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10/26/2021
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling
The Continuous-Time Hidden Markov Model (CT-HMM) is an attractive approa...
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09/30/2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
We present MetaUVFS as the first Unsupervised Meta-learning algorithm fo...
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09/14/2021
Space Time Recurrent Memory Network
We propose a novel visual memory network architecture for the learning a...
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01/29/2021
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
Counterfactual explanations, which deal with "why not?" scenarios, can p...
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12/31/2020
iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations
The black-box nature of the deep networks makes the explanation for "why...
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11/13/2020
Structured Attention Graphs for Understanding Deep Image Classifications
Attention maps are a popular way of explaining the decisions of convolut...
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09/27/2019
Counterfactual States for Atari Agents via Generative Deep Learning
Although deep reinforcement learning agents have produced impressive res...
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12/18/2018
Interactive Naming for Explaining Deep Neural Networks: A Formative Study
We consider the problem of explaining the decisions of deep neural netwo...
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08/03/2018
Purely Geometric Scene Association and Retrieval - A Case for Macro Scale 3D Geometry
We address the problems of measuring geometric similarity between 3D sce...
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04/05/2018
Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks
Recent analysis of deep neural networks has revealed their vulnerability...
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09/15/2017
Embedding Deep Networks into Visual Explanations
In this paper, we propose a novel explanation module to explain the pred...
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02/28/2017
Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion
This paper addresses a new problem of joint object boundary detection an...
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12/22/2016
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
Deep learning has greatly improved visual recognition in recent years. H...
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07/27/2016
A Continuous Optimization Approach for Efficient and Accurate Scene Flow
We propose a continuous optimization method for solving dense 3D scene f...
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11/15/2014
GASP : Geometric Association with Surface Patches
A fundamental challenge to sensory processing tasks in perception and ro...
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06/18/2012