activity
20152026
most citedVariational End-to-End Navigation and Localization

128 citations · 176 across the 33 of their papers we have counts for

collaborators

36 papers

cs.CV2026

Towards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning

Weiliang Huang, Huanrong Liu, Bob Zhang +5

Reliable surgical planning requires models to anticipate not only how instruments will move, but also how the operative visual state will evolve together with such motion. Existing…

cs.RO2025

ReGen: Generative Robot Simulation via Inverse Design

Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong +5

Simulation plays a key role in scaling robot learning and validating policies, but constructing simulations remains a labor-intensive process. This paper introduces ReGen, a genera…

cs.RO2025

SAFe-Copilot: Unified Shared Autonomy Framework

Phat Nguyen, Erfan Aasi, Shiva Sreeram +4

Autonomous driving systems remain brittle in rare, ambiguous, and out-of-distribution scenarios, where human driver succeed through contextual reasoning. Shared autonomy has emerge…

cs.CV2025★ 3 cited

The SAGES Critical View of Safety Challenge: A Global Benchmark for AI-Assisted Surgical Quality Assessment

Deepak Alapatt, Jennifer Eckhoff, Zhiliang Lyu +38

Advances in artificial intelligence (AI) for surgical quality assessment promise to democratize access to expertise, with applications in training, guidance, and accreditation. Thi…

cs.CV2025

Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models

Haoyang Wu, Tsun-Hsuan Wang, Mathias Lechner +7

Surgical workflow analysis is essential in robot-assisted surgeries, yet the long duration of such procedures poses significant challenges for comprehensive video analysis. Recent…

eess.IV2025

Surgical Foundation Model Leveraging Compression and Entropy Maximization for Image-Guided Surgical Assistance

Lianhao Yin, Ozanan Meireles, Guy Rosman +1

Real-time video understanding is critical to guide procedures in minimally invasive surgery (MIS). However, supervised learning approaches require large, annotated datasets that ar…