activity
20162024
most citedFew-shot Object Counting and Detection

3 citations · 4 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2024

Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following

Qiaomu Miao, Alexandros Graikos, Jingwei Zhang +3

Training gaze following models requires a large number of images with gaze target coordinates annotated by human annotators, which is a laborious and inherently ambiguous process.…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2023

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…