Carlos D. Castillo

发表

Integrating Single-Unit and Pattern Codes in DCNNs Trained for Face Identification

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2020 .

An adversarial learning algorithm for mitigating gender bias in face recognition pdf

Carlos D. Castillo, Rama Chellappa, Prithviraj Dhar, 2020, ArXiv.

Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition

Carlos D. Castillo, Rama Chellappa, Jun-Cheng Chen, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Hybrid Dictionary Learning and Matching for Video-based Face Verification

Carlos D. Castillo, Jun-Cheng Chen, Vishal M. Patel, 2019, 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Chimps: an evolutionary reinforcement learning approach for soccer agents

Carlos D. Castillo, Ivette C. Martínez, Miguel Lurgi, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

On Measuring the Iconicity of a Face

Carlos D. Castillo, Rama Chellappa, Prithviraj Dhar, 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Deep Features for Recognizing Disguised Faces in the Wild

Carlos D. Castillo, Rama Chellappa, Ankan Bansal, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Activity Detection in Untrimmed Videos Using Chunk-based Classifiers

Carlos D. Castillo, Jun-Cheng Chen, Rama Chellappa, 2020, 2020 IEEE Winter Applications of Computer Vision Workshops (WACVW).

Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks

Carlos D. Castillo, Swami Sankaranarayanan, Rama Chellappa, 2016, International Journal of Computer Vision.

Deep Heterogeneous Feature Fusion for Template-Based Face Recognition

Carlos D. Castillo, Rama Chellappa, Jun-Cheng Chen, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

UMDFaces: An annotated face dataset for training deep networks

Carlos D. Castillo, Rama Chellappa, Ankan Bansal, 2016, 2017 IEEE International Joint Conference on Biometrics (IJCB).

Face Variation

Carlos D. Castillo, David W. Jacobs, 2009, Encyclopedia of Biometrics.

Real-time Detection of Activities in Untrimmed Videos

Carlos D. Castillo, Rama Chellappa, Joshua Gleason, 2020, 2020 IEEE Winter Applications of Computer Vision Workshops (WACVW).

Trainable 3D recognition using stereo matching

Carlos D. Castillo, David W. Jacobs, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Hierarchical Representations of Viewpoint and Illumination in Deep Convolutional Neural Networks Trained for Face Identification

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2018 .

Using Stereo Matching for 2-D Face Recognition Across Pose

Carlos D. Castillo, David W. Jacobs, D. Jacobs, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Facial Expression Information in Deep Convolutional Neural Networks Trained for Face Identification

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2019, Journal of Vision.

Towards the design of an end-to-end automated system for image and video-based recognition

Carlos D. Castillo, Swami Sankaranarayanan, Rama Chellappa, 2016, 2016 Information Theory and Applications Workshop (ITA).

An Approach to Vision-Based Person Detection in Robotic Applications

Carlos D. Castillo, Carolina Chang, Carolina Chang, 2005, IbPRIA.

Improving Network Robustness against Adversarial Attacks with Compact Convolution pdf

Carlos D. Castillo, Swami Sankaranarayanan, Rama Chellappa, 2017, ArXiv.

Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined pdf

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2020, ArXiv.

Improving Self-Confidence: An Advise-Based Evolutionary Model

Carlos D. Castillo, Ivette C. Martínez, Miguel A. Castro, 2003, EPIA.

Face Variation

Carlos D. Castillo, David W. Jacobs, 2015, Encyclopedia of Biometrics.

Deep convolutional neural networks in the face of caricature

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2018, Nature Machine Intelligence.

Social Trait Information in Deep Convolutional Neural Networks Trained for Face Identification

Connor J. Parde, Carlos D. Castillo, Swami Sankaranarayanan, 2019, Cogn. Sci..

Deep Convolutional Neural Networks in the Face of Caricature: Identity and Image Revealed pdf

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2018, ArXiv.

Face and Image Representation in Deep CNN Features

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Density of Top-Layer Codes in Deep Convolutional Neural Networks Trained for Face Identification

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2019, Journal of Vision.

A Fast and Accurate System for Face Detection, Identification, and Verification

Carlos D. Castillo, Rama Chellappa, Jun-Cheng Chen, 2018, IEEE Transactions on Biometrics, Behavior, and Identity Science.

SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild'

Carlos D. Castillo, David W. Jacobs, Soumyadip Sengupta, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Enhanced duckweed detection using bootstrapped SVM classification on medium resolution RGB MODIS imagery

Carlos D. Castillo, Iliana Chollett, Eduardo Klein, 2008 .

Deep Density Clustering of Unconstrained Faces

Carlos D. Castillo, Rama Chellappa, Jun-Cheng Chen, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Video-Based Face Association and Identification

Carlos D. Castillo, Rama Chellappa, Jun-Cheng Chen, 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Face Familiarity in Deep Convolutional Neural Networks

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2018 .

Seeing Through De-Identified Faces in Videos by Humans and a Deep Convolutional Neural Network

Carlos D. Castillo, Alice J. O'Toole, David S. Bolme, 2020 .

How are attributes expressed in face DCNNs?

Carlos D. Castillo, Rama Chellappa, P. Jonathon Phillips, 2020, 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020).

Towards Gender-Neutral Face Descriptors for Mitigating Bias in Face Recognition

Carlos D. Castillo, Rama Chellappa, Prithviraj Dhar, 2020 .

Son of Zorn's lemma: Targeted style transfer using instance-aware semantic segmentation

Carlos D. Castillo, Tom Goldstein, Bharat Singh, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

L2-constrained Softmax Loss for Discriminative Face Verification pdf

Carlos D. Castillo, Rama Chellappa, Rajeev Ranjan, 2017, ArXiv.

An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification

Carlos D. Castillo, Rama Chellappa, Jun-Cheng Chen, 2018, IEEE Transactions on Biometrics, Behavior, and Identity Science.

An Automatic System for Unconstrained Video-Based Face Recognition

Carlos D. Castillo, Rama Chellappa, Jun-Cheng Chen, 2018, IEEE Transactions on Biometrics, Behavior, and Identity Science.

Wide-baseline stereo for face recognition with large pose variation

Carlos D. Castillo, David W. Jacobs, D. Jacobs, 2011, CVPR 2011.

An All-In-One Convolutional Neural Network for Face Analysis

Carlos D. Castillo, Swami Sankaranarayanan, Rama Chellappa, 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).

Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose

Carlos D. Castillo, David W. Jacobs, D. Jacobs, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Comparing human and deep convolutional neural network face-matching performance on disguised face images

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2017 .

The Do’s and Don’ts for CNN-Based Face Verification

Carlos D. Castillo, Rama Chellappa, Ankan Bansal, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Deep CNN-Based Face Recognition

Carlos D. Castillo, Rama Chellappa, Rajeev Ranjan, 2020, Computer Vision.

Proximity-Aware Hierarchical Clustering of unconstrained faces

Carlos D. Castillo, Swami Sankaranarayanan, Rama Chellappa, 2018, Image Vis. Comput..

Social Networks: Analyzing Social Information in Deep Convolutional Neural Networks Trained for Face Identification

Connor J. Parde, Carlos D. Castillo, Swami Sankaranarayanan, 2018 .

Predicting Facial Attributes in Video Using Temporal Coherence and Motion-Attention

Carlos D. Castillo, Rama Chellappa, Emily M. Hand, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition pdf

Carlos D. Castillo, Swami Sankaranarayanan, Rama Chellappa, 2018, ArXiv.

Triplet probabilistic embedding for face verification and clustering

Carlos D. Castillo, Swami Sankaranarayanan, Rama Chellappa, 2016, 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS).

Frontal to profile face verification in the wild

Carlos D. Castillo, Rama Chellappa, Jun-Cheng Chen, 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

Face representations in deep convolutional neural networks

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2017 .

Generate to Adapt: Aligning Domains Using Generative Adversarial Networks

Carlos D. Castillo, Swami Sankaranarayanan, Rama Chellappa, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Doing the Best We Can With What We Have: Multi-Label Balancing With Selective Learning for Attribute Prediction

Carlos D. Castillo, Rama Chellappa, Emily M. Hand, 2018, AAAI.

Measuring race bias in face recognition algorithms: a multi-factor assessment

Carlos D. Castillo, Alice J. O'Toole, P. Jonathon Phillips, 2020 .

Biconvex Relaxation for Semidefinite Programming in Computer Vision pdf

Carlos D. Castillo, Tom Goldstein, David W. Jacobs, 2016, ECCV.

Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans

Carlos D. Castillo, Swami Sankaranarayanan, Jun-Cheng Chen, 2018, IEEE Signal Processing Magazine.

Accuracy comparison across face recognition algorithms: Where are we on measuring race bias? pdf

Carlos D. Castillo, Alice J. O'Toole, P. Jonathon Phillips, 2019, ArXiv.

Evaluating Automated Face Identity-Masking Methods with Human Perception and a Deep Convolutional Neural Network

Carlos D. Castillo, Thomas P. Karnowski, David S. Bolme, 2020, ACM Trans. Appl. Percept..

ATFaceGAN: Single Face Semantic Aware Image Restoration and Recognition From Atmospheric Turbulence

Carlos D. Castillo, Rama Chellappa, Chun Pong Lau, 2021, IEEE Transactions on Biometrics, Behavior, and Identity Science.

Deep CNN Face Recognition: Looking at the Past and the Future

Carlos D. Castillo, Rama Chellappa, Ankan Bansal, 2021, Advances in Computer Vision and Pattern Recognition.

PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition pdf

Carlos D. Castillo, Rama Chellappa, Prithviraj Dhar, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Distill and De-bias: Mitigating Bias in Face Recognition using Knowledge Distillation pdf

Carlos D. Castillo, P. Jonathon Phillips, Rama Chellappa, 2021, ArXiv.

A Synthesis-Based Approach for Thermal-to-Visible Face Verification

Carlos D. Castillo, Rama Chellappa, Vishal M. Patel, 2021, 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).

Supplementary Material of Modeling the Uncertainty of Contextual-Connections between Tracklets for Unconstrained Video-based Face Recognition

Carlos D. Castillo, R. Chellappa, Jun-Cheng Chen, 2019 .

Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans

Carlos D. Castillo, Vishal M. Patel, R. Chellappa, 2018, IEEE Signal Processing Magazine.

Fuzzy Vault

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Face Recognition Performance Evaluation

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Facial expression is retained in deep networks trained for face identification

Carlos D. Castillo, A. O'Toole, Y. Colón, 2020, Journal of vision.

Fake Finger Detection

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Features vs. Templates

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Where in the World is this Image? Transformer-based Geo-localization in the Wild

Carlos D. Castillo, R. Chellappa, Shraman Pramanick, 2022, ArXiv.

Face Space Representations in Deep Convolutional Neural Networks

Connor J. Parde, Carlos D. Castillo, Matthew Q. Hill, 2018, Trends in Cognitive Sciences.

2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016, Lake Placid, NY, USA, March 7-10, 2016

Carlos D. Castillo, Rama Chellappa, Mayank Vatsa, 2016, WACV.

Facial Action Coding

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

False Positive Rate

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Face Identification

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Feature Vector

Carlos D. Castillo, Takeo Kanade, Rama Chellappa, 2009, Encyclopedia of Biometrics.

Unconstrained Face Identification and Verification Using Deep Convolutional Features

Carlos D. Castillo, Rama Chellappa, Jun-Cheng Chen, 2018 .

Deep Density Clustering of Unconstrained Faces ( Supplementary Material )

Carlos D. Castillo, R. Chellappa, Jun-Cheng Chen, 2018 .

Facial expression is retained in deep networks trained for face identification

Carlos D. Castillo, A. O'Toole, C. Castillo, 2020, Journal of vision.

Twin Identification over Viewpoint Change: A Deep Convolutional Neural Network Surpasses Humans

Connor J. Parde, Carlos D. Castillo, Jacqueline G Cavazos, 2022, ACM Trans. Appl. Percept..

Face Recognition by Humans and Machines: Three Fundamental Advances from Deep Learning.

Carlos D. Castillo, A. O'Toole, C. Castillo, 2021, Annual review of vision science.

The Influence of the Other-Race Effect on Susceptibility to Face Morphing Attacks

Connor J. Parde, Carlos D. Castillo, A. O'Toole, 2022, ACM Trans. Appl. Percept..

Where in the World is this Image? Transformer-based Geo-localization in the Wild

Carlos D. Castillo, R. Chellappa, C. Castillo, 2022, ECCV.