Vibhas Vats

According to our database, Vibhas Vats authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Geometric Constraints in Deep Learning Frameworks: A Survey.

Vibhas K. Vats, David Crandall

ACM Comput. Surv., October, 2025

Blending 3D Geometry and Machine Learning for Multi-View Stereopsis.

Vibhas Vats, Md. Alimoor Reza, David Crandall, Soon-Heung Jung

CoRR, May, 2025

Learning Case Features with Proxy-Guided Deep Neural Networks.

Vibhas Vats, Zachary Wilkerson, Hiroki Sato, David Leake, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2025

2024

GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo.

Vibhas K. Vats, Sripad Joshi, David J. Crandall, Md. Alimoor Reza, Soon-Heung Jung

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach.

Zachary Wilkerson, David Leake, Vibhas Vats, David Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2024

2023

Examining the Impact of Network Architecture on Extracted Feature Quality for CBR.

David Leake, Zachary Wilkerson, Vibhas Vats, Karan Acharya, David J. Crandall

Proceedings of the Case-Based Reasoning Research and Development, 2023

2021

Controlling the Quality of Distillation in Response-Based Network Compression.

Vibhas Vats, David Crandall

CoRR, 2021