Xiaokang Chen / 陈小康
Ph.D. Student at Peking University
pkucxk@pku.edu.cn

Xiaokang Chen

I am currently a fourth-year Ph.D student at Peking University (PKU), supervised by Professor Gang Zeng. Before that, I received my Bachelor’s degree at Peking University in July 2019.


My research interests are in Computer Vision, including Self-Supervised Learning, 2D/2.5D Semantic Segmentation, Semantic Scene Completion and Object Detection.


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News
  • 2022.09   Our Compressible-Composable NeRF (CC-NeRF) is accepted by NeurIPS 2022. Code is available here.
  • 2022.09   I am selected as the representative of freshmen to participate in the symposium held by Peking University.
  • 2022.07   One paper on Instance Mesh Reconstruction (DIMR) is accepted by ECCV 2022. Code is available here.
  • 2022.02   Please check our CAE, a novel MIM approach for self-supervised learning.
  • 2021.12   Joined Baidu as a research intern.
  • 2021.12   One paper is accepted by AAAI 2022!
  • 2021.07   Our Conditional DETR is accepted by ICCV 2021! Code is available here.
  • 2021.07   I am selected as "Top 10 Outstanding Researcher" (学术十杰), EECS of Peking University.
  • 2021.07   One paper is accepted by ACM MM 2021!
  • 2021.06   I have released the code and data for our CVPR 2021 paper CPS. Please check here.
  • 2021.03   One paper is accepted by CVPR 2021!
  • 2020.07   One paper is accepted by ECCV 2020!
  • 2020.06   Joined MSRA as a research intern.
  • 2020.05   One paper is accepted by ICIP 2020!
  • 2020.03   One paper is accepted by CVPR 2020!

Publications ( Google Scholar)

Xiaokang Chen, Mingyu Ding, Xiaodi Wang, Ying Xin, Shentong Mo, Yunhao Wang, Shumin Han, Ping Luo, Gang Zeng, Jingdong Wang
Context Autoencoder for Self-Supervised Representation Learning
Arxiv Preprint, 2022
[Paper] [Code] [中文解读]
Xiaokang Chen, Jiahui Chen, Yan Liu and Gang Zeng
D3ETR: Decoder Distillation for Detection Transformer
Arxiv Preprint, 2022
[Paper]
Qiang Chen*, Xiaokang Chen*, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Gang Zeng and Jingdong Wang (*: Equal Contribution)
Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment
Arxiv Preprint, 2022
[Paper] [中文解读]
Xiaokang Chen, Fangyun Wei, Gang Zeng and Jingdong Wang
Conditional DETR V2: Efficient Detection Transformer with Box Queries
Arxiv Preprint, 2022
[Paper]
Jiaxiang Tang*, Xiaokang Chen*, Jingbo Wang* and Gang Zeng (*: Equal Contribution)
Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective
AAAI Conference on Artificial Intelligence (AAAI), 2022
[Paper]
Depu Meng*, Xiaokang Chen*, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun and Jingdong Wang (*: Equal Contribution)
Conditional DETR for Fast Training Convergence
International Conference on Computer Vision (ICCV), 2021
[Paper] [Code] [中文解读]
Xiaokang Chen, Yuhui Yuan, Gang Zeng and Jingdong Wang
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[Paper] [Code] [Poster] [Slides] [Video (YouTube)] [中文解读]
Xiaokang Chen, Kwan-Yee Lin, Jingbo Wang, Wayne Wu, Chen Qian, Hongsheng Li, and Gang Zeng
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
European Conference on Computer Vision (ECCV), 2020
[Paper] [Code]
Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng and Hongsheng Li
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[Paper] [Code] [Supplementary Material] [Demo Video]
Xiaokang Chen, Yajie Xing and Gang Zeng
Real-time Semantic Scene Completion Via Feature Aggregation and Conditioned Prediction
International Conference on Image Processing (ICIP), 2020
Jiaxiang Tang, Xiaokang Chen, Jingbo Wang and Gang Zeng
Compressible-composable NeRF via Rank-residual Decomposition
Neural Information Processing Systems (NeurIPS), 2022
[Paper] [Code]
Jiaxiang Tang, Xiaokang Chen, Jingbo Wang and Gang Zeng
Point Scene Understanding via Disentangled Instance Mesh Reconstruction
European Conference on Computer Vision (ECCV), 2022
[Paper]
Jiaxiang Tang, Xiaokang Chen and Gang Zeng
Joint Implicit Image Function for Guided Depth Super-Resolution
ACM Multimedia (ACM MM), 2021
[Paper] [Code]
Min Zhong, Xinghao Chen, Xiaokang Chen, Gang Zeng, Yunhe Wang
MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation
IEEE International Conference on Multimedia and Expo (ICME), 2022
[Paper]
Yajie Xing, Jingbo Wang, Xiaokang Chen and Gang Zeng
2.5D Convolution for RGB-D Semantic Segmentation
International Conference on Image Processing (ICIP), 2019
Yajie Xing, Jingbo Wang, Xiaokang Chen and Gang Zeng
Coupling Two-Stream RGB-D Semantic Segmentation Network by Idempotent Mappings
International Conference on Image Processing (ICIP), 2019
Qiang Chen, Jian Wang, Chuchu Han, Shan Zhang, Zexian Li, Xiaokang Chen, Jiahui Chen, Xiaodi Wang, Shuming Han, Gang Zhang, Haocheng Feng, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining
Arxiv Preprint, 2022 64.5 mAP on COCO test set!
[Paper]
Xinyu Zhang, Jiahui Chen, Junkun Yuan, Qiang Chen, Jian Wang, Xiaodi Wang, Shumin Han, Xiaokang Chen, Jimin Pi, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
CAE v2: Context Autoencoder with CLIP Target
Arxiv Preprint, 2022
[Paper]

Education

  • [2022.09-2024.07]   Phd. student at Key Laboratory of Perception (MoE), School of AI, Peking University.
  • [2019.09-2022.07]   Master student at Key Laboratory of Perception (MoE), School of AI, Peking University.
  • [2015.09-2019.07]   Bachelor of Science at School of EECS, Peking University.

Experiences

Selected Honors

  • National Scholarship, (Ministry of Education, People's Republic of China), 2021, 2022
  • Merit Student of Peking University, PKU, 2020, 2021, 2022
  • Award for Academic Innovation, PKU, 2021
  • Top 10 Outstanding Researcher (学术十杰), EECS of Peking University, 2021
  • Huawei Scholarship, PKU, 2021
  • Schlumberger Scholarship, PKU, 2020
  • Award for Excellent Research, PKU, 2019
  • Award for Academic Excellents, PKU, 2018

Academic Activities

  • Conference reviewer of: AAAI (2022,2023), NeurIPS (2022), ICML (2022), CVPR (2022,2023), ECCV (2022), ICCV (2021).
  • Journal reviewer of: IJCV (2021,2022), TPAMI (2021), TIP (2022), TCSVT (2022), Neurocomputing (2022), CVIU (2022).