Computer vision publications
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Dual-Key Multimodal Backdoors for Visual Question Answering
In this work, we show that multimodal networks are vulnerable to a novel type of attack that we refer to as Dual-Key Multimodal Backdoors.
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Saccade Mechanisms for Image Classification, Object Detection and Tracking
We examine how the saccade mechanism from biological vision can be used to make deep neural networks more efficient for classification and object detection problems.
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Conformal Prediction Intervals for Markov Decision Process Trajectories
This paper extends previous work on conformal prediction for functional data and conformalized quantile regression to provide conformal prediction intervals over the future behavior of an autonomous system executing a…
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Optimized Simultaneous Aided Target Detection and Imagery based Navigation in GPS-Denied Environments
We describe and demonstrate a comprehensive optimized vision-based real-time solution to provide SATIN capabilities for current and future UAS in GPS-denied environments.
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Conformal Prediction Intervals for Markov Decision Process Trajectories
This paper extends previous work on conformal prediction for functional data and conformalized quantile regression to provide conformal prediction intervals over the future behavior of an autonomous system executing a…
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Cross-View and Cross-Modal Visual Geo-Localization for Augmented Reality and Robot/ Vehicle Navigation Applications
We will present methods and results for estimation of geo-location and/ or orientation for dismounts and platforms for wide area, outdoor augmented reality and other applications under GPS denied/ challenged…
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Time-Space Processing for Small Ship Detection in SAR
This paper presents a new 3D time-space detector for small ships in single look complex (SLC) synthetic aperture radar (SAR) imagery, optimized for small targets around 5-15 m long that…
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Striking the Right Balance: Recall Loss for Semantic Segmentation
We propose a hard-class mining loss by reshaping the vanilla cross entropy loss such that it weights the loss for each class dynamically based on instantaneous recall performance.
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Graph Mapper: Efficient Visual Navigation by Scene Graph Generation
We propose a method to train an autonomous agent to learn to accumulate a 3D scene graph representation of its environment by simultaneously learning to navigate through said environment.
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SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
This paper presents a novel approach for the Vision-and-Language Navigation (VLN) task in continuous 3D environments.
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Broadening AI Ethics Narratives: An Indic Arts View
We investigate uncovering the unique socio-cultural perspectives embedded in human-made art, which in turn, can be valuable in expanding the horizon of AI ethics.
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Real-Time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators
In this paper we present Hyper-Dimensional Reconfigurable Analytics at the Tactical Edge using low-SWaP embedded hardware that can perform real-time reconfiguration at the edge leveraging non-MAC deep neural nets (DNN)…