Search Results for author: Tam V. Nguyen

Found 19 papers, 3 papers with code

MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation

no code implementations9 Mar 2023 Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran

Few-shot instance segmentation extends the few-shot learning paradigm to the instance segmentation task, which tries to segment instance objects from a query image with a few annotated examples of novel categories.

Few-Shot Learning Instance Segmentation +1

Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing

no code implementations13 Dec 2021 Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

First, to learn informative representations that can preserve both intra- and inter-modal similarities, we leverage the recent advances in estimating variational lower-bound of MI to maximize the MI between the binary representations and input features and between binary representations of different modalities.

Cross-Modal Retrieval Retrieval

Contextual Guided Segmentation Framework for Semi-supervised Video Instance Segmentation

no code implementations7 Jun 2021 Trung-Nghia Le, Tam V. Nguyen, Minh-Triet Tran

For human instance, we develop skeleton-guided segmentation in a frame along with object flow to correct and refine the result across frames.

Human-Object Interaction Detection Instance Segmentation +2

Anabranch Network for Camouflaged Object Segmentation

2 code implementations Computer Vision and Image Understanding 2019 Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie, Minh-Triet Tran, Akihiro Sugimoto

Different from existing networks for segmentation, our proposed network possesses the second branch for classification to predict the probability of containing camouflaged object(s) in an image, which is then fused into the main branch for segmentation to boost up the segmentation accuracy.

Benchmarking Camouflaged Object Segmentation +1

R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation

no code implementations5 May 2021 Dhaval D. Kadia, Md Zahangir Alom, Ranga Burada, Tam V. Nguyen, Vijayan K. Asari

In particular, the proposed model integrates 3D convolution into the Recurrent Residual Neural Network based on U-Net.

Data Augmentation Image Segmentation +1

Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks

no code implementations26 Dec 2020 Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

With this approach, we can learn activation quantizers that minimize the quantization errors in the majority of channels.

Image Classification Quantization

Unsupervised Deep Cross-modality Spectral Hashing

no code implementations1 Aug 2020 Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung

This paper presents a novel framework, namely Deep Cross-modality Spectral Hashing (DCSH), to tackle the unsupervised learning problem of binary hash codes for efficient cross-modal retrieval.

Cross-Modal Retrieval Retrieval +1

MirrorNet: Bio-Inspired Camouflaged Object Segmentation

no code implementations Pattern Recognition Journal 2020 Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen

Differently from existing networks for segmentation, our proposed network possesses two segmentation streams: the main stream and the mirror stream corresponding with the original image and its flipped image, respectively.

Camouflaged Object Segmentation Camouflage Segmentation +1

A Convolutional Transformation Network for Malware Classification

1 code implementation16 Sep 2019 Duc-Ly Vu, Trong-Kha Nguyen, Tam V. Nguyen, Tu N. Nguyen, Fabio Massacci, Phu H. Phung

In this paper, we introduce a novel approach to classify malware by using a deep network on images transformed from binary samples.

Classification General Classification +1

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval

1 code implementation7 Feb 2018 Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung

In the large-scale image retrieval task, the two most important requirements are the discriminability of image representations and the efficiency in computation and storage of representations.

Image Retrieval Retrieval

Novel Evaluation Metrics for Seam Carving based Image Retargeting

no code implementations22 Sep 2017 Tam V. Nguyen, Guangyu Gao

Image retargeting effectively resizes images by preserving the recognizability of important image regions.

Image Retargeting

Smart Mirror: Intelligent Makeup Recommendation and Synthesis

no code implementations22 Sep 2017 Tam V. Nguyen, Luoqi Liu

The female facial image beautification usually requires professional editing softwares, which are relatively difficult for common users.

Salient Object Detection with Semantic Priors

no code implementations23 May 2017 Tam V. Nguyen, Luoqi Liu

Salient object detection has increasingly become a popular topic in cognitive and computational sciences, including computer vision and artificial intelligence research.

object-detection RGB Salient Object Detection +2

Sense Beyond Expressions: Cuteness

no code implementations17 Aug 2015 Kang Wang, Tam V. Nguyen, Jiashi Feng, Jose Sepulveda

With the development of Internet culture, cuteness has become a popular concept.

Adaptive Nonparametric Image Parsing

no code implementations7 May 2015 Tam V. Nguyen, Can-Yi Lu, Jose Sepulveda, Shuicheng Yan

Instead of fixing $k$ as in traditional non-parametric approaches, here we propose a novel adaptive nonparametric approach which determines the sample-specific k for each test image.


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