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03/26/2023
Adaptive Riemannian Metrics on SPD Manifolds
Symmetric Positive Definite (SPD) matrices have received wide attention ...
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03/25/2023
Freestyle Layout-to-Image Synthesis
Typical layout-to-image synthesis (LIS) models generate images for a clo...
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02/28/2023
Benchmarking Deepart Detection
Deepfake technologies have been blurring the boundaries between the real...
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11/29/2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
This paper focuses on the prevalent performance imbalance in the stages ...
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07/26/2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
State-of-the-art deep neural networks are still struggling to address th...
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05/11/2022
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials
There have been emerging a number of benchmarks and techniques for the d...
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10/11/2021
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo
We present an automated machine learning approach for uncalibrated photo...
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06/07/2021
Generative Flows with Invertible Attentions
Flow-based generative models have shown excellent ability to explicitly ...
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04/09/2021
Direct Differentiable Augmentation Search
Data augmentation has been an indispensable tool to improve the performa...
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03/07/2021
Spectral Tensor Train Parameterization of Deep Learning Layers
We study low-rank parameterizations of weight matrices with embedded spe...
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02/12/2021
Efficient Conditional GAN Transfer with Knowledge Propagation across Classes
Generative adversarial networks (GANs) have shown impressive results in ...
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01/17/2021
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution
This paper proposes a trilevel neural architecture search (NAS) method f...
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12/24/2020
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
Video enhancement is a challenging problem, more than that of stills, ma...
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10/27/2020
Neural Architecture Search of SPD Manifold Networks
In this paper, we propose a new neural architecture search (NAS) problem...
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10/19/2020
Facial Emotion Recognition with Noisy Multi-task Annotations
Human emotions can be inferred from facial expressions. However, the ann...
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09/14/2020
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
This paper reviews the video extreme super-resolution challenge associat...
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07/31/2020
Neural Architecture Search as Sparse Supernet
This paper aims at enlarging the problem of Neural Architecture Search f...
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07/17/2020
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search
In this paper, we introduce a new reinforcement learning (RL) based neur...
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05/05/2020
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
This paper reviews the NTIRE 2020 challenge on video quality mapping (VQ...
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10/23/2019
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement
This paper introduces a divide-and-conquer inspired adversarial learning...
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04/10/2019
Sliced Wasserstein Generative Models
In generative modeling, the Wasserstein distance (WD) has emerged as a u...
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10/04/2018
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs
The extension of image generation to video generation turns out to be a ...
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05/13/2018
Covariance Pooling For Facial Expression Recognition
Classifying facial expressions into different categories requires captur...
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12/05/2017
Manifold-valued Image Generation with Wasserstein Adversarial Networks
Unsupervised image generation has recently received an increasing amount...
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12/04/2017
Energy-relaxed Wassertein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation
Recently, generative adversarial networks (GANs) have achieved great imp...
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12/04/2017
Face Translation between Images and Videos using Identity-aware CycleGAN
This paper presents a new problem of unpaired face translation between i...
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11/30/2017
Towards an Understanding of Our World by GANing Videos in the Wild
Existing generative video models work well only for videos with a static...
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06/08/2017
Generative Autotransporters
In this paper, we aim to introduce the classic Optimal Transport theory ...
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04/05/2017
On the Relation between Color Image Denoising and Classification
Large amount of image denoising literature focuses on single channel ima...
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12/18/2016
Deep Learning on Lie Groups for Skeleton-based Action Recognition
In recent years, skeleton-based action recognition has become a popular ...
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11/17/2016
Building Deep Networks on Grassmann Manifolds
Learning representations on Grassmann manifolds is popular in quite a fe...
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08/17/2016
Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition
Symmetric Positive Definite (SPD) matrices have been widely used for dat...
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08/15/2016
A Riemannian Network for SPD Matrix Learning
Symmetric Positive Definite (SPD) matrix learning methods have become po...
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08/15/2016
