the computation happened in the detector head. |
|
Publications: |
|
|
MicroNet: Towards image recognition with extremely low FLOPs |
|
Dynamic Transfer for Multi-Source Domain Adaptation |
|
Revisiting Dynamic Convolution via Matrix Decomposition |
|
Explainable Object-induced Action Decision for Autonomous Vehicles |
|
Bidirectional Learning for Domain Adaptation of Semantic Segmentation |
|
Efficient Multi-Domain Learning by Covariance Normalization |
|
Deep scene image classification with the mfafvnet |
|
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings |
|
Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes |
Thesis |
|
Dynamic Neural Networks for Resource Constrained Image Recognition |
Professional Experience |
|
Statistical Visual Computing Lab,
UC San Diego |
|
Last update: Novermber, 2021
|
©
SVCL