Greetings! I’m currently a PhD student at the University of Science and Technology of China. And I serve as a research intern at Tencent.

My research interest includes:

  • semantic segmentation
  • parameter-efficient fine-tuning
  • vision foundation models
  • open-vocabulary detection/segmentation

I sincerely welcome discussions and collaborations. If you’re interested, please feel free to reach out to me via email.

🔥 News

  • 2024.09: 🔥 Delighted to announce that Masked Pre-trained Model Enables Universal Zero-shot Denoiser were accepted by NeurIPS 2024!
  • 2024.02: 🔥 Rein is accepted in CVPR 2024! [Project Page]

  • 2024.01: 🔥 Rein achieves SOTA in Cityscapes $\rightarrow$ ACDC test set generalization! PWC
  • 2023.10: 🔥 Rein is released and achieves SOTA in domain generalized semantic segmentation!
  • 2023.07: 🎉 DTP is accepted in ICCV 2023 and achieves SOTA in night-time and full-time semantic segmentation!
  • 2022.10: Our DDB receives the Spotlight Award in NeurIPS 2022!
  • 2022.09: DDB is accepted in NeurIPS 2022 and achieves SOTA with ResNet counterparts on the single-source, multi-source, and multi-target domain-adaptive semantic segmentation tasks!
  • 2022.03: A discriminator-free adversarial domain adaptation framework DALN is accepted in CVPR 2022!

📝 Publications

(* denotes equal contribution.)

CVPR 2024
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Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation
Zhixiang Wei*, Lin Chen*, Yi Jin*, Xiaoxiao Ma, Tianle Liu, Pengyang Ling, Ben Wang, Huaian Chen, Jinjin Zheng

[Project page]

  • We propose the Reins framework, which efficiently fine-tunes vision foundation models for the domain generalized semantic segmentation (DGSS) task with just 1% trainable parameters, surprisingly surpassing full parameter fine-tuning. And Reins builds a new SOTA in various DGSS benchmarks.
ICCV 2023
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Disentangle then Parse: Night-time Semantic Segmentation with Illumination Disentanglement
Zhixiang Wei*, Lin Chen*, Tao Tu, Huaian Chen, Pengyang Ling, Yi Jin

  • We propose a novel nigh-time semantic segmentation paradigm, i.e., disentangle then parse (DTP), which explicitly disentangles night-time images into light-invariant reflectance and light-specific illumination components and then recognizes semantics based on their adaptive fusion.
NeurIPS 2022 (Spotlight)
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Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
Lin Chen*, Zhixiang Wei*, Xin Jin*, Huaian Chen, Miao Zheng, Kai Chen, Yi Jin

  • We leverage the complementary characteristics of the coarse-wise and fine-wise data mixing techniques to progressively transfer the knowledge from the source to the target domain.
CVPR 2022
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Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
Lin Chen*, Huaian Chen*, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen

  • We reuse the category classifier as a discriminator to form a discriminator-free adversarial learning framework.

🎖 Honors and Awards

  • 2023.10 National Scholarship Award(Top 1%)
  • 2021~2023 The First Prize Scholarship of USTC for three consecutive years
  • 2021.05 Outstanding Graduates of Anhui Province

📝 Academic Service (Reviewer)

  • IEEE TPAMI
  • IEEE TNNLS

💬 Invited Talks