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Number of items: 24.

Article

Sarangi, S and Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410 (2023) Deep Neural Network Based Attention Model for Structural Component Recognition. Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.

Bhattacharya, G, Puhan, NB and Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410 (2022) Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition. Signal Processing: Image Communication, 108. 116818 - 116818.

Mishra, SS, Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410 and Puhan, NB (2022) MacularNet: Towards Fully Automated Attention-Based Deep CNN for Macular Disease Classification. SN Computer Science, 3 (2).

Bhattacharya, G, Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410 and Puhan, NB (2021) Interleaved Deep Artifacts-Aware Attention Mechanism for Concrete Structural Defect Classification. IEEE Trans Image Process, 30. 6957 - 6969.

Sultana, NN, Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410 and Puhan, NB (2021) Deep Regularized Discriminative Network. SN Computer Science, 2 (235). pp. 1-9.

Panda, R, Puhan, NB, Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410 and Panda, G (2021) GlaucoNet: Patch-Based Residual Deep Learning Network for Optic Disc and Cup Segmentation Towards Glaucoma Assessment. SN Computer Science, 2 (99). pp. 1-17.

Mishra, SS, Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410 and Puhan, NB (2019) Multi-level Dual-attention Based CNN for Macular Optical Coherence Tomography Classification. IEEE Signal Processing Letters, 26 (12). pp. 1793-1797.

Behera, SS, Mandal, B and Puhan, NB (2019) Cross-spectral Periocular Recognition: a Survey. Emerging Research in Electronics, Computer Science and Technology. Lecture Notes in Electrical Engineering, 545.

Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410, Puhan, NB and Verma, A (2019) Deep Convolutional Generative Adversarial Network-Based Food Recognition Using Partially Labeled Data. IEEE Sensors Letters, 3 (2).

Sultana, N, Mandal, B and Puhan, NB (2018) Deep Residual Network with Regularized Fisher Framework for Detection of Melanoma. IET Computer Vision, 12 (8). pp. 1096-1104.

Song, S, Cheung, N-M, Chandrasekhar, V and Mandal, B (2018) Deep Adaptive Temporal Pooling for Activity Recognition. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries.

Mandal, B, Fajtl, J, Argyriou, V, Monekosso, D and Remagnino, P (2018) Deep Residual Network With Subclass Discriminant Analysis For Crowd Behavior Recognition. 2018 25th IEEE International Conference on Image Processing (ICIP).

Mandal, B, Molino, AG, Jie, L, Lim, J-H, Subbaraju, V and Chandrasekhar, V (2017) I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization,. ImageCLEF 2017.

Mandal, B, Xu, Q, Ching, S, Li, L, Mukawa, M and Tan, C (2016) SocioGlass: Social interaction assistance with face recognition on google glass. Journal of Scientific Phone Apps and Mobile Devices, 2 (7).

Xu, Q, Ching, S, Lim, J-H, Yiqun, L, Mandal, B and Li, L (2016) MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence. Journal of Scientific Phone Apps and Mobile Devices, 2 (3).

Lu, HP, Eng, H-L, Mandal, B, Chan, DWS and Ng, Y-L (2011) Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring. Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11). pp. 8275-8278.

Book Section

Mandal, B, Jiang, X-D and Kot, A (2008) Kernel Fisher Discriminant Analysis in Full Eigenspace. In: Proceedings of the 2007 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2007, June 25-28, 2007, Las Vegas Nevada,. CSREA Press, pp. 235-241.

Jiang, X-D, Mandal, B and Kot, A (2005) Improved Bayesian Approach for Face Recognition. In: 2005 5th International Conference on Information Communications & Signal Processing, Bangkok, 2005. IEEE, pp. 162-166.

Conference or Workshop Item

Kaothalkar, A, Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410 and Puhan, N (2022) StructureNet: Deep Context Attention Learning for Structural Component Recognition. In: 17th International Conference on Computer Vision Theory and Applications.

Gonuguntla, N, Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410 and Puhan, NB (2019) Enhanced Deep Video Summarization Network. In: 30th British Machine Vision Conference, 9-12 Sep 2019, Cardiff.

Mainwaring, P and Mandal, B ORCID: https://orcid.org/0000-0001-8417-1410 (2019) Improved Lifelog Ego-centric Video Summarization Using Ensemble of Deep Learned Object Features. In: 30th British Machine Vision Conference, 9-12 Sep 2019, Cardiff. (In Press)

Mandal, B and Ouarti, N (2016) Spontaneous vs. Posed smiles - can we tell the difference? In: International Conference on Computer Vision and Image Processing.

Ching, S, Mandal, B, Xu, Q, Li, L and Lim, J-H (2015) Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones. In: 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, August 24 - 27, 2015, Copenhagen, Denmark.

Q, X, Mukawa, M, Li, L, Lim, J-H, Tan, C, Ching, S, Tian, G and Mandal, B (2015) Exploring Users Attitudes towards Social Interaction Assistance on Google Glass. In: 6th Augmented Human International Conference, March 09 - 11, 2015, Singapore.

This list was generated on Wed Nov 1 01:02:53 2023 UTC.