Scholar
Trong-Thang Pham
Google Scholar ID: SwR0T0UAAAAJ
University of Arkansas, Fayetteville
Citations & Impact
Citations
195
H-index
7
i10-index
6
Publications
19
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - 'CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling' accepted to ICCV 2025 as Highlight
- - 'Interpreting Radiologist's Intention from Eye Movements in Chest X-ray Diagnosis' selected for Outstanding Paper Award in Content Theme at ACM MM 2025
- - 'A2VIS: Amodal-Aware Approach to Video Instance Segmentation' accepted to Image and Vision Computing, Elsevier
- - 'ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions' accepted to Artificial Intelligence in Medicine (AIM), Elsevier, etc.
Research Experience
- Worked as a core R&D researcher at AIOZ Singapore, developing digital twin technologies including talking face generation and 3D human models for metaverse applications. The team published two papers at CVPRW and CVPR.
Education
- PhD candidate at the University of Arkansas, Fayetteville, under the supervision of Dr. Ngan Le.
Background
- Interested in human behavior in professional settings, particularly how professionals behave during high-stake decision tasks and the cognitive goals driving their behavioral patterns. Combines computer vision, interpretable AI, and deep learning to develop new models that capture and mimic human behavior in workplace environments. Current PhD work focuses on the medical/cardiology domain.
Miscellany
- Genuinely loves receiving emails and hearing from fellow researchers, students, engineers, and anyone interested in computer vision, medical AI, or related fields. Open to discussions about research, sharing ongoing work, exploring potential collaborations, or chatting about interesting ideas in the field.
