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ORCIDBappaditya Mandal
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j26]Adarsh Singh
, Bappaditya Mandal, Bishakha Biswas, Sankhadeep Chatterjee, Soumen Banerjee, Debasis Mitra, Robin Augustine:
Microwave Antenna-Assisted Machine Learning: A Paradigm Shift in Non-Invasive Brain Hemorrhage Detection. IEEE Access 12: 37179-37191 (2024)- [c37]Yash Deshmukh, Bappaditya Mandal, Peter Yeates, Jenni Watson:
Towards Quantification of Eye Contacts Between Trainee Doctors and Simulated Patients in Consultation Videos. AIiH (1) 2024: 209-222 - [c36]Rahul Biju, Sai Usha Nagasri Goparaju, Deepak Gangadharan, Bappaditya Mandal:
Grid LSTM based Attention Modelling for Traffic Flow Prediction. VTC Spring 2024: 1-7 - 2023
- [j25]Pramod K. B. Rangaiah, Mokhtar Kouki, Yasmina Dhouibi, Fredrik Huss, Bappaditya Mandal, Bobins Augustine, Mauricio David Perez, Robin Augustine:
Dielectric Characterization and Statistical Analysis of Ex-Vivo Burnt Human Skin Samples for Microwave Sensor Development. IEEE Access 11: 4359-4372 (2023) - [j24]Pramod K. B. Rangaiah, Roger L. Karlsson, Arvind Selvan Chezhian, Laya Joseph, Bappaditya Mandal, Bobins Augustine, Maria Mani, Mauricio David Perez, Thiemo Voigt, Robin Augustine:
Realization of a Portable Semi-Shielded Chamber for Evaluation of Fat-Intrabody Communication. IEEE Access 11: 72743-72755 (2023) - [c35]Bappaditya Mandal, Niladri B. Puhan, Varma Homi Anil:
Visual Attention Assisted Games. CoG 2023: 1-4 - [c34]Sangeeth Dev Sarangi, Bappaditya Mandal:
Deep Neural Network Based Attention Model for Structural Component Recognition. VISIGRAPP (4: VISAPP) 2023: 317-326 - [c33]Sai Usha Nagasri Goparaju, Rahul Biju, Pravalika M, Bhavana MC, Deepak Gangadharan, Bappaditya Mandal, Pradeep C:
Optimization and Performance Evaluation of Hybrid Deep Learning Models for Traffic Flow Prediction. VTC2023-Spring 2023: 1-7 - 2022
- [j23]Sapna S. Mishra, Bappaditya Mandal, Niladri B. Puhan:
MacularNet: Towards Fully Automated Attention-Based Deep CNN for Macular Disease Classification. SN Comput. Sci. 3(2): 142 (2022) - [j22]Gaurab Bhattacharya, Niladri B. Puhan, Bappaditya Mandal:
Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition. Signal Process. Image Commun. 108: 116818 (2022) - [j21]Gaurab Bhattacharya, Niladri B. Puhan, Bappaditya Mandal:
Stand-Alone Composite Attention Network for Concrete Structural Defect Classification. IEEE Trans. Artif. Intell. 3(2): 265-274 (2022) - [j20]Sapna S. Mishra, Bappaditya Mandal, Niladri B. Puhan:
Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification. IEEE Trans. Artif. Intell. 3(4): 625-635 (2022) - [c32]Akash Kaothalkar, Bappaditya Mandal, Niladri B. Puhan:
StructureNet: Deep Context Attention Learning for Structural Component Recognition. VISIGRAPP (5: VISAPP) 2022: 567-573 - 2021
- [j19]Tarakeswar Shaw, Gopinath Samanta, Debasis Mitra, Bappaditya Mandal, Robin Augustine:
Design of Metamaterial Based Efficient Wireless Power Transfer System Utilizing Antenna Topology for Wearable Devices. Sensors 21(10): 3448 (2021) - [j18]Viktor Mattsson, Leanne L. G. C. Ackermans, Bappaditya Mandal, Mauricio David Perez, Maud A. M. Vesseur, Paul M. Meaney, Jan A. Ten Bosch, Taco J. Blokhuis, Robin Augustine:
MAS: Standalone Microwave Resonator to Assess Muscle Quality. Sensors 21(16): 5485 (2021) - [j17]Rashmi Panda, Niladri B. Puhan, Bappaditya Mandal, Ganapati Panda:
GlaucoNet: Patch-Based Residual Deep Learning Network for Optic Disc and Cup Segmentation Towards Glaucoma Assessment. SN Comput. Sci. 2(2): 99 (2021) - [j16]Nazneen N. Sultana, Bappaditya Mandal, Niladri B. Puhan:
Deep Regularized Discriminative Network. SN Comput. Sci. 2(4): 235 (2021) - [j15]Gaurab Bhattacharya, Bappaditya Mandal, Niladri B. Puhan:
Multi-Deformation Aware Attention Learning for Concrete Structural Defect Classification. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3707-3713 (2021) - [j14]Gaurab Bhattacharya, Bappaditya Mandal, Niladri B. Puhan:
Interleaved Deep Artifacts-Aware Attention Mechanism for Concrete Structural Defect Classification. IEEE Trans. Image Process. 30: 6957-6969 (2021) - [c31]Konrad-Felix Krentz, Madhushanka Padmal, Bappaditya Mandal, Robin Augustine, Thiemo Voigt:
Enabling Offline Tuning of Fat Channel Communication. SenSys 2021: 524-525 - 2020
- [j13]Sushree Sangeeta Behera, Sapna S. Mishra, Bappaditya Mandal, Niladri B. Puhan:
Variance-guided attention-based twin deep network for cross-spectral periocular recognition. Image Vis. Comput. 104: 104016 (2020) - [c30]Sushree Sangeeta Behera, Bappaditya Mandal, Niladri B. Puhan:
Twin Deep Convolutional Neural Network-based Cross-spectral Periocular Recognition. NCC 2020: 1-6 - [c29]Thiemo Voigt, Christian Rohner, Wenqing Yan, Laya Joseph, Sam Hylamia, Noor Badariah Asan, Bappaditya Mandal, Mauricio David Perez, Robin Augustine:
Towards secure backscatter-based in-body sensor networks: poster abstract. SenSys 2020: 741-742
2010 – 2019
- 2019
- [j12]Sapna S. Mishra, Bappaditya Mandal, Niladri B. Puhan:
Multi-Level Dual-Attention Based CNN for Macular Optical Coherence Tomography Classification. IEEE Signal Process. Lett. 26(12): 1793-1797 (2019) - [c28]Andrew Cook, Bappaditya Mandal, Donna Berry, Matthew Johnson:
Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism. DSAA 2019: 504-510 - 2018
- [j11]Nazneen N. Sultana, Bappaditya Mandal, Niladri B. Puhan:
Deep residual network with regularised fisher framework for detection of melanoma. IET Comput. Vis. 12(8): 1096-1104 (2018) - [c27]Nazneen N. Sultana, Niladri Bihari Puhan, Bappaditya Mandal:
DeepPCA Based Objective Function for Melanoma Detection. ICIT 2018: 68-72 - [c26]Bappaditya Mandal, Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso, Paolo Remagnino:
Deep Residual Network with Subclass Discriminant Analysis for Crowd Behavior Recognition. ICIP 2018: 938-942 - [c25]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal:
Deep Adaptive Temporal Pooling for Activity Recognition. ACM Multimedia 2018: 1829-1837 - [i10]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal:
Deep Adaptive Temporal Pooling for Activity Recognition. CoRR abs/1808.07272 (2018) - [i9]Sushree Sangeeta Behera, Bappaditya Mandal, Niladri B. Puhan:
Cross-spectral Periocular Recognition: A Survey. CoRR abs/1812.01465 (2018) - [i8]Bappaditya Mandal, Niladri B. Puhan, Avijit Verma:
Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data. CoRR abs/1812.10179 (2018) - 2017
- [j10]Erik Cambria, Anupam Chattopadhyay, Eike Linn, Bappaditya Mandal, Bebo White:
Storages Are Not Forever. Cogn. Comput. 9(5): 646-658 (2017) - [j9]Paritosh Pandey, Akella Deepthi, Bappaditya Mandal, Niladri B. Puhan:
FoodNet: Recognizing Foods Using Ensemble of Deep Networks. IEEE Signal Process. Lett. 24(12): 1758-1762 (2017) - [j8]Anirban Chakraborty, Bappaditya Mandal, Junsong Yuan:
Person Reidentification Using Multiple Egocentric Views. IEEE Trans. Circuits Syst. Video Technol. 27(3): 484-498 (2017) - [j7]Bappaditya Mandal, Liyuan Li, Gang Sam Wang, Jie Lin:
Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State. IEEE Trans. Intell. Transp. Syst. 18(3): 545-557 (2017) - [c24]Mona Ragab Sayed, Rosary Yuting Lim, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Terence Sim:
Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance. AAAI Spring Symposia 2017 - [c23]Ana Garcia del Molino, Bappaditya Mandal, Jie Lin, Joo-Hwee Lim, Vigneshwaran Subbaraju, Vijay Chandrasekhar:
VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. CLEF (Working Notes) 2017 - [i7]Bappaditya Mandal, David Lee, Nizar Ouarti:
Distinguishing Posed and Spontaneous Smiles by Facial Dynamics. CoRR abs/1701.01573 (2017) - [i6]Paritosh Pandey, Akella Deepthi, Bappaditya Mandal, Niladri B. Puhan:
FoodNet: Recognizing Foods Using Ensemble of Deep Networks. CoRR abs/1709.09429 (2017) - 2016
- [j6]Bappaditya Mandal, Zhikai Wang, Liyuan Li, Ashraf A. Kassim:
Performance evaluation of local descriptors and distance measures on benchmarks and first-person-view videos for face identification. Neurocomputing 184: 107-116 (2016) - [c22]Bappaditya Mandal, David Lee, Nizar Ouarti:
Distinguishing Posed and Spontaneous Smiles by Facial Dynamics. ACCV Workshops (1) 2016: 552-566 - [c21]Bappaditya Mandal, Nizar Ouarti:
Spontaneous Versus Posed Smiles - Can We Tell the Difference? CVIP (2) 2016: 261-271 - [c20]Sibo Song, Vijay Chandrasekhar, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, Giduthuri Sateesh Babu, Phyo Phyo San, Ngai-Man Cheung:
Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition. CVPR Workshops 2016: 378-385 - [c19]Bappaditya Mandal:
Face recognition: Perspectives from the real world. ICARCV 2016: 1-5 - [c18]Bappaditya Mandal:
Appearance based robot activity recognition system. ICARCV 2016: 1-5 - [c17]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin:
Egocentric activity recognition with multimodal fisher vector. ICASSP 2016: 2717-2721 - [c16]Anirban Chakraborty, Bappaditya Mandal, Hamed Kiani Galoogahi:
Person re-identification using multiple first-person-views on wearable devices. WACV 2016: 1-8 - [i5]Sibo Song, Ngai-Man Cheung, Vijay Chandrasekhar, Bappaditya Mandal, Jie Lin:
Egocentric Activity Recognition with Multimodal Fisher Vector. CoRR abs/1601.06603 (2016) - [i4]Bappaditya Mandal:
Appearance Based Robot and Human Activity Recognition System. CoRR abs/1602.01608 (2016) - [i3]Bappaditya Mandal:
Face Recognition: Perspectives from the Real-World. CoRR abs/1602.02999 (2016) - [i2]Bappaditya Mandal:
Improved Eigenfeature Regularization for Face Identification. CoRR abs/1602.03256 (2016) - [i1]Bappaditya Mandal, Nizar Ouarti:
Spontaneous vs. Posed smiles - can we tell the difference? CoRR abs/1605.07026 (2016) - 2015
- [c15]Qianli Xu, Michal Mukawa, Liyuan Li, Joo-Hwee Lim, Cheston Tan, Shue-Ching Chia, Tian Gan, Bappaditya Mandal:
Exploring users' attitudes towards social interaction assistance on Google Glass. AH 2015: 9-12 - [c14]Bappaditya Mandal, Liyuan Li, Vijay Chandrasekhar, Joo-Hwee Lim:
Whole space subclass discriminant analysis for face recognition. ICIP 2015: 329-333 - [c13]Ana Garcia del Molino, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim:
Organizing and retrieving episodic memories from first person view. ICME Workshops 2015: 1-6 - [c12]Shue-Ching Chia, Bappaditya Mandal, Qianli Xu, Liyuan Li, Joo-Hwee Lim:
Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones. MobileHCI Adjunct 2015: 750-757 - [c11]Tian Gan, Yongkang Wong, Bappaditya Mandal, Vijay Chandrasekhar, Mohan S. Kankanhalli:
Multi-sensor Self-Quantification of Presentations. ACM Multimedia 2015: 601-610 - 2014
- [c10]Bappaditya Mandal, Shue-Ching Chia, Liyuan Li, Vijay Chandrasekhar, Cheston Tan, Joo-Hwee Lim:
A Wearable Face Recognition System on Google Glass for Assisting Social Interactions. ACCV Workshops (3) 2014: 419-433 - [c9]Bappaditya Mandal, Zhikai Wang, Liyuan Li, Ashraf A. Kassim:
Evaluation of Descriptors and Distance Measures on Benchmarks and First-Person-View Videos for Face Identification. ACCV Workshops (1) 2014: 585-599 - [c8]Wu Min, Xiao Li, Cheston Tan, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim:
Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation. CVPR Workshops 2014: 541-548 - [c7]Tian Gan, Yongkang Wong, Bappaditya Mandal, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim, Mohan S. Kankanhalli:
Recovering Social Interaction Spatial Structure from Multiple First-Person Views. SAM@MM 2014: 7-12 - 2013
- [j5]Haiping Lu, Yaozhang Pan, Bappaditya Mandal, How-Lung Eng, Cuntai Guan, Derrick Wei Shih Chan:
Quantifying Limb Movements in Epileptic Seizures Through Color-Based Video Analysis. IEEE Trans. Biomed. Eng. 60(2): 461-469 (2013) - 2012
- [j4]Bappaditya Mandal, How-Lung Eng:
Regularized Discriminant Analysis for Holistic Human Activity Recognition. IEEE Intell. Syst. 27(1): 21-31 (2012) - [c6]Bappaditya Mandal, How-Lung Eng, Haiping Lu, Derrick Wei Shih Chan, Yen-Ling Ng:
Non-intrusive head movement analysis of videotaped seizures of epileptic origin. EMBC 2012: 6060-6063 - 2011
- [c5]Haiping Lu, How-Lung Eng, Bappaditya Mandal, Derrick Wei Shih Chan, Yen-Ling Ng:
Markerless video analysis for movement quantification in pediatric epilepsy monitoring. EMBC 2011: 8275-8278 - 2010
- [j3]Bappaditya Mandal, Xudong Jiang, How-Lung Eng, Alex C. Kot:
Prediction of eigenvalues and regularization of eigenfeatures for human face verification. Pattern Recognit. Lett. 31(8): 717-724 (2010) - [c4]Bappaditya Mandal, How-Lung Eng:
3-parameter based eigenfeature regularization for human activity recognition. ICASSP 2010: 954-957
2000 – 2009
- 2009
- [j2]Xudong Jiang, Bappaditya Mandal, Alex ChiChung Kot:
Complete discriminant evaluation and feature extraction in kernel space for face recognition. Mach. Vis. Appl. 20(1): 35-46 (2009) - 2008
- [j1]Xudong Jiang, Bappaditya Mandal, Alex ChiChung Kot:
Eigenfeature Regularization and Extraction in Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 383-394 (2008) - [c3]Bappaditya Mandal, Xudong Jiang, Alex ChiChung Kot:
Verification of human faces using predicted eigenvalues. ICPR 2008: 1-4 - 2007
- [c2]Xudong Jiang, Bappaditya Mandal, Alex C. Kot:
Face Recognition Based on Discriminant Evaluation in the Whole Space. ICASSP (2) 2007: 245-248 - [c1]Bappaditya Mandal, Xudong Jiang, Alex ChiChung Kot:
Kernel Fisher Discriminant Analysis in Full Eigenspace. IPCV 2007: 235-241
Coauthor Index
aka: Niladri Bihari Puhan
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last updated on 2024-10-08 20:30 CEST by the dblp team
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