20 citations · 20 across the 17 of their papers we have counts for
20 papers
FlashControl: One-Step Controllable Generator via Distillation-Friendly Single-Stream Teachers
Ngan Nguyen, Dung Nguyen, Quan Dao +4
Diffusion models have become a leading approach in visual generative modeling, particularly effective in text-to-image and controllable generation. Their main drawback is slow infe…
Back-Tracking from Clarity: Self-Learning to See Text from Afar
Duc-Tri Tran, Phi Le Nguyen, Minh Hoai
We propose a self-supervised framework designed to enhance the capability of scene text detectors in identifying and recognizing text in scenarios where instances are shown at sign…
SwiftPie: Lightning-fast Subject-driven Image Personalization via One step Diffusion
Huy Duong, Trong-Tung Nguyen, Cuong Pham +3
Diffusion models have achieved remarkable success in high-quality image synthesis, sparking interest in image-guided generation tasks such as subject-driven image personalization.…
Dual Strategies for Test-Time Adaptation
Nam Nguyen Phuong, Duc Nguyen The Minh, Phi Le Nguyen +2
Conventional test-time adaptation (TTA) approaches typically adapt the model using only a small fraction of test samples, often those with low-entropy predictions, thereby failing…
Detecting Precise Hand Touch Moments in Egocentric Video
Huy Anh Nguyen, Feras Dayoub, Minh Hoai
We address the challenging task of detecting the precise moment when hands make contact with objects in egocentric videos. This frame-level detection is crucial for augmented reali…
BluRef: Unsupervised Image Deblurring with Dense-Matching References
Bang-Dang Pham, Anh Tran, Cuong Pham +1
This paper introduces a novel unsupervised approach for image deblurring that utilizes a simple process for training data collection, thereby enhancing the applicability and effect…
CountEx: Fine-Grained Counting via Exemplars and Exclusion
Yifeng Huang, Gia Khanh Nguyen, Minh Hoai
This paper presents CountEx, a discriminative visual counting framework designed to address a key limitation of existing prompt-based methods: the inability to explicitly exclude v…
MoBind: Motion Binding for Fine-Grained IMU-Video Pose Alignment
Duc Duy Nguyen, Tat-Jun Chin, Minh Hoai
We aim to learn a joint representation between inertial measurement unit (IMU) signals and 2D pose sequences extracted from video, enabling accurate cross-modal retrieval, temporal…
Can Current AI Models Count What We Mean, Not What They See? A Benchmark and Systematic Evaluation
Gia Khanh Nguyen, Yifeng Huang, Minh Hoai
Visual counting is a fundamental yet challenging task, especially when users need to count objects of a specific type in complex scenes. While recent models, including class-agnost…
DualMat: PBR Material Estimation via Coherent Dual-Path Diffusion
Yifeng Huang, Zhang Chen, Yi Xu +2
We present DualMat, a novel dual-path diffusion framework for estimating Physically Based Rendering (PBR) materials from single images under complex lighting conditions. Our approa…
Detecting Omissions in Geographic Maps through Computer Vision
Phuc D. A. Nguyen, Anh Do, Minh Hoai
This paper explores the application of computer vision technologies to the analysis of maps, an area with substantial historical, cultural, and political significance. Our focus is…
HOIST-Former: Hand-held Objects Identification, Segmentation, and Tracking in the Wild
Supreeth Narasimhaswamy, Huy Anh Nguyen, Lihan Huang +1
We address the challenging task of identifying, segmenting, and tracking hand-held objects, which is crucial for applications such as human action segmentation and performance eval…
Driver Attention Tracking and Analysis
Dat Viet Thanh Nguyen, Anh Tran, Hoai Nam Vu +2
We propose a novel method to estimate a driver's points-of-gaze using a pair of ordinary cameras mounted on the windshield and dashboard of a car. This is a challenging problem due…
Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
Bang-Dang Pham, Phong Tran, Anh Tran +3
This paper presents an innovative framework designed to train an image deblurring algorithm tailored to a specific camera device. This algorithm works by transforming a blurry inpu…
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen +3
Text-to-image generative models can generate high-quality humans, but realism is lost when generating hands. Common artifacts include irregular hand poses, shapes, incorrect number…
Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild
Yifeng Huang, Duc Duy Nguyen, Lam Nguyen +2
This paper addresses the task of counting human actions of interest using sensor data from wearable devices. We propose a novel exemplar-based framework, allowing users to provide…
HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering
Bang-Dang Pham, Phong Tran, Anh Tran +3
We consider the challenging task of training models for image-to-video deblurring, which aims to recover a sequence of sharp images corresponding to a given blurry image input. A c…
Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation
Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai +1
Anticipating future actions in a video is useful for many autonomous and assistive technologies. Most prior action anticipation work treat this as a vision modality problem, where…
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images
Long-Nhat Ho, Anh Tuan Tran, Quynh Phung +1
Recovering the 3D structure of an object from a single image is a challenging task due to its ill-posed nature. One approach is to utilize the plentiful photos of the same object c…
Knowledge Distillation for Human Action Anticipation
Vinh Tran, Yang Wang, Minh Hoai
We consider the task of training a neural network to anticipate human actions in video. This task is challenging given the complexity of video data, the stochastic nature of the fu…