Computer Vision

Wavelet Diffusion Models are fast and scalable Image Generators

1. Introduction Diffusion models are rising as a powerful solution for high-fidelity image generatio(...)

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31/07/2023

Machine Learning

Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction

1. Introduction Based on the closed-form solution of Wasserstein distance in one dimension, Sliced W(...)

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31/07/2023

Machine Learning

Global-Local Regularization Via Distributional Robustness

1. Introduction As the Wasserstein (WS) distance is a powerful and convenient tool of measuring clos(...)

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25/07/2023

Computer Vision

ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution

1. Introduction Existing 3D instance segmentation methods are predominated by the bottom-up design ‚(...)

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21/07/2023

Computer Vision

Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis

1. Introduction Any-scale image synthesis is efficient and scalable, but GAN-based solutions rely to(...)

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18/07/2023

Natural Language Processing

XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech

Motivations: Advancements in neural TTS technology have led to significant improvements in producing(...)

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11/07/2023

Computer Vision

VinAI Resident achieves Best Paper (Honorable Mention Award) at WACV 2023

Hue Nguyen and her team were awarded the Best Paper (Honorable Mention) at the Winter Conference on (...)

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18/01/2023

Computer Vision

Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter

1. Introduction We introduce a new problem in 3D point cloud: few-shot instance segmentation (3DFSIS(...)

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01/11/2022

Natural Language Processing

BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese

1. Motivations The masked language model  BERT and its variants, pre-trained on large-scale corpora(...)

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27/10/2022

Computer Vision

Few-shot Object Counting and Detection

1. Introduction 1.1. Problem setup This paper addresses a new task of Few-Shot object Counting and D(...)

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27/10/2022

Machine Learning

Stochastic Multiple Target Sampling Gradient Descent

1. Introduction Sampling from an unnormalized target distribution that we know the density function (...)

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27/10/2022

Natural Language Processing

Textual Manifold-based Defense Against Natural Language Adversarial Examples

1. Introduction The field of NLP has achieved remarkable success in recent years, thanks to the deve(...)

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25/10/2022