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.
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 • 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 • 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 • 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 • 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.
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
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 • 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 • 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.
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.
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)
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.
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 • 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.
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 • 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 • 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 • 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 • 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.
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.