Peer, A.
* 2013: Design and Evaluation of a Haptic Computer-Assistant for Telemanipulation Tasks
* 2013: Haptic Perception of Material Properties and Implications for Applications
* 2014: Feature Extraction and Selection for Emotion Recognition from EEG
Peer, D.[David]
* 2021: Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks
* 2021: Limitation of capsule networks
* 2022: Greedy-layer pruning: Speeding up transformer models for natural language processing
Peer, M.[Marco]
* 2022: Writer Retrieval using Compact Convolutional Transformers and NetMVLAD
Peer, P.[Peter]
* 1900: Computer Vision Lab OCR DataBase: CVL OCR DB
* 1999: CVL Face Database
* 2001: Mosaic-Based Panoramic Depth Imaging with a Single Standard Camera
* 2002: Panoramic Depth Imaging: Single Standard Camera Approach
* 2003: Color-Based Face Detection in the 15 Seconds of Fame Art Installation
* 2003: Towards a Real Time Panoramic Depth Sensor
* 2005: Estimation of a fluorescent lamp spectral distribution for color image in machine vision
* 2006: Where physically is the optical center?
* 2008: Automatic natural and man-made scene differentiation using perspective geometrical properties of the scenes
* 2009: Iris-Based Human Verification System: A Research Prototype
* 2017: Training Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild
* 2018: Convolutional encoderdecoder networks for pixel-wise ear detection and segmentation
* 2020: Learning privacy-enhancing face representations through feature disentanglement
* 2022: C-VTON: Context-Driven Image-Based Virtual Try-On Network
* 2022: FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration
* 2023: Efficient ear alignment using a two-stack hourglass network
* 2023: Face deidentification with controllable privacy protection
* 2023: GlassesGAN: Eyewear Personalization Using Synthetic Appearance Discovery and Targeted Subspace Modeling
* 2023: Occluded thermal face recognition using BoCNN and radial derivative Gaussian feature descriptor
* 2023: SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes
* 2024: ASPECD: Adaptable Soft-Biometric Privacy-Enhancement Using Centroid Decoding for Face Verification
* 2024: DiCTI: Diffusion-based Clothing Designer via Text-guided Input
* 2025: ID-Booth: Identity-consistent Face Generation with Diffusion Models
* 2025: SelfMAD: Enhancing Generalization and Robustness in Morphing Attack Detection via Self-Supervised Learning
* 2026: FaceMINT: A library for gaining insights into biometric face recognition via mechanistic interpretability
Includes: Peer, P.[Peter] Peer, P.
25 for Peer, P.
Peer, R.
* 2001: Comparison of low-contrast detail perception on storage phosphor radiographs and digital flat panel detector images
Peer, S.
* 2001: Comparison of low-contrast detail perception on storage phosphor radiographs and digital flat panel detector images
Peerasathein, T.
* 2007: Biologically Inspired Object Categorization in Cluttered Scenes
Peerbhay, K.[Kabir]
* 2016: Detecting bugweed (Solanum mauritianum) abundance in plantation forestry using multisource remote sensing
* 2017: Mapping leaf nitrogen and carbon concentrations of intact and fragmented indigenous forest ecosystems using empirical modeling techniques and WorldView-2 data
* 2019: Feature Selection on Sentinel-2 Multispectral Imagery for Mapping a Landscape Infested by Parthenium Weed
* 2020: Comparing partial least squares (PLS) discriminant analysis and sparse PLS discriminant analysis in detecting and mapping Solanum mauritianum in commercial forest plantations using image texture
* 2021: Burned Area Mapping over the Southern Cape Forestry Region, South Africa Using Sentinel Data within GEE Cloud Platform
Peerbhay, K.Y.[Kabir Yunus]
* 2013: Commercial tree species discrimination using airborne AISA Eagle hyperspectral imagery and partial least squares discriminant analysis (PLS-DA) in KwaZulu-Natal, South Africa
* 2019: Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa
Peerbocus, M.A.
* 2004: System for Change Documentation Based on a Spatiotemporal Database, A
Peereman, J.[Jonathan]
* 2020: Assessing Typhoon-Induced Canopy Damage Using Vegetation Indices in the Fushan Experimental Forest, Taiwan
* 2020: Landscape Representation by a Permanent Forest Plot and Alternative Plot Designs in a Typhoon Hotspot, Fushan, Taiwan
* 2021: Cold Wave-Induced Reductions in NDII and ChlRE for North-Western Pacific Mangroves Varies with Latitude and Climate History
Peeri, S.
* 2011: Seafloor: A Key Factor in Lidar Bottom Detection, The
* 2018: Effect of Surface Waves on Airborne Lidar Bathymetry (ALB) Measurement Uncertainties, The
Includes: Peeri, S. Peeri, S.[Shachak]
Peerlings, R.[Rick]
* 2007: Depth-Image Representation Employing Meshes for Intermediate-View Rendering and Coding
Peers, C.[Christopher]
* 2023: Performance and Usability Evaluation Scheme for Mobile Manipulator Teleoperation
Peers, P.[Pieter]
* 2005: Scene-Adapted Structured Light
* 2009: Image-based separation of diffuse and specular reflections using environmental structured illumination
* 2012: Estimating Surface Normals from Spherical Stokes Reflectance Fields
* 2013: empirical study on the effects of translucency on photometric stereo, An
* 2014: Scattering Parameters and Surface Normals from Homogeneous Translucent Materials Using Photometric Stereo
* 2019: Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks
* 2021: Depth-Aware Mirror Segmentation
* 2022: Glass Segmentation using Intensity and Spectral Polarization Cues
* 2023: Multi-view Spectral Polarization Propagation for Video Glass Segmentation
* 2023: Single Depth-image 3D Reflection Symmetry and Shape Prediction
* 2025: ScribbleLight: Single Image Indoor Relighting with Scribbles
11 for Peers, P.
Peery, S.[Seth]
* 2015: Cloud-Sourcing: Using an Online Labor Force to Detect Clouds and Cloud Shadows in Landsat Images
Peery, T.
* 2013: Physical modeling of nuclear detonations in dirsig
Peery, T.R.
* 2014: Physical modeling of nuclear detonations in DIRSIG