Siyu Huang | DeepAI

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Wei Liu
370 publications
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210 publications
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179 publications
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174 publications
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122 publications
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Hanspeter Pfister
81 publications

∙ 06/26/2023

Domain-Scalable Unpaired Image Translation via Latent Space Anchoring

Unpaired image-to-image translation (UNIT) aims to map images between tw...

0 Siyu Huang, et al. ∙

∙ 02/03/2023

ShadowFormer: Global Context Helps Image Shadow Removal

Recent deep learning methods have achieved promising results in image sh...

0 Lanqing Guo, et al. ∙

∙ 12/20/2022

Temporal Output Discrepancy for Loss Estimation-based Active Learning

While deep learning succeeds in a wide range of tasks, it highly depends...

0 Siyu Huang, et al. ∙

∙ 12/20/2022

QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity

The mechanism of existing style transfer algorithms is by minimizing a h...

0 Siyu Huang, et al. ∙

∙ 10/05/2022

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning

Active learning promises to improve annotation efficiency by iteratively...

8 Liangyu Chen, et al. ∙

∙ 04/06/2022

Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN

Instance segmentation for unlabeled imaging modalities is a challenging ...

1 Leander Lauenburg, et al. ∙

∙ 12/10/2021

Boosting Active Learning via Improving Test Performance

Central to active learning (AL) is what data should be selected for anno...

0 Tianyang Wang, et al. ∙

∙ 11/11/2021

FINO: Flow-based Joint Image and Noise Model

One of the fundamental challenges in image restoration is denoising, whe...

0 Lanqing Guo, et al. ∙

∙ 09/21/2021

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Contrastive learning has been widely applied to graph representation lea...

0 Yihang Yin, et al. ∙

∙ 09/02/2021

Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study

Existing interpretation algorithms have found that, even deep models mak...

3 Xuhong Li, et al. ∙

∙ 07/29/2021

Semi-Supervised Active Learning with Temporal Output Discrepancy

While deep learning succeeds in a wide range of tasks, it highly depends...

0 Siyu Huang, et al. ∙

∙ 07/13/2021

ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement

Low-light image enhancement (LLIE) is a pervasive yet challenging proble...

17 Rongkai Zhang, et al. ∙

∙ 04/19/2021

BM-NAS: Bilevel Multimodal Neural Architecture Search

Deep neural networks (DNNs) have shown superior performances on various ...

0 Yihang Yin, et al. ∙

∙ 03/31/2021

ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows

Universal style transfer retains styles from reference images in content...

7 Jie An, et al. ∙

∙ 10/07/2020

Contour Primitive of Interest Extraction Network Based on One-shot Learning for Object-Agnostic Vision Measurement

Image contour based vision measurement is widely applied in robot manipu...

0 Fangbo Qin, et al. ∙

∙ 09/11/2020

TP-LSD: Tri-Points Based Line Segment Detector

This paper proposes a novel deep convolutional model, Tri-Points Based L...

0 Siyu Huang, et al. ∙

∙ 07/23/2020

SBAT: Video Captioning with Sparse Boundary-Aware Transformer

In this paper, we focus on the problem of applying the transformer struc...

0 Tao Jin, et al. ∙

∙ 03/17/2020

Parameter-Free Style Projection for Arbitrary Style Transfer

Arbitrary image style transfer is a challenging task which aims to styli...

0 Siyu Huang, et al. ∙

∙ 11/01/2019

Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning

This paper addresses the challenging task of video captioning which aims...

9 Tao Jin, et al. ∙

∙ 04/10/2019

Text Guided Person Image Synthesis

This paper presents a novel method to manipulate the visual appearance (...

0 Xingran Zhou, et al. ∙

∙ 11/29/2018

Perceiving Physical Equation by Observing Visual Scenarios

Inferring universal laws of the environment is an important ability of h...

1 Siyu Huang, et al. ∙

∙ 08/22/2018

Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance

In this work, we explore the cross-scale similarity in crowd counting sc...

1 Siyu Huang, et al. ∙

∙ 04/19/2018

GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning

A key problem in deep multi-attribute learning is to effectively discove...

1 Siyu Huang, et al. ∙

∙ 01/27/2016

Deep Learning Driven Visual Path Prediction from a Single Image

Capabilities of inference and prediction are significant components of v...

0 Siyu Huang, et al. ∙

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