912 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nanjing UniversityCN78 papers
- Centre National de la Recherche ScientifiqueFR49 papers
- Pennsylvania State UniversityUS48 papers
- Xi'an Jiaotong UniversityCN43 papers
- Center for Astrophysics Harvard & SmithsonianUS41 papers
- National Laboratory of Solid State Microstructures39 papers
- Argonne National LaboratoryUS38 papers
- Goddard Space Flight CenterUS38 papers
- Johns Hopkins UniversityUS31 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN29 papers
- Université Paris-SaclayFR28 papers
- Tel Aviv UniversityIL26 papers
25 papers · 1 filter
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
Yihong Feng, Chaitanya Pallerla, Xiaomin Lin +5
The poultry industry has been driven by broiler chicken production and has grown into the world's largest animal protein sector. Automated detection of chicken carcasses on process…
A Shape-Aware Total Body Photography System for In-focus Surface Coverage Optimization
Wei-Lun Huang, Joshua Liu, Davood Tashayyod +4
Total Body Photography (TBP) is becoming a useful screening tool for patients at high risk for skin cancer. While much progress has been made, existing TBP systems can be further i…
MEX: Memory-efficient Approach to Referring Multi-Object Tracking
Huu-Thien Tran, Phuoc-Sang Pham, Thai-Son Tran +1
Referring Multi-Object Tracking (RMOT) is a relatively new concept that has rapidly gained traction as a promising research direction at the intersection of computer vision and nat…
Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
Chaitanya Pallerla, Yihong Feng, Casey M. Owens +5
Due to intensive genetic selection for rapid growth rates and high broiler yields in recent years, the global poultry industry has faced a challenging problem in the form of woody…
WAVER: Writing-style Agnostic Text-Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary Knowledge
Huy Le, Tung Kieu, Anh Nguyen +1
Text-video retrieval, a prominent sub-field within the domain of multimodal information retrieval, has witnessed remarkable growth in recent years. However, existing methods assume…
Traffic Cameras to detect inland waterway barge traffic: An Application of machine learning
Geoffery Agorku, Sarah Hernandez PhD, Maria Falquez +2
Inland waterways are critical for freight movement, but limited means exist for monitoring their performance and usage by freight-carrying vessels, e.g., barges. While methods to t…
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos
Naga VS Raviteja Chappa, Pha Nguyen, Thi Hoang Ngan Le +1
Group Activity Scene Graph (GASG) generation is a challenging task in computer vision, aiming to anticipate and describe relationships between subjects and objects in video sequenc…
REACT: Recognize Every Action Everywhere All At Once
Naga VS Raviteja Chappa, Pha Nguyen, Page Daniel Dobbs +1
Group Activity Recognition (GAR) is a fundamental problem in computer vision, with diverse applications in sports video analysis, video surveillance, and social scene understanding…
Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross-Domain Classification
Firas Al-Hindawi, Md Mahfuzur Rahman Siddiquee, Teresa Wu +2
The ability to classify images is dependent on having access to large labeled datasets and testing on data from the same domain that the model can train on. Classification becomes…
A Framework for Generalizing Critical Heat Flux Detection Models Using Unsupervised Image-to-Image Translation
Firas Al-Hindawi, Tejaswi Soori, Han Hu +4
The detection of critical heat flux (CHF) is crucial in heat boiling applications as failure to do so can cause rapid temperature ramp leading to device failures. Many machine lear…
WaveNets: Wavelet Channel Attention Networks
Hadi Salman, Caleb Parks, Shi Yin Hong +1
Channel Attention reigns supreme as an effective technique in the field of computer vision. However, the proposed channel attention by SENet suffers from information loss in featur…
A novel illumination condition varied image dataset-Food Vision Dataset (FVD) for fair and reliable consumer acceptability predictions from food
Swarna Sethu, Dongyi Wang
Recent advances in artificial intelligence promote a wide range of computer vision applications in many different domains. Digital cameras, acting as human eyes, can perceive funda…
ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
Khoa Vo, Kashu Yamazaki, Sang Truong +3
Temporal action proposal generation (TAPG) aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet plays an important role in many tasks of v…
Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping
Zhenfeng Shao, Gui Cheng, Deren Li +3
In a complex urban scene, observation from a single sensor unavoidably leads to voids in observations, failing to describe urban objects in a comprehensive manner. In this paper, w…
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation
Thanh-Dat Truong, Chi Nhan Duong, Ngan Le +3
Semantic segmentation aims to predict pixel-level labels. It has become a popular task in various computer vision applications. While fully supervised segmentation methods have ach…
Pan-sharpening via High-pass Modification Convolutional Neural Network
Jiaming Wang, Zhenfeng Shao, Xiao Huang +3
Most existing deep learning-based pan-sharpening methods have several widely recognized issues, such as spectral distortion and insufficient spatial texture enhancement, we propose…
Error Propagation in Satellite Multi-image Geometry
Joseph L Mundy, Hank Theiss
This paper describes an investigation of the source of geospatial error in digital surface models (DSMs) constructed from multiple satellite images. In this study the uncertainty i…
Self-Supervised Learning via multi-Transformation Classification for Action Recognition
Duc Quang Vu, Ngan T. H. Le, Jia-Ching Wang
Self-supervised tasks have been utilized to build useful representations that can be used in downstream tasks when the annotation is unavailable. In this paper, we introduce a self…
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification
Phawis Thammasorn, Daniel Hippe, Wanpracha Chaovalitwongse +6
Deep representation learning using triplet network for classification suffers from a lack of theoretical foundation and difficulty in tuning both the network and classifiers for pe…
Image Alignment in Unseen Domains via Domain Deep Generalization
Thanh-Dat Truong, Khoa Luu, Chi Nhan Duong +2
Image alignment across domains has recently become one of the realistic and popular topics in the research community. In this problem, a deep learning-based image alignment method…
ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
Chi Nhan Duong, Khoa Luu, Kha Gia Quach +1
Large-scale face recognition in-the-wild has been recently achieved matured performance in many real work applications. However, such systems are built on GPU platforms and mostly…
Image Processing in Quantum Computers
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. Representing image pixel by pi…
Automatic Face Aging in Videos via Deep Reinforcement Learning
Chi Nhan Duong, Khoa Luu, Kha Gia Quach +4
This paper presents a novel approach to synthesize automatically age-progressed facial images in video sequences using Deep Reinforcement Learning. The proposed method models facia…
Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling
Chi Nhan Duong, Khoa Luu, Kha Gia Quach +1
The "interpretation through synthesis" approach to analyze face images, particularly Active Appearance Models (AAMs) method, has become one of the most successful face modeling app…