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  • Dji Innovation, Tencent, Sun Yat-sen University
  • Shenzhen, China
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fjchange/README.md

All good things are on the way ahead.

Hi, I am 冯嘉昌(Jia-Chang Feng).

I join DJI Innovation as a perception algorithm engineer. Besides, I am a Master of SYSU (Sun-Yat-Sen University), supervised by Wei-Shi Zheng.

🔭 Reseach-wise, I mainly focus on:

  • Video Understanding and Robotics Perception.
  • More specifically, Video Event Detection and Retrieval, Stereo Vision, Semantic Segmentation, Light-Weight Vision Network.

😄 I am open to:

  • A job offer with computer vision research and engineering
  • A PhD position

🌱 Publications:

  • Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization. ACM MM 2021 paper
  • MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection. CVPR 2021 paper
  • Weakly-supervised Action Localization via Hierarchical Mining. Arxiv
  • Weakly-Supervised Temporal Action Localization by Progressive Complementary Learning Arxiv

📫 Contact me by:

💬 News:

  • 2022-12-27: I serve as a reviewer for Pattern Recognition (PR).
  • 2022-11-17: I serve as a reviewer for IEEE Transactions on Multimedia (TMM).
  • 2022-11-09: I serve as a reviewer for IEEE Transactions on Circuits and Systems for Video Technology (TSCVT).
  • 2022-07-05: I join DJI as a UAV perception algorithm engineer.
  • 2022-06-24: The internship in ARC Lab of Tencent comes to its end.
  • 2022-06-13: I'm honored with Outstanding Graduate of SYSU.
  • 2022-05-27: A paper about Self-Supervised Visual Pretraining is submitted to NeurIPS 2022.
  • 2022-05-04: I serve as a reviewer for ECCV 2022.
  • 2021-12-31: I serve as a reviewer for PRCV 2022.
  • 2021-12-08: I serve as a reviewer for Neurocomputing.
  • 2021-07-04: A paper about weakly supervised action localization is accepted on ACM MM 2021.
  • 2021-06-29: I serve as a reviewer of PRCV 2021.
  • 2021-06-02: I will start my internship in Applied Research Center Lab (ARC Lab), Platform and Content Group (PCG) of Tencent, to do some research on video understanding and analysis, under the supervision of Ying Shan and Zhongang Qi
  • 2021-05-08: I give a speak on CSIG-Guangdong CVPR Sharing ppt.
  • 2021-04-18: One paper about Video Action Localization is submitted on ACM MM 2021.
  • 2021-04-01: One paper about Video Anomaly Detection is accepted on CVPR 2021. MIST

Jia-Chang's github stats Top Langs

Pinned

  1. MIST_VAD MIST_VAD Public

    Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

    Python 114 27

  2. harlanhong/MM2021-CO2-Net harlanhong/MM2021-CO2-Net Public

    Python 37 4

  3. awesome-video-anomaly-detection awesome-video-anomaly-detection Public

    Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

    559 96

  4. HiM-Net HiM-Net Public

    Official Codes for Weakly Supervised Temporal Action Localization via Hierarchical Mining

    Python

  5. pytorch_ano_pre pytorch_ano_pre Public

    Pytorch Re-implement of ano_pre_cvpr2018, flownet2 / lite-flownet used.

    Python 49 20

  6. object_centric_VAD object_centric_VAD Public

    An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"

    Python 95 30