Search Results for author: Kang G. Shin

Found 6 papers, 2 papers with code

Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation

no code implementations17 May 2025 Niaz Ahmad, Jawad Khan, Kang G. Shin, Youngmoon Lee, Guanghui Wang

The dynamic movement of the human body presents a fundamental challenge for human pose estimation and body segmentation.

Keypoint Detection Segmentation

Steward: Natural Language Web Automation

1 code implementation23 Sep 2024 Brian Tang, Kang G. Shin

Steward operates by receiving natural language instructions and reactively planning and executing a sequence of actions on websites, looping until completion, making it a practical tool for developers and researchers to use.

DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System

no code implementations3 Feb 2023 Minkyoung Cho, Kang G. Shin

As deep neural networks (DNNs) prove their importance and feasibility, more and more DNN-based apps, such as detection and classification of objects, have been developed and deployed on autonomous vehicles (AVs).

Autonomous Vehicles

Analysis and Prevention of MCAS-Induced Crashes

no code implementations20 Jan 2023 Noah T. Curran, Thomas W. Kennings, Kang G. Shin

Semi-autonomous (SA) systems face the challenge of determining which source to prioritize for control, whether it's from the human operator or the autonomous controller, especially when they conflict with each other.

Federated User Representation Learning

no code implementations ICLR 2020 Duc Bui, Kshitiz Malik, Jack Goetz, Honglei Liu, Seungwhan Moon, Anuj Kumar, Kang G. Shin

Furthermore, we show that user embeddings learned in FL and the centralized setting have a very similar structure, indicating that FURL can learn collaboratively through the shared parameters while preserving user privacy.

Federated Learning Privacy Preserving +1

Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning

2 code implementations7 Feb 2018 Hamza Harkous, Kassem Fawaz, Rémi Lebret, Florian Schaub, Kang G. Shin, Karl Aberer

Companies, users, researchers, and regulators still lack usable and scalable tools to cope with the breadth and depth of privacy policies.

Language Modeling Language Modelling +1

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