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December 14, 2021
Donglai Xiang, Fabián Prada, Timur Bagautdinov, Weipeng Xu, Yuan Dong, He Wen, Jessica Hodgins, Chenglei Wu
Modeling Clothing as a Separate Layer for an Animatable Human Avatar
We then train a new two-layer codec avatar with separate modeling of the upper clothing and the inner body layer. To learn the interaction between the body dynamics and clothing states, we use a temporal convolution network to predict the clothing latent code based on a sequence of input skeletal poses. We show photorealistic animation output for three different actors, and demonstrate the advantage of our clothed-body avatars over the single-layer avatars used in previous work.
Areas
AR/VR
ARTIFICIAL INTELLIGENCE
COMPUTER VISION
Paper
December 13, 2021
Yangyang Xia, Buye Xu, Anurag Kumar
Incorporating Real-world Noisy Speech in Neural-network-based Speech Enhancement Systems
In this paper, we explore methods that enable supervised speech enhancement systems to train on real-world degraded speech data. Specifically, we propose a semi-supervised approach for speech enhancement in which we first train a modified vector-quantized variational autoencoder that solves a source separation task.
Areas
ARTIFICIAL INTELLIGENCE
Paper
December 13, 2021
Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed
Kaizen: Continuously Improving Teacher Using Exponential Moving Average For Semi-supervised Speech Recognition
In this paper, we introduce the Kaizen framework that uses a continuously improving teacher to generate pseudo-labels for semi-supervised speech recognition (ASR). The proposed approach uses a teacher model which is updated as the exponential moving average (EMA) of the student model parameters.
Areas
NATURAL LANGUAGE PROCESSING & SPEECH
Paper
December 5, 2021
Julián Mestre, Sergey Pupyrev, Seeun William Umboh
On the Extended TSP Problem
We initiate the theoretical study of Ext-TSP, a problem that originates in the area of profile-guided binary optimization.
Areas
ECONOMICS & COMPUTATION
SYSTEMS & INFRASTRUCTURE
Paper
November 18, 2021
Bjoern Haefner, Simon Green, Alan Oursland, Daniel Andersen, Michael Goesele, Daniel Cremers, Richard Newcombe, Thomas Whelan
Recovering Real-World Reflectance Properties and Shading From HDR Imagery
We propose a method to estimate the bidirectional reflectance distribution function (BRDF) and shading of complete scenes under static illumination given the 3D scene geometry and a corresponding high dynamic range (HDR) video.
Areas
AR/VR
COMPUTER VISION

Paper
November 10, 2021
Marzieh Saeidi, Majid Yazdani, Andreas Vlachos
Cross-Policy Compliance Detection via Question Answering
In this paper we propose to address policy compliance detection via decomposing it into question answering, where questions check whether the conditions stated in the policy apply to the scenario, and an expression tree combines the answers to obtain the label. Despite the initial upfront annotation cost, we demonstrate that this approach results in better accuracy, especially in the cross-policy setup where the policies during testing are unseen in training.
Areas
NATURAL LANGUAGE PROCESSING & SPEECH
Paper
November 9, 2021
Verna Dankers, Anna Langedijk, Kate McCurdy, Adina Williams, Dieuwke Hupkes
Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network
Here, in line with that tradition, we explore how recurrent neural networks acquire the complex German plural system and reflect upon how their strategy compares to human generalisation and rule-based models of this system.
Areas
ARTIFICIAL INTELLIGENCE
NATURAL LANGUAGE PROCESSING & SPEECH
Paper
November 7, 2021
Shuo Sun, Ahmed El-Kishky, Vishrav Chaudhary, James Cross, Francisco Guzmán, Lucia Specia
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications
In this work, we evaluate several model compression techniques for QE and find that, despite their popularity in other NLP tasks, they lead to poor performance in this regression setting.
Areas
NATURAL LANGUAGE PROCESSING & SPEECH
Paper
November 6, 2021
Rami Aly, Zhijiang Guo, Michael Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information
In this paper we introduce a novel dataset and benchmark, Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS), which consists of 87,026 verified claims.
Areas
ARTIFICIAL INTELLIGENCE
MACHINE LEARNING
Paper
November 2, 2021
Bernhard Möller, Peter O'Hearn, Tony Hoare
On Algebra of Program Correctness and Incorrectness
Here, we use a Kleene algebra with diamond operators and countable joins of tests, which embeds IL, and which also is complete for reasoning about the image of the embedding.
Areas
SYSTEMS & INFRASTRUCTURE
Paper
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