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01/20/2023
Novel-View Acoustic Synthesis
We introduce the novel-view acoustic synthesis (NVAS) task: given the si...
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07/22/2022
Multiface: A Dataset for Neural Face Rendering
Photorealistic avatars of human faces have come a long way in recent yea...
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07/08/2022
End-to-End Binaural Speech Synthesis
In this work, we present an end-to-end binaural speech synthesis system ...
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06/30/2022
Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain
We present a single-stage casual waveform-to-waveform multichannel model...
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03/31/2022
Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis
Since facial actions such as lip movements contain significant informati...
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03/15/2022
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space
Neural face avatars that are trained from multi-view data captured in ca...
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02/10/2022
Conditional Diffusion Probabilistic Model for Speech Enhancement
Speech enhancement is a critical component of many user-oriented audio a...
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02/07/2022
Deep Impulse Responses: Estimating and Parameterizing Filters with Deep Networks
Impulse response estimation in high noise and in-the-wild settings, with...
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04/16/2021
MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement
This paper presents a generic method for generating full facial 3D anima...
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08/11/2020
Audio- and Gaze-driven Facial Animation of Codec Avatars
Codec Avatars are a recent class of learned, photorealistic face models ...
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05/19/2020
On Evaluating Weakly Supervised Action Segmentation Methods
Action segmentation is the task of temporally segmenting every frame of ...
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06/03/2019
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation
Action recognition has become a rapidly developing research field within...
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06/03/2019
Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data
Action recognition is so far mainly focusing on the problem of classific...
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05/17/2018
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning
Video learning is an important task in computer vision and has experienc...
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04/10/2018
Two Stream 3D Semantic Scene Completion
We propose a new paradigm for advancing 3D semantic scene completion bas...
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04/03/2018
When will you do what? - Anticipating Temporal Occurrences of Activities
Analyzing human actions in videos has gained increased attention recentl...
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06/27/2017
Recurrent Residual Learning for Action Recognition
Action recognition is a fundamental problem in computer vision with a lo...
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06/02/2017
Temporal Action Labeling using Action Sets
Action detection and temporal segmentation of actions in videos are topi...
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03/23/2017
Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling
We present an approach for weakly supervised learning of human actions. ...
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03/23/2017
A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition
The traditional bag-of-words approach has found a wide range of applicat...
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10/07/2016