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06/26/2023
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring
Unpaired image-to-image translation (UNIT) aims to map images between tw...
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02/03/2023
ShadowFormer: Global Context Helps Image Shadow Removal
Recent deep learning methods have achieved promising results in image sh...
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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...
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12/20/2022
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
The mechanism of existing style transfer algorithms is by minimizing a h...
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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...
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04/06/2022
Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN
Instance segmentation for unlabeled imaging modalities is a challenging ...
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12/10/2021
Boosting Active Learning via Improving Test Performance
Central to active learning (AL) is what data should be selected for anno...
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11/11/2021
FINO: Flow-based Joint Image and Noise Model
One of the fundamental challenges in image restoration is denoising, whe...
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09/21/2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Contrastive learning has been widely applied to graph representation lea...
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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...
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07/29/2021
Semi-Supervised Active Learning with Temporal Output Discrepancy
While deep learning succeeds in a wide range of tasks, it highly depends...
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07/13/2021
ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement
Low-light image enhancement (LLIE) is a pervasive yet challenging proble...
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04/19/2021
BM-NAS: Bilevel Multimodal Neural Architecture Search
Deep neural networks (DNNs) have shown superior performances on various ...
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03/31/2021
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
Universal style transfer retains styles from reference images in content...
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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...
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09/11/2020
TP-LSD: Tri-Points Based Line Segment Detector
This paper proposes a novel deep convolutional model, Tri-Points Based L...
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07/23/2020
SBAT: Video Captioning with Sparse Boundary-Aware Transformer
In this paper, we focus on the problem of applying the transformer struc...
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03/17/2020
Parameter-Free Style Projection for Arbitrary Style Transfer
Arbitrary image style transfer is a challenging task which aims to styli...
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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...
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04/10/2019
Text Guided Person Image Synthesis
This paper presents a novel method to manipulate the visual appearance (...
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11/29/2018
Perceiving Physical Equation by Observing Visual Scenarios
Inferring universal laws of the environment is an important ability of h...
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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...
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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...
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01/27/2016