Chaohui Yu (于超辉)
DAMO Academy, Alibaba Group
- superhuiych [at] gmail.com
- Google Scholar
- GitHub
I'm an algorithm engineer at DAMO Academy, Alibaba Group. Before this, I got my Master degree and Bachelor degree from Institute of Computing Technology (ICT) and Shandong University in 2020 and 2017, respectively. My research interest includes: Transfer Learning, Object Detection/Segmentation, Semi/Self-supervised Learning, Multimodal Learning, image/video/3D/4D Generation, and related applications.
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MVGenMaster: Scaling Multi-View Generation from Any Image via 3D Priors Enhanced Diffusion Model
The Conference on Computer Vision and Pattern Recognition (CVPR-25)
LPM: Efficient 3D Content Creation from Single Image by Large-Scale Partial 3D Modeling.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT-25)
Animate3D: Animating Any 3D Model with Multi-view Video Diffusion
Neural Information Processing Systems. (NeurIPS-24)
MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing
Neural Information Processing Systems. (NeurIPS-24)
SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer
European Conference on Computer Vision. (ECCV-24)
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing
European Conference on Computer Vision. (ECCV-24)
MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis
European Conference on Computer Vision. (ECCV-24)
Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation
The 31th ACM International Conference on Multimedia. (ACMMM-23)
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
The Conference on Computer Vision and Pattern Recognition (CVPR-23)
LMSeg: Language-guided Multi-dataset Segmentation
The International Conference on Learning Representations 2023. (ICLR-23)
MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
The 30th ACM International Conference on Multimedia. (ACMMM-22)
Object Detection Made Simpler by Eliminating Heuristic NMS
IEEE Transactions on Multimedia (TMM-23)
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
The Conference on Computer Vision and Pattern Recognition (CVPR-21)
Transfer Learning with Dynamic Adversarial Adaptation Network
Proceedings of IEEE International Conference on Data Mining (ICDM-19)