no code implementations • 9 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.
no code implementations • 13 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.
no code implementations • 12 Dec 2021 • Minh-Quan Le, Trung-Nghia Le, Tam V. Nguyen, Isao Echizen, Minh-Triet Tran
Recent years have witnessed great advances in object segmentation research.
no code implementations • 7 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.
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.
Ranked #9 on Camouflaged Object Segmentation on CAMO
no code implementations • 5 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.
no code implementations • 31 Mar 2021 • Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Minh-Quan Le, Khanh-Duy Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen
We also provide a benchmark suite for the task of camouflaged instance segmentation.
no code implementations • 26 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.
no code implementations • 1 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.
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.
Ranked #3 on Camouflaged Object Segmentation on CAMO
1 code implementation • 16 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.
no code implementations • 24 Apr 2019 • Thanh-Toan Do, Khoa Le, Tuan Hoang, Huu Le, Tam V. Nguyen, Ngai-Man Cheung
This global vector is then subjected to a hashing function to generate a binary hash code.
1 code implementation • 7 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.
no code implementations • 22 Sep 2017 • Tam V. Nguyen, Guangyu Gao
Image retargeting effectively resizes images by preserving the recognizability of important image regions.
no code implementations • 22 Sep 2017 • Tam V. Nguyen, Luoqi Liu
The female facial image beautification usually requires professional editing softwares, which are relatively difficult for common users.
no code implementations • 23 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.
no code implementations • 17 Aug 2015 • Kang Wang, Tam V. Nguyen, Jiashi Feng, Jose Sepulveda
With the development of Internet culture, cuteness has become a popular concept.
no code implementations • 29 May 2015 • Tam V. Nguyen, Jose Sepulveda
First, our method generates the objectness map via objectness hypotheses.
no code implementations • 7 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.