default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSudeep Sarkar
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j70]Ahmed Shahabaz
, Sudeep Sarkar:
Increasing Importance of Joint Analysis of Audio and Video in Computer Vision: A Survey. IEEE Access 12: 59399-59430 (2024)- [c112]Kshitiz, Sonu Shreshtha, Bikash Dutta, Muskan Dosi, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar:
BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes. AAAI 2024: 21879-21887 - [c111]Azim Ibragimov, Maurício Pamplona Segundo, Sudeep Sarkar, Kevin W. Bowyer:
Unveiling Gender Effects in Gait Recognition Using Conditional-Matched Bootstrap Analysis. FG 2024: 1-10 - [c110]Shenyuan Liang, Anuj Srivastava, Maurício Pamplona Segundo, Sudeep Sarkar, Sathyanarayanan N. Aakur:
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis. ISBI 2024: 1-4 - [i19]Ramy Mounir, Sudeep Sarkar:
Predictive Attractor Models. CoRR abs/2410.02430 (2024) - 2023
- [j69]Ramy Mounir, Ahmed Shahabaz, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar:
Towards Automated Ethogramming: Cognitively-Inspired Event Segmentation for Streaming Wildlife Video Monitoring. Int. J. Comput. Vis. 131(9): 2267-2297 (2023) - [j68]Ramy Mounir, Ahmed Shahabaz, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar:
Correction: Towards Automated Ethogramming: Cognitively-Inspired Event Segmentation for Streaming Wildlife Video Monitoring. Int. J. Comput. Vis. 131(11): 3118 (2023) - [j67]Nicolas Bustos, Mehrsa Mashhadi, Susana K. Lai-Yuen, Sudeep Sarkar, Tapas K. Das:
A systematic literature review on object detection using near infrared and thermal images. Neurocomputing 560: 126804 (2023) - [j66]Sathyanarayanan N. Aakur, Sudeep Sarkar:
Leveraging Symbolic Knowledge Bases for Commonsense Natural Language Inference Using Pattern Theory. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13185-13202 (2023) - [j65]Mohammad Noroozi, Hanieh Rastegar Moghaddam, Ankit Shah, Hadi Charkhgard, Sudeep Sarkar, Tapas K. Das, Timothy Pohland:
An AI-Assisted Systematic Literature Review of the Impact of Vehicle Automation on Energy Consumption. IEEE Trans. Intell. Veh. 8(6): 3572-3592 (2023) - [c109]Dawei Du, Cole Hill, Gabriel Bertocco, Maurício Pamplona Segundo, Wes Robbins, Brandon RichardWebster, Roderic Collins, Sudeep Sarkar, Terrance E. Boult, Scott McCloskey:
DOERS: Distant Observation Enhancement and Recognition System. IJCB 2023: 1-11 - [c108]Kshitiz, Sonu Shreshtha, Ramy Mounir, Mayank Vatsa, Richa Singh, Saket Anand, Sudeep Sarkar, Sevaram Mali Parihar:
Long-term Monitoring of Bird Flocks in the Wild. IJCAI 2023: 6344-6352 - [c107]Ramy Mounir, Sujal Vijayaraghavan, Sudeep Sarkar:
STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner. NeurIPS 2023 - [c106]Maurício Pamplona Segundo, Cole Hill, Sudeep Sarkar:
Long range gait matching using 3D body fitting with gait-specific motion constraints. WACV (Workshops) 2023: 603-612 - [i18]Shenyuan Liang, Maurício Pamplona Segundo, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava:
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis. CoRR abs/2308.06869 (2023) - [i17]Cole Hill, Maurício Pamplona Segundo, Sudeep Sarkar:
Reducing Training Demands for 3D Gait Recognition with Deep Koopman Operator Constraints. CoRR abs/2308.07468 (2023) - [i16]Sujal Vijayaraghavan, Redwan Alqasemi, Rajiv V. Dubey, Sudeep Sarkar:
LocaliseBot: Multi-view 3D object localisation with differentiable rendering for robot grasping. CoRR abs/2311.08438 (2023) - 2022
- [c105]Sathyanarayanan N. Aakur, Sudeep Sarkar:
Actor-Centered Representations for Action Localization in Streaming Videos. ECCV (38) 2022: 70-87 - [c104]Aditi Basu Bal, Ramy Mounir, Sathyanarayanan N. Aakur, Sudeep Sarkar, Anuj Srivastava:
Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration. ECCV (35) 2022: 440-456 - [c103]Sujal Vijayaraghavan, Redwan Alqasemi, Rajiv V. Dubey, Sudeep Sarkar:
LocaliseBot: Multi-view 3D Object Localisation with Differentiable Rendering for Robot Grasping. ECCV Workshops (6) 2022: 699-711 - 2021
- [j64]Xiaoyang Guo, Anuj Srivastava, Sudeep Sarkar:
A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data. J. Math. Imaging Vis. 63(6): 735-752 (2021) - [j63]José Arturo Olvera-López, Joaquín Salas, Jesús Ariel Carrasco-Ochoa, José Fco. Martínez-Trinidad, Sudeep Sarkar:
Virtual special issue on novel data-representation and classification techniques. Pattern Recognit. Lett. 142: 1-2 (2021) - [j62]Tian Tan, Redwan Alqasemi, Rajiv V. Dubey, Sudeep Sarkar:
Formulation and Validation of an Intuitive Quality Measure for Antipodal Grasp Pose Evaluation. IEEE Robotics Autom. Lett. 6(4): 6907-6914 (2021) - [j61]Maurício Pamplona Segundo, Allan da Silva Pinto, Rodrigo Minetto, Ricardo da Silva Torres, Sudeep Sarkar:
Measuring Economic Activity From Space: A Case Study Using Flying Airplanes and COVID-19. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 7213-7224 (2021) - [j60]Rodrigo Minetto, Maurício Pamplona Segundo, Gilbert Rotich, Sudeep Sarkar:
Measuring Human and Economic Activity From Satellite Imagery to Support City-Scale Decision-Making During COVID-19 Pandemic. IEEE Trans. Big Data 7(1): 56-68 (2021) - [c102]Ramy Mounir, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar:
Spatio-Temporal Event Segmentation for Wildlife Extended Videos. CVIP (2) 2021: 48-59 - [d1]Maurício Pamplona Segundo, Allan Pinto, Rodrigo Minetto, Ricardo da Silva Torres, Sudeep Sarkar:
A dataset for detecting flying airplanes on satellite images. IEEE DataPort, 2021
- [i15]Maurício Pamplona Segundo, Allan da Silva Pinto, Rodrigo Minetto, Ricardo da Silva Torres, Sudeep Sarkar:
Measuring economic activity from space: a case study using flying airplanes and COVID-19. CoRR abs/2104.10345 (2021) - [i14]Sathyanarayanan N. Aakur, Sudeep Sarkar:
Learning Actor-centered Representations for Action Localization in Streaming Videos using Predictive Learning. CoRR abs/2104.14131 (2021) - 2020
- [j59]Ilia A. Bautista Adames, Sudeep Sarkar, Sanjukta Bhanja:
MatlabHTM: A sequence memory model of neocortical layers for anomaly detection. SoftwareX 11: 100491 (2020) - [c101]Sathyanarayanan N. Aakur, Sudeep Sarkar:
Action Localization Through Continual Predictive Learning. ECCV (14) 2020: 300-317 - [i13]Sathyanarayanan N. Aakur, Sudeep Sarkar:
Action Localization through Continual Predictive Learning. CoRR abs/2003.12185 (2020) - [i12]Rodrigo Minetto, Maurício Pamplona Segundo, Gilbert Rotich, Sudeep Sarkar:
Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic. CoRR abs/2004.07438 (2020) - [i11]Ramy Mounir, Roman Gula, Jörn Theuerkauf, Sudeep Sarkar:
Temporal Event Segmentation using Attention-based Perceptual Prediction Model for Continual Learning. CoRR abs/2005.02463 (2020)
2010 – 2019
- 2019
- [j58]Rodrigo Minetto, Maurício Pamplona Segundo, Sudeep Sarkar:
Hydra: An Ensemble of Convolutional Neural Networks for Geospatial Land Classification. IEEE Trans. Geosci. Remote. Sens. 57(9): 6530-6541 (2019) - [j57]Ravichandran Subramanian, Sudeep Sarkar:
Evaluation of Algorithms for Orientation Invariant Inertial Gait Matching. IEEE Trans. Inf. Forensics Secur. 14(2): 304-318 (2019) - [c100]Sathyanarayanan N. Aakur, Sudeep Sarkar:
A Perceptual Prediction Framework for Self Supervised Event Segmentation. CVPR 2019: 1197-1206 - [c99]Ziga Emersic, Hyeonjung Park, Gi Pyo Nam, Ig-Jae Kim, Sagar G. Sangodkar, Umit Kacar, Murvet Kirci, Li Yuan, Jishou Yuan, Haonan Zhao, Fei Lu, S. V. Aruna Kumar, Junying Mao, Xiaoshuang Zhang, Doggucan Yaman, Fevziye Irem Eyiokur, Kadir Bulut Özler, Hazim Kemal Ekenel, Debbrota Paul Chowdhury, Sambit Bakshi, Pankaj Kumar Sa, Banshidhar Majhi, B. S. Harish, Peter Peer, Vitomir Struc, Weronika Gutfeter, Jalil Nourmohammadi-Khiarak, Andrzej Pacut, Earnest E. Hansley, Maurício Pamplona Segundo, Sudeep Sarkar:
The Unconstrained Ear Recognition Challenge 2019. ICB 2019: 1-15 - [c98]Chih-Yun Pai, Hunter Morera, Sudeep Sarkar, Kimberly S. Hall, Linda J. Cowan, Peter A. Toyinbo, Matthew J. Peterson, Dmitry B. Goldgof:
Automatic pressure ulcer measurement using RGB-D data. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095320 - [c97]Sathyanarayanan N. Aakur, Daniel Sawyer, Sudeep Sarkar:
Fine-grained Action Detection in Untrimmed Surveillance Videos. WACV Workshops 2019: 38-40 - [c96]Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar:
Going Deeper With Semantics: Video Activity Interpretation Using Semantic Contextualization. WACV 2019: 190-199 - [i10]Ziga Emersic, S. V. Aruna Kumar, B. S. Harish, Weronika Gutfeter, Jalil Nourmohammadi-Khiarak, Andrzej Pacut, Earnest E. Hansley, Maurício Pamplona Segundo, Sudeep Sarkar, Hyeonjung Park, Gi Pyo Nam, Ig-Jae Kim, Sagar G. Sangodkar, Ümit Kaçar, Murvet Kirci, Li Yuan, Jishou Yuan, Haonan Zhao, Fei Lu, Junying Mao, Xiaoshuang Zhang, Dogucan Yaman, Fevziye Irem Eyiokur, Kadir Bulut Özler, Hazim Kemal Ekenel, Debbrota Paul Chowdhury, Sambit Bakshi, Pankaj Kumar Sa, Banshidhar Majhi, Peter Peer, Vitomir Struc:
The Unconstrained Ear Recognition Challenge 2019 - ArXiv Version With Appendix. CoRR abs/1903.04143 (2019) - [i9]Sathyanarayanan N. Aakur, Sudeep Sarkar:
Abductive Reasoning as Self-Supervision for Common Sense Question Answering. CoRR abs/1909.03099 (2019) - [i8]Xiaoyang Guo, Anuj Srivastava, Sudeep Sarkar:
A Quotient Space Formulation for Statistical Analysis of Graphical Data. CoRR abs/1909.12907 (2019) - 2018
- [j56]Earnest E. Hansley, Maurício Pamplona Segundo, Sudeep Sarkar:
Employing fusion of learned and handcrafted features for unconstrained ear recognition. IET Biom. 7(3): 215-223 (2018) - [j55]Jiwen Lu, Ruiping Wang, Ajmal S. Mian, Ajay Kumar, Sudeep Sarkar:
Distance metric learning for pattern recognition. Pattern Recognit. 75: 1-3 (2018) - [c95]Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar:
An Inherently Explainable Model for Video Activity Interpretation. AAAI Workshops 2018: 688-694 - [c94]Gilbert Rotich, Sathyanarayanan N. Aakur, Rodrigo Minetto, Maurício Pamplona Segundo, Sudeep Sarkar:
Using Semantic Relationships among Objects for Geospatial Land Use Classification. AIPR 2018: 1-7 - [c93]Fábio Augusto Faria, Sudeep Sarkar:
A Graph-based Approach for Static Ensemble Selection in Remote Sensing Image Analysis. ICPR 2018: 344-349 - [c92]Sathyanarayanan N. Aakur, Daniel Sawyer, Michal Balazia, Sudeep Sarkar:
Fine-grained Action Detection in Long Surveillance Videos. TRECVID 2018 - [e1]José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, Sudeep Sarkar:
Pattern Recognition - 10th Mexican Conference, MCPR 2018, Puebla, Mexico, June 27-30, 2018, Proceedings. Lecture Notes in Computer Science 10880, Springer 2018, ISBN 978-3-319-92197-6 [contents] - [i7]Rodrigo Minetto, Maurício Pamplona Segundo, Sudeep Sarkar:
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification. CoRR abs/1802.03518 (2018) - [i6]Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve, Dmitry B. Goldgof, Rangachar Kasturi, Sudeep Sarkar:
A method to Suppress Facial Expression in Posed and Spontaneous Videos. CoRR abs/1810.02401 (2018) - [i5]Gilbert Rotich, Rodrigo Minetto, Sudeep Sarkar:
Resource-Constrained Simultaneous Detection and Labeling of Objects in High-Resolution Satellite Images. CoRR abs/1810.10110 (2018) - [i4]Sathyanarayanan N. Aakur, Sudeep Sarkar:
A Perceptual Prediction Framework for Self Supervised Event Segmentation. CoRR abs/1811.04869 (2018) - 2017
- [j54]Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su:
Spatially Coherent Interpretations of Videos Using Pattern Theory. Int. J. Comput. Vis. 121(1): 5-25 (2017) - [c91]Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar:
Towards a Knowledge-Based Approach for Generating Video Descriptions. CRV 2017: 24-31 - [p2]Sunita Nayak, Kester Duncan, Sudeep Sarkar, Barbara L. Loeding:
Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs. Gesture Recognition 2017: 203-230 - [i3]Sathyanarayanan N. Aakur, Fillipe D. M. de Souza, Sudeep Sarkar:
Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos. CoRR abs/1708.03725 (2017) - [i2]Earnest E. Hansley, Maurício Pamplona Segundo, Sudeep Sarkar:
Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition. CoRR abs/1710.07662 (2017) - 2016
- [j53]Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su:
Pattern theory for representation and inference of semantic structures in videos. Pattern Recognit. Lett. 72: 41-51 (2016) - [c90]Mona Fathollahi Ghezelghieh, Rangachar Kasturi, Sudeep Sarkar:
Learning Camera Viewpoint Using CNN to Improve 3D Body Pose Estimation. 3DV 2016: 685-693 - [c89]Fillipe D. M. de Souza, Sudeep Sarkar, Guillermo Cámara Chávez:
Building semantic understanding beyond deep learning from sound and vision. ICPR 2016: 2097-2102 - [i1]Mona Fathollahi Ghezelghieh, Rangachar Kasturi, Sudeep Sarkar:
Learning camera viewpoint using CNN to improve 3D body pose estimation. CoRR abs/1609.05522 (2016) - 2015
- [j52]RaviKiran Krishnan, Sudeep Sarkar:
Conditional distance based matching for one-shot gesture recognition. Pattern Recognit. 48(4): 1302-1314 (2015) - [c88]Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su:
Temporally coherent interpretations for long videos using pattern theory. CVPR 2015: 1229-1237 - [c87]Ravichandran Subramanian, Sudeep Sarkar, Miguel A. Labrador, Kristina Contino, Christopher Eggert, Omar Javed, Jiejie Zhu, Hui Cheng:
Orientation invariant gait matching algorithm based on the Kabsch alignment. ISBA 2015: 1-8 - [r3]Sudeep Sarkar, Ravichandran Subramanian, Zongyi Liu:
Gait Recognition, Evaluation. Encyclopedia of Biometrics 2015: 789-799 - 2014
- [j51]Matthew Shreve, Jesse Brizzi, Sergiy Fefilatyev, Timur Luguev, Dmitry B. Goldgof, Sudeep Sarkar:
Automatic expression spotting in videos. Image Vis. Comput. 32(8): 476-486 (2014) - [j50]Luciano Silva, Sudeep Sarkar, Carla Maria Dal Sasso Freitas, Roberto Scopigno:
SIBGRAPI 25th: Advances in Pattern Recognition and Computer Vision. Pattern Recognit. Lett. 39: 1 (2014) - [j49]Matthew Shreve, Mauricio Pamplona, Timur Luguev, Dmitry B. Goldgof, Sudeep Sarkar:
High-resolution 3D surface strain magnitude using 2D camera and low-resolution depth sensor. Pattern Recognit. Lett. 50: 34-42 (2014) - [j48]Maurício Pamplona Segundo, Luciano Silva, Olga Regina Pereira Bellon, Sudeep Sarkar:
Orthogonal projection images for 3D face detection. Pattern Recognit. Lett. 50: 72-81 (2014) - [c86]Mustafa Mashali, Redwan Alqasemi, Sudeep Sarkar, Rajiv V. Dubey:
Design, implementation and evaluation of a motion control scheme for mobile platforms with high uncertainties. BioRob 2014: 1091-1097 - [c85]Jingyong Su, Anuj Srivastava, Fillipe D. M. de Souza, Sudeep Sarkar:
Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition. CVPR 2014: 620-627 - [c84]Kester Duncan, Sudeep Sarkar, Redwan Alqasemi, Rajiv V. Dubey:
Scene-Dependent Intention Recognition for Task Communication with Reduced Human-Robot Interaction. ECCV Workshops (3) 2014: 730-745 - [c83]Fillipe D. M. de Souza, Sudeep Sarkar, Anuj Srivastava, Jingyong Su:
Pattern Theory-Based Interpretation of Activities. ICPR 2014: 106-111 - [c82]Jesse Brizzi, Dmitry B. Goldgof, Sudeep Sarkar, Matthew Shreve:
Optical Flow Based Expression Suppression in Video. ICPR 2014: 1817-1821 - [c81]Karan Khokar, Redwan Alqasemi, Sudeep Sarkar, Kyle B. Reed, Rajiv V. Dubey:
A novel telerobotic method for human-in-the-loop assisted grasping based on intention recognition. ICRA 2014: 4762-4769 - 2013
- [j47]Aveek Shankar Brahmachari, Sudeep Sarkar:
Hop-Diffusion Monte Carlo for Epipolar Geometry Estimation between Very Wide-Baseline Images. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 755-762 (2013) - [c80]Maurício Pamplona Segundo, Sudeep Sarkar, Dmitry B. Goldgof, Luciano Silva, Olga Regina Pereira Bellon:
Continuous 3D Face Authentication Using RGB-D Cameras. CVPR Workshops 2013: 64-69 - [c79]RaviKiran Krishnan, Sudeep Sarkar:
Similarity Measure between Two Gestures Using Triplets. CVPR Workshops 2013: 506-513 - [c78]Karan H. Khokar, Redwan Alqasemi, Sudeep Sarkar, Rajiv V. Dubey:
Human motion intention based scaled teleoperation for orientation assistance in preshaping for grasping. ICORR 2013: 1-6 - [c77]Kester Duncan, Sudeep Sarkar, Redwan Alqasemi, Rajiv V. Dubey:
Multi-scale superquadric fitting for efficient shape and pose recovery of unknown objects. ICRA 2013: 4238-4243 - [c76]Jingyong Su, Anuj Srivastava, Fillipe D. M. de Souza, Sudeep Sarkar:
Rate-invariant comparisons of covariance paths for visual speech recognition. NCVPRIPG 2013: 1-4 - [c75]Fábio Augusto Faria, Jefersson Alex dos Santos, Sudeep Sarkar, Anderson Rocha, Ricardo da Silva Torres:
Classifier Selection Based on the Correlation of Diversity Measures: When Fewer Is More. SIBGRAPI 2013: 16-23 - 2012
- [j46]Sunita Nayak, Kester Duncan, Sudeep Sarkar, Barbara L. Loeding:
Finding recurrent patterns from continuous sign language sentences for automated extraction of signs. J. Mach. Learn. Res. 13: 2589-2615 (2012) - [c74]Kester Duncan, Sudeep Sarkar:
Relational entropy-based saliency detection in images and videos. ICIP 2012: 1093-1096 - [c73]Ravi Panchumarthy, Ravi Subramanian, Sudeep Sarkar:
Biometric Evaluation on the Cloud: A Case Study with HumanID Gait Challenge. UCC 2012: 219-222 - [c72]Matthew Shreve, Sergiy Fefilatyev, Nestor Bonilla, Gerry Hernandez, Dmitry B. Goldgof, Sudeep Sarkar:
View-Invariant Method for Calculating 2D Optical Strain. WDIA 2012: 42-49 - [p1]Amit Khemlani, Kester Duncan, Sudeep Sarkar:
People Counter: Counting of Mostly Static People in Indoor Conditions. Video Analytics for Business Intelligence 2012: 133-159 - 2011
- [c71]Matthew Shreve, Neeha Jain, Dmitry B. Goldgof, Sudeep Sarkar, Walter G. Kropatsch, Chieh-Han John Tzou, Manfred Frey:
Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy Using Optical Strain. CAIP (1) 2011: 512-519 - [c70]Sudeep Sarkar, Barbara L. Loeding, Ruiduo Yang, Sunita Nayak, Ayush Parashar:
Segmentation-robust representations, matching, and modeling for sign language. CVPR Workshops 2011: 13-19 - [c69]Matthew Shreve, Sridhar Godavarthy, Dmitry B. Goldgof, Sudeep Sarkar:
Macro- and micro-expression spotting in long videos using spatio-temporal strain. FG 2011: 51-56 - [c68]Saket Srivastava, Arjun Asthana, Sanjukta Bhanja, Sudeep Sarkar:
QCAPro - An error-power estimation tool for QCA circuit design. ISCAS 2011: 2377-2380 - [c67]Aveek Shankar Brahmachari, Sudeep Sarkar:
Fast detection of noisy GPS and magnetometer tags in wide-baseline multi-views. ACM Multimedia 2011: 997-1000 - [c66]Aveek Shankar Brahmachari, Sudeep Sarkar:
View Clustering of Wide-Baseline N-views for Photo Tourism. SIBGRAPI 2011: 157-164 - [r2]Sudeep Sarkar, Zongyi Liu:
Gait Recognition. Encyclopedia of Cryptography and Security (2nd Ed.) 2011: 503-506 - 2010
- [j45]Ruiduo Yang, Sudeep Sarkar, Barbara L. Loeding:
Handling Movement Epenthesis and Hand Segmentation Ambiguities in Continuous Sign Language Recognition Using Nested Dynamic Programming. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 462-477 (2010) - [j44]Duminda I. B. Randeniya, Sudeep Sarkar, Manjriker Gunaratne:
Vision-IMU Integration Using a Slow-Frame-Rate Monocular Vision System in an Actual Roadway Setting. IEEE Trans. Intell. Transp. Syst. 11(2): 256-266 (2010) - [c65]Matthew Shreve, Vasant Manohar, Dmitry B. Goldgof, Sudeep Sarkar:
Face recognition under camouflage and adverse illumination. BTAS 2010: 1-6 - [c64]RaviKiran Krishnan, Sudeep Sarkar:
Detecting Group Turn Patterns in Conversations Using Audio-Video Change Scale-Space. ICPR 2010: 137-140 - [c63]Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof, Sudeep Sarkar:
Modeling Facial Skin Motion Properties in Video and Its Application to Matching Faces across Expressions. ICPR 2010: 2122-2125 - [c62]Kester Duncan, Sudeep Sarkar:
REM: relational entropy-based measure of saliency. ICVGIP 2010: 40-47
2000 – 2009
- 2009
- [j43]Ruiduo Yang, Sudeep Sarkar:
Coupled grouping and matching for sign and gesture recognition. Comput. Vis. Image Underst. 113(6): 663-681 (2009) - [j42]Sunita Nayak, Sudeep Sarkar, Barbara L. Loeding:
Distribution-Based Dimensionality Reduction Applied to Articulated Motion Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 31(5): 795-810 (2009) - [c61]Brendan Klare, Sudeep Sarkar:
Background subtraction in varying illuminations using an ensemble based on an enlarged feature set. CVPR Workshops 2009: 66-73 - [c60]Sunita Nayak, Sudeep Sarkar, Barbara L. Loeding:
Automated extraction of signs from continuous sign language sentences using Iterated Conditional Modes. CVPR 2009: 2583-2590 - [c59]Aveek Shankar Brahmachari, Sudeep Sarkar:
BLOGS: Balanced local and global search for non-degenerate two view epipolar geometry. ICCV 2009: 1685-1692 - [c58]Matthew Shreve, Sridhar Godavarthy, Vasant Manohar, Dmitry B. Goldgof, Sudeep Sarkar:
Towards macro- and micro-expression spotting in video using strain patterns. WACV 2009: 1-6 - [r1]Sudeep Sarkar, Zongyi Liu:
Evaluation of Gait Recognition. Encyclopedia of Biometrics 2009: 281-289 - 2008
- [j41]Subir Kumar Ghosh, Joel W. Burdick, Amitava Bhattacharya, Sudeep Sarkar:
Online Algorithms with Discrete Visibility - Exploring Unknown Polygonal Environments. IEEE Robotics Autom. Mag. 15(2): 67-76 (2008) - [j40]Himanshu Vajaria, Sudeep Sarkar, Rangachar Kasturi:
Exploring Co-Occurence Between Speech and Body Movement for Audio-Guided Video Localization. IEEE Trans. Circuits Syst. Video Technol. 18(11): 1608-1617 (2008) - [j39]Pranab K. Mohanty, Sudeep Sarkar, Rangachar Kasturi, P. Jonathon Phillips:
Subspace Approximation of Face Recognition Algorithms: An Empirical Study. IEEE Trans. Inf. Forensics Secur. 3(4): 734-748 (2008) - [j38]Sanjukta Bhanja, Sudeep Sarkar:
Thermal Switching Error Versus Delay Tradeoffs in Clocked QCA Circuits. IEEE Trans. Very Large Scale Integr. Syst. 16(5): 528-541 (2008) - [c57]Zongyi Liu, Sudeep Sarkar:
Robust outdoor text detection using text intensity and shape features. ICPR 2008: 1-4 - [c56]Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof, Sudeep Sarkar:
Finite element modeling of facial deformation in videos for computing strain pattern. ICPR 2008: 1-4 - [c55]Himanshu Vajaria, Sudeep Sarkar, Rangachar Kasturi:
Clip retrieval using multi-modal biometrics in meeting archives. ICPR 2008: 1-4 - 2007
- [j37]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap:
A sensitivity analysis method and its application in physics-based nonrigid motion modeling. Image Vis. Comput. 25(3): 262-273 (2007) - [j36]Zongyi Liu, Sudeep Sarkar:
Outdoor recognition at a distance by fusing gait and face. Image Vis. Comput. 25(6): 817-832 (2007) - [j35]Pranab K. Mohanty, Sudeep Sarkar, Rangachar Kasturi:
From Scores to Face Templates: A Model-Based Approach. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2065-2078 (2007) - [j34]Himanshu Vajaria, Tanmoy Islam, Pranab K. Mohanty, Sudeep Sarkar, Ravi Sankar, Rangachar Kasturi:
Evaluation and analysis of a face and voice outdoor multi-biometric system. Pattern Recognit. Lett. 28(12): 1572-1580 (2007) - [c54]Ruiduo Yang, Sudeep Sarkar, Barbara L. Loeding:
Enhanced Level Building Algorithm for the Movement Epenthesis Problem in Sign Language Recognition. CVPR 2007 - [c53]Yong Zhang, Yan Qiu, Dmitry B. Goldgof, Sudeep Sarkar, Lihua Li:
3D Finite Element Modeling of Nonrigid Breast Deformation for Feature Registration in -ray and MR Images. WACV 2007: 38 - [c52]Vasant Manohar, Dmitry B. Goldgof, Sudeep Sarkar, Yong Zhang:
Facial Strain Pattern as a Soft Forensic Evidence. WACV 2007: 42 - 2006
- [j33]Zongyi Liu, Sudeep Sarkar:
Improved Gait Recognition by Gait Dynamics Normalization. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 863-876 (2006) - [j32]Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar:
A constrained genetic approach for computing material property of elastic objects. IEEE Trans. Evol. Comput. 10(3): 341-357 (2006) - [c51]Pranab K. Mohanty, Sudeep Sarkar, Rangachar Kasturi:
Privacy & Security Issues Related to Match Scores. CVPR Workshops 2006: 162 - [c50]Ruiduo Yang, Sudeep Sarkar:
Gesture Recognition using Hidden Markov Models from Fragmented Observations. CVPR (1) 2006: 766-773 - [c49]Ruiduo Yang, Sudeep Sarkar, Barbara L. Loeding, Arthur I. Karshmer:
Efficient Generation of Large Amounts of Training Data for Sign Language Recognition: A Semi-automatic Tool. ICCHP 2006: 635-642 - [c48]Ruiduo Yang, Sudeep Sarkar:
Detecting Coarticulation in Sign Language using Conditional Random Fields. ICPR (2) 2006: 108-112 - [c47]Pranab K. Mohanty, Sudeep Sarkar, Rangachar Kasturi:
A Non-Iterative Approach to Reconstruct Face Templates from Match Scores. ICPR (4) 2006: 598-601 - [c46]Himanshu Vajaria, Tanmoy Islam, Sudeep Sarkar, Ravi Sankar, Rangachar Kasturi:
Audio Segmentation and Speaker Localization in Meeting Videos. ICPR (2) 2006: 1150-1153 - [c45]Sunil Ravulapalli, Sudeep Sarkar:
Association of Sound to Motion in Video using Perceptual Organization. ICPR (1) 2006: 1216-1219 - 2005
- [j31]Sudeep Sarkar, P. Jonathon Phillips, Zongyi Liu, Isidro Robledo Vega, Patrick Grother, Kevin W. Bowyer:
The HumanID Gait Challenge Problem: Data Sets, Performance, and Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 27(2): 162-177 (2005) - [j30]Zongyi Liu, Sudeep Sarkar:
Effect of silhouette quality on hard problems in gait recognition. IEEE Trans. Syst. Man Cybern. Part B 35(2): 170-183 (2005) - [c44]Sunita Nayak, Sudeep Sarkar, Barbara L. Loeding:
Unsupervised Modeling of Signs Embedded in Continuous Sentences. CVPR Workshops 2005: 81 - [c43]Pranab K. Mohanty, Sudeep Sarkar, Rangachar Kasturi:
Designing A.ne Transformations based Face Recognition Algorithms. CVPR Workshops 2005: 173 - 2004
- [j29]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap:
A modeling approach for burn scar assessment using natural features and elastic property. IEEE Trans. Medical Imaging 23(10): 1325-1329 (2004) - [j28]Mark W. Powell, Sudeep Sarkar, Dmitry B. Goldgof, Krassimir Ivanov:
A methodology for extracting objective color from images. IEEE Trans. Syst. Man Cybern. Part B 34(5): 1964-1978 (2004) - [c42]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar:
Significance of Elastic Properties in Physics-Based Nonrigid Motion Modeling, A Numerical Sensitivity Analysis. CVPR Workshops 2004: 21 - [c41]Zongyi Liu, Sudeep Sarkar:
Challenges in Segmentation of Human Forms in Outdoor Video. CVPR Workshops 2004: 43 - [c40]Zongyi Liu, Laura Malave, Sudeep Sarkar:
Studies on Silhouette Quality and Gait Recognition. CVPR (2) 2004: 704-711 - [c39]Barbara L. Loeding, Sudeep Sarkar, Ayush Parashar, Arthur I. Karshmer:
Progress in Automated Computer Recognition of Sign Language. ICCHP 2004: 1079-1087 - [c38]Yong Zhang, Sangeeta J. Kundu, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap:
Elastic Face, An Anatomy-Based Biometrics Beyond Visible Cue. ICPR (2) 2004: 19-22 - [c37]Zongyi Liu, Sudeep Sarkar:
Simplest Representation Yet for Gait Recognition: Averaged Silhouette. ICPR (4) 2004: 211-214 - [c36]Daniel Majchrzak, Sudeep Sarkar:
Parallelizing Motion Segmentation by Perceptual Organization of XYT. ICPR (1) 2004: 773-776 - [c35]Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta:
Modeling Signs Using Functional Data Analysis. ICVGIP 2004: 64-69 - [c34]Yan Qiu, Dmitry B. Goldgof, Lihua Li, Sudeep Sarkar, Yong Zhang, Sorin Anton:
Correspondence Recovery In 2-View Mammography. ISBI 2004: 197-200 - [c33]Yan Qiu, Lihua Li, Dmitry B. Goldgof, Sudeep Sarkar, Sorin Anton, Robert A. Clark:
Three-dimensional finite element model for lesion correspondence in breast imaging. Image Processing 2004 - 2003
- [j27]Padmanabhan Soundararajan, Sudeep Sarkar:
An In-Depth Study of Graph Partitioning Measures for Perceptual Organization. IEEE Trans. Pattern Anal. Mach. Intell. 25(6): 642-660 (2003) - [j26]Kyong I. Chang, Kevin W. Bowyer, Sudeep Sarkar, Barnabas Victor:
Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics. IEEE Trans. Pattern Anal. Mach. Intell. 25(9): 1160-1165 (2003) - [j25]Isidro Robledo Vega, Sudeep Sarkar:
Statistical Motion Model Based on the Change of Feature Relationships: Human Gait-Based Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 25(10): 1323-1328 (2003) - [c32]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar:
Towards Physically-Sound Registration Using Object-Specific Properties for Regularization. WBIR 2003: 358-366 - 2002
- [j24]Sudeep Sarkar, Daniel Majchrzak, Kishore Korimilli:
Perceptual Organization Based Computational Model for Robust Segmentation of Moving Objects. Comput. Vis. Image Underst. 86(3): 141-170 (2002) - [c31]Yong Zhang, Lawrence O. Hall, Dmitry B. Goldgof, Sudeep Sarkar:
A constrained genetic approach for reconstructing Young's modulus of elastic objects from boundary displacement measurements. IEEE Congress on Evolutionary Computation 2002: 1003-1008 - [c30]P. Jonathon Phillips, Patrick Grother, Sudeep Sarkar, Isidro Robledo Vega, Kevin W. Bowyer:
Baseline Results for the Challenge Problem of Human ID Using Gait Analysis. FGR 2002: 137-142 - [c29]Isidro Robledo Vega, Sudeep Sarkar:
Experiments on Gait Analysis by Exploiting Nonstationarity in the Distribution of Feature Relationships. ICPR (1) 2002: 1-4 - [c28]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap:
Tracking Objects Using Recovered Physical Motion Parameters. ICPR (2) 2002: 10-13 - [c27]P. Jonathon Phillips, Sudeep Sarkar, Isidro Robledo Vega, Patrick Grother, Kevin W. Bowyer:
The Gait Identification Challenge Problem: Data Sets and Baseline Algorithm. ICPR (1) 2002: 385-388 - [c26]Barnabas Victor, Kevin W. Bowyer, Sudeep Sarkar:
An Evaluation of Face and Ear Biometrics. ICPR (1) 2002: 429-432 - [c25]Antonio Robles-Kelly, Sudeep Sarkar, Edwin R. Hancock:
A Fast Leading Eigenvector Approximation for Segmentation and Grouping. ICPR (2) 2002: 639-642 - [c24]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Min C. Shin:
Recovering Elastic Property of Soft Tissues Using 2D Image Sequences With Limited Range Data. ICPR (1) 2002: 755-758 - 2001
- [j23]Mark W. Powell, Sudeep Sarkar, Dmitry B. Goldgof:
A Simple Strategy for Calibrating the Geometry of Light Sources. IEEE Trans. Pattern Anal. Mach. Intell. 23(9): 1022-1027 (2001) - [j22]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Fusion of physically-based registration and deformation modeling for nonrigid motion analysis. IEEE Trans. Image Process. 10(11): 1659-1669 (2001) - [c23]Padmanabhan Soundararajan, Sudeep Sarkar:
Investigation of Measures for Grouping by Graph Partitioning. CVPR (1) 2001: 239-246 - [c22]Sudeep Sarkar, Isidro Robledo Vega:
Discrimination of Motion Based on Traces in the Space of Probability Functions over Feature Relations. CVPR (1) 2001: 976-983 - [c21]Amitava Bhattacharya, Subir Kumar Ghosh, Sudeep Sarkar:
Exploring an Unknown Polygonal Environment with Bounded Visibility. International Conference on Computational Science (1) 2001: 640-648 - 2000
- [j21]Sudeep Sarkar, Srikanth Chavali:
Modeling Parameter Space Behavior of Vision Systems Using Bayesian Networks. Comput. Vis. Image Underst. 79(2): 185-223 (2000) - [j20]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar, Pauline S. Powers:
A Method for Increasing Precision and Reliability of Elasticity Analysis in Complicated Burn Scar Cases. Int. J. Pattern Recognit. Artif. Intell. 14(2): 189-210 (2000) - [j19]Sudeep Sarkar, Padmanabhan Soundararajan:
Supervised Learning of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata. IEEE Trans. Pattern Anal. Mach. Intell. 22(5): 504-525 (2000) - [j18]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models. IEEE Trans. Pattern Anal. Mach. Intell. 22(5): 526-543 (2000) - [c20]Mark W. Powell, Sudeep Sarkar, Dmitry B. Goldgof:
Calibration of Light Sources. CVPR 2000: 2263-2269 - [c19]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Multiscale Combination of Physically-Based Registration and Deformation Modeling. CVPR 2000: 2422-2429 - [c18]Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap:
Model-Based Nonrigid Motion Analysis Using Natural Feature Adaptive Mesh. ICPR 2000: 3839-3843 - [c17]Daniel Majchrzak, Sudeep Sarkar, Barry Sheppard, Robin R. Murphy:
Motion Detection from Temporally Integrated Images. ICPR 2000: 3844-3847 - [c16]Kishore Korimilli, Sudeep Sarkar:
Motion Segmentation Based on Perceptual Organization of Spatio-Temporal Volumes. ICPR 2000: 3852-3857
1990 – 1999
- 1999
- [j17]Kim L. Boyer, Sudeep Sarkar:
Guest Editors' Introduction: Perceptual Organization in Computer Vision: Status, Challenges, and Potential. Comput. Vis. Image Underst. 76(1): 1-5 (1999) - [j16]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Model-based force-driven nonrigid motion recovery from sequences of range images without point correspondences. Image Vis. Comput. 17(14): 997-1007 (1999) - 1998
- [j15]Michael D. Heath, Sudeep Sarkar, Thomas A. Sanocki, Kevin W. Bowyer:
Comparison of Edge Detectors: A Methodology and Initial Study. Comput. Vis. Image Underst. 69(1): 38-54 (1998) - [j14]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar, Wen-Chen Huang:
Efficient Nonlinear Finite Element Modeling of Nonrigid Objects via Optimization of Mesh Models. Comput. Vis. Image Underst. 69(3): 330-350 (1998) - [j13]Sudeep Sarkar, Kim L. Boyer:
Quantitative Measures of Change Based on Feature Organization: Eigenvalues and Eigenvectors. Comput. Vis. Image Underst. 71(1): 110-136 (1998) - [j12]Sudeep Sarkar, Dmitry B. Goldgof:
Integrating Image Computation in Undergraduate Level Data-Structure Education. Int. J. Pattern Recognit. Artif. Intell. 12(8): 1071-1080 (1998) - [j11]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar, Pauline S. Powers:
A Vision-Based Technique for Objective Assessment of Burn Scars. IEEE Trans. Medical Imaging 17(4): 620-633 (1998) - [c15]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Nonrigid Motion Analysis Based on Dynamic Refinement of Finite Element Models. CVPR 1998: 728-734 - [c14]Sudeep Sarkar:
Learning to Form Large Groups of Salient Image Features. CVPR 1998: 780-786 - [c13]Jian Wang, Kevin W. Bowyer, Thomas A. Sanocki, Sudeep Sarkar:
The Effect of Edge Strength on Object Recognition from Edge Images. ICIP (3) 1998: 45-49 - [c12]Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar:
Model-based Nonrigid Motion Recovery from Sequences of Range Images without Point Correspondences. ICIP (2) 1998: 218-222 - [c11]Sriprakash Sainath, Sudeep Sarkar:
An Approximate Algorithm for Structural Matching of Images. ICIP (1) 1998: 798-802 - 1997
- [j10]Sudhir Borra, Sudeep Sarkar:
A Framework for Performance Characterization of Intermediate-Level Grouping Modules. IEEE Trans. Pattern Anal. Mach. Intell. 19(11): 1306-1312 (1997) - [j9]Michael D. Heath, Sudeep Sarkar, Thomas A. Sanocki, Kevin W. Bowyer:
Robust Visual Method for Assessing the Relative Performance of Edge-Detection Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 19(12): 1338-1359 (1997) - [c10]Sudhir Borra, Sudeep Sarkar:
Experimental Performance Evaluation of Feature Grouping Modules. CVPR 1997: 891-896 - 1996
- [c9]Michael D. Heath, Sudeep Sarkar, Thomas A. Sanocki, Kevin W. Bowyer:
Comparison of Edge Detectors: A Methodology and Initial Study. CVPR 1996: 143-148 - [c8]Sudeep Sarkar, Kim L. Boyer:
Quantitative Measures of Change based on Feature Organization: Eigenvalues and Eigenvectors. CVPR 1996: 478-483 - [c7]Nina Saxena, Sudeep Sarkar, N. Ranganathan:
Mapping and parallel implementation of Bayesian belief networks. SPDP 1996: 608-611 - 1995
- [j8]Sudeep Sarkar, Kim L. Boyer:
Using Perceptual Inference Networks to Manage Vision Processes. Comput. Vis. Image Underst. 62(1): 27-46 (1995) - 1994
- [b1]Sudeep Sarkar, Kim L. Boyer:
Computer Perceptual Organization in Computer Vision. Series in Machine Perception and Artificial Intelligence 12, WorldScientific 1994, ISBN 978-981-02-1832-4, pp. 1-252 - [j7]Kim L. Boyer, Sudeep Sarkar:
"On the localization performance measure and optimal edge detection". IEEE Trans. Pattern Anal. Mach. Intell. 16(1): 106-108 (1994) - [j6]Sudeep Sarkar, Kim L. Boyer:
A Computational Structure for Preattentive Perceptual Organization: Graphical Enumeration and Voting Methods. IEEE Trans. Syst. Man Cybern. Syst. 24(2): 246-267 (1994) - [c6]Sudeep Sarkar, Kim L. Boyer:
Automated design of Bayesian perceptual inference networks. CVPR 1994: 98-103 - [c5]Sudeep Sarkar, Kim L. Boyer:
Using perceptual inference networks to manage vision processes. ICPR (1) 1994: 808-810 - 1993
- [j5]Sudeep Sarkar, Kim L. Boyer:
Integration, Inference, and Management of Spatial Information Using Bayesian Networks: Perceptual Organization. IEEE Trans. Pattern Anal. Mach. Intell. 15(3): 256-274 (1993) - [j4]Sudeep Sarkar, Kim L. Boyer:
Perceptual organization in computer vision: a review and a proposal for a classificatory structure. IEEE Trans. Syst. Man Cybern. 23(2): 382-399 (1993) - 1992
- [c4]Sudeep Sarkar, Kim L. Boyer:
Perceptual organization using Bayesian networks. CVPR 1992: 251-256 - [c3]Sudeep Sarkar, Kim L. Boyer:
Computing perceptual organization using voting methods and graphical enumeration. ICPR (1) 1992: 263-267 - 1991
- [j3]Sudeep Sarkar, Kim L. Boyer:
Optimal infinite impulse response zero crossing based edge detectors. CVGIP Image Underst. 54(2): 224-243 (1991) - [j2]Sudeep Sarkar, Kim L. Boyer:
On Optimal Infinite Impulse Response Edge Detection Filters. IEEE Trans. Pattern Anal. Mach. Intell. 13(11): 1154-1171 (1991) - [j1]Kim L. Boyer, Daniel M. Wuescher, Sudeep Sarkar:
Dynamic edge warping: an experimental system for recovering disparity maps in weakly constrained systems. IEEE Trans. Syst. Man Cybern. 21(1): 143-158 (1991) - 1990
- [c2]Kim L. Boyer, Daniel M. Wuescher, Sudeep Sarkar:
Dynamic edge warping: experiments in disparity estimation under weak constraints. ICCV 1990: 471-475 - [c1]Sudeep Sarkar, Kim L. Boyer:
Optimal, efficient, recursive edge detection filters. ICPR (1) 1990: 931-936
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 13:24 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
