no code implementations • SIGDIAL (ACL) 2021 • Ye Tian, Tim Nieradzik, Sepehr Jalali, Da-Shan Shiu
Analysis on sentence embeddings of disfluent and fluent sentence pairs reveals that the deeper the layer, the more similar their representation (exp2).
no code implementations • NeurIPS 2021 • Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-Shan Shiu
Consider the sequential optimization of a continuous, possibly non-convex, and expensive to evaluate objective function $f$.
no code implementations • 21 May 2021 • Philipp Ennen, Yen-Ting Lin, Ali Girayhan Ozbay, Ferdinando Insalata, Maolin Li, Ye Tian, Sepehr Jalali, Da-Shan Shiu
In light of the recent success of data-driven approaches, we propose the novel future bridging NLG (FBNLG) concept for dialogue systems and simulators.
no code implementations • 8 Mar 2021 • Fan Fu, TingTing Xie, Ioannis Patras, Sepehr Jalali
Understanding interactions between objects in an image is an important element for generating captions.
no code implementations • NeurIPS Workshop SVRHM 2021 • Federica Freddi, Jezabel R Garcia, Michael Bromberg, Sepehr Jalali, Da-Shan Shiu, Alvin Chua, Alberto Bernacchia
We propose a novel architecture that allows flexible information flow between features $z$ and locations $(x, y)$ across the entire image with a small number of layers.
1 code implementation • 1 Apr 2020 • Theodoros Pissas, Edward Bloch, M. Jorge Cardoso, Blanca Flores, Odysseas Georgiadis, Sepehr Jalali, Claudio Ravasio, Danail Stoyanov, Lyndon Da Cruz, Christos Bergeles
This paper addresses retinal vessel segmentation on optical coherence tomography angiography (OCT-A) images of the human retina.
no code implementations • 19 Nov 2018 • Tim Laibacher, Tillman Weyde, Sepehr Jalali
In this paper, we present a novel neural network architecture for retinal vessel segmentation that improves over the state of the art on two benchmark datasets, is the first to run in real time on high resolution images, and its small memory and processing requirements make it deployable in mobile and embedded systems.