Over the past few months, the Program Committee and Area Chairs worked very hard to review each of the 164 papers submitted to IJCB 2021. The reviewers were carefully selected and assigned papers for review in their areas of expertise. A double-blind review policy was adopted. The review process resulted in the selection of the following 66 (40.2%) highly qualified papers to be included in the Technical Program.

  • 8: Self-Augmented Heterogeneous Face Recognition
  • 13: Multi-subband and Multi-subepoch Time Series Feature Learning for EEG-based Sleep Stage Classification
  • 15: High Quality Facial Data Synthesis and Fusion for 3D Low-quality Face Recognition
  • 16: On the Effectiveness of Vision Transformers for Zero-shot Face Anti-Spoofing
  • 21: Practical Face Swapping Detection Based on Identity Spatial Constraints
  • 26: PointFace: Point Set Based Feature Learning for 3D Face Recognition
  • 27: RamFace: Race Adaptive Margin Based Face Recognition for Racial Bias Mitigation
  • 30: Orientation Field Estimation for Latent Fingerprints with Prior Knowledge of Fingerprint Pattern
  • 31: Collaborative Feature Learning and Credible Soft Labeling for Unsupervised Domain Adaptive Person Re-Identification
  • 34: Gender-Invariant Face Representation Learning and Data Augmentation for Kinship Verification
  • 36: SADet: Learning An Efficient and Accurate Pedestrian Detector
  • 42: A Large-scale Database for Less Cooperative Iris Recognition
  • 44: Bita-Net: Bi-temporal Attention Network for Facial Video Forgery Detection
  • 45: Visual-semantic Transformer for Face Forgery Detection
  • 46: LFMB-3DFB: A Large-scale Finger Multi-Biometric Database and Benchmark for 3D Finger Biometrics
  • 48: Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results
  • 50: Attention-guided Progressive Mapping for Profile Face Recognition
  • 52: Federated Learning-based Active Authentication on Mobile Devices
  • 73: Video-Based Physiological Measurement Using 3D Central Difference Convolution Attention Network
  • 74: STERLING: Towards Effective ECG Biometric Recognition
  • 76: An End-to-End Autofocus Camera for Iris on the Move
  • 77: Refining Single Low-Quality Facial Depth Map by Lightweight and Efficient Deep Model
  • 79: TDS-Net: Towards Fast Dynamic Random Hand Gesture Authentication via Temporal Difference Symbiotic Neural Network
  • 80: Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network
  • 81: CAS-AIR-3D Face: A Low-Quality, Multi-Modal and Multi-Pose 3D Face Database
  • 83: Structure Destruction and Content Combination for Face Anti-Spoofing
  • 84: BioCanCrypto: A LDPC Coded Bio-Cryptosystem on Fingerprint Cancellable Template
  • 87: Contrastive Uncertainty Learning for Iris Recognition With Insufficient Labeled Samples
  • 89: Learning Discriminative Speaker Embedding by Improving Aggregation Strategy and Loss Function for Speaker Verification
  • 91: Defending Touch-based Continuous Authentication Systems from Active Adversaries Using Generative Adversarial Networks
  • 94: Identifying Rhythmic Patterns for Face Forgery Detection and Categorization
  • 97: Finger Vein Verification using Intrinsic and Extrinsic Features
  • 100: ReSGait: The Real-Scene Gait Dataset
  • 101: Deep Multi-loss Hashing Network for Palmprint Retrieval and Recognition
  • 102: Exploiting Non-uniform Inherent Cues to Improve Presentation Attack Detection
  • 103: A Dense Pyramid Convolution Network for Infant Fingerprint Super-Resolution and Enhancement
  • 104: A Temporal Memory-based Continuous Authentication System
  • 105: Sequential Interactive Biased Network for Context-Aware Emotion Recognition
  • 106: Feasibility of Morphing-Attacks in Vascular Biometrics
  • 108: Newborns Can Be Threatening Too: Morphing Attacks on Face Recognition Systems
  • 109: Does Face Recognition Error Echo Gender Prediction Error?
  • 117: Avoiding Spectacles Reflections on Iris Images Using A Ray-tracing Method
  • 119: Concealable Biometric-based Continuous User Authentication System An EEG Induced Deep Learning Model
  • 124: Estimation of Gait Relative Attribute Distributions using a Differentiable Trade-off Model of Optimal and Uniform Transports
  • 125: MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence
  • 130: Joint Feature Distribution Alignment Learning for NIR-VIS and VIS-VIS Face Recognition
  • 132: Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition
  • 137: Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition
  • 138: A Unified Model for Fingerprint Authentication and Presentation Attack Detection
  • 144: On the use of automatically generated synthetic image datasets for benchmarking face recognition
  • 146: Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Network
  • 151: MixFaceNets: Extremely Efficient Face Recognition Networks
  • 152: Vulnerability Assessment and Presentation Attack Detection Using a Set of Distinct Finger Vein Recognition Algorithms
  • 154: Optimizing contactless to contact-based fingerprint comparison using simple parametric warping models
  • 160: Conditional Identity Disentanglement for Differential Face Morph Detection
  • 161: FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network
  • 162: FedFace: Collaborative Learning of Face Recognition Model
  • 166: Child Face Age Progression and Regression using Self-Attention Multi-Scale Patch GAN
  • 167: Simultaneous Face Hallucination and Translation for Thermal to Visible Face Verification using Axial-GAN
  • 171: 3D Face Point Cloud Super-Resolution Network
  • 177: Leveraging Adversarial Learning for the Detection of Morpheding Attacks
  • 178: Universal Adversarial Spoofing Attacks against Face Recognition
  • 179: Attention Aware Wavelet-based Detection of Morphed Face Images
  • 186: YakReID-103: A Benchmark for Yak Re-Identification
  • 187: Enhance gender and identity preservation in face aging simulation for infants and toddlers
  • 194: Static and Dynamic Features Analysis from Human Skeletons for Gait Recognition