Search Results for author: Truong Q. Nguyen

Found 19 papers, 6 papers with code

A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection

1 code implementation25 Jun 2021 Abdullah F. Al-Battal, Yan Gong, Lu Xu, Timothy Morton, Chen Du, Yifeng Bu 1, Imanuel R Lerman, Radhika Madhavan, Truong Q. Nguyen

Real-time accurate and robust automatic detection and tracking of anatomical structures while scanning would significantly impact diagnostic and therapeutic procedures to be consistent and efficient.

Real-Time Object Detection

In Defense of Scene Graphs for Image Captioning

1 code implementation9 Feb 2021 Kien Nguyen, Subarna Tripathi, Bang Du, Tanaya Guha, Truong Q. Nguyen

Several studies have noted that the naive use of scene graphs from a black-box scene graph generator harms image captioning performance and that scene graph-based captioning models have to incur the overhead of explicit use of image features to generate decent captions.

Human-Object Interaction Detection Image Captioning

Toward Joint Image Generation and Compression using Generative Adversarial Networks

no code implementations23 Jan 2019 Byeongkeun Kang, Subarna Tripathi, Truong Q. Nguyen

The proposed method is a promising baseline method for joint image generation and compression using generative adversarial networks.

Image Compression Image Generation +1

Random Forest with Learned Representations for Semantic Segmentation

no code implementations23 Jan 2019 Byeongkeun Kang, Truong Q. Nguyen

In this work, we present a random forest framework that learns the weights, shapes, and sparsities of feature representations for real-time semantic segmentation.

Hand Segmentation Real-Time Semantic Segmentation

DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images

no code implementations27 May 2018 Honggang Chen, Xiaohai He, Linbo Qing, Shuhua Xiong, Truong Q. Nguyen

The pixel domain deep network takes the four downsampled versions of the compressed image to form a 4-channel input and outputs a pixel domain prediction, while the wavelet domain deep network uses the 1-level discrete wavelet transformation (DWT) coefficients to form a 4-channel input to produce a DWT domain prediction.

JPEG Artifact Correction

Correction by Projection: Denoising Images with Generative Adversarial Networks

no code implementations12 Mar 2018 Subarna Tripathi, Zachary C. Lipton, Truong Q. Nguyen

In this paper, we propose to denoise corrupted images by finding the nearest point on the GAN manifold, recovering latent vectors by minimizing distances in image space.

Denoising

Image denoising with generalized Gaussian mixture model patch priors

no code implementations5 Feb 2018 Charles-Alban Deledalle, Shibin Parameswaran, Truong Q. Nguyen

In this paper, we show that a generalized Gaussian mixture model (GGMM) captures the underlying distribution of patches better than a GMM.

Image Denoising Image Restoration

Depth Adaptive Deep Neural Network for Semantic Segmentation

1 code implementation5 Aug 2017 Byeongkeun Kang, Yeejin Lee, Truong Q. Nguyen

To overcome this challenge, we develop a neural network which is able to adapt the receptive field not only for each layer but also for each neuron at the spatial location.

Hand Segmentation Semantic Segmentation

Relevance Subject Machine: A Novel Person Re-identification Framework

no code implementations30 Mar 2017 Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen

We propose a novel method called the Relevance Subject Machine (RSM) to solve the person re-identification (re-id) problem.

Person Re-Identification

Robust Bayesian Method for Simultaneous Block Sparse Signal Recovery with Applications to Face Recognition

no code implementations6 May 2016 Igor Fedorov, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen

In this paper, we present a novel Bayesian approach to recover simultaneously block sparse signals in the presence of outliers.

Face Recognition

A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem

no code implementations7 Apr 2016 Igor Fedorov, Alican Nalci, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen, Harinath Garudadri

We show that the proposed framework encompasses a large class of S-NNLS algorithms and provide a computationally efficient inference procedure based on multiplicative update rules.

Adaptive Image Denoising by Mixture Adaptation

no code implementations19 Jan 2016 Enming Luo, Stanley H. Chan, Truong Q. Nguyen

We propose an adaptive learning procedure to learn patch-based image priors for image denoising.

Image Denoising

Efficient Hand Articulations Tracking using Adaptive Hand Model and Depth map

1 code implementation4 Oct 2015 Byeongkeun Kang, Yeejin Lee, Truong Q. Nguyen

In our system, we track hand articulations by minimizing discrepancy between depth map from sensor and computer-generated hand model.

Real-time Sign Language Fingerspelling Recognition using Convolutional Neural Networks from Depth map

1 code implementation10 Sep 2015 Byeongkeun Kang, Subarna Tripathi, Truong Q. Nguyen

We train CNNs for the classification of 31 alphabets and numbers using a subset of collected depth data from multiple subjects.

Sign Language Recognition

Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution

no code implementations30 Jun 2015 Yuanyuan Wu, Xiaohai He, Byeongkeun Kang, Haiying Song, Truong Q. Nguyen

This letter presents a novel approach to extract reliable dense and long-range motion trajectories of articulated human in a video sequence.

Motion Estimation

Depth Reconstruction from Sparse Samples: Representation, Algorithm, and Sampling

no code implementations14 Jul 2014 Lee-Kang Liu, Stanley H. Chan, Truong Q. Nguyen

Experimental results show that the proposed method produces high quality dense depth estimates, and is robust to noisy measurements.

Stereo Matching Stereo Matching Hand

Adaptive Image Denoising by Targeted Databases

no code implementations30 Jun 2014 Enming Luo, Stanley H. Chan, Truong Q. Nguyen

First, we determine the basis function of the denoising filter by solving a group sparsity minimization problem.

Image Denoising

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