Search Results for author: Stella Yu

Found 13 papers, 4 papers with code

High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss

1 code implementation27 Aug 2021 Ke Wang, Jonathan I Tamir, Alfredo De Goyeneche, Uri Wollner, Rafi Brada, Stella Yu, Michael Lustig

By adding an additional loss function on the low-dimensional feature space during training, the reconstruction frameworks from under-sampled or corrupted data can reproduce more realistic images that are closer to the original with finer textures, sharper edges, and improved overall image quality.

MRI Reconstruction SSIM

Contextual Image Parsing via Panoptic Segment Sorting

no code implementations1 Jan 2021 Jyh-Jing Hwang, Tsung-Wei Ke, Stella Yu

We aim to leverage the densely labeled task, image parsing, a. k. a panoptic segmentation, to learn a model that encodes and discovers object-centric context.

Metric Learning Panoptic Segmentation

HyperReal: Complex-Valued Layer Functions For Complex-Valued Scaling Invariance

no code implementations1 Jan 2021 Utkarsh Singhal, Yifei Xing, Stella Yu

SurReal complex-valued networks adopt a manifold view of complex numbers and derive a distance metric that is invariant to complex scaling.

C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning

no code implementations22 Jun 2020 Yifei Xing, Rudrasis Chakraborty, Minxuan Duan, Stella Yu

We compare C-SURE with SurReal and a real-valued baseline on complex-valued MSTAR and RadioML datasets.

BatVision with GCC-PHAT Features for Better Sound to Vision Predictions

no code implementations14 Jun 2020 Jesper Haahr Christensen, Sascha Hornauer, Stella Yu

We improve on the previous model by introducing several changes to the model, which leads to a better depth and grayscale estimation, and increased perceptual quality.

BatVision: Learning to See 3D Spatial Layout with Two Ears

1 code implementation15 Dec 2019 Jesper Haahr Christensen, Sascha Hornauer, Stella Yu

Inspired by bats' echolocation mechanism, we design a low-cost BatVision system that is capable of seeing the 3D spatial layout of space ahead by just listening with two ears.

Robot Navigation

SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold

no code implementations18 Oct 2019 Rudrasis Chakraborty, Yifei Xing, Stella Yu

We propose to extend the property instead of the form of real-valued functions to the complex domain.

Unsupervised Sketch-to-Photo Synthesis

1 code implementation18 Sep 2019 Runtao Liu, Qian Yu, Stella Yu

Humans can envision a realistic photo given a free-hand sketch that is not only spatially imprecise and geometrically distorted but also without colors and visual details.

Colorization Data Augmentation +4

Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability

no code implementations31 May 2018 Jakob Suchan, Mehul Bhatt, Srikrishna Vardarajan, Seyed Ali Amirshahi, Stella Yu

Key features include a human-centred representation, and a declarative, explainable interpretation model supporting deep semantic question-answering founded on an integration of methods in knowledge representation and deep learning based computer vision.

Computer Vision Question Answering

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

14 code implementations5 May 2018 Zhirong Wu, Yuanjun Xiong, Stella Yu, Dahua Lin

Neural net classifiers trained on data with annotated class labels can also capture apparent visual similarity among categories without being directed to do so.

General Classification object-detection +1

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