Works (6)
Updated: February 19th, 2024 08:11
2022 article
Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), pp. 13055–13064.
TL;DR:
This paper proposes a multi-person pose estimation approach, dubbed as LOGO-CAP, by learning the LOcal-GlObal Contextual Adaptation for human Pose, which is end-to-end trainable with near real-time inference speed in a single forward pass, obtaining state-of-the-art performance on the COCO keypoint benchmark for bottom-up human pose estimation.
(via Semantic Scholar)
arxiv.org (repository)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID
Added: December 19, 2022
2020 article
Holistically-Attracted Wireframe Parsing
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), pp. 2785–2794.
TL;DR:
This paper presents a fast and parsimonious parsing method to accurately and robustly detect a vectorized wireframe in an input image with a single forward pass, and is thus called Holistically-Attracted Wireframe Parser (HAWP).
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science; OpenAlex)
Sources: Web Of Science, ORCID
Added: March 15, 2021
2019 article
Learning Attraction Field Representation for Robust Line Segment Detection
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), pp. 1595–1603.
TL;DR:
A region-partition based attraction field dual representation for line segment maps, which poses the problem of line segment detection (LSD) as the region coloring problem and harnesses the best practices developed in ConvNets based semantic segmentation methods such as the encoder-decoder architecture and the a-trous convolution.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, ORCID
Added: July 13, 2020
2016 conference paper
H-2-clustering of closed-loop consensus networks under a class of LQR design
2016 american control conference (acc), 7141–7146.
TL;DR:
An upper bound on the difference between the closed-loop transfer matrix of the original network with the full-order controller and that with the projected controller is derived in terms of P, and a design for P using K-means is proposed that tightens the bound while guaranteeing numerical feasibility.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018
2016 conference paper
H-2-clustering of closed-loop consensus networks under generalized LQR designs
2016 ieee 55th conference on decision and control (cdc), 5116–5121.
TL;DR:
An upper bound is derived on the difference between the closed-loop transfer matrix of the original network with the full-order controller and that with the projected controller in the sense of ℋ2 norm and a design for P is proposed using weighted k-means that tightens the bound.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018
2016 journal article
Parallel Identification of Power System Dynamic Models Under Scheduling Constraints
IEEE TRANSACTIONS ON POWER SYSTEMS, 31(6), 4584–4594.
author keywords: Parallel algorithms; system identification; least-squares; integer programming; synchrophasor
TL;DR:
Two sets of parallel algorithms for identifying real-time, small-signal dynamic models of power systems using multiple sources of Synchrophasor data are presented and a novel scheduling algorithm is proposed to enable flexible deadlines that meet these constraints.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018
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