no code implementations • 10 Apr 2024 • Runfa Li, Upal Mahbub, Vasudev Bhaskaran, Truong Nguyen
MonoSelfRecon is not restricted by specific model design, which can be used to any models with voxel-SDF for purely self-supervised manner.
no code implementations • 7 Apr 2024 • Shiwei Jin, Zhen Wang, Lei Wang, Peng Liu, Ning Bi, Truong Nguyen
Our experiments demonstrate AUEditNet's superior accuracy in editing AU intensities, affirming its capability in disentangling facial attributes and identity within a limited subject pool.
no code implementations • CVPR 2023 • Shiwei Jin, Zhen Wang, Lei Wang, Ning Bi, Truong Nguyen
Then both the initial and edited embeddings are projected back (deprojected) to the initial latent space as residuals to modify the input latent vectors by subtraction and addition, representing old status removal and new status addition.
1 code implementation • 15 Dec 2022 • Jianzhi Long, Jicang Cai, Abdullah Al-Battal, Shiwei Jin, Jing Zhang, DaCheng Tao, Truong Nguyen
Ultrasound is progressing toward becoming an affordable and versatile solution to medical imaging.
no code implementations • 5 Nov 2022 • Cam Le, Lam Pham, Nghia NVN, Truong Nguyen, Le Hong Trang
In this paper, we present a robust and low complexity deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the scene of a remote sensing image.
no code implementations • 24 Nov 2021 • Runfa Li, Truong Nguyen
In 3D Detection module, the depth estimation is projected into 3D space to generate "Pseudo-LiDAR" point cloud, where LiDAR-based 3D detector can be leveraged on point cloud for vehicular 3D detection and localization.
1 code implementation • 24 Nov 2021 • Runfa Li, Truong Nguyen
Our real-scale scene flow estimation outperforms all state-of-the-art monocular-image based works recovered to real scale by ground truth, and is comparable to LiDAR approaches.
no code implementations • 26 Dec 2020 • Dat Ngo, Lam Pham, Anh Nguyen, Ben Phan, Khoa Tran, Truong Nguyen
This paper proposes a robust deep learning framework used for classifying anomaly of respiratory cycles.
no code implementations • 26 Sep 2020 • Truong Nguyen, Guangye Chen, Luis Chacon
We propose an Anderson Acceleration (AA) scheme for the adaptive Expectation-Maximization (EM) algorithm for unsupervised learning a finite mixture model from multivariate data (Figueiredo and Jain 2002).
1 code implementation • 28 Jun 2018 • Chen Du, Byeongkeun Kang, Zheng Xu, Ji Dai, Truong Nguyen
To overcome these problems, we propose a novel method consisting of segmentation using convolutional neural networks and a fast/robust recovery algorithm.
no code implementations • 16 May 2017 • Subarna Tripathi, Gokce Dane, Byeongkeun Kang, Vasudev Bhaskaran, Truong Nguyen
Thus the consolidation of a CNN-based object detection for an embedded system is more challenging.
no code implementations • 15 Jul 2016 • Subarna Tripathi, Zachary C. Lipton, Serge Belongie, Truong Nguyen
Then we train a recurrent neural network that takes as input sequences of pseudo-labeled frames and optimizes an objective that encourages both accuracy on the target frame and consistency across consecutive frames.
no code implementations • 20 Jan 2016 • Subarna Tripathi, Serge Belongie, Youngbae Hwang, Truong Nguyen
We further propose a clustering of VOPs which can efficiently be used for detecting objects in video in a streaming fashion.
1 code implementation • 4 Sep 2015 • Subarna Tripathi, Serge Belongie, Youngbae Hwang, Truong Nguyen
We explore the efficiency of the CRF inference beyond image level semantic segmentation and perform joint inference in video frames.
no code implementations • 1 Jul 2015 • Subarna Tripathi, Serge Belongie, Truong Nguyen
We explore the efficiency of the CRF inference module beyond image level semantic segmentation.
no code implementations • 14 Feb 2014 • Subarna Tripathi, Youngbae Hwang, Serge Belongie, Truong Nguyen
Despite recent advances in video segmentation, many opportunities remain to improve it using a variety of low and mid-level visual cues.