WACV

Fast Face Image Synthesis with Minimal Training

Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn

Comments To appear in IEEE WACV 2019. Get our data (2M face images of 12K synthetic subjects, 8K 3D head models) by accessing the "Notre Dame Synthetic Face Dataset" here: https://cvrl.nd.edu/projects/data/

Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-driven Verification

Daniel Moreira, Mateusz Trokielewicz, Adam Czajka, Kevin W. Bowyer, Patrick J. Flynn

Comments Paper accepted for WACV 2019, Hawaii, USA

Iris Presentation Attack Detection Based on Photometric Stereo Features

Adam Czajka, Zhaoyuan Fang, Kevin W. Bowyer

Comments Patent Pending. Paper accepted for WACV 2019, Hawaii, USA

Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition

Adam Czajka, Daniel Moreira, Kevin W. Bowyer, Patrick J. Flynn

Comments Paper accepted for WACV 2019, Hawaii, USA

Local Gradients Smoothing: Defense against localized adversarial attacks

Muzammal Naseer, Salman H. Khan, Fatih Porikli

Comments Accepted At WACV-2019

Detecting abnormal events in video using Narrowed Normality Clusters

Radu Tudor Ionescu, Sorina Smeureanu, Marius Popescu, Bogdan Alexe

Comments Accepted at WACV 2019. arXiv admin note: text overlap with arXiv:1705.08182

Robust Monocular SLAM for Egocentric Videos

Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee

Comments Accepted for publication at IEEE WACV 2019

Going Deeper with Semantics: Video Activity Interpretation using Semantic Contextualization

Sathyanarayanan N. Aakur, Fillipe DM de Souza, Sudeep Sarkar

Comments Accepted to WACV 2019

Style and Content Disentanglement in Generative Adversarial Networks

Hadi Kazemi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi

Comments WACV 2019

A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions

Bo Zhou, Randolph Crawford, Belma Dogdas, Gregory Goldmacher, Antong Chen

Comments 10 pages, 7 figures, 3 tables, accepted by 2019 IEEE Winter Conference on Applications of Computer Vision (2019 WACV)

Ordinal Regression using Noisy Pairwise Comparisons for Body Mass Index Range Estimation

Luisa Polania, Dongning Wang, Glenn Fung

Comments Paper accepted for publication at the 2019 IEEE Winter Conference on Applications of Computer Vision (WACV 2019)

Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data

Kerry Halupka, Rahil Garnavi, Stephen Moore

Comments Accepted to WACV 2019

3D Human Pose Estimation with 2D Marginal Heatmaps

Aiden Nibali, Zhen He, Stuart Morgan, Luke Prendergast

Comments Accepted in WACV 2019

3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds

Ali Cheraghian, Lars Petersson

Comments 2019 IEEE Winter Conference on Applications of Computer Vision (WACV)

A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities

Bo Zhou, Yuemeng Li, Jiangcong Wang

Comments 10 pages, 6 figures; accepted by IEEE Winter Conference on Applications of Computer Vision (2019 WACV)

Action-Agnostic Human Pose Forecasting

Hsu-kuang Chiu, Ehsan Adeli, Borui Wang, De-An Huang, Juan Carlos Niebles

Comments Accepted for publication in WACV 2019

C4Synth: Cross-Caption Cycle-Consistent Text-to-Image Synthesis

K J Joseph, Arghya Pal, Sailaja Rajanala, Vineeth N Balasubramanian

Comments To appear in the proceedings of IEEE Winter Conference on Applications of Computer Vision, WACV-2019

Segmenting root systems in X-ray computed tomography images using level sets

Amy Tabb, Keith E. Duncan, Christopher N. Topp

Comments 11 pages

Journal ref 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, NV/CA. pp. 586-595

A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation

Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman

Journal ref IEEE WACV 2019

Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition

Pei Guo, Ryan Farrell

Comments Accepted to WACV 2019

How Much Chemistry Does a Deep Neural Network Need to Know to Make Accurate Predictions?

Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan Baker

Comments In Proceedings of 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)

BranchConnect: Large-Scale Visual Recognition with Learned Branch Connections

Karim Ahmed, Lorenzo Torresani

Comments WACV 2018

Journal ref IEEE Winter Conference on Applications of Computer Vision (WACV) 2018, pp. 1244-1253

Generating Handwritten Chinese Characters using CycleGAN

Bo Chang, Qiong Zhang, Shenyi Pan, Lili Meng

Comments Accepted at WACV 2018

Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction

Mingze Xu, Chenyou Fan, John D Paden, Geoffrey C Fox, David J Crandall

Comments 10 pages, 7 figures, published in WACV 2018

Understanding Convolution for Semantic Segmentation

Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison Cottrell

Comments WACV 2018. Updated acknowledgements. Source code: https://github.com/TuSimple/TuSimple-DUC

Reliability Map Estimation For CNN-Based Camera Model Attribution

David Güera, Sri Kalyan Yarlagadda, Paolo Bestagini, Fengqing Zhu, Stefano Tubaro, Edward J. Delp

Comments Presented at the IEEE Winter Conference on Applications of Computer Vision (WACV18)

Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory

Ameya Prabhu, Vishal Batchu, Rohit Gajawada, Sri Aurobindo Munagala, Anoop Namboodiri

Comments Accepted in WACV'18 (Oral)

Distribution-Aware Binarization of Neural Networks for Sketch Recognition

Ameya Prabhu, Vishal Batchu, Sri Aurobindo Munagala, Rohit Gajawada, Anoop Namboodiri

Comments Accepted at WACV '18 (Oral)

Image Segmentation using Sparse Subset Selection

Fariba Zohrizadeh, Mohsen Kheirandishfard, Farhad Kamangar

Comments IEEE Winter Conference on Applications of Computer Vision (WACV), 2018

To Frontalize or Not To Frontalize: Do We Really Need Elaborate Pre-processing To Improve Face Recognition?

Sandipan Banerjee, Joel Brogan, Janez Krizaj, Aparna Bharati, Brandon RichardWebster, Vitomir Struc, Patrick Flynn, Walter Scheirer

Comments Accepted to WACV 2018 - Fixed title to correct working version Code available here: https://github.com/joelb92/ND_Frontalization_Project/tree/master/Release