Hallucinating the Full Face from the Periocular Region via Dimensionally Weighted K-SVD. - Felix Juefei-Xu; Dipan K. Pal; Marios Savvides (CVPR Workshops, 2014)

Feedback control for multi-modal optimization using genetic algorithms. - Jun Shi; Ole J. Mengshoel; Dipan K. Pal (GECCO, 2014)

NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction. - Felix Juefei-Xu; Dipan K. Pal; Marios Savvides (CVPR Workshops, 2015)

A preliminary investigation on the sensitivity of COTS face recognition systems to forensic analyst-style face processing for occlusions. - Felix Juefei-Xu; Dipan K. Pal; Karanhaar Singh; Marios Savvides (CVPR Workshops, 2015)

Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos. - Keshav Seshadri; Felix Juefei-Xu; Dipan K. Pal; Marios Savvides; Craig P. Thor (CVPR Workshops, 2015)

Investigating the feasibility of image-based nose biometrics. - Niv Zehngut; Felix Juefei-Xu; Rishabh Bardia; Dipan K. Pal; Chandrasekhar Bhagavatula; Marios Savvides (ICIP, 2015)

Unitary-Group Invariant Kernels and Features from Transformed Unlabeled Data. - Dipan K. Pal; Marios Savvides (CoRR, 2015)

Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation. - Dipan K. Pal; Felix Juefei-Xu; Marios Savvides (CVPR, 2016)

Stochastic CoSaMP: Randomizing Greedy Pursuit for Sparse Signal Recovery. - Dipan K. Pal; Ole J. Mengshoel (ECML/PKDD (1), 2016)

Max-Margin Invariant Features from Transformed Unlabelled Data. - Dipan K. Pal; Ashwin A. Kannan; Gautam Arakalgud; Marios Savvides (NIPS, 2017)

Deep Contextual Recurrent Residual Networks for Scene Labeling. - T. Hoang Ngan Le; Chi Nhan Duong; Ligong Han; Khoa Luu; Marios Savvides; Dipan K. Pal (CoRR, 2017)

Emergence of Selective Invariance in Hierarchical Feed Forward Networks. - Dipan K. Pal; Vishnu Naresh Boddeti; Marios Savvides (CoRR, 2017)

How ConvNets model Non-linear Transformations. - Dipan K. Pal; Marios Savvides (CoRR, 2017)

Max-Margin Invariant Features from Transformed Unlabeled Data. - Dipan K. Pal; Ashwin A. Kannan; Gautam Arakalgud; Marios Savvides (CoRR, 2017)

Class Correlation affects Single Object Localization using Pre-trained ConvNets. - Pokkalla Harsha Vardhan; Kunal Sekhri; Dipan K. Pal; Marios Savvides (CoRR, 2017)

Ring Loss: Convex Feature Normalization for Face Recognition. - Yutong Zheng; Dipan K. Pal; Marios Savvides (CVPR, 2018)

Non-Parametric Transformation Networks. - Dipan K. Pal; Marios Savvides (CoRR, 2018)

Non-Parametric Transformation Networks for Learning General Invariances from Data. - Dipan K. Pal; Marios Savvides (AAAI, 2019)

Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution. - Raied Aljadaany; Dipan K. Pal; Marios Savvides (CVPR, 2019)

Proximal Splitting Networks for Image Restoration. - Raied Aljadaany; Dipan K. Pal; Marios Savvides (ICIAR (1), 2019)

Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching. - Dipan K. Pal; Chandrasekhar Bhagavatula; Yutong Zheng; Ran Tao 013; Marios Savvides (WACV, 2019)

Learning Non-Parametric Invariances from Data with Permanent Random Connectomes. - Dipan K. Pal; Marios Savvides (CoRR, 2019)

Learning Non-Parametric Invariances from Data with Permanent Random Connectomes. - Dipan K. Pal; Akshay Chawla; Marios Savvides (BMVC, 2020)

Towards a Hypothesis on Visual Transformation based Self-Supervision. - Dipan K. Pal; Sreena Nallamothu; Marios Savvides (BMVC, 2020)