277 citations · 771 across the 30 of their papers we have counts for
7 papers · 1 filter
SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild
Soumyadip Sengupta, Angjoo Kanazawa, Carlos D. Castillo +1
We present SfSNet, an end-to-end learning framework for producing an accurate decomposition of an unconstrained human face image into shape, reflectance and illuminance. SfSNet is…
Improving Network Robustness against Adversarial Attacks with Compact Convolution
Rajeev Ranjan, Swami Sankaranarayanan, Carlos D. Castillo +1
Though Convolutional Neural Networks (CNNs) have surpassed human-level performance on tasks such as object classification and face verification, they can easily be fooled by advers…
The Do's and Don'ts for CNN-based Face Verification
Ankan Bansal, Carlos Castillo, Rajeev Ranjan +1
While the research community appears to have developed a consensus on the methods of acquiring annotated data, design and training of CNNs, many questions still remain to be answer…
Generate To Adapt: Aligning Domains using Generative Adversarial Networks
Swami Sankaranarayanan, Yogesh Balaji, Carlos D. Castillo +1
Domain Adaptation is an actively researched problem in Computer Vision. In this work, we propose an approach that leverages unsupervised data to bring the source and target distrib…
L2-constrained Softmax Loss for Discriminative Face Verification
Rajeev Ranjan, Carlos D. Castillo, Rama Chellappa
In recent years, the performance of face verification systems has significantly improved using deep convolutional neural networks (DCNNs). A typical pipeline for face verification…
Deep Heterogeneous Feature Fusion for Template-Based Face Recognition
Navaneeth Bodla, Jingxiao Zheng, Hongyu Xu +3
Although deep learning has yielded impressive performance for face recognition, many studies have shown that different networks learn different feature maps: while some networks ar…