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20242026
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cs.CV2025

QAL: A Loss for Recall Precision Balance in 3D Reconstruction

Pranay Meshram, Yash Turkar, Kartikeya Singh +3

Volumetric learning underpins many 3D vision tasks such as completion, reconstruction, and mesh generation, yet training objectives still rely on Chamfer Distance (CD) or Earth Mov…

cs.RO2025

QuayPoints: A Reasoning Framework to Bridge the Information Gap Between Global and Local Planning in Autonomous Racing

Yashom Dighe, Youngjin Kim, Karthik Dantu

Autonomous racing requires tight integration between perception, planning and control to minimize latency as well as timely decision making. A standard autonomy pipeline comprising…

cs.RO2025

Language-in-the-Loop Culvert Inspection on the Erie Canal

Yash Turkar, Yashom Dighe, Karthik Dantu

Culverts on canals such as the Erie Canal, built originally in 1825, require frequent inspections to ensure safe operation. Human inspection of culverts is challenging due to age,…

cs.LG2025

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning

Prithvi Poddar, Ehsan Tarkesh Esfahani, Karthik Dantu +1

Operations in disaster response, search \& rescue, and military missions that involve multiple agents demand automated processes to support the planning of the courses of action (C…

cs.RO2025

Active Illumination Control in Low-Light Environments using NightHawk

Yash Turkar, Youngjin Kim, Karthik Dantu

Subterranean environments such as culverts present significant challenges to robot vision due to dim lighting and lack of distinctive features. Although onboard illumination can he…