b'Zhiwu Huang'

research

∙ 03/26/2023

Adaptive Riemannian Metrics on SPD Manifolds

Symmetric Positive Definite (SPD) matrices have received wide attention ...

0 Ziheng Chen, et al. ∙

research

∙ 03/25/2023

Freestyle Layout-to-Image Synthesis

Typical layout-to-image synthesis (LIS) models generate images for a clo...

0 Han Xue, et al. ∙

research

∙ 02/28/2023

Benchmarking Deepart Detection

Deepfake technologies have been blurring the boundaries between the real...

0 Yabin Wang, et al. ∙

research

∙ 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 ...

0 Yabin Wang, et al. ∙

research

∙ 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...

0 Yabin Wang, et al. ∙

research

∙ 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...

0 Chuqiao Li, et al. ∙

research

∙ 10/11/2021

Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo

We present an automated machine learning approach for uncalibrated photo...

0 Francesco Sarno, et al. ∙

research

∙ 06/07/2021

Generative Flows with Invertible Attentions

Flow-based generative models have shown excellent ability to explicitly ...

1 Rhea Sanjay Sukthanker, et al. ∙

research

∙ 04/09/2021

Direct Differentiable Augmentation Search

Data augmentation has been an indispensable tool to improve the performa...

0 Aoming Liu, et al. ∙

research

∙ 03/07/2021

Spectral Tensor Train Parameterization of Deep Learning Layers

We study low-rank parameterizations of weight matrices with embedded spe...

15 Anton Obukhov, et al. ∙

research

∙ 02/12/2021

Efficient Conditional GAN Transfer with Knowledge Propagation across Classes

Generative adversarial networks (GANs) have shown impressive results in ...

16 Mohamad Shahbazi, et al. ∙

research

∙ 01/17/2021

Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution

This paper proposes a trilevel neural architecture search (NAS) method f...

0 Yan Wu, et al. ∙

research

∙ 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...

16 Dario Fuoli, et al. ∙

research

∙ 10/27/2020

Neural Architecture Search of SPD Manifold Networks

In this paper, we propose a new neural architecture search (NAS) problem...

0 Rhea Sanjay Sukthanker, et al. ∙

research

∙ 10/19/2020

Facial Emotion Recognition with Noisy Multi-task Annotations

Human emotions can be inferred from facial expressions. However, the ann...

0 Siwei Zhang, et al. ∙

research

∙ 09/14/2020

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

This paper reviews the video extreme super-resolution challenge associat...

9 Dario Fuoli, et al. ∙

research

∙ 07/31/2020

Neural Architecture Search as Sparse Supernet

This paper aims at enlarging the problem of Neural Architecture Search f...

7 Yan Wu, et al. ∙

research

∙ 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...

29 Yuan Tian, et al. ∙

research

∙ 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...

2 Dario Fuoli, et al. ∙

research

∙ 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...

15 Zhiwu Huang, et al. ∙

research

∙ 04/10/2019

Sliced Wasserstein Generative Models

In generative modeling, the Wasserstein distance (WD) has emerged as a u...

46 Jiqing Wu, et al. ∙

research

∙ 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 ...

0 Dinesh Acharya, et al. ∙

research

∙ 05/13/2018

Covariance Pooling For Facial Expression Recognition

Classifying facial expressions into different categories requires captur...

0 Dinesh Acharya, et al. ∙

research

∙ 12/05/2017

Manifold-valued Image Generation with Wasserstein Adversarial Networks

Unsupervised image generation has recently received an increasing amount...

0 Zhiwu Huang, et al. ∙

research

∙ 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...

0 Jiqing Wu, et al. ∙

research

∙ 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...

0 Zhiwu Huang, et al. ∙

research

∙ 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...

0 Bernhard Kratzwald, et al. ∙

research

∙ 06/08/2017

Generative Autotransporters

In this paper, we aim to introduce the classic Optimal Transport theory ...

0 Jiqing Wu, et al. ∙

research

∙ 04/05/2017

On the Relation between Color Image Denoising and Classification

Large amount of image denoising literature focuses on single channel ima...

0 Jiqing Wu, et al. ∙

research

∙ 12/18/2016

Deep Learning on Lie Groups for Skeleton-based Action Recognition

In recent years, skeleton-based action recognition has become a popular ...

0 Zhiwu Huang, et al. ∙

research

∙ 11/17/2016

Building Deep Networks on Grassmann Manifolds

Learning representations on Grassmann manifolds is popular in quite a fe...

0 Zhiwu Huang, et al. ∙

research

∙ 08/17/2016

Geometry-aware Similarity Learning on SPD Manifolds for Visual Recognition

Symmetric Positive Definite (SPD) matrices have been widely used for dat...

0 Zhiwu Huang, et al. ∙

research

∙ 08/15/2016

A Riemannian Network for SPD Matrix Learning

Symmetric Positive Definite (SPD) matrix learning methods have become po...

0 Zhiwu Huang, et al. ∙

research

∙ 08/15/2016

Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video

Riemannian manifolds have been widely employed for video representations...

0 Zhiwu Huang, et al. ∙

Zhiwu Huang

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