Search Results for author: Trung-Nghia Le

Found 17 papers, 2 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

Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages

no code implementations1 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.

Semantic Similarity Semantic Textual Similarity

Analysis of Master Vein Attacks on Finger Vein Recognition Systems

no code implementations18 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.

Finger Vein Recognition

Rethinking Adversarial Examples for Location Privacy Protection

no code implementations28 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.

Image Manipulation Landmark Recognition

Robust Deepfake On Unrestricted Media: Generation And Detection

no code implementations13 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.

DeepFake Detection Face Swapping

Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently

no code implementations29 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.

OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild

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.

Face Detection Face Swapping

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

Fashion-Guided Adversarial Attack on Person Segmentation

1 code implementation17 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.

Adversarial Attack Human Instance Segmentation +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

Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation

no code implementations4 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.

Instance Segmentation Robot Navigation +2

Video Salient Object Detection Using Spatiotemporal Deep Features

no code implementations4 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.

object-detection Salient Object Detection +3

Region-Based Multiscale Spatiotemporal Saliency for Video

no code implementations4 Aug 2017 Trung-Nghia Le, Akihiro Sugimoto

Detecting salient objects from a video requires exploiting both spatial and temporal knowledge included in the video.

Saliency Detection

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