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Angtian Wang

Research Scientist
ByteDance / TikTok
angtianwang@jhu.edu


About Me

Angtian Wang is a Research Scientist at ByteDance. Previously he received his PhD in Computer Science from Johns Hopkins University under the guidance of Bloomberg Distinguished Professor Alan L. Yuille. His research primarily focuses on 3D computer vision. He has completed internships at TikTok and Meta Reality Lab.

Research Interests

Publications

  1. AAAI
    HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction
    Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos, Robert Maier, Edmond Boyer, Alan Yuille, Tony Tung
    AAAI Conference on Artificial Intelligence (AAAI), 2024.
    PDF Project Page
  2. WACV
    Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis
    Angtian Wang, Wufei Ma, Alan Yuille, Adam Kortylewski
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
    PDF Project Page
  3. ICLR
    VoGE: A Differentiable Volume Renderer using Neural Gaussian Ellipsoids
    Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan Yuille
    IEEE/CVF International Conference on Learning Representations (ICLR), 2023.
    PDF Code
  4. NIPS
    Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
    Angtian Wang, Shenxiao Mei, Alan Yuille, Adam Kortylewski
    Conference on Neural Information Processing Systems (NIPS), 2021.
    PDF Code
  5. ICLR
    NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
    Angtian Wang, Adam Kortylewski, Alan Yuille
    International Conference on Learning Representations (ICLR), 2021.
    PDF Code
  6. CVPR
    Robust Object Detection Under Occlusion With Context-Aware CompositionalNets
    Angtian Wang*, Yihong Sun*, Adam Kortylewski, Alan Yuille
    IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2020.
    PDF Code
  7. CVPR
    Structure-Aware Sparse-View X-ray 3D Reconstruction
    Yuanhao Cai, Jiahao Wang, Alan Yuille, Zongwei Zhou, Angtian Wang
    IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024.
    PDF Code
  8. ICLR
    Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos.
    Fengrui Tian, Yueqi Duan, Angtian Wang, Jianfei Guo, Shaoyi Du
    International Conference on Learning Representations (ICLR), 2024.
    PDF Code
  9. ICLR
    Adding 3D Geometry Control to Diffusion Models
    Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Xiaoding Yuan, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan Yuille
    International Conference on Learning Representations (ICLR), 2024.
    PDF Code Project Page
  10. WACV
    Robust Category-Level 3D Pose Estimation from Synthetic Data
    Jiahao Yang, Wufei Ma, Angtian Wang, Xiaoding Yuan, Alan Yuille, Adam Kortylewski
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
    PDF
  11. ICCV
    3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
    Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan Yuille
    International Conference on Computer Vision (ICCV), 2023.
    PDF Code Project Page
  12. WACV
    CoKe: Localized Contrastive Learning for Robust Keypoint Detection
    Yutong Bai*, Angtian Wang*, Adam Kortylewski, Alan Yuille
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.
    PDF
  13. ECCV
    Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
    Wufei Ma, Angtian Wang, Alan Yuille, Adam Kortylewski
    European Conference on Computer Vision (ECCV), 2022.
    PDF Code
  14. ECCV
    OOD-CV: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts
    Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski
    European Conference on Computer Vision (ECCV), 2022.
    PDF Project Page
  15. IJCV
    Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion
    Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan Yuille
    International Journal of Computer Vision (IJCV), 2020.
    PDF Code
  16. MICCAI
    Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation
    Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot Fishman, Alan Yuille, Seyoun Park
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
    PDF
  17. ECCV
    Weakly Supervised Region Proposal Network and Object Detection
    Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan Yuille
    European Conference on Computer Vision (ECCV), 2018.
    PDF
  18. arXiv Preprint
    Learning a Category-level Object Pose Estimator without Pose Annotations
    Fengrui Tian, Yaoyao Liu, Adam Kortylewski, Yueqi Duan, Shaoyi Du, Alan Yuille, Angtian Wang
    arXiv preprint 2024
    PDF
  19. arXiv Preprint
    Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis
    Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan Yuille
    arXiv preprint 2024
    PDF
  20. arXiv Preprint
    Robust 3D-aware Object Classification via Discriminative Render-and-Compare
    Artur Jesslen, Guofeng Zhang, Angtian Wang, Alan Yuille, Adam Kortylewski
    arXiv preprint 2023
    PDF
  21. arXiv Preprint
    Benchmarking Robustness in Neural Radiance Fields
    Chen Wang, Angtian Wang, Junbo Li, Alan Yuille, Cihang Xie
    arXiv preprint 2023
    PDF

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