no code implementations • 13 Mar 2024 • Trong-Vu Hoang, Quang-Binh Nguyen, Duy-Nam Ly, Khanh-Duy Le, Tam V. Nguyen, Minh-Triet Tran, Trung-Nghia Le
Drawing is an art that enables people to express their imagination and emotions.
1 code implementation • 13 Mar 2024 • Dinh-Khoi Vo, Duy-Nam Ly, Khanh-Duy Le, Tam V. Nguyen, Minh-Triet Tran, Trung-Nghia Le
With a user-friendly interface, iCONTRA enables both experienced designers and novices to effortlessly explore creative design concepts and efficiently generate thematic collections.
no code implementations • 29 Aug 2023 • Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do
Camouflaged object detection (COD) and camouflaged instance segmentation (CIS) aim to recognize and segment objects that are blended into their surroundings, respectively.
no code implementations • 29 Aug 2023 • Anh-Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen
Our overarching goal is to train a generator that captures the data variations of the base dataset.
1 code implementation • 26 Aug 2023 • Khoi-Nguyen Nguyen-Ngoc, Thanh-Tung Phan-Nguyen, Khanh-Duy Le, Tam V. Nguyen, Minh-Triet Tran, Trung-Nghia Le
Additionally, we propose Virtual Try-on-guided Pose for Data Synthesis to address the limited pose variation observed in training images.
no code implementations • 26 Aug 2023 • Minh-Hien Le, Chi-Bien Chu, Khanh-Duy Le, Tam V. Nguyen, Minh-Triet Tran, Trung-Nghia Le
The system successfully captures the essence of users' descriptions while providing flexibility for customization.
no code implementations • 15 Apr 2023 • Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen
In this paper, we address the problem of few-shot learning for camouflaged object detection and segmentation.
1 code implementation • 15 Apr 2023 • Anh-Khoa Nguyen Vu, Thanh-Toan Do, Nhat-Duy Nguyen, Vinh-Tiep Nguyen, Thanh Duc Ngo, Tam V. Nguyen
In this paper, we exploit the hierarchical information to leverage discriminative and relevant features of base classes to effectively classify novel objects.
no code implementations • 12 Apr 2023 • Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Trong-Hieu Nguyen-Mau, Tuan-Luc Huynh, Thanh-Danh Le, Ngoc-Linh Nguyen-Ha, Tuong-Vy Truong-Thuy, Truong Hoai Phong, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, Hoai-Danh Vo, Minh-Hoa Doan, Hai-Dang Nguyen, Akihiro Sugimoto, Minh-Triet Tran
To this end, we introduce a novel SHREC challenge track that focuses on retrieving relevant 3D animal models from a dataset using sketch queries and expedites accessing 3D models through available sketches.
no code implementations • 12 Apr 2023 • Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, E-Ro Nguyen, Minh-Khoi Nguyen-Nhat, Tuan-An To, Trung-Truc Huynh-Le, Nham-Tan Nguyen, Hoang-Chau Luong, Truong Hoai Phong, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Hai-Dang Nguyen, Akihiro Sugimoto, Minh-Triet Tran
Unlike previous SHREC challenge tracks, the proposed task is considerably more challenging, requiring participants to develop innovative approaches to tackle the problem of text-based retrieval.
1 code implementation • 9 Mar 2023 • Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran
To overcome the disadvantage of the point estimation mechanism, we propose a novel approach, dubbed MaskDiff, which models the underlying conditional distribution of a binary mask, which is conditioned on an object region and $K-$shot information.
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.
1 code implementation • 12 Dec 2021 • Minh-Quan Le, Trung-Nghia Le, Tam V. Nguyen, Isao Echizen, Minh-Triet Tran
The dataset is available at https://doi. org/10. 5281/zenodo. 8208877 .
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.
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 #8 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, Luoqi Liu
The female facial image beautification usually requires professional editing softwares, which are relatively difficult for common users.
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 • 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.