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20152023
most citedLearning Deconvolution Network for Semantic Segmentation

614 citations · 2.5k across the 63 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.LG2018

Transfer Learning via Unsupervised Task Discovery for Visual Question Answering

Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun +1

We study how to leverage off-the-shelf visual and linguistic data to cope with out-of-vocabulary answers in visual question answering task. Existing large-scale visual datasets wit…

cs.LG2018

Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences

Seonguk Seo, Paul Hongsuck Seo, Bohyung Han

We propose a generic framework to calibrate accuracy and confidence of a prediction in deep neural networks through stochastic inferences. We interpret stochastic regularization us…

cs.CV2018

Real-Time MDNet

Ilchae Jung, Jeany Son, Mooyeol Baek +1

We present a fast and accurate visual tracking algorithm based on the multi-domain convolutional neural network (MDNet). The proposed approach accelerates feature extraction proced…

cs.CV2018★ 2 cited

CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps

Paul Hongsuck Seo, Tobias Weyand, Jack Sim +1

Image geolocalization is the task of identifying the location depicted in a photo based only on its visual information. This task is inherently challenging since many photos have o…

cs.CV2018

Attentive Semantic Alignment with Offset-Aware Correlation Kernels

Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung +2

Semantic correspondence is the problem of establishing correspondences across images depicting different instances of the same object or scene class. One of recent approaches to th…