activity
20232026
most citedProtein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images

7 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026★ 7 cited

Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images

Truong X. Tran, Marc L. Pusey, Ramazan S. Aygun

The accuracy of detecting protein crystals for fluorescence microscopy images is very critical for high throughput and automated systems. Although the trace fluorescent labeling me…

cs.RO2026

SplatCtrl: Perception-Action Coupling via Gaussian Scene Representations and Reactive Robot Control

Siddarth Jain, Ho Jin Choi

Robotic manipulators excel in structured environments but face substantial challenges in unstructured and dynamic settings. This paper presents SplatCtrl, a unified framework for r…

cs.CV2025

COMETH: Convex Optimization for Multiview Estimation and Tracking of Humans

Enrico Martini, Ho Jin Choi, Nadia Figueroa +1

In the era of Industry 5.0, monitoring human activity is essential for ensuring both ergonomic safety and overall well-being. While multi-camera centralized setups improve pose est…

cs.RO2025

Gaussian Process-Based Active Exploration Strategies in Vision and Touch

Ho Jin Choi, Nadia Figueroa

Robots struggle to understand object properties like shape, material, and semantics due to limited prior knowledge, hindering manipulation in unstructured environments. In contrast…

cs.RO2024

On the Feasibility of EEG-based Motor Intention Detection for Real-Time Robot Assistive Control

Ho Jin Choi, Satyajeet Das, Shaoting Peng +2

This paper explores the feasibility of employing EEG-based intention detection for real-time robot assistive control. We focus on predicting and distinguishing motor intentions of…

cs.RO2023

Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance and Riemannian Mixture Models

Ho Jin Choi, Nadia Figueroa

This paper introduces a novel approach to improve robotic grasping in dynamic environments by integrating Gaussian Process Distance Fields (GPDF), SE(3) equivariant networks, and R…