Jiawei Yang

CN Name: 杨佳伟
CS PhD at USC

I’m a first-year PhD student at USC, supervised by Prof. Yue Wang. He is super nice!

I study neural radiance fields (NeRF), self-supervised learning and 3D perception. My goal is to lift the 2D-3D correspondence to a higher level, and explore the possibility of instilling 3D understanding into 2D models. I’m a firm believer in simplicity and scalability that I love simple ideas that scale well and work well.

News

Aug 18, 2023 Join USC as a PhD student! 🥳 Let’s go Trojans! 🏈
Jul 10, 2023 Super excited to join Autonomous Vehicle Group at Nvidia Research as a research intern.
Feb 27, 2023 Our FreeNeRF was accepted to CVPR 2023 ! We can address few-shot neural rendering issues just by a few lines of code.
Sep 14, 2022 One paper on Neuron Morphology Representation Learning was accepted to NeurIPS 2022.
Jul 8, 2022 One paper on self-supervised pre-training for dense prediction was accepted to ECCV 2022.
Jun 2, 2022 Two papers were accepted to MICCAI 2022.
May 27, 2022 One journal paper was accepted to Medical Physics.
Jan 28, 2022 One paper was accepted to ICLR 2022.
Sep 18, 2021 After a gap year, I finally came to UCLA and started my Master journey 🥳

Selected Publications

  1. CVPR
    FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
    Jiawei Yang, Marco Pavone, and Yue Wang
    Proceedings of the IEEE/CVF International Conference on Computer Vision (CVPR), 2023
    arXiv Code Website
  2. NeurIPS
    TreeMoCo: Contrastive Neuron Morphology Representation Learning
    Hanbo Chen*, Jiawei Yang*, Daniel Iascone, Lijuan Liu, and 3 more authors
    Advances in Neural Information Processing Systems (NeurIPS), 2022
    PDF Code
  3. ECCV
    ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
    Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, and 2 more authors
    European Conference on Computer Vision (ECCV), 2022
    arXiv Code
  4. ICLR
    Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
    Jiawei Yang*, Hanbo Chen*, Jiangpeng Yan, Xiaoyu Chen, and 1 more author
    International Conference on Learning Representations (ICLR), 2022
    arXiv Code