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09/12/2023
Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data
This paper aims to remove specular highlights from a single object-level...
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07/05/2023
An Equivalent Graph Reconstruction Model and its Application in Recommendation Prediction
Recommendation algorithm plays an important role in recommendation syste...
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05/11/2023
Pyramid Texture Filtering
We present a simple but effective technique to smooth out textures while...
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03/28/2023
PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout
Content-aware visual-textual presentation layout aims at arranging spati...
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02/23/2023
Evaluating the Efficacy of Skincare Product: A Realistic Short-Term Facial Pore Simulation
Simulating the effects of skincare products on face is a potential new w...
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07/15/2022
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space
Diverse human motion prediction aims at predicting multiple possible fut...
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03/30/2022
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction
This paper presents a high-quality human motion prediction method that a...
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12/12/2021
Two New Stenosis Detection Methods of Coronary Angiograms
Coronary angiography is the "gold standard" for diagnosing coronary arte...
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08/16/2021
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
Human motion prediction is a challenging task due to the stochasticity a...
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08/16/2021
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
In this paper, we propose $\text{HF}^2$-VAD, a Hybrid framework that int...
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08/06/2021
From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data
Single image dehazing is a challenging task, for which the domain shift ...
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08/03/2021
Two New Stenoses Detection Methods of Coronary Angiograms
Coronary angiography is the "gold standard" for the diagnosis of coronar...
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07/22/2021
Improving Blockchain Consistency by Assigning Weights to Random Blocks
Blockchains based on the celebrated Nakamoto consensus protocol have sho...
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12/06/2020
Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud
Terrestrial laser scanning technology provides an efficient and accuracy...
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10/25/2020
PanelPRO: A R package for multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer
Identifying individuals who are at high risk of cancer due to inherited ...
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02/28/2020
Automated classification of stems and leaves of potted plants based on point cloud data
The accurate classification of plant organs is a key step in monitoring ...
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01/30/2020
Automatic marker-free registration of tree point-cloud data based on rotating projection
Point-cloud data acquired using a terrestrial laser scanner (TLS) play a...
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10/30/2019
Dual Illumination Estimation for Robust Exposure Correction
Exposure correction is one of the fundamental tasks in image processing ...
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07/25/2019
Enhancing Underexposed Photos using Perceptually Bidirectional Similarity
This paper addresses the problem of enhancing underexposed photos. Exist...
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11/21/2018
A Novel Integrated Framework for Learning both Text Detection and Recognition
In this paper, we propose a novel integrated framework for learning both...
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11/21/2018
Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks
In this work, we propose a graph-adaptive pruning (GAP) method for effic...
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11/20/2018
Pyramid Embedded Generative Adversarial Network for Automated Font Generation
In this paper, we investigate the Chinese font synthesis problem and pro...
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10/22/2018
Applying Deep Learning To Airbnb Search
The application to search ranking is one of the biggest machine learning...
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06/18/2018