2 papers
cs.CV2026
ProBA: Probabilistic Bundle Adjustment with the Bhattacharyya Coefficient
Jason Chui, Hector Andrade-Loarca, Daniel Cremers
Classical Bundle Adjustment (BA) is fundamentally limited by its reliance on precise metric initialization and prior camera intrinsics. While modern dense matchers offer high-fidel…
cs.CV2025
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan +3
Information Pursuit (IP) is an explainable prediction algorithm that greedily selects a sequence of interpretable queries about the data in order of information gain, updating its…