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Minh-Triet Tran

4 papers hereh-index 212 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Minh-Triet Tran — 30 papers, h 3
  • Minh-Triet Tran — 12 papers, h 3
  • Minh-Triet Tran — 7 papers, h 1
  • Minh-Triet Tran — 5 papers, h 6
  • Minh-Triet Tran — 4 papers, h 6
  • Minh-Triet Tran — 4 papers, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2026

EDGER: EDge-Guided with HEatmap Refinement for Generalizable Image Forgery Localization

Minh-Khoa Le-Phan, Minh-Hoang Le, Minh-Triet Tran +1

Text-guided inpainting has made image forgery increasingly realistic, challenging both SID and IFL. However, existing methods often struggle to point out suspicious signals across…

cs.CV2026

EditSleuth: A Dataset of Grounded Reasoning Chains for Image-Edit Forensics

Van-Loc Nguyen, AprilPyone MaungMaung, Minh-Triet Tran +1

Forensic analysis of AI-edited images requires more than binary real-versus-fake prediction: a useful system should localize the edit, identify its semantic type, and ground its de…

cs.CV2026

Robust Deepfake Detection: Mitigating Spatial Attention Drift via Calibrated Complementary Ensembles

Minh-Khoa Le-Phan, Minh-Hoang Le, Trong-Le Do +1

Current deepfake detection models achieve state-of-the-art performance on pristine academic datasets but suffer severe spatial attention drift under real-world compound degradation…

cs.CV2026

Robust Deepfake Detection, NTIRE 2026 Challenge: Report

Benedikt Hopf, Radu Timofte, Chenfan Qu +54

Robustness is a long-overlooked problem in deepfake detection. However, detection performance is nearly worthless in the real world if it suffers under exposure to even slight imag…

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