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09/02/2023
MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation
This paper addresses the issue of modifying the visual appearance of vid...
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08/28/2023
MagicEdit: High-Fidelity and Temporally Coherent Video Editing
In this report, we present MagicEdit, a surprisingly simple yet effectiv...
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08/28/2023
MagicAvatar: Multimodal Avatar Generation and Animation
This report presents MagicAvatar, a framework for multimodal video gener...
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07/20/2023
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Existing customization methods require access to multiple reference exam...
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02/07/2023
Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
Not all positive pairs are beneficial to time series contrastive learnin...
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11/20/2022
MagicVideo: Efficient Video Generation With Latent Diffusion Models
We present an efficient text-to-video generation framework based on late...
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11/19/2022
Towards Adversarial Robustness of Deep Vision Algorithms
Deep learning methods have achieved great success in solving computer vi...
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10/28/2022
MagicMix: Semantic Mixing with Diffusion Models
Have you ever imagined what a corgi-alike coffee machine or a tiger-alik...
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01/12/2022
Towards Adversarially Robust Deep Image Denoising
This work systematically investigates the adversarial robustness of deep...
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10/07/2021
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Overparametrized Deep Neural Networks (DNNs) often achieve astounding pe...
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10/03/2021
Information-Theoretic Generalization Bounds for Iterative Semi-Supervised Learning
We consider iterative semi-supervised learning (SSL) algorithms that ite...
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07/05/2021
Recovering the Unbiased Scene Graphs from the Biased Ones
Given input images, scene graph generation (SGG) aims to produce compreh...
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02/10/2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
We investigate the adversarial robustness of CNNs from the perspective o...
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04/24/2020
RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement
Along with the extensive applications of CNN models for classification, ...
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03/30/2020
PANDA: Prototypical Unsupervised Domain Adaptation
Previous adversarial domain alignment methods for unsupervised domain ad...
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10/12/2019
On Robustness of Neural Ordinary Differential Equations
Neural ordinary differential equations (ODEs) have been attracting incre...
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06/13/2019