wanghewei16 / amdcnet-for-stereo-matching

[Elsevier Displays 2022] Propose visual sensitivity regularization in cost calculation stage and multi-directional aggregation template, optimize parallax through left-right consistency detection.

Hi 👋, I'm Stephen H. Wang

Hi! I am Stephen H. Wang👋, a master's student at Carnegie Mellon University, School of Computer Science (CMU SCS). I am working as Computer Vision Student Researcher at Meta Reality Labs. My interests lie in computer vision, geometry, machine learning, and deep learning. I originally graduated from University College Dublin (UCD) in Ireland, earning a Bachelor’s in Software Engineering. During UCD, I took on a role as an ML/CV research intern in THEIA lab and collaborated with Nanyang Technological University (NTU), supervised by Assoc Prof Yee Hui Lee and Dr. Soumyabrata Dev. My endeavors have culminated in 10+ works with 100+ citations published and delivered in esteemed conferences, journals, workshops including CVPR, IEEE, SCI, and Elsevier.

👨‍🎓 Obtained First Class Honor at UCD, and as an undergraduate researcher at the UCD THEIA lab advised by Dr. Soumyabrata Dev.
💼 Worked as a machine learning engineer intern at Institute of Automation, Chinese Academy of Sciences (CASIA).
💡 I'm interested in computer vision and machine learning, particularly 3D scene construction and 3D-aware image synthesis.
🔥 Recently, I am fascinated by hybrid optical-electronic CNN, especially its low-power application in image processing.
🔍 Linkedin | Google Scholar | ResearchGate

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