37 citations · 175 across the 20 of their papers we have counts for
24 papers
POPS: Recovering Unlearned Multi-Modality Knowledge in MLLMs with Prompt-Optimized Parameter Shaking
Zhangheng LI, Jianing Zhu, Junyuan Hong +4
Multimodal Large Language Models (MLLMs) have demonstrated impressive performance on cross-modal tasks by jointly training on large-scale textual and visual data, where privacy-sen…
Diagnosing Aerial-View Object Detectors with Foundational Image Generative Models
Stanislav Panev, Minhyek Jeon, Vaishnavi Khindkar +5
Recent advances in large-scale image generative models enable photorealistic scene synthesis with controllable attributes. Beyond data augmentation, their potential as diagnostic t…
Thermal-Det: Language-Guided Cross-Modal Distillation for Open-Vocabulary Thermal Object Detection
Yasiru Ranasinghe, Elim Schenck, Florence Yellin +3
Existing open-vocabulary detectors focus on RGB images and fail to generalize to thermal imagery, where low texture and emissivity variations challenge RGB-based semantics. We pres…
Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision
Xiao Fang, Minhyek Jeon, Zheyang Qin +5
Detecting vehicles in aerial imagery is a critical task with applications in traffic monitoring, urban planning, and defense intelligence. Deep learning methods have provided state…
2D-3D Attention and Entropy for Pose Robust 2D Facial Recognition
J. Brennan Peace, Shuowen Hu, Benjamin S. Riggan
Despite recent advances in facial recognition, there remains a fundamental issue concerning degradations in performance due to substantial perspective (pose) differences between en…
A Brief Survey on Person Recognition at a Distance
Chrisopher B. Nalty, Neehar Peri, Joshua Gleason +4
Person recognition at a distance entails recognizing the identity of an individual appearing in images or videos collected by long-range imaging systems such as drones or surveilla…
Learning Domain and Pose Invariance for Thermal-to-Visible Face Recognition
Cedric Nimpa Fondje, Shuowen Hu, Benjamin S. Riggan
Interest in thermal to visible face recognition has grown significantly over the last decade due to advancements in thermal infrared cameras and analytics beyond the visible spectr…
Open-Set Automatic Target Recognition
Bardia Safaei, Vibashan VS, Celso M. de Melo +2
Automatic Target Recognition (ATR) is a category of computer vision algorithms which attempts to recognize targets on data obtained from different sensors. ATR algorithms are exten…
DefakeHop++: An Enhanced Lightweight Deepfake Detector
Hong-Shuo Chen, Shuowen Hu, Suya You +1
On the basis of DefakeHop, an enhanced lightweight Deepfake detector called DefakeHop++ is proposed in this work. The improvements lie in two areas. First, DefakeHop examines three…
FAR: Fourier Aerial Video Recognition
Divya Kothandaraman, Tianrui Guan, Xijun Wang +3
We present an algorithm, Fourier Activity Recognition (FAR), for UAV video activity recognition. Our formulation uses a novel Fourier object disentanglement method to innately sepa…
Geo-DefakeHop: High-Performance Geographic Fake Image Detection
Hong-Shuo Chen, Kaitai Zhang, Shuowen Hu +2
A robust fake satellite image detection method, called Geo-DefakeHop, is proposed in this work. Geo-DefakeHop is developed based on the parallel subspace learning (PSL) methodology…
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning
Vibashan VS, Domenick Poster, Suya You +2
Object detectors trained on large-scale RGB datasets are being extensively employed in real-world applications. However, these RGB-trained models suffer a performance drop under ad…
Heterogeneous Face Frontalization via Domain Agnostic Learning
Xing Di, Shuowen Hu, Vishal M. Patel
Recent advances in deep convolutional neural networks (DCNNs) have shown impressive performance improvements on thermal to visible face synthesis and matching problems. However, cu…
Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN
Rakhil Immidisetti, Shuowen Hu, Vishal M. Patel
Existing thermal-to-visible face verification approaches expect the thermal and visible face images to be of similar resolution. This is unlikely in real-world long-range surveilla…
DefakeHop: A Light-Weight High-Performance Deepfake Detector
Hong-Shuo Chen, Mozhdeh Rouhsedaghat, Hamza Ghani +3
A light-weight high-performance Deepfake detection method, called DefakeHop, is proposed in this work. State-of-the-art Deepfake detection methods are built upon deep neural networ…
A Large-Scale, Time-Synchronized Visible and Thermal Face Dataset
Domenick Poster, Matthew Thielke, Robert Nguyen +8
Thermal face imagery, which captures the naturally emitted heat from the face, is limited in availability compared to face imagery in the visible spectrum. To help address this sca…
Low-Resolution Face Recognition In Resource-Constrained Environments
Mozhdeh Rouhsedaghat, Yifan Wang, Shuowen Hu +2
A non-parametric low-resolution face recognition model for resource-constrained environments with limited networking and computing is proposed in this work. Such environments often…
Cross-Domain Identification for Thermal-to-Visible Face Recognition
Cedric Nimpa Fondje, Shuowen Hu, Nathaniel J. Short +1
Recent advances in domain adaptation, especially those applied to heterogeneous facial recognition, typically rely upon restrictive Euclidean loss functions (e.g., norm) whic…
FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method
Mozhdeh Rouhsedaghat, Yifan Wang, Xiou Ge +3
A light-weight low-resolution face gender classification method, called FaceHop, is proposed in this research. We have witnessed rapid progress in face gender classification accura…
Multi-Scale Thermal to Visible Face Verification via Attribute Guided Synthesis
Xing Di, Benjamin S. Riggan, Shuowen Hu +2
Thermal-to-visible face verification is a challenging problem due to the large domain discrepancy between the modalities. Existing approaches either attempt to synthesize visible f…
Polarimetric Thermal to Visible Face Verification via Self-Attention Guided Synthesis
Xing Di, Benjamin S. Riggan, Shuowen Hu +2
Polarimetric thermal to visible face verification entails matching two images that contain significant domain differences. Several recent approaches have attempted to synthesize vi…
Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks
He Zhang, Benjamin S. Riggan, Shuowen Hu +2
The large domain discrepancy between faces captured in polarimetric (or conventional) thermal and visible domain makes cross-domain face verification a highly challenging problem f…
Thermal to Visible Synthesis of Face Images using Multiple Regions
Benjamin S. Riggan, Nathaniel J. Short, Shuowen Hu
Synthesis of visible spectrum faces from thermal facial imagery is a promising approach for heterogeneous face recognition; enabling existing face recognition software trained on v…
Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces
He Zhang, Vishal M. Patel, Benjamin S. Riggan +1
The large domain discrepancy between faces captured in polarimetric (or conventional) thermal and visible domain makes cross-domain face recognition quite a challenging problem for…