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07/30/2023
InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer
Artistic style transfer aims to transfer the style of an artwork to a ph...
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06/26/2023
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection
The privacy and security of face data on social media are facing unprece...
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04/28/2023
Earning Extra Performance from Restrictive Feedbacks
Many machine learning applications encounter a situation where model pro...
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04/05/2023
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search
Approximate nearest neighbour (ANN) search is an essential component of ...
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04/02/2023
Adversary-Aware Partial label learning with Label distillation
To ensure that the data collected from human subjects is entrusted with ...
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03/11/2023
DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation
Text-driven image manipulation remains challenging in training or infere...
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09/29/2021
Detailed Region-Adaptive Normalization for Heavy Makeup Transfer
In recent years, facial makeup transfer has attracted growing attention ...
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06/11/2021
Neural Optimization Kernel: Towards Robust Deep Learning
Recent studies show a close connection between neural networks (NN) and ...
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04/21/2021
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer
In recent years, virtual makeup applications have become more and more p...
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06/26/2020
Intrinsic Reward Driven Imitation Learning via Generative Model
Imitation learning in a high-dimensional environment is challenging. Mos...
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10/09/2019
Stochastic Implicit Natural Gradient for Black-box Optimization
Black-box optimization is primarily important for many compute-intensive...
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05/24/2019
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Generalization is vital important for many deep network models. It becom...
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05/24/2019
Efficient Batch Black-box Optimization with Deterministic Regret Bounds
In this work, we investigate black-box optimization from the perspective...
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05/21/2019
