Papers MORPH
“MORPH” 태그가 달린 논문 206편 · 필터 해제
Overcoming Occlusions in the Wild: A Multi-Task Age Head Approach to Age Estimation
Facial age estimation has achieved considerable success under controlled conditions. However, in unconstrained real-world scenarios, which are often referred to as 'in the wild', age estimation remains challenging, espec…
Age EstimationMORPHdiffDemorph: Extending Reference-Free Demorphing to Unseen Faces
A face morph is created by combining two (or more) face images corresponding to two (or more) identities to produce a composite that successfully matches the constituent identities. Reference-free (RF) demorphing reverse…
MORPHMorphGuard: Morph Specific Margin Loss for Enhancing Robustness to Face Morphing Attacks
Face recognition has evolved significantly with the advancement of deep learning techniques, enabling its widespread adoption in various applications requiring secure authentication. However, this progress has also incre…
Face RecognitionMORPHSeeing Cells Clearly: Evaluating Machine Vision Strategies for Microglia Centroid Detection in 3D Images
Microglia are important cells in the brain, and their shape can tell us a lot about brain health. In this project, I test three different tools for finding the center points of microglia in 3D microscope images. The tool…
MORPHChatGPT Encounters Morphing Attack Detection: Zero-Shot MAD with Multi-Modal Large Language Models and General Vision Models
Face Recognition Systems (FRS) are increasingly vulnerable to face-morphing attacks, prompting the development of Morphing Attack Detection (MAD) algorithms. However, a key challenge in MAD lies in its limited generaliza…
Face RecognitionMORPHZero-Shot LearningGraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
Accurately restoring topology is both challenging and crucial in tubular structure extraction tasks, such as blood vessel segmentation and road network extraction. Diverging from traditional approaches based on pixel-lev…
DecoderMORPHSegmentationMorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing
We introduce MorphNLI, a modular step-by-step approach to natural language inference (NLI). When classifying the premise-hypothesis pairs into {entailment, contradiction, neutral}, we use a language model to generate the…
Language ModelingLanguage ModellingMORPHNatural Language InferenceRelative Age Estimation Using Face Images
This work introduces a novel deep-learning approach for estimating age from a single facial image by refining an initial age estimate. The refinement leverages a reference face database of individuals with similar ages a…
Age EstimationMORPHMORPH-LER: Log-Euclidean Regularization for Population-Aware Image Registration
Spatial transformations that capture population-level morphological statistics are critical for medical image analysis. Commonly used smoothness regularizers for image registration fail to integrate population statistics…
Image RegistrationMedical Image AnalysisMORPHUnsupervised Image RegistrationScaling Inference-Efficient Language Models
Scaling laws are powerful tools to predict the performance of large language models. However, current scaling laws fall short of accounting for inference costs. In this work, we first show that model architecture affects…
Model SelectionMORPHMetric for Evaluating Performance of Reference-Free Demorphing Methods
A facial morph is an image created by combining two (or more) face images pertaining to two (or more) distinct identities. Reference-free face demorphing inverts the process and tries to recover the face images constitut…
MORPHMetaMorph: Multimodal Understanding and Generation via Instruction Tuning
In this work, we propose Visual-Predictive Instruction Tuning (VPiT) - a simple and effective extension to visual instruction tuning that enables a pretrained LLM to quickly morph into an unified autoregressive model cap…
Instruction FollowingMORPHWorld KnowledgeLDM-Morph: Latent diffusion model guided deformable image registration
Deformable image registration plays an essential role in various medical image tasks. Existing deep learning-based deformable registration frameworks primarily utilize convolutional neural networks (CNNs) or Transformers…
Computational EfficiencyImage RegistrationMedical Image RegistrationMORPHMorph: A Motion-free Physics Optimization Framework for Human Motion Generation
Human motion generation plays a vital role in applications such as digital humans and humanoid robot control. However, most existing approaches disregard physics constraints, leading to the frequent production of physica…
MORPHMotion Generationdc-GAN: Dual-Conditioned GAN for Face Demorphing From a Single Morph
A facial morph is an image created by combining two face images pertaining to two distinct identities. Face demorphing inverts the process and tries to recover the original images constituting a facial morph. While morph…
MORPHGenerative Unfolding with Distribution Mapping
Machine learning enables unbinned, highly-differential cross section measurements. A recent idea uses generative models to morph a starting simulation into the unfolded data. We show how to extend two morphing techniques…
MORPHNCA-Morph: Medical Image Registration with Neural Cellular Automata
Medical image registration is a critical process that aligns various patient scans, facilitating tasks like diagnosis, surgical planning, and tracking. Traditional optimization based methods are slow, prompting the use o…
HippocampusImage RegistrationMedical Image RegistrationMORPHSDI-Paste: Synthetic Dynamic Instance Copy-Paste for Video Instance Segmentation
Data augmentation methods such as Copy-Paste have been studied as effective ways to expand training datasets while incurring minimal costs. While such methods have been extensively implemented for image level tasks, we f…
Data AugmentationInstance SegmentationMORPHSemantic Segmentation+1LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion
Face morphing attacks pose a severe security threat to face recognition systems, enabling the morphed face image to be verified against multiple identities. To detect such manipulated images, the development of new face …
DiversityFace RecognitionMORPHSoundMorpher: Perceptually-Uniform Sound Morphing with Diffusion Model
We present SoundMorpher, an open-world sound morphing method designed to generate perceptually uniform morphing trajectories. Traditional sound morphing techniques typically assume a linear relationship between the morph…
modelMORPH