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Real-Time Reinforcement Learning
Markov Decision Processes (MDPs), the mathematical framework underlying ...
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Boosting Image Recognition with Non-differentiable Constraints
In this paper, we study the problem of image recognition with non-differ...
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Autocamera Calibration for traffic surveillance cameras with wide angle lenses
We propose a method for automatic calibration of a traffic surveillance ...
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Recurrent Transition Networks for Character Locomotion
Manually authoring transition animations for a complete locomotion syste...
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Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Adversarial imitation learning alternates between learning a discriminat...
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FIGR: Few-shot Image Generation with Reptile
Generative Adversarial Networks (GAN) boast impressive capacity to gener...
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Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
Branch and Bound (B B) is the exact tree search method typically used ...
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Road User Detection in Videos
Successive frames of a video are highly redundant, and the most popular ...
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Analytically Tractable Inference in Deep Neural Networks
Since its inception, deep learning has been overwhelmingly reliant on ba...
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Towards Understanding Generalization in Gradient-Based Meta-Learning
In this work we study generalization of neural networks in gradient-base...
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Interactive Machine Comprehension with Information Seeking Agents
Existing machine reading comprehension (MRC) models do not scale effecti...
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Role-Wise Data Augmentation for Knowledge Distillation
Knowledge Distillation (KD) is a common method for transferring the “kno...
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Subspace Determination through Local Intrinsic Dimensional Decomposition: Theory and Experimentation
Axis-aligned subspace clustering generally entails searching through eno...
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Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition
Recently, the connectionist temporal classification (CTC) model coupled ...
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U-Net Fixed-Point Quantization for Medical Image Segmentation
Model quantization is leveraged to reduce the memory consumption and the...
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Training deep neural networks with low precision multiplications
Multipliers are the most space and power-hungry arithmetic operators of ...
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BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Deep Neural Networks (DNN) have achieved state-of-the-art results in a w...
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Deep Complex Networks
At present, the vast majority of building blocks, techniques, and archit...
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Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
Deep neural networks with alternating convolutional, max-pooling and dec...
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Improving Landmark Localization with Semi-Supervised Learning
We present two techniques to improve landmark localization from partiall...
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Describing Videos by Exploiting Temporal Structure
Recent progress in using recurrent neural networks (RNNs) for image desc...
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Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research
In this work, we introduce a dataset of video annotated with high qualit...
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Adversarial Generation of Natural Language
Generative Adversarial Networks (GANs) have gathered a lot of attention ...
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Evaluation of trackers for Pan-Tilt-Zoom Scenarios
Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in ...
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Accurate and Efficient Hyperbolic Tangent Activation Function on FPGA using the DCT Interpolation Filter
Implementing an accurate and fast activation function with low cost is a...
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Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks
We propose a computational framework to learn stylisation patterns from ...
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Deep Learning for Patient-Specific Kidney Graft Survival Analysis
An accurate model of patient-specific kidney graft survival distribution...
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A Motion Planning Strategy for the Active Vision-Based Mapping of Ground-Level Structures
This paper presents a strategy to guide a mobile ground robot equipped w...
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A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
We examine a new form of smooth approximation to the zero one loss in wh...
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Tracking using Numerous Anchor points
In this paper, an online adaptive model-free tracker is proposed to trac...
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Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
Yes, they do. This paper provides the first empirical demonstration that...
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Multiple Object Tracking with Kernelized Correlation Filters in Urban Mixed Traffic
Recently, the Kernelized Correlation Filters tracker (KCF) achieved comp...
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The Importance of Skip Connections in Biomedical Image Segmentation
In this paper, we study the influence of both long and short skip connec...
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Convolutional Residual Memory Networks
Very deep convolutional neural networks (CNNs) yield state of the art re...
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Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression
We present techniques for improving performance driven facial animation,...
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Metastatic liver tumour segmentation from discriminant Grassmannian manifolds
The early detection, diagnosis and monitoring of liver cancer progressio...
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Automatic Estimation of the Exposure to Lateral Collision in Signalized Intersections using Video Sensors
Intersections constitute one of the most dangerous elements in road syst...
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Nonmyopic View Planning for Active Object Detection
One of the central problems in computer vision is the detection of seman...
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A Bag of Words Approach for Semantic Segmentation of Monitored Scenes
This paper proposes a semantic segmentation method for outdoor scenes ca...
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Background subtraction based on Local Shape
We present a novel approach to background subtraction that is based on t...
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Self-organized Hierarchical Softmax
We propose a new self-organizing hierarchical softmax formulation for ne...
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Towards an interdisciplinary, socio-technical analysis of software ecosystem health
This extended abstract presents the research goals and preliminary resea...
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Is It Safe to Uplift This Patch? An Empirical Study on Mozilla Firefox
In rapid release development processes, patches that fix critical issues...
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SHIP: A Scalable High-performance IPv6 Lookup Algorithm that Exploits Prefix Characteristics
Due to the emergence of new network applications, current IP lookup engi...
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From Superpixel to Human Shape Modelling for Carried Object Detection
Detecting carried objects is one of the requirements for developing syst...
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Localizability-Constrained Deployment of Mobile Robotic Networks with Noisy Range Measurements
When nodes in a mobile network use relative noisy measurements with resp...
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Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing
In this paper, we present a new method for detecting road users in an ur...
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Do Programmers Work at Night or During the Weekend?
Abnormal working hours can reduce work health, general well-being, and p...
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TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer
Modern low-latency anonymity systems, no matter whether constructed as a...
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Improving QED-Tutrix by Automating the Generation of Proofs
The idea of assisting teachers with technological tools is not new. Math...
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