activity
20242026
most citedA real-time anomaly detection method for robots based on a flexible and sparse latent space

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Policy-Induced Hand Priors in Humanoid Dual-Arm Manipulation: Diagnosing and Mitigating Initial-Pose Dependence

Chaeyeon Jung, Juyoun Park

Vision-language-action (VLA) policies are expected to operate robustly across variations in the robot's initial configuration, yet aggregate task success can conceal pose-specific…

cs.CV2026

Norm or Direction? Decoding Vision Mambas for High-Resolution Vision

Jin Yu, Juyoun Park

Vision Mamba models replace quadratic self-attention with linear complexity selective state space models (SSMs), emerging as efficient visual backbones. However, MambaOut demonstra…

cs.CV2025★ 4 cited

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

Tobias Rueckert, David Rauber, Raphaela Maerkl +58

Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minim…

cs.RO2025★ 5 cited

A real-time anomaly detection method for robots based on a flexible and sparse latent space

Taewook Kang, Bum-Jae You, Juyoun Park +1

The growing demand for robots to operate effectively in diverse environments necessitates the need for robust real-time anomaly detection techniques during robotic operations. Howe…

cs.CV2024

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework

Tae-Min Choi, Juyoun Park

Surgical instrument segmentation is an essential component of computer-assisted and robotic surgery systems. Vision-based segmentation models typically produce outputs limited to a…