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09/21/2023
MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion
In this paper, we introduce a new approach for high-quality multi-exposu...
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08/30/2023
Application of Zone Method based Machine Learning and Physics-Informed Neural Networks in Reheating Furnaces
Despite the high economic relevance of Foundation Industries, certain co...
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05/07/2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
Heterophily has been considered as an issue that hurts the performance o...
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08/16/2022
Combinatorial optimization solving by coherent Ising machines based on spiking neural networks
Spiking neural network is a kind of neuromorphic computing which is beli...
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05/08/2022
On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation
In recent years, pre-trained models have become dominant in most natural...
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04/08/2021
ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling
We present an unsupervised optical flow estimation method by proposing a...
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03/29/2021
Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection
In this paper, we introduce a new framework for unsupervised deep homogr...
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02/03/2021
UPHDR-GAN: Generative Adversarial Network for High Dynamic Range Imaging with Unpaired Data
The paper proposes a method to effectively fuse multi-exposure inputs an...
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12/01/2020
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning
We present an unsupervised learning approach for optical flow estimation...
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11/04/2020
HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning
Deep Recurrent Neural Networks (RNN) continues to find success in predic...
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06/30/2020
OccInpFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning
Occlusion is an inevitable and critical problem in unsupervised optical ...
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05/17/2020
FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces
Facial attractiveness enhancement has been an interesting application in...
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01/23/2020
Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks
Deep Recurrent Neural Networks (RNN) is increasingly used in decision-ma...
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12/11/2019
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration
Image alignment by mesh warps, such as meshflow, is a fundamental task w...
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11/08/2019
Non-parametric Probabilistic Load Flow using Gaussian Process Learning
In this paper, we propose a non-parametric probabilistic load flow (NP-P...
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09/12/2019
Content-Aware Unsupervised Deep Homography Estimation
Robust homography estimation between two images is a fundamental task wh...
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08/14/2019
Recognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques
Diabetic Foot Ulcers (DFU) detection using computerized methods is an em...
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08/12/2019
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
Deep learning-based video salient object detection has recently achieved...
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08/06/2019
Semi-supervised Skin Detection by Network with Mutual Guidance
In this paper we present a new data-driven method for robust skin detect...
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05/08/2019
Frame-Recurrent Video Inpainting by Robust Optical Flow Inference
In this paper, we present a new inpainting framework for recovering miss...
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04/29/2019
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
In this paper, we present new data pre-processing and augmentation techn...
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02/28/2019
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
Generating plausible hair image given limited guidance, such as sparse s...
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01/17/2019
Visual Reasoning of Feature Attribution with Deep Recurrent Neural Networks
Deep Recurrent Neural Network (RNN) has gained popularity in many sequen...
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01/09/2019
GIF2Video: Color Dequantization and Temporal Interpolation of GIF images
Graphics Interchange Format (GIF) is a highly portable graphics format t...
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11/22/2018
MGANet: A Robust Model for Quality Enhancement of Compressed Video
In video compression, most of the existing deep learning approaches conc...
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07/02/2018
A Simple but Effective Classification Model for Grammatical Error Correction
We treat grammatical error correction (GEC) as a classification problem ...
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06/22/2018
Video Inpainting by Jointly Learning Temporal Structure and Spatial Details
We present a new data-driven video inpainting method for recovering miss...
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02/16/2017