Pierre Moulin
Professor
Studies image and video processing and statistical learning, including recognition and information hiding.
Pierre Moulin's lab at UIUC works on recognition, detection & segmentation, video understanding and learning theory & optimization. 4 papers since 2023, 1 at top venues, mostly CVPR and Pattern Recognition. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 25%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 1 papers2024 · T1 0
- 3 papers2023 · T1 1
T1 venuesOtherVenues: CVPR, Pattern Recognition
Research focuspaper titles that use each topic's words
- Learning theory & optimization2 papers
- Recognition, detection & segmentation1 paper
- Video understanding0 papers
- video processing0 papers
- statistical learning0 papers
Paper list
From DBLP.
20241 paper
- IEEE Trans. Inf. Forensics Secur.Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations (opens in a new tab)
20233 papers
- CVPR (T1)Deep Semi-Supervised Metric Learning with Mixed Label Propagation (opens in a new tab)
- Pattern RecognitionImproving adversarial robustness by learning shared information (opens in a new tab)
- IEEE Trans. Inf. Forensics Secur.Label-Consistent Generalizable Hash Codes (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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- SGNTU
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- USMIT
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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