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03/08/2023
Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space
Recently, there have been some attempts of Transformer in 3D point cloud...
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10/03/2022
Smooth image-to-image translations with latent space interpolations
Multi-domain image-to-image (I2I) translations can transform a source im...
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08/26/2022
Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation
3D-aware GANs based on generative neural radiance fields (GNeRF) have ac...
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08/03/2022
YOLO-FaceV2: A Scale and Occlusion Aware Face Detector
In recent years, face detection algorithms based on deep learning have m...
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07/25/2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
The success of Vision Transformer (ViT) in various computer vision tasks...
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06/09/2022
Spatial Entropy Regularization for Vision Transformers
Recent work has shown that the attention maps of Vision Transformers (VT...
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05/25/2022
Breaking the Chain of Gradient Leakage in Vision Transformers
User privacy is of great concern in Federated Learning, while Vision Tra...
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05/13/2022
MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset
During the past decade, neural network models have made tremendous progr...
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03/29/2022
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics
Current practices in metric evaluation focus on one single dataset, e.g....
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09/26/2021
ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation
Recently, there has been an increasing interest in image editing methods...
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06/16/2021
Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation
Image-to-Image (I2I) multi-domain translation models are usually evaluat...
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06/07/2021
Efficient Training of Visual Transformers with Small-Size Datasets
Visual Transformers (VTs) are emerging as an architectural paradigm alte...
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05/06/2021
Assessing Dialogue Systems with Distribution Distances
An important aspect of developing dialogue systems is how to evaluate an...
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03/30/2021
The Matter of Time – A General and Efficient System for Precise Sensor Synchronization in Robotic Computing
Time synchronization is a critical task in robotic computing such as aut...
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02/22/2021
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
Building extraction in VHR RSIs remains to be a challenging task due to ...
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10/19/2020
Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation
Manipulating images of complex scenes to reconstruct, insert and/or remo...
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08/11/2020
Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation
Image to image translation aims to learn a mapping that transforms an im...
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08/10/2020
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
Manipulating visual attributes of images through human-written text is a...
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04/06/2020
Vanishing Point Guided Natural Image Stitching
Recently, works on improving the naturalness of stitching images gain mo...
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03/15/2020
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling
Unsupervised image-to-image translation (UNIT) aims at learning a mappin...
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11/18/2019
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation
Context-aware recommender systems (CARS), which consider rich side infor...
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07/12/2019
Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps
Recent works have shown Generative Adversarial Networks (GANs) to be par...
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01/08/2019
Fast 3D Line Segment Detection From Unorganized Point Cloud
This paper presents a very simple but efficient algorithm for 3D line se...
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07/17/2018
Local Rejection Sampling with Soft Filters
We study a new LLL-like framework for rejection sampling, which naturall...
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05/12/2017