Pengfei Zhou

I am pursuing the M.E. degree at Institute of Computing Technology, Chinese Academy of Sciences, advised by Weiqing Min and Shuqiang Jiang.

I am also working with Food Computing Research Group, VIPL Lab, Key Lab of Intelligent Information Processing and University of Chinese Academy of Sciences.

I received my B.E. degree from Zhejiang University of Technology, where I was advised by Cong Bai. I've won the China National Scholarship and the second place at ImageCLEFlifelog2019 LMRT task.

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Research Interests

I currently research on computer vision, multimedia processing, and machine learning, particularly focusing on object detection, multimodal learning and zero-shot learning. I am also interested in health-related applications of deep learning.

Recent News
  • [2024/1/25] Our paper "Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection" is accepted by IEEE Transactions on Image Processing.
  • [2023/11/4] I am working on a survey about Artificial Intelligence in Modern Consumer-Driven Food Systems, contributing to Proceedings of the IEEE.
  • [2023/7/26] Our paper "SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection" is accepted by ACM MM 2023.
  • [2022/5/1] Our paper "CMRDF: A Real-Time Food Alerting System Based on Multimodal Data" is published by IEEE Internet of Things Journal.
  • [2022/4/28] Our paper "Self-supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution" is accepted by IEEE Transactions on Neural Networks and Learning Systems.
  • [2022/1/22] Our paper "ISDA: Position-Aware Instance Segmentation with Deformable Attention" is accepted by ICASSP 2022, presented as Oral.
Publications

Design and source code from Jon Barron