Research Interests

My research mainly focus on Computer Vision and their applications on mobile device.

Specifically, my current research interests include:

• 3D Digital Human(including: human reconstruction, performance capture, transfer and generation, neural rendering)
• 3D environment semantic understanding
• Multimodal video understanding
• Image and video retrieval;
• Object detection and semantic segmentation for image and video

Publications

My Google Scholar

2022

• Discrepant multiple instance learning for weakly supervised object detection
  Wei Gao, Fang Wan, Jun Yue, Songcen Xu, Qixiang Ye
  Pattern Recognition. 2022

2021

• DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency
  Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li
  International Conference on Computer Vision. 2021

• Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
  Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia
  International Conference on Computer Vision. 2021

• Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE
  Jialun Peng, Dong Liu, Songcen Xu, Houqiang Li
  IEEE Conference on Computer Vision and Pattern Recognition. 2021

• Multiple Instance Active Learning for Object Detection
  Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, Qixiang Ye
  IEEE Conference on Computer Vision and Pattern Recognition. 2021

• Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment
  Mengying Fu, Tianning Yuan, Fang Wan, Songcen Xu, Qixiang Ye
  AAAI Conference on Artificial Intelligence. 2021

2020

• Renovating Parsing R-CNN for Accurate Multiple Human Parsing
  Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu, Xueshi Xin, Wenhe Jia, Songcen Xu
  European Conference on Computer Vision. 2020

• Index Network
  Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu
  IEEE Transactions on Pattern Analysis and Machine Intelligence. 2020.

• DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
  Wei Yin, Xinlong Wang, Chunhua Shen, Yifan Liu, Zhi Tian, Songcen Xu, Changming Sun, Dou Renyin
  arxiv. 2020

2019

• Indices Matter: Learning to Index for Deep Image Matting
  Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu
  International Conference on Computer Vision. 2019