Search Results for author: Kris Sankaran

Found 15 papers, 10 papers with code

Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data

no code implementations9 Feb 2022 Adrianna Janik, Kris Sankaran

We have applied our method to a deep learning model for semantic segmentation, U-Net, in a remote sensing application of building detection - one of the core use cases of remote sensing in humanitarian applications.

Active Learning Humanitarian +2

Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization

1 code implementation9 Feb 2022 Adrianna Janik, Kris Sankaran

Among current formulations, concepts defines them by as a direction in a learned representation space.

Source data selection for out-of-domain generalization

1 code implementation4 Feb 2022 Xinran Miao, Kris Sankaran

Models that perform out-of-domain generalization borrow knowledge from heterogeneous source data and apply it to a related but distinct target task.

Domain Generalization Transfer Learning

Interactive Visualization and Representation Analysis Applied to Glacier Segmentation

1 code implementation11 Dec 2021 Minxing Zheng, Xinran Miao, Kris Sankaran

Interpretability has attracted increasing attention in earth observation problems.

Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset

no code implementations15 Mar 2021 Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen Curran

In previous studies, the base method is applied to the classification of cardiac disease and provides clinically meaningful explanations for the predictions of a black-box deep learning classifier.

MRI segmentation

FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters

1 code implementation ICCV 2021 Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu, Yoshua Bengio

To promote the practical application for autonomous floating wastes cleaning, we present FloW, the first dataset for floating waste detection in inland water areas.

Robust Object Detection

Nanoscale Microscopy Images Colorization Using Neural Networks

1 code implementation17 Dec 2019 Israel Goytom, Qin Wang, Tianxiang Yu, Kunjie Dai, Kris Sankaran, Xinfei Zhou, Dongdong Lin

Microscopy images are powerful tools and widely used in the majority of research areas, such as biology, chemistry, physics and materials fields by various microscopies (scanning electron microscope (SEM), atomic force microscope (AFM) and the optical microscope, et al.).

Colorization Style Transfer

Applying Knowledge Transfer for Water Body Segmentation in Peru

no code implementations2 Dec 2019 Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran, Yoshua Bengio

In this work, we present the application of convolutional neural networks for segmenting water bodies in satellite images.

Transfer Learning

Hierarchical Importance Weighted Autoencoders

1 code implementation13 May 2019 Chin-wei Huang, Kris Sankaran, Eeshan Dhekane, Alexandre Lacoste, Aaron Courville

We believe a joint proposal has the potential of reducing the number of redundant samples, and introduce a hierarchical structure to induce correlation.

Variational Inference

Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks

no code implementations2 May 2019 Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer Chayes, Yoshua Bengio

We present a project that aims to generate images that depict accurate, vivid, and personalized outcomes of climate change using Cycle-Consistent Adversarial Networks (CycleGANs).

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