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09/17/2023
Detection and Localization of Firearm Carriers in Complex Scenes for Improved Safety Measures
Detecting firearms and accurately localizing individuals carrying them i...
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09/15/2022
Towards Improving Calibration in Object Detection Under Domain Shift
The increasing use of deep neural networks in safety-critical applicatio...
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06/20/2022
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation
This paper proposes a novel pixel-level distribution regularization sche...
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04/09/2022
Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach
One billion people worldwide are estimated to be living in slums, and do...
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01/07/2022
Leveraging Scale-Invariance and Uncertainity with Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Scenes
This paper presents FogAdapt, a novel approach for domain adaptation of ...
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11/26/2021
Towards Low-Cost and Efficient Malaria Detection
Malaria, a fatal but curable disease claims hundreds of thousands of liv...
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11/02/2021
Out of distribution detection for skin and malaria images
Deep neural networks have shown promising results in disease detection a...
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10/26/2021
Cross-Region Building Counting in Satellite Imagery using Counting Consistency
Estimating the number of buildings in any geographical region is a vital...
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10/01/2021
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
We study adapting trained object detectors to unseen domains manifesting...
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07/28/2020
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
Self-supervised learning approaches for unsupervised domain adaptation (...
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07/05/2020
Weakly Supervised Domain Adaptation for Built-up Region Segmentation in Aerial and Satellite Imagery
This paper proposes a novel domain adaptation algorithm to handle the ch...
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05/19/2020
Localizing Firearm Carriers by Identifying Human-Object Pairs
Visual identification of gunmen in a crowd is a challenging problem, tha...
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09/30/2019
MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling
Most of the recent Deep Semantic Segmentation algorithms suffer from lar...
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09/29/2019
Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
The existing approaches for salient motion segmentation are unable to ex...
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04/22/2019
Orientation Aware Object Detection with Application to Firearms
Automatic detection of firearms is important for enhancing security and ...
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04/01/2019
Deep Built-Structure Counting in Satellite Imagery Using Attention Based Re-Weighting
In this paper, we attempt to address the challenging problem of counting...
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07/25/2017
Automatic Image Transformation for Inducing Affect
Current image transformation and recoloring algorithms try to introduce ...
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05/12/2017
Using Satellite Imagery for Good: Detecting Communities in Desert and Mapping Vaccination Activities
Deep convolutional neural networks (CNNs) have outperformed existing obj...
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05/08/2017
High-Level Concepts for Affective Understanding of Images
This paper aims to bridge the affective gap between image content and th...
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01/29/2012