6th Sep, 2019

Description

Welcome to the 1st MSU-ND Computer Vision and Biometrics Workshop. This is a gathering of computer vision and biometrics researchers at Michigan State University and University of Notre Dame to discuss recent research findings and cultivate a community of collaboration among the faculty and students.

Program Outline

Time Program Notes
  Morning  
09:45 Arrival/Check-In  
10:00 Introduction  
10:30 Uncertainty-aware Deep Face Recognition Yichun Shi
10:45 Does Face Recognition Accuracy Get Better With Age? Deep Face Matchers Say No Vitor Albiero
11:00 Deep Tree Learning for Zero-shot Face Anti-spoofing Yaojie Liu
11:15 Provenance Analysis: Telling the Story of Composite Images Daniel Moreira
11:30 Poster Session I  
13:00 Lunch Break Catered
  Afternoon  
14:00 RaspiReader: An Open Source Fingerprint Reader Joshua Engelsma
14:15 Deep Feature Extraction for Iris Recognition Aidan Boyd
14:30 Fusing MFCC and LPC Features using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals Anurag Chowdhury
14:45 Bridging the Gap Between Computational Photography and Visual Recognition: The UG^2 Challenges Sreya Banerjee
15:00 Poster Session II  
16:30 RankGAN: A Maximum Margin Ranking GAN for Generating Faces Rahul Dey
16:45 Towards Exascale Connectomics with FLoRIN and Deep Learning Jeff Kinnison
17:00 Unsupervised Temporal Segmentation of Actions in Video Rosaura Vidal
17:15 Adversarially Fair Representation Learning Bashir Sadeghi
  Evening  
17:30 Campus Walk/Tour Weather Permitting
18:30 Dinner  
20:00 Departure  

Poster Session I

  • Synthesizing Face Images from Graphs (Thomas Swearingen)
  • Inverse Graphics for 3D Object Modeling and Reconstruction (Luan Tran/Feng Liu)
  • Towards Interpretable Face Recognition (Xiaoming Liu)
  • NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Zhichao Lu)
  • Fake Face Detection (Hao Dang)
  • On the Intrinsic Dimensionality of Image Representation (Sixue Gong)
  • WarpGAN: Automatic Caricature Generation (Debayan Deb)
  • Face Phylogeny Tree: Deducing Relationships Between Near-Duplicate Face Images Using Legendre Polynomials and Radial Basis Functions (Sudipta Banerjee)
  • On Learning Disentangled Representations for Gait Recognition (Ziyuan Zhang)
  • Visual Psychophysics for Face Recognition (Walter Scheirer)
  • Weakly Supervised Step-wise Domain Adaptation for LR Face Recognition (Pei Li)
  • Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition (Adam Czajka / Daniel Moreira)
  • Predicting Gender From Iris Texture May be Harder Than it Seems (Andrey Kuehlkamp)
  • Deep Feature Extraction for Iris Recognition (Aidan Boyd)
  • Real-time Scene Text Detection and Recognition for Videos (Bingyu Shen)
  • GTA: Ground Truth Automator (Patrick Tinsley)
  • PrivacyNet: Obfuscating Soft-Biometric Attributes for Face Privacy (Vahid Mirjalili)
  • Generating Hash Codes for Faces and Fingerprints (Achsah/Vedrana)
  • Tools for Meme Analysis (William Theisen)

Poster Session II

  • 3D Face Modeling From Diverse Raw Scan Data (Feng Liu)
  • Verba Volant, Scripta Manent: AI Assisted Historical Document Analysis (Sam Grieggs/Bingyu Shen)
  • Unsupervised Temporal Segmentation of Actions in Video (Rosaura Vidal)
  • Bridging the Gap Between Computational Photography and Visual Recogntion: The UG^2 Dataset (Rosaura Vidal/Sreya Banerjee)
  • On the Global Optima of Kernelized Adversarial Representation Learning (Bashir Sadeghi)
  • Beyond Pixels: Image Provenance Analysis Leveraging Metadata (Daniel Moreira)
  • M3D-RPN: Monocular 3D Region Proposal Network for Object Detection (Garrick Brazil)
  • Noise Modeling, Synthesis, and Classification for Generic Object Anti-Spoofing (Joel Stehouwer)
  • Learning-free iris segmentation revisited: A first step toward fast volumetric operation over video samples (Jeff Kinnison)
  • Iris Presentation Attack Detection Based on Photometric Stereo Features (Zhaoyuan (Andy) Wang / Adam Czajka)
  • Real-time Scene Text Detection and Recognition for Videos (Bingyu Shen)
  • Synthesizing iris images using RaSGAN (Shivangi Yadav)
  • Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach (Proteek Roy)
  • White-Box Evaluation of Fingerprint Matchers (Steven Grosz)
  • Feature Transfer Learning for Face Recognition with Under-Represented Data (Xiaoming Liu)
  • Depth Coefficients for Depth Completion (Saif Imran)
  • OCT Imaging-based Iris Presentation Attack Detection (Renu Sharma)
  • Fingerprint Presentation Attack Detection: Generalization and Efficiency (Tarang Chugh)