Chengjian Feng

I am currently a research scientist at Meituan Inc.

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My research is in the area of computer vision. I am particularly interested in object detection and zero-shot learning.

clean-usnob PromptDet: Towards Open-vocabulary Detection using Uncurated Images
Chenjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma
ECCV, 2022
project page / arXiv

We propose an open-vocabulary object detector PromptDet, which is able to detect novel categories without any manual annotations.

clean-usnob TOOD: Task-aligned One-stage Object Detection
Chenjian Feng, Yujie Zhong, Yu Gao, Matthew R. Scott, Weilin Huang
ICCV, 2021 (Oral)
project page / arXiv

We propose a Task-aligned One-stage Object Detection (TOOD) that explicitly aligns the classification and localization tasks in a learning-based manner.

clean-usnob Exploring Classification Equilibrium in Long-Tailed Object Detection
Chenjian Feng, Yujie Zhong, Weilin Huang
ICCV, 2021
project page / arXiv

We balance the classification of the long-tailed detector via an Equilibrium Loss (EBL) and a Memory-augmented Feature Sampling (MFS) method.

clean-usnob Domain adaptation with SBADA-GAN and Mean Teacher
Chenjian Feng, Zhaoshui He, Jiawei Wang, Qinzhuang Lin, Zhouping Zhu, Jun Lv, Shengli Xie
Neurocomputing, 2020

We propose a powerful model for unsupervised domain adaptation by introducing Mean Teacher as a target classifier of SBADA-GAN.

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