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 • 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.
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 • 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.
Ranked #9 on
Camouflaged Object Segmentation
on CAMO
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 #3 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
STCRF is our extension of CRF to the temporal domain and describes the relationships among neighboring regions both in a frame and over frames.
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.