FaceComposer: Learning Coherent and Realistic Face Composition from References Oral
IJCNN, 2026
Siyuan Yang
Wallenberg–NTU Presidential Postdoctoral Fellow
Division of Robotics, Perception and Learning, KTH Royal Institute of Technology
I am a Wallenberg–NTU Presidential Postdoctoral Fellow, currently hosted at the Division of Robotics, Perception and Learning, KTH Royal Institute of Technology and working with Prof. Hedvig Kjellström. During the first year of my fellowship, I was based at the College of Computing and Data Science, Nanyang Technological University, where I worked with Prof. Weisi Lin.
I received my Ph.D. and M.Sc. degrees from Nanyang Technological University. My Ph.D. research was conducted at the Rapid-Rich Object Search Lab and supervised by Prof. Alex C. Kot and Assoc. Prof. Shijian Lu. I received my B.Eng. degree from Harbin Institute of Technology. My research focuses on human-centered visual understanding, including video and skeleton-based action recognition, 3D human motion understanding, and human pose estimation.
Professional Service
- Area Chair: BMVC 2026, VCIP 2026
- Journal Reviewer: IEEE TPAMI, TIP, TMM, TII, TCSVT, IJCV, and others
- Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, WACV, ICME, ICASSP, and others
Awards
- Wallenberg–NTU Presidential Postdoctoral Fellowship, 2024
- Singapore Data Science Consortium Dissertation Research Fellowship, 2021 (awarded to 10 doctoral researchers annually)
Research Funding
- Principal Investigator (PI): All-in-One LLM Framework for 3D Human Motion Understanding, Nanyang Technological University, SGD 100,000, 2024
- Principal Investigator (PI): All-in-One LLM Framework for 3D Human Motion Understanding, Knut and Alice Wallenberg Foundation, SEK 300,000, 2026
Teaching
School of Electrical and Electronic Engineering, Nanyang Technological University
- Lab Instructor: EE2010/IE2110 Signals & Systems
- Teaching Assistant: EE1005 C Programming and EE4483 Artificial Intelligence and Data Mining
Selected Publications
For a complete and up-to-date publication list, please see my Google Scholar profile.
Beyond the Horizon: Decoupling Multi-View UAV Action Recognition via Partial Order Transfer
AAAI, 2026
Proactive Image Manipulation Detection and Tracing in Fake News
IEEE Transactions on Dependable and Secure Computing, 2026
Vid-Group: Temporal Video Grounding Pretraining from Unlabeled Videos in the Wild
ICCV, 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
ICML, 2025
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual
CVPR, 2025
One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
STSP: Spatial-Temporal Subspace Projection for Video Class-Incremental Learning
ECCV, 2024
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
ECCV, 2024
Unlearnable Examples Detection via Iterative Filtering Oral
ICANN, 2024
Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Frequency Guidance Matters in Few-Shot Learning Oral
ICCV, 2023
Temporal Coherent Test-Time Optimization for Robust Video Classification
ICLR, 2023
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning
ICCV, 2021
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
NeurIPS Datasets and Benchmarks Track, 2021
Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis Spotlight
ECCV, 2020
* Equal contribution. # Corresponding author.