no code implementations • 26 Dec 2023 • Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos Katsaggelos, Oliver Cossairt
Recent advances in event-based shape determination from polarization offer a transformative approach that tackles the trade-off between speed and accuracy in capturing surface geometries.
1 code implementation • 23 Oct 2023 • Hui Lin, Tom Liu, Aggelos Katsaggelos, Adrienne Kline
Coronary angiography continues to serve as the primary method for diagnosing coronary artery disease (CAD), which is the leading global cause of mortality.
Ranked #2 on Stenosis Segmentation on ARCADE
1 code implementation • CVPR 2023 • Aniket Dashpute, Vishwanath Saragadam, Emma Alexander, Florian Willomitzer, Aggelos Katsaggelos, Ashok Veeraraghavan, Oliver Cossairt
Our key observation is that the rate of heating and cooling of an object depends on the unique intrinsic properties of the material, namely the emissivity and diffusivity.
1 code implementation • CVPR 2023 • Jennifer J. Sun, Lili Karashchuk, Amil Dravid, Serim Ryou, Sonia Fereidooni, John Tuthill, Aggelos Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona
In this way, we discover keypoints without requiring manual supervision in videos of humans and rats, demonstrating the potential of 3D keypoint discovery for studying behavior.
1 code implementation • 9 Oct 2022 • Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos Katsaggelos, Oliver Cossairt
Moreover, to demonstrate the representation effectiveness of our proposed neurons and capture the complex spatio-temporal dependencies in the event-driven tactile data, we exploit the location spiking neurons to propose two hybrid models for event-driven tactile learning.
no code implementations • 26 Jul 2022 • Bingjie, Xu, Yunan Wu, Pengxiao Hao, Marc Vermeulen, Alicia McGeachy, Kate Smith, Katherine Eremin, Georgina Rayner, Giovanni Verri, Florian Willomitzer, Matthias Alfeld, Jack Tumblin, Aggelos Katsaggelos, Marc Walton
The pigment identification results demonstrated that our model achieved comparable results to the analysis by elemental mapping, suggesting the generalizability and stability of our model.
1 code implementation • 23 Jul 2022 • Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos Katsaggelos, Oliver Cossairt
In this paper, to improve the representative capabilities of existing spiking neurons, we propose a novel neuron model called "location spiking neuron", which enables us to extract features of event-based data in a novel way.
no code implementations • 3 Jun 2022 • Henry Chopp, Alicia McGeachy, Matthias Alfeld, Oliver Cossairt, Marc Walton, Aggelos Katsaggelos
Macro x-ray fluorescence (XRF) imaging of cultural heritage objects, while a popular non-invasive technique for providing elemental distribution maps, is a slow acquisition process in acquiring high signal-to-noise ratio XRF volumes.
no code implementations • 29 May 2021 • Srutarshi Banerjee, Henry H. Chopp, Jianping Zhang, Zihao W. Wang, Oliver Cossairt, Aggelos Katsaggelos
The detection and tracking of objects in the scene are done on the distorted data at the host.
no code implementations • 3 May 2020 • Srutarshi Banerjee, Zihao W. Wang, Henry H. Chopp, Oliver Cossairt, Aggelos Katsaggelos
The histograms are then variably sampled via Poisson Disk Sampling prioritized by the QT based segmentation map.
1 code implementation • 26 Feb 2019 • Zihao W. Wang, Weixin Jiang, Kuan He, Boxin Shi, Aggelos Katsaggelos, Oliver Cossairt
Temporal Video Frame Synthesis (TVFS) aims at synthesizing novel frames at timestamps different from existing frames, which has wide applications in video codec, editing and analysis.
no code implementations • 27 May 2017 • Reza Borhani, Jeremy Watt, Aggelos Katsaggelos
In this work we propose a new framework for joint sparse representation and recovery of all image patches simultaneously.
no code implementations • 14 Mar 2017 • Nima Dehmamy, Neda Rohani, Aggelos Katsaggelos
We then show that for each layer, the distribution of solutions found by SGD can be estimated using a class-based principal component analysis (PCA) of the layer's input.
no code implementations • 17 Sep 2016 • Reza Borhani, Jeremy Watt, Aggelos Katsaggelos
Symmetric Nonnegative Matrix Factorization (SNMF) models arise naturally as simple reformulations of many standard clustering algorithms including the popular spectral clustering method.