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Smart Home Appliances: Chat with Your Fridge
Current home appliances are capable to execute a limited number of voice...
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Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor
It is an effective strategy for the multi-person pose tracking task in v...
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Variational Inference MPC for Bayesian Model-based Reinforcement Learning
In recent studies on model-based reinforcement learning (MBRL), incorpor...
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Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Generative models have achieved impressive results in many domains inclu...
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Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
In this paper we present a novel approach for bottom-up multi-person 3D ...
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Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
How can a delivery robot navigate reliably to a destination in a new off...
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ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks
In this paper we introduce ShiftCNN, a generalized low-precision archite...
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On the Model Shrinkage Effect of Gamma Process Edge Partition Models
The edge partition model (EPM) is a fundamental Bayesian nonparametric m...
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Path Integral Networks: End-to-End Differentiable Optimal Control
In this paper, we introduce Path Integral Networks (PI-Net), a recurrent...
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Towards Deep Neural Network Architectures Robust to Adversarial Examples
Recent work has shown deep neural networks (DNNs) to be highly susceptib...
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Neural Person Search Machines
We investigate the problem of person search in the wild in this work. In...
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Video-based Person Re-identification with Accumulative Motion Context
Video based person re-identification plays a central role in realistic s...
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Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking
Multi-object tracking has recently become an important area of computer ...
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Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World
We introduce a method for disentangling independently controllable and u...
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DNN Feature Map Compression using Learned Representation over GF(2)
In this paper, we introduce a method to compress intermediate feature ma...
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Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
Despite the remarkable progress in face recognition related technologies...
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Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions
Explaining predictions of deep neural networks (DNNs) is an important an...
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Domain-Adversarial and -Conditional State Space Model for Imitation Learning
State representation learning (SRL) in partially observable Markov decis...
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Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision
Active learning (AL) aims to minimize labeling efforts for data-demandin...
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PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
In the present paper, we propose an extension of the Deep Planning Netwo...
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Graph Convolutional Network-based Suspicious Communication Pair Estimation for Industrial Control Systems
Whitelisting is considered an effective security monitoring method for n...
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Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction
In the present paper, we propose a decoder-free extension of Dreamer, a ...
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