Cheng-Yen (Chris) Yang

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I am currently a Ph.D. candidate in the Department of Electrical & Computer Engineering at University of Washington. I am working with Prof. Jenq-Neng Hwang and the Information Prcoessing Lab.

Prior to that, I received my M.S. degree in ECE at University of Washington and B.S. degree in EE at National Taiwan University. I worked with Prof. Yu-Chiang Frank Wang at the Vision and Learning Lab on computer vision.

My research interests lie around Visual Object Tracking and Multi-Object Tracking (Single-View, Multi-View, Cross-View). I am currently seeking a full-time research scientist or engineering position starting in late 2025.

news

Jun 30, 2025 We won the :trophy: 1st place in the AI City Challenge 2025 Track 3: Warehouse Spatial Intelligence!
Jun 16, 2025 1 paper accepted by the IROS 2025, Hunzhou, China :cn:.
May 19, 2025 1 paper accepted by the AVSS 2025, Tainan, Taiwan.
Feb 26, 2025 1 paper accepted by the CVPR 2025, Nashville, USA :us:.
Dec 20, 2024 1 paper accepted by the ICASSP 2025, Hyderabad, India :india:.
Nov 18, 2024 We release SAMURAI, project page and code are available at [Page] and [GitHub]. 6k+ stars :star: and 400+ forks in less than a month!
Oct 07, 2024 We won the :trophy: 1st place in Multi-Modal Visual Pattern Recognition Workshop Track 1: Multi-Modal Tracking !
Aug 26, 2024 1 paper accepted by the ECCV 2024 Workshop, Milan, Italy :it:.
Jun 10, 2024 Start my summer internship as a deep learning engineer intern of Metropolis Team at Nvidia (Santa Clara, CA & Redmond, WA) working with Dr.Thomas Tang and Dr.Yizhou Wang!!
Apr 24, 2024 1 paper accepted by the CVPR 2024 Workshop, Seattle, USA :us:.
Dec 13, 2023 2 papers accepted by the ICASSP 2024, Seoul, Korea :kr:.
Nov 06, 2023 We won the :trophy: 1st place in two of the tracks in 2nd Workshop on Maritime Computer Vision (MaCVi): (1) UAV-based Multi-Object Tracking with Reidentification on SeaDroneSee-MOT and (2) USV-based Multi-Object Tracking on BoaTrack!
Jun 21, 2023 1 paper accepted by the ICIP 2023, Kuala Lumpur, Malaysia :malaysia:.
Mar 24, 2023 1 paper accepted by the CVPR 2023 Workshop, Vancouver, Canada :canada:.
Mar 24, 2023 We won the :trophy: 1st place in the AI City Challenge 2023 Track 1: Mutli-Camera People Tracking!

selected publications

  1. SAMURAI
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    SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
    Cheng-Yen Yang, Hsiang-Wei Huang, Wenhao Chai, Zhongyu Jiang, and Jenq-Neng Hwang
    In arXiv preprint, Nov 2024
  2. CVPR 2024: AICity
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    An Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence
    Cheng-Yen Yang, Hsiang-Wei Huang, Pyong-Kun Kim, Zhongyu Jiang, Kwang-Ju Kim, Chung-I Huang, Haiqing Du, and Jenq-Neng Hwang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2024
  3. ICASSP 2024
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    A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Videos
    Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Hao Wang, Farron Wallce, and Jenq-Neng Hwang
    In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Apr 2024
  4. WACV 2024: MaCVi
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    Sea You Later: Metadata-Guided Long-Term Re-Identification for UAV-Based Multi-Object Tracking
    Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Chung-I Huang, and Jenq-Neng Hwang
    In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2024
  5. ICIP 2023
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    Multi-object Tracking by Iteratively Associating Detections with Uniform Appearance for Trawl-based Fishing Bycatch Monitoring
    Cheng-Yen Yang, Alan Yu Shyang Tan, Melanie J. Underwood, Charlotte Bodie, Zhongyu Jiang, Steve George, Karl Warr, Jenq-Neng Hwang, and Emma Jones
    In 2023 IEEE International Conference on Image Processing (ICIP), Oct 2023
  6. CVPR 2023: AICity
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    Enhancing Multi-Camera People Tracking with Anchor-Based Clustering and Spatio-Temporal Consistency Calibration
    Cheng-Yen Yang*, Hsiang-Wei Huang*, Zhongyu Jiang, and Jenq-Neng Hwang
    In 2023 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2023
  7. ICME 2022
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    Unsupervised Domain Adaptation Learning for Hierarchical Infant Pose Recognition with Synthetic Data
    Cheng-Yen Yang, Zhongyu Jiang, Shih-Yu Gu, Jenq-Neng Hwang, and Jang-Hee Yoo
    In 2022 IEEE International Conference on Multimedia and Expo (ICME), Jun 2022