Dipan K. Pal

27 papers A* 4A 4B 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2020 A conf
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes.
BMVC
Dipan K. Pal, Akshay Chawla, Marios Savvides
2020 A conf
Towards a Hypothesis on Visual Transformation based Self-Supervision.
BMVC
Dipan K. Pal, Sreena Nallamothu, Marios Savvides
2019 A* conf
Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution.
CVPR
Raied Aljadaany, Dipan K. Pal, Marios Savvides
2019 A conf
Is Pose Really Solved? A Frontalization Study On Off-Angle Face Matching.
WACV
Dipan K. Pal, Chandrasekhar Bhagavatula, Yutong Zheng, Ran Tao, Marios Savvides
2019 J jnl
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes.
CoRR
Dipan K. Pal, Marios Savvides
2019 A* conf
Non-Parametric Transformation Networks for Learning General Invariances from Data.
AAAI
Dipan K. Pal, Marios Savvides
2019 — conf
Proximal Splitting Networks for Image Restoration.
ICIAR (1)
Raied Aljadaany, Dipan K. Pal, Marios Savvides
2019 J jnl
Proximal Splitting Networks for Image Restoration.
CoRR
Raied Aljadaany, Dipan K. Pal, Marios Savvides
2019 J jnl
Towards a Hypothesis on Visual Transformation based Self-Supervision.
CoRR
Dipan K. Pal, Sreena Nallamothu, Marios Savvides
2018 J jnl
Non-Parametric Transformation Networks.
CoRR
Dipan K. Pal, Marios Savvides
2018 A* conf
Ring Loss: Convex Feature Normalization for Face Recognition.
CVPR
Yutong Zheng, Dipan K. Pal, Marios Savvides
2018 J jnl
Ring loss: Convex Feature Normalization for Face Recognition.
CoRR
Yutong Zheng, Dipan K. Pal, Marios Savvides
2017 J jnl
Class Correlation affects Single Object Localization using Pre-trained ConvNets.
CoRR
Pokkalla Harsha Vardhan, Kunal Sekhri, Dipan K. Pal, Marios Savvides
2017 J jnl
Deep Contextual Recurrent Residual Networks for Scene Labeling.
CoRR
T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Marios Savvides, Dipan K. Pal
2017 J jnl
Emergence of Selective Invariance in Hierarchical Feed Forward Networks.
CoRR
Dipan K. Pal, Vishnu Naresh Boddeti, Marios Savvides
2017 J jnl
How ConvNets model Non-linear Transformations.
CoRR
Dipan K. Pal, Marios Savvides
2017 J jnl
Max-Margin Invariant Features from Transformed Unlabeled Data.
CoRR
Dipan K. Pal, Ashwin A. Kannan, Gautam Arakalgud, Marios Savvides
2017 — conf
Max-Margin Invariant Features from Transformed Unlabelled Data.
NIPS
Dipan K. Pal, Ashwin A. Kannan, Gautam Arakalgud, Marios Savvides
2016 A* conf
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation.
CVPR
Dipan K. Pal, Felix Juefei-Xu, Marios Savvides
2016 — conf
Stochastic CoSaMP: Randomizing Greedy Pursuit for Sparse Signal Recovery.
ECML/PKDD (1)
Dipan K. Pal, Ole J. Mengshoel
2015 — conf
A preliminary investigation on the sensitivity of COTS face recognition systems to forensic analyst-style face processing for occlusions.
CVPR Workshops
Felix Juefei-Xu, Dipan K. Pal, Karanhaar Singh, Marios Savvides
2015 — conf
Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos.
CVPR Workshops
Keshav Seshadri, Felix Juefei-Xu, Dipan K. Pal, Marios Savvides, Craig P. Thor
2015 B conf
Investigating the feasibility of image-based nose biometrics.
ICIP
Niv Zehngut, Felix Juefei-Xu, Rishabh Bardia, Dipan K. Pal, Chandrasekhar Bhagavatula, Marios Savvides
2015 — conf
NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction.
CVPR Workshops
Felix Juefei-Xu, Dipan K. Pal, Marios Savvides
2015 J jnl
Unitary-Group Invariant Kernels and Features from Transformed Unlabeled Data.
CoRR
Dipan K. Pal, Marios Savvides
2014 A conf
Feedback control for multi-modal optimization using genetic algorithms.
GECCO
Jun Shi, Ole J. Mengshoel, Dipan K. Pal
2014 — conf
Hallucinating the Full Face from the Periocular Region via Dimensionally Weighted K-SVD.
CVPR Workshops
Felix Juefei-Xu, Dipan K. Pal, Marios Savvides