Hao Tang

AttentionGAN: Unpaired Image-to-Image Translation using Attention-Guided Generative Adversarial Networks

State-of-the-art methods in the unpaired image-to-image translation are ...
11/27/2019 ∙ by Hao Tang, et al. ∙ 52 ∙ share

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Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Cross-view image translation is challenging because it involves images w...
04/15/2019 ∙ by Hao Tang, et al. ∙ 36 ∙ share

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Improving Semantic Segmentation of Aerial Images Using Patch-based Attention

The trade-off between feature representation power and spatial localizat...
11/20/2019 ∙ by Lei Ding, et al. ∙ 32 ∙ share

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Unified Generative Adversarial Networks for Controllable Image-to-Image Translation

Controllable image-to-image translation, i.e., transferring an image fro...
12/12/2019 ∙ by Hao Tang, et al. ∙ 32 ∙ share

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Asymmetric Generative Adversarial Networks for Image-to-Image Translation

State-of-the-art models for unpaired image-to-image translation with Gen...
12/14/2019 ∙ by Hao Tang, et al. ∙ 28 ∙ share

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Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

State-of-the-art methods for image-to-image translation with Generative ...
01/14/2019 ∙ by Hao Tang, et al. ∙ 12 ∙ share

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Exocentric to Egocentric Image Generation via Parallel Generative Adversarial Network

Cross-view image generation has been recently proposed to generate image...
02/08/2020 ∙ by Gaowen Liu, et al. ∙ 12 ∙ share

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Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation

We propose a novel model named Multi-Channel Attention Selection Generat...
02/03/2020 ∙ by Hao Tang, et al. ∙ 10 ∙ share

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Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion

Gesture recognition is a hot topic in computer vision and pattern recogn...
01/15/2019 ∙ by Hao Tang, et al. ∙ 8 ∙ share

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Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

In this paper, we address the task of semantic-guided scene generation. ...
12/27/2019 ∙ by Hao Tang, et al. ∙ 8 ∙ share

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Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) addresses the problem of performanc...
05/11/2019 ∙ by Songsong Wu, et al. ∙ 7 ∙ share

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Cascade Attention Guided Residue Learning GAN for Cross-Modal Translation

Since we were babies, we intuitively develop the ability to correlate th...
07/03/2019 ∙ by Bin Duan, et al. ∙ 7 ∙ share

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Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

In this work, we propose a novel Cycle In Cycle Generative Adversarial N...
08/02/2019 ∙ by Hao Tang, et al. ∙ 6 ∙ share

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AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets

Organs-at-risk (OAR) delineation in computed tomography (CT) is an impor...
01/13/2020 ∙ by Shanlin Sun, et al. ∙ 6 ∙ share

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Attribute-Guided Sketch Generation

Facial attributes are important since they provide a detailed descriptio...
01/28/2019 ∙ by Hao Tang, et al. ∙ 4 ∙ share

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Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation

We study the problem of recognizing video sequences of fingerspelled let...
09/26/2016 ∙ by Taehwan Kim, et al. ∙ 0 ∙ share

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Multitask Learning with Low-Level Auxiliary Tasks for Encoder-Decoder Based Speech Recognition

End-to-end training of deep learning-based models allows for implicit le...
04/05/2017 ∙ by Shubham Toshniwal, et al. ∙ 0 ∙ share

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End-to-End Training Approaches for Discriminative Segmental Models

Recent work on discriminative segmental models has shown that they can a...
10/21/2016 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Efficient Segmental Cascades for Speech Recognition

Discriminative segmental models offer a way to incorporate flexible feat...
08/02/2016 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Signer-independent Fingerspelling Recognition with Deep Neural Network Adaptation

We study the problem of recognition of fingerspelled letter sequences in...
02/13/2016 ∙ by Taehwan Kim, et al. ∙ 0 ∙ share

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Discriminative Segmental Cascades for Feature-Rich Phone Recognition

Discriminative segmental models, such as segmental conditional random fi...
07/22/2015 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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End-to-End Neural Segmental Models for Speech Recognition

Segmental models are an alternative to frame-based models for sequence p...
08/01/2017 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Sequence Prediction with Neural Segmental Models

Segments that span contiguous parts of inputs, such as phonemes in speec...
09/05/2017 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation

Recent works have shown the benefit of integrating Conditional Random Fi...
03/29/2018 ∙ by Dan Xu, et al. ∙ 0 ∙ share

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GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

Hand gesture-to-gesture translation in the wild is a challenging task si...
08/14/2018 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Accurate indoor mapping using an autonomous unmanned aerial vehicle (UAV)

An autonomous indoor aerial vehicle requires reliable simul- taneous loc...
07/31/2018 ∙ by Lachlan Dowling, et al. ∙ 0 ∙ share

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On Training Recurrent Networks with Truncated Backpropagation Through Time in Speech Recognition

Recurrent neural networks have been the dominant models for many speech ...
07/09/2018 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Frame-level speaker embeddings for text-independent speaker recognition and analysis of end-to-end model

In this paper, we propose a Convolutional Neural Network (CNN) based spe...
09/12/2018 ∙ by Suwon Shon, et al. ∙ 0 ∙ share

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Deep Micro-Dictionary Learning and Coding Network

In this paper, we propose a novel Deep Micro-Dictionary Learning and Cod...
09/11/2018 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition

The current trend in automatic speech recognition is to leverage large a...
06/13/2018 ∙ by Wei-Ning Hsu, et al. ∙ 0 ∙ share

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A Study of Enhancement, Augmentation, and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition

Speech recognizers trained on close-talking speech do not generalize to ...
06/13/2018 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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On The Inductive Bias of Words in Acoustics-to-Word Models

Acoustics-to-word models are end-to-end speech recognizers that use word...
10/31/2018 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Generalizing semi-supervised generative adversarial networks to regression

In this work, we generalize semi-supervised generative adversarial netwo...
11/27/2018 ∙ by Greg Olmschenk, et al. ∙ 0 ∙ share

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Improving Dense Crowd Counting Convolutional Neural Networks using Inverse k-Nearest Neighbor Maps and Multiscale Upsampling

Gatherings of thousands to millions of people occur frequently for an en...
01/31/2019 ∙ by Greg Olmschenk, et al. ∙ 0 ∙ share

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Automatic Pulmonary Lobe Segmentation Using Deep Learning

Pulmonary lobe segmentation is an important task for pulmonary disease r...
03/23/2019 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation

The state-of-the-art approaches in Generative Adversarial Networks (GANs...
03/28/2019 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction

Pulmonary nodule detection using low-dose Computed Tomography (CT) is of...
03/23/2019 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Joint Learning of Self-Representation and Indicator for Multi-View Image Clustering

Multi-view subspace clustering aims to divide a set of multisource data ...
05/11/2019 ∙ by Songsong Wu, et al. ∙ 0 ∙ share

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Automated pulmonary nodule detection using 3D deep convolutional neural networks

Early detection of pulmonary nodules in computed tomography (CT) images ...
03/23/2019 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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An Unsupervised Autoregressive Model for Speech Representation Learning

This paper proposes a novel unsupervised autoregressive neural model for...
04/05/2019 ∙ by Yu-An Chung, et al. ∙ 0 ∙ share

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VoiceID Loss: Speech Enhancement for Speaker Verification

In this paper, we propose VoiceID loss, a novel loss function for traini...
04/07/2019 ∙ by Suwon Shon, et al. ∙ 0 ∙ share

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GazeCorrection:Self-Guided Eye Manipulation in the wild using Self-Supervised Generative Adversarial Networks

Gaze correction aims to redirect the person's gaze into the camera by ma...
06/03/2019 ∙ by Jichao Zhang, et al. ∙ 0 ∙ share

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Relating Simple Sentence Representations in Deep Neural Networks and the Brain

What is the relationship between sentence representations learned by dee...
06/27/2019 ∙ by Sharmistha Jat, et al. ∙ 0 ∙ share

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Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification

There are a number of studies about extraction of bottleneck (BN) featur...
05/11/2019 ∙ by Achintya kr. Sarkar, et al. ∙ 0 ∙ share

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NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation

Pulmonary nodule detection, false positive reduction and segmentation re...
07/25/2019 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Expression Conditional GAN for Facial Expression-to-Expression Translation

In this paper, we focus on the facial expression translation task and pr...
05/14/2019 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT

This paper proposes a straightforward 2-D method to spatially calibrate ...
02/04/2020 ∙ by Francois Grondin, et al. ∙ 0 ∙ share

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Hao Tang

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