no code implementations • 4 Apr 2025 • Gia-Nghia Tran, Quang-Huy Che, Trong-Tai Dam Vu, Bich-Nga Pham, Vinh-Tiep Nguyen, Trung-Nghia Le, Minh-Triet Tran
By fine-tuning specific modules at the same time, FaR balances the learning of new concepts with the retention of previously learned knowledge.
no code implementations • 26 Jul 2024 • Shuhan Cui, Huy H. Nguyen, Trung-Nghia Le, Chun-Shien Lu, Isao Echizen
This paper makes two main contributions: (1) We introduce a new task, "image-based automated fact verification," and present a novel two-phase open framework combining "forgery identification" and "fact retrieval."
1 code implementation • 6 Apr 2024 • Hai-Dang Huynh-Lam, Ngoc-Phuong Ho-Thi, Minh-Triet Tran, Trung-Nghia Le
In this paper, we present TAC-SUM, a novel and efficient training-free approach for video summarization that addresses the limitations of existing cluster-based models by incorporating temporal context.
Ranked #1 on
Unsupervised Video Summarization
on SumMe
1 code implementation • 6 Apr 2024 • Hai-Dang Huynh-Lam, Ngoc-Phuong Ho-Thi, Minh-Triet Tran, Trung-Nghia Le
Despite the importance of video summarization, there is a lack of diverse and representative datasets, hindering comprehensive evaluation and benchmarking of algorithms.
no code implementations • 1 Apr 2024 • Hieu Nguyen, Cong-Hoang Ta, Phuong-Thuy Le-Nguyen, Minh-Triet Tran, Trung-Nghia Le
This paper presents a simple yet efficient ensemble learning framework for Vietnamese scene text spotting.
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.
1 code implementation • 12 Dec 2023 • Gia-Bao Le, Van-Tien Nguyen, Trung-Nghia Le, Minh-Triet Tran
In addressing the demands of this critical task, self-supervised learning (SSL) methods have emerged as a valuable resource, leveraging their efficiency in circumventing the need for a large number of annotations, which can be both costly and time-consuming to deploy supervised methods.
1 code implementation • 12 Dec 2023 • Quoc-Bao Ninh, Hai-Chan Nguyen, Triet Huynh, Trung-Nghia Le
Experimental results on EMOTIC dataset, which contains large-scale images of people in unconstrained situations labeled with 26 discrete categories of emotions and VAD values, show that our proposed method significantly outperforms state-of-the-art methods with 28. 4% in mAP and 0. 93 in MAE.
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.
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 • 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.
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.
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 • 1 Dec 2022 • Tuan-Luc Huynh, Khoi-Nguyen Nguyen-Ngoc, Chi-Bien Chu, Minh-Triet Tran, Trung-Nghia Le
To bridge this language barrier, we propose a novel multilingual communication system, namely MUGCAT, to improve the communication efficiency of sign language users.
no code implementations • 18 Oct 2022 • Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi, Isao Echizen
The results raise the alarm about the robustness of such systems and suggest that master vein attacks should be considered an important security measure.
no code implementations • 28 Jun 2022 • Trung-Nghia Le, Ta Gu, Huy H. Nguyen, Isao Echizen
We have investigated a new application of adversarial examples, namely location privacy protection against landmark recognition systems.
no code implementations • 13 Feb 2022 • Trung-Nghia Le, Huy H Nguyen, Junichi Yamagishi, Isao Echizen
Recent advances in deep learning have led to substantial improvements in deepfake generation, resulting in fake media with a more realistic appearance.
no code implementations • 29 Dec 2021 • Futa Waseda, Sosuke Nishikawa, Trung-Nghia Le, Huy H. Nguyen, Isao Echizen
Deep neural networks are vulnerable to adversarial examples (AEs), which have adversarial transferability: AEs generated for the source model can mislead another (target) model's predictions.
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 • 25 Nov 2021 • Khanh-Duy Nguyen, Huy H. Nguyen, Trung-Nghia Le, Junichi Yamagishi, Isao Echizen
However, there is still a lack of comprehensive research on both methodologies and datasets.
no code implementations • ICCV 2021 • Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
To promote these new tasks, we have created the first large-scale dataset posing a high level of challenges that is designed with face-wise rich annotations explicitly for face forgery detection and segmentation, namely OpenForensics.
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.
1 code implementation • 17 Apr 2021 • Marc Treu, Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
It generates adversarial textures learned from fashion style images and then overlays them on the clothing regions in the original image to make all persons in the image invisible to person segmentation networks.
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 • 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 #9 on
Camouflaged Object Segmentation
on CAMO
no code implementations • 4 Jul 2018 • Trung-Nghia Le, Akihiro Sugimoto
In addition, to tackle the task of VSSIS, we augment the DAVIS-2017 benchmark dataset by assigning semantic ground-truth for salient instance labels, obtaining SEmantic Salient Instance Video (SESIV) dataset.
no code implementations • 4 Aug 2017 • Trung-Nghia Le, Akihiro Sugimoto
Detecting salient objects from a video requires exploiting both spatial and temporal knowledge included in the video.
no code implementations • 4 Aug 2017 • Trung-Nghia Le, Akihiro Sugimoto
STCRF is our extension of CRF to the temporal domain and describes the relationships among neighboring regions both in a frame and over frames.