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09/08/2023
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion
In recent years, video generation has become a prominent generative tool...
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06/14/2023
Heterogeneous Continual Learning
We propose a novel framework and a solution to tackle the continual lear...
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11/21/2022
LISA: Localized Image Stylization with Audio via Implicit Neural Representation
We present a novel framework, Localized Image Stylization with Audio (LI...
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08/30/2022
Robust Sound-Guided Image Manipulation
Recent successes suggest that an image can be manipulated by a text prom...
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04/20/2022
Sound-Guided Semantic Video Generation
The recent success in StyleGAN demonstrates that pre-trained StyleGAN la...
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02/24/2022
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations
Physics-informed neural networks allow models to be trained by physical ...
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11/30/2021
Sound-Guided Semantic Image Manipulation
The recent success of the generative model shows that leveraging the mul...
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06/16/2021
Scaling-up Diverse Orthogonal Convolutional Networks with a Paraunitary Framework
Enforcing orthogonality in neural networks is an antidote for gradient v...
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05/20/2021
Weakly-Supervised Physically Unconstrained Gaze Estimation
A major challenge for physically unconstrained gaze estimation is acquir...
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12/14/2020
NVIDIA SimNet^TM: an AI-accelerated multi-physics simulation framework
We present SimNet, an AI-driven multi-physics simulation framework, to a...
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12/01/2020
Displacement-Invariant Cost Computation for Efficient Stereo Matching
Although deep learning-based methods have dominated stereo matching lead...
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02/21/2020
Convolutional Tensor-Train LSTM for Spatio-temporal Learning
Higher-order Recurrent Neural Networks (RNNs) are effective for long-ter...
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04/02/2019
Boosting segmentation with weak supervision from image-to-image translation
In many cases, especially with medical images, it is prohibitively chall...
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02/21/2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks
We introduce a data-driven forecasting method for high dimensional, chao...
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10/23/2017
Fully Context-Aware Video Prediction
This paper proposes a new neural network design for unsupervised learnin...
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06/24/2015