Stefanos Zafeiriou
Professor in Machine Learning and Computer Vision
Works on machine learning for faces and humans, including 3D face reconstruction, face recognition and generative models of human appearance.
Stefanos Zafeiriou's lab at Imperial works on 3D vision & neural rendering, recognition, detection & segmentation and generative & foundation models. 15 papers since 2023, 9 at top venues, mostly CVPR and ICCV. 9 PhD students. 39 alumni, most often to Google. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 60%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 39
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 15 papers2023 · T1 9
T1 venuesOtherVenues: CVPR, ICCV, TIP, TPAMI
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering4 papers
- Recognition, detection & segmentation3 papers
- Generative & foundation models0 papers
- face0 papers
- faces0 papers
Paper list
From the lab homepage.
202315 papers
- CVPR WorkshopAbaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges
- ICCV (T1)Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes
- Journal of Neural EngineeringBrainWave-Scattering Net: a lightweight network for EEG-based motor imagery recognition
- ICCV WorkshopFactorized Dynamic Fully-Connected Layers for Neural Networks
- CVPR (T1)FitMe: Deep Photorealistic 3D Morphable Model Avatars
- TPAMI (T1)Free-headgan: Neural talking head synthesis with explicit gaze control
- CVPR (T1)Handy: Towards a high fidelity 3D hand shape and appearance model
- ICCV WorkshopILSH: The imperial light-stage head dataset for human head view synthesis
- IEEE Transactions on Neural Systems and Rehabilitation EngineeringImproving Generalization of CNN-based Motor-Imagery EEG Decoders via Dynamic Convolutions
- TIP (T1)Inverse Image Frequency for Long-tailed Image Recognition
- TPAMI (T1)Linear Complexity Self-Attention with 3rd Order Polynomials
- TIP (T1)Redesigning multi-scale neural network for crowd counting
Where alumni went39 listed, 100% to industry
Industry 1Academia 0
Most often to
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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