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07/03/2023
Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization
Geometric navigation is nowadays a well-established field of robotics an...
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05/29/2020
Informed Proposal Monte Carlo
Any search or sampling algorithm for solution of inverse problems needs ...
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03/13/2020
Explainable Deep Classification Models for Domain Generalization
Conventionally, AI models are thought to trade off explainability for lo...
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12/06/2018
Guided Zoom: Questioning Network Evidence for Fine-grained Classification
We propose Guided Zoom, an approach that utilizes spatial grounding to m...
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05/23/2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
We propose a guided dropout regularizer for deep networks based on the e...
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11/18/2017
Excitation Backprop for RNNs
Deep models are state-of-the-art for many vision tasks including video a...
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08/03/2017
What Will I Do Next? The Intention from Motion Experiment
In computer vision, video-based approaches have been widely explored for...
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05/31/2016
Predicting Human Intentions from Motion Only: A 2D+3D Fusion Approach
In this paper, we address the new problem of the prediction of human int...
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04/22/2016
