3 papers
cs.LG2026
Loss-Invariant Projections as Passive Probes of Learned Representations
Akshay Chandrasekhar, Pavlo Melnyk
Learned feature representations in neural networks often contain structure beyond that directly used by the final task output. We study this structure using $\textit{passive probes…
cs.RO2024
Special Unitary Parameterized Estimators of Rotation
Akshay Chandrasekhar
This paper revisits the topic of rotation estimation through the lens of special unitary matrices. We begin by reformulating Wahba's problem using to derive multiple soluti…
cs.CV2024
PoseGravity: Pose Estimation from Points and Lines with Axis Prior
Akshay Chandrasekhar
This paper presents a new algorithm to estimate absolute camera pose given an axis of the camera's rotation matrix. Current algorithms solve the problem via algebraic solutions on…