Haoyu Chen | University of Oulu I am now a Tenure-track Assistant Professor at CMVS, University of Oulu. I am also a co-founder of the AI startup: Aitomore and a restaurant Aitofresh. Before that, I conducted Postdoc research in CMVS, University of Oulu, with the project of in Emotion AI (Academy Finland project) and trustworthy AI (Infotech project). I received my Ph.D. from University of Oulu , Finland, where I was advised by Academy Professor Guoying Zhao. During my PhD study, I visited CEL, TUDelft, the Netherlands. Prior to that, I received the B.E. degree from China University of Geosciences, China, and Master degree from University of Oulu, Finland. My research interests include Machine Learning, Human Behaviour Analysis, Emotion AI and Adversarial Learning. I strongly believe we are here, on this planet, time, and realm to experience, learn and grow, which gives me a huge passion about developing myself in a lifetime. Aside from research, I also find huge interest in street dance (Breakin), snowboarding, basketball, Twitch streaming, reading, writing blogs, keeping daily dairy, and Lonkero. Attention: We are recruiting self-motivated PostDoc and PhD candidates to join my research team, focusing on Hybrid Intelligence. Please email me with your CV and motivation letter if you are interested in self-funded studying or researching. |
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Towards Robust 3D Pose Transfer with Adversarial Learning |
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer |
SMG: A Micro-Gesture Dataset Towards Spontaneous Body Gestures for Emotional Stress State Analysis |
Geometry-Contrastive Transformer for Generalized 3D Pose Transfer |
AniFormer: Data-driven 3D Animation with Transformer. |
Intrinsic-extrinsic preserved gans for unsupervised 3D pose transfer |
iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis |
Temporal hierarchical dictionary guided decoding for online gesture segmentation and recognition |
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition |
Learning graph convolutional network for skeleton-based human action recognition by neural searching |
3D skeletal gesture recognition via hidden states exploration |