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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

Jia-Chang Feng's Projects

combo icon combo

A Python Toolbox for Machine Learning Model Combination

csv_docx icon csv_docx

simple tool to transfer content from csv to docx

dsn icon dsn

Pytorch implementation of Domain Separation Networks

flownet2-pytorch icon flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

gcn-anomaly-detection icon gcn-anomaly-detection

Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

gsm icon gsm

Gate-Shift Networks for Video Action Recognition - CVPR 2020

gzsl-od icon gzsl-od

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

him-net icon him-net

Official Codes for Weakly Supervised Temporal Action Localization via Hierarchical Mining

loss_toy icon loss_toy

toy model to visualize feature space of models trained by different loss functions

manns4nmt icon manns4nmt

A series of models applying memory augmented neural networks to machine translation

matcher_plus_plus icon matcher_plus_plus

[ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

memae-anomaly-detection icon memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

mist_vad icon mist_vad

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

mmskeleton icon mmskeleton

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

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