no code implementations • CVPR 2015 • Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui
The "interpretation through synthesis", i. e.
no code implementations • CVPR 2016 • Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui
The Temporal Deep Restricted Boltzmann Machines based age progression model together with the prototype faces are then constructed to learn the aging transformation between faces in the sequence.
no code implementations • 17 Jun 2016 • Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
Robust face detection in the wild is one of the ultimate components to support various facial related problems, i. e. unconstrained face recognition, facial periocular recognition, facial landmarking and pose estimation, facial expression recognition, 3D facial model construction, etc.
Ranked #30 on Face Detection on WIDER Face (Medium)
no code implementations • 3 Jul 2016 • Kha Gia Quach, Chi Nhan Duong, Khoa Luu, Tien D. Bui
In this approach, two crucial components of face images, i. e. shape and texture, are represented by Deep Boltzmann Machines and Robust Deep Boltzmann Machines (RDBM), respectively.
no code implementations • 23 Jul 2016 • Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui
This paper presents a novel Deep Appearance Models (DAMs) approach, an efficient replacement for AAMs, to accurately capture both shape and texture of face images under large variations.
no code implementations • 16 Dec 2016 • Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides
Robust face detection is one of the most important pre-processing steps to support facial expression analysis, facial landmarking, face recognition, pose estimation, building of 3D facial models, etc.
no code implementations • ICCV 2017 • Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides
Modeling the long-term facial aging process is extremely challenging due to the presence of large and non-linear variations during the face development stages.
no code implementations • 12 Apr 2017 • T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Marios Savvides, Dipan Pal
Designed as extremely deep architectures, deep residual networks which provide a rich visual representation and offer robust convergence behaviors have recently achieved exceptional performance in numerous computer vision problems.
1 code implementation • 12 Apr 2017 • Ngan Le, Kha Gia Quach, Khoa Luu, Marios Savvides, Chenchen Zhu
To address these issues and boost the classic variational LS methods to a new level of the learnable deep learning approaches, we propose a novel definition of contour evolution named Recurrent Level Set (RLS)} to employ Gated Recurrent Unit under the energy minimization of a variational LS functional.
no code implementations • ICCV 2017 • Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu, Marios Savvides
We present our novel approach to simultaneously extract the 3D shape of the face and the semantically consistent 2D alignment through a 3D Spatial Transformer Network (3DSTN) to model both the camera projection matrix and the warping parameters of a 3D model.
Ranked #10 on Face Alignment on AFLW2000-3D
no code implementations • 28 Nov 2017 • Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides, Tien D. Bui
The proposed model is experimented in both tasks of face aging synthesis and cross-age face verification.
no code implementations • 23 Feb 2018 • Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Tien D. Bui
Face Aging has raised considerable attentions and interest from the computer vision community in recent years.
no code implementations • CVPR 2018 • Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides
This paper introduces a novel anchor design to support anchor-based face detection for superior scale-invariant performance, especially on tiny faces.
no code implementations • CVPR 2019 • Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Nghia Nguyen, Eric Patterson, Tien D. Bui, Ngan Le
This paper presents a novel approach to synthesize automatically age-progressed facial images in video sequences using Deep Reinforcement Learning.
no code implementations • 27 Nov 2018 • Chi Nhan Duong, Kha Gia Quach, Ibsa Jalata, Ngan Le, Khoa Luu
Deep neural networks have been widely used in numerous computer vision applications, particularly in face recognition.
no code implementations • 28 Nov 2018 • Kha Gia Quach, Ngan Le, Chi Nhan Duong, Ibsa Jalata, Kaushik Roy, Khoa Luu
To demonstrate the robustness and effectiveness of each component in the proposed approach, three experiments were conducted: (i) evaluation on AffectNet database to benchmark the proposed EmoNet for recognizing facial expression; (ii) evaluation on EmotiW2018 to benchmark the proposed deep feature level fusion mechanism NVPF; and, (iii) examine the proposed TNVPF on an innovative Group-level Emotion on Crowd Videos (GECV) dataset composed of 627 videos collected from publicly available sources.
no code implementations • 9 Dec 2018 • Thanh-Dat Truong, Chi Nhan Duong, Khoa Luu, Minh-Triet Tran, Minh Do
However, it has been largely overlooked in the problem of recognition in new unseen domains.
3 code implementations • 28 Dec 2018 • Aditya Dendukuri, Khoa Luu
Quantum Image Processing (QIP)is an exciting new field showing a lot of promise as a powerful addition to the arsenal of Image Processing techniques.
no code implementations • 24 May 2019 • Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong, Ngan Le, Minh-Triet Tran
The experiments on CIFAR-10, ImageNet and Celeb-HQ datasets, have shown that our invertible $n \times n$ convolution helps to improve the performance of generative models significantly.
2 code implementations • 25 May 2019 • Chi Nhan Duong, Khoa Luu, Kha Gia Quach, Ngan Le
In addition, this work introduces a novel Angular Distillation Loss for distilling the feature direction and the sample distributions of the teacher's hypersphere to its student.
no code implementations • 27 May 2019 • Aditya Dendukuri, Blake Keeling, Arash Fereidouni, Joshua Burbridge, Khoa Luu, Hugh Churchill
This work presents a novel fundamental algorithm for for defining and training Neural Networks in Quantum Information based on time evolution and the Hamiltonian.
no code implementations • 28 May 2019 • Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong, Ngan Le, Minh-Triet Tran
This paper presents a novel deep learning based approach to tackle the problem of across unseen modalities.
no code implementations • 28 May 2019 • Thanh-Dat Truong, Chi Nhan Duong, Khoa Luu, Minh-Triet Tran, Ngan Le
However, it has been largely overlooked in the problem of recognition in new unseen domains.
no code implementations • CVPR 2020 • Chi Nhan Duong, Thanh-Dat Truong, Kha Gia Quach, Hung Bui, Kaushik Roy, Khoa Luu
Unveiling face images of a subject given his/her high-level representations extracted from a blackbox Face Recognition engine is extremely challenging.
no code implementations • 9 Apr 2020 • Thanh-Dat Truong, Chi Nhan Duong, Kha Gia Quach, Ngan Le, Tien D. Bui, Khoa Luu
This work presents a novel Lightweight Attentive Angular Distillation (LIAAD) approach to Large-scale Lightweight AiFR that overcomes these limitations.
no code implementations • 3 Dec 2020 • Toan Duc Bui, Manh Nguyen, Ngan Le, Khoa Luu
To capture temporal structures in the medical images, we explore the displacement between the consecutive slices using a deformation field.
Generative Adversarial Network Image-to-Image Translation +1
no code implementations • 4 Dec 2020 • Ngan Le, Trung Le, Kashu Yamazaki, Toan Duc Bui, Khoa Luu, Marios Savides
Our proposed Offset Curves (OsC) loss consists of three main fitting terms.
no code implementations • 5 Mar 2021 • S. Kevin Zhou, Hoang Ngan Le, Khoa Luu, Hien V. Nguyen, Nicholas Ayache
Deep reinforcement learning (DRL) augments the reinforcement learning framework, which learns a sequence of actions that maximizes the expected reward, with the representative power of deep neural networks.
1 code implementation • CVPR 2021 • Chuong Huynh, Anh Tran, Khoa Luu, Minh Hoai
In this work, we present MagNet, a multi-scale framework that resolves local ambiguity by looking at the image at multiple magnification levels.
Ranked #3 on Land Cover Classification on DeepGlobe
1 code implementation • CVPR 2021 • Kha Gia Quach, Pha Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu
Multi-Camera Multiple Object Tracking (MC-MOT) is a significant computer vision problem due to its emerging applicability in several real-world applications.
1 code implementation • CVPR 2021 • Xuan-Bac Nguyen, Duc Toan Bui, Chi Nhan Duong, Tien D. Bui, Khoa Luu
This work therefore presents the Clusformer, a simple but new perspective of Transformer based approach, to automatic visual clustering via its unsupervised attention mechanism.
1 code implementation • ICCV 2021 • Thanh-Dat Truong, Chi Nhan Duong, The De Vu, Hoang Anh Pham, Bhiksha Raj, Ngan Le, Khoa Luu
Therefore, this work introduces a new Audio-Visual Transformer approach to the problem of localization and highlighting the main speaker in both audio and visual channels of a multi-speaker conversation video in the wild.
1 code implementation • ICCV 2021 • Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Son Lam Phung, Chase Rainwater, Khoa Luu
Semantic segmentation aims to predict pixel-level labels.
no code implementations • 25 Aug 2021 • Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides
In this work, we provide a detailed review of recent and state-of-the-art research advances of deep reinforcement learning in computer vision.
no code implementations • 16 Mar 2022 • Minh Tran, Viet-Khoa Vo-Ho, Kyle Quinn, Hien Nguyen, Khoa Luu, Ngan Le
We then provide recent developments of CapsNet for the task of medical image segmentation.
1 code implementation • CVPR 2022 • Thanh-Dat Truong, Quoc-Huy Bui, Chi Nhan Duong, Han-Seok Seo, Son Lam Phung, Xin Li, Khoa Luu
Various 3D-CNN based methods have been presented to tackle both the spatial and temporal dimensions in the task of video action recognition with competitive results.
Ranked #1 on Action Recognition on Jester (Gesture Recognition)
no code implementations • 19 Apr 2022 • Pha Nguyen, Kha Gia Quach, Chi Nhan Duong, Ngan Le, Xuan-Bac Nguyen, Khoa Luu
The experimental results on the nuScenes dataset demonstrate the benefits of the proposed method to produce SOTA performance on the existing vision-based tracking dataset.
no code implementations • 22 May 2022 • Thanh-Dat Truong, Naga Venkata Sai Raviteja Chappa, Xuan Bac Nguyen, Ngan Le, Ashley Dowling, Khoa Luu
Unsupervised domain adaptation is one of the challenging problems in computer vision.
no code implementations • 31 May 2022 • Xuan Bac Nguyen, Apoorva Bisht, Ben Thompson, Hugh Churchill, Khoa Luu, Samee U. Khan
In this work, we present a novel method to tackle the problem of missing annotation in instance segmentation in 2D quantum material identification.
no code implementations • 7 Jun 2022 • Pha Nguyen, Thanh-Dat Truong, Miaoqing Huang, Yi Liang, Ngan Le, Khoa Luu
Self-training crowd counting has not been attentively explored though it is one of the important challenges in computer vision.
1 code implementation • 26 Jun 2022 • Kashu Yamazaki, Sang Truong, Khoa Vo, Michael Kidd, Chase Rainwater, Khoa Luu, Ngan Le
In this paper, we leverage the human perceiving process, that involves vision and language interaction, to generate a coherent paragraph description of untrimmed videos.
Ranked #3 on Video Captioning on ActivityNet Captions
no code implementations • 10 Jul 2022 • Kha Gia Quach, Huu Le, Pha Nguyen, Chi Nhan Duong, Tien Dai Bui, Khoa Luu
This paper aims to tackle Multiple Object Tracking (MOT), an important problem in computer vision but remains challenging due to many practical issues, especially occlusions.
no code implementations • 11 Sep 2022 • Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Marios Savvides, Khoa Luu
We therefore introduce a new method named Attention-based Bijective Generative Adversarial Networks in a Distillation framework (DAB-GAN) to synthesize faces of a subject given his/her extracted face recognition features.
no code implementations • 17 Nov 2022 • Pha Nguyen, Kha Gia Quach, Chi Nhan Duong, Son Lam Phung, Ngan Le, Khoa Luu
The development of autonomous vehicles generates a tremendous demand for a low-cost solution with a complete set of camera sensors capturing the environment around the car.
no code implementations • 1 Dec 2022 • Thanh-Dat Truong, Pierce Helton, Ahmed Moustafa, Jackson David Cothren, Khoa Luu
Also, the previous data training of segmentation models may be inaccessible due to privacy problems.
no code implementations • 6 Dec 2022 • Manuel Serna-Aguilera, Khoa Luu, Nathaniel Harris, Min Zou
This problem presents several challenges as it can be difficult to grow and maintain the culture for days, and it is expensive to acquire the materials and equipment.
1 code implementation • 12 Dec 2022 • Khoa Vo, Kashu Yamazaki, Phong X. Nguyen, Phat Nguyen, Khoa Luu, Ngan Le
We choose video paragraph captioning and temporal action detection to illustrate the effectiveness of human perception based-contextual representation in video understanding.
1 code implementation • 6 Mar 2023 • Naga VS Raviteja Chappa, Pha Nguyen, Alexander H Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, Khoa Luu
In this paper, we propose a new, simple, and effective Self-supervised Spatio-temporal Transformers (SPARTAN) approach to Group Activity Recognition (GAR) using unlabeled video data.
1 code implementation • CVPR 2023 • Thanh-Dat Truong, Ngan Le, Bhiksha Raj, Jackson Cothren, Khoa Luu
Although Domain Adaptation in Semantic Scene Segmentation has shown impressive improvement in recent years, the fairness concerns in the domain adaptation have yet to be well defined and addressed.
Ranked #5 on Domain Adaptation on SYNTHIA-to-Cityscapes
1 code implementation • CVPR 2023 • Xuan-Bac Nguyen, Chi Nhan Duong, Xin Li, Susan Gauch, Han-Seok Seo, Khoa Luu
By incorporating these components into an end-to-end deep network, the proposed $\mu$-BERT significantly outperforms all previous work in various micro-expression tasks.
Ranked #1 on Micro Expression Recognition on SMIC
Micro Expression Recognition Micro-Expression Recognition +1
no code implementations • 14 Apr 2023 • Thanh-Dat Truong, Chi Nhan Duong, Ashley Dowling, Son Lam Phung, Jackson Cothren, Khoa Luu
First, a novel geometry-based constraint to cross-view adaptation is introduced based on the geometry correlation between views.
no code implementations • 14 Apr 2023 • Xuan-Bac Nguyen, Chi Nhan Duong, Marios Savvides, Kaushik Roy, Hugh Churchill, Khoa Luu
Promoting fairness for deep clustering models in unsupervised clustering settings to reduce demographic bias is a challenging goal.
no code implementations • 14 Apr 2023 • Thanh-Dat Truong, Chi Nhan Duong, Pierce Helton, Ashley Dowling, Xin Li, Khoa Luu
They are insufficient to model both global and local structures of a given image, especially in small regions of tail classes.
no code implementations • 27 Apr 2023 • Naga VS Raviteja Chappa, Pha Nguyen, Alexander H Nelson, Han-Seok Seo, Xin Li, Page Daniel Dobbs, Khoa Luu
This paper introduces a novel approach to Social Group Activity Recognition (SoGAR) using Self-supervised Transformers network that can effectively utilize unlabeled video data.
no code implementations • NeurIPS 2023 • Pha Nguyen, Kha Gia Quach, Kris Kitani, Khoa Luu
This paper introduces a novel paradigm for Multiple Object Tracking called Type-to-Track, which allows users to track objects in videos by typing natural language descriptions.
Grounded Multiple Object Tracking Multiple Object Tracking +1
no code implementations • 25 May 2023 • Thanh-Dat Truong, Khoa Luu
Then, we propose a new cross-view self-attention loss learned on unpaired cross-view data to enforce the self-attention mechanism learning to transfer knowledge across views.
no code implementations • 28 May 2023 • Kim Hoang Tran, Anh Duy Le Dinh, Tien Phat Nguyen, Thinh Phan, Pha Nguyen, Khoa Luu, Donald Adjeroh, Gianfranco Doretto, Ngan Hoang Le
Our contributions are benchmarked through extensive experiments conducted on the Referring GMOT dataset for GMOT task.
no code implementations • 16 Jun 2023 • Pha Nguyen, Kha Gia Quach, John Gauch, Samee U. Khan, Bhiksha Raj, Khoa Luu
Then, a new cross-domain MOT adaptation from existing datasets is proposed without any pre-defined human knowledge in understanding and modeling objects.
1 code implementation • 1 Aug 2023 • Xuan-Bac Nguyen, Xudong Liu, Xin Li, Khoa Luu
The goal is to predict brain responses across the entire visual brain, as it is the region where the most reliable responses to images have been observed.
no code implementations • 18 Sep 2023 • Xuan Bac Nguyen, Hugh Churchill, Khoa Luu, Samee U. Khan
Unsupervised visual clustering has garnered significant attention in recent times, aiming to characterize distributions of unlabeled visual images through clustering based on a parameterized appearance approach.
no code implementations • 26 Nov 2023 • Hoang-Quan Nguyen, Thanh-Dat Truong, Xuan Bac Nguyen, Ashley Dowling, Xin Li, Khoa Luu
In precision agriculture, the detection and recognition of insects play an essential role in the ability of crops to grow healthy and produce a high-quality yield.
no code implementations • 27 Nov 2023 • Thanh-Dat Truong, Utsav Prabhu, Bhiksha Raj, Jackson Cothren, Khoa Luu
In particular, we first introduce a new Fairness Contrastive Clustering loss to address the problems of catastrophic forgetting and fairness.
no code implementations • 27 Nov 2023 • Naga VS Raviteja Chappa, Pha Nguyen, Page Daniel Dobbs, Khoa Luu
Group Activity Recognition (GAR) is a fundamental problem in computer vision, with diverse applications in sports video analysis, video surveillance, and social scene understanding.
no code implementations • 28 Nov 2023 • Naga VS Raviteja Chappa, Pha Nguyen, Thi Hoang Ngan Le, Khoa Luu
Flow-Attention incorporates flow conservation principles, fostering competition for sources and allocation for sinks, effectively preventing the generation of trivial attention.
no code implementations • 30 Nov 2023 • Xuan-Bac Nguyen, Xin Li, Samee U. Khan, Khoa Luu
In this work, we first present a simple yet effective Brainformer approach, a novel Transformer-based framework, to analyze the patterns of fMRI in the human perception system from the machine learning perspective.
no code implementations • 5 Dec 2023 • Trong-Thuan Nguyen, Pha Nguyen, Khoa Luu
In this paper, we delve into interactivities understanding within visual content by deriving scene graph representations from dense interactivities among humans and objects.
no code implementations • 2 May 2024 • Hoang-Quan Nguyen, Thanh-Dat Truong, Khoa Luu
Thirdly, we built an action recognition model based on Video Transformers and Neural Radiance Fields.