Surveys
Surveying diverse topics in AI and computer vision, synthesizing key methods, trends, challenges, and future research directions
Survey
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Publications
Geometric Constraints in Deep Learning Frameworks: A Survey
2025
Vibhas Kumar Vats, David Crandall • ACM Computing Surveys
This survey examines how geometry can be integrated into deep learning frameworks for depth estimation and related computer vision problems. It presents a taxonomy of common geometry-based constraints, compares existing methods, and discusses future research opportunities.
3D ReconstructionDepth EstimationMulti-View StereoSurvey
Deep learning-based 3D reconstruction from multiple images: A survey
2024
Chuhua Wang, Md. Alimoor Reza, Vibhas Kumar Vats, Yingnan Ju, Nikhil Thakurdesai, Yuchen Wang, David Crandall, Soon-heung Jung, Jeongil Seo • Neurocomputing
This survey presents an overview of deep learning approaches for 3D reconstruction. It groups existing work into major problem settings and compares methods based on their architecture, outputs, datasets, and quantitative results. The paper also highlights current challenges and promising directions for future research.
Survey3D ReconstructionMulti-View Stereo