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ORCIDSubhasis Chaudhuri
Person information
- affiliation: Indian Institute of Technology, Bombay, India
- award: Humboldt Prize
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2020 – today
- 2023
[c161]Avirup Mandal, Parag Chaudhuri, Subhasis Chaudhuri:
Real-Time Physics-Based Mesh Deformation with Haptic Feedback and Material Anisotropy. VISIGRAPP (1: GRAPP) 2023: 153-161- [i34]Shirsha Bose, Ritesh Sur Chowdhury, Debabrata Pal, Shivashish Bose, Biplab Banerjee, Subhasis Chaudhuri:
MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation. CoRR abs/2302.09411 (2023) - 2022
- [j80]Sayan Rakshit
, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri:
FRIDA - Generative feature replay for incremental domain adaptation. Comput. Vis. Image Underst. 217: 103367 (2022) - [j79]Avirup Mandal, Parag Chaudhuri, Subhasis Chaudhuri:
Interactive Physics-Based Virtual Sculpting with Haptic Feedback. Proc. ACM Comput. Graph. Interact. Tech. 5(1): 9:1-9:20 (2022) - [c160]Sayan Rakshit, Balasubramanian S, Hmrishav Bandyopadhyay, Piyush Bharambe, Sai Nandan Desetti, Biplab Banerjee, Subhasis Chaudhuri:
Open-Set Domain Adaptation Under Few Source-Domain Labeled Samples. CVPR Workshops 2022: 4028-4037 - [c159]Priyadarshini Kumari, Subhasis Chaudhuri:
Enhancing Haptic Distinguishability of Surface Materials With Boosting Technique. HAPTICS 2022: 1-6 - [c158]Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri:
3D-NVS: A 3D Supervision Approach for Next View Selection. ICPR 2022: 3929-3936 - [c157]Avirup Mandal, Parag Chaudhuri, Subhasis Chaudhuri:
Simulating Fracture in Anisotropic Materials Containing Impurities. MIG 2022: 3:1-3:10 - [c156]Aishwarya Agarwal, Biplab Banerjee, Fabio Cuzzolin, Subhasis Chaudhuri:
Semantics-Driven Generative Replay for Few-Shot Class Incremental Learning. ACM Multimedia 2022: 5246-5254 - [c155]Avirup Mandal, Parag Chaudhuri, Subhasis Chaudhuri:
Artist Controlled Fracture Design Using Impurity Maps. SIGGRAPH Posters 2022: 6:1-6:2 - [i33]Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri:
Prototypical quadruplet for few-shot class incremental learning. CoRR abs/2211.02947 (2022) - 2021
- [j78]Saurabh Kumar, Biplab Banerjee, Subhasis Chaudhuri:
Improved Landcover Classification using Online Spectral Data Hallucination. Neurocomputing 439: 316-326 (2021) - [j77]S. Divakar Bhat, Biplab Banerjee, Subhasis Chaudhuri, Avik Bhattacharya:
CILEA-NET: Curriculum-Based Incremental Learning Framework for Remote Sensing Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5879-5890 (2021) - [c154]S. Divakar Bhat, Biplab Banerjee, Subhasis Chaudhuri:
SemGIF: A Semantics Guided Incremental Few-shot Learning Framework with Generative Replay. BMVC 2021: 169 - [c153]Rupak Bose, Vikrant Rangnekar, Biplab Banerjee, Subhasis Chaudhuri:
Zero-Shot Remote Sensing Image Super-Resolution Based on Image Continuity and Self Tessellations. GCPR 2021: 649-662 - [c152]T. M. Feroz Ali, Subhasis Chaudhuri:
Cross-view kernel similarity metric learning using pairwise constraints for person re-identification. ICVGIP 2021: 7:1-7:9 - [c151]Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri:
S3 DMT-Net: improving soft sharing based multi-task CNN using task-specific distillation and cross-task interactions. ICVGIP 2021: 16:1-16:9 - [c150]Priyadarshini Kumari, Siddhartha Chaudhuri, Vivek S. Borkar, Subhasis Chaudhuri:
A Unified Batch Selection Policy for Active Metric Learning. ECML/PKDD (2) 2021: 599-616 - [c149]Avirup Mandal, Parag Chaudhuri, Subhasis Chaudhuri:
Scalable Visual Simulation of Ductile and Brittle Fracture. SIGGRAPH Posters 2021: 41:1-41:2 - [c148]Ruchika Chavhan, Ankit Jha, Biplab Banerjee, Subhasis Chaudhuri:
ADA-AT/DT: An Adversarial Approach for Cross-Domain and Cross-Task Knowledge Transfer. WACV 2021: 3501-3510 - [i32]Priyadarshini Kumari, Siddhartha Chaudhuri, Vivek S. Borkar, Subhasis Chaudhuri:
Maximizing Conditional Entropy for Batch-Mode Active Learning of Perceptual Metrics. CoRR abs/2102.07365 (2021) - [i31]Avirup Mandal, Parag Chaudhuri, Subhasis Chaudhuri:
Remeshing-Free Graph-Based Finite Element Method for Ductile and Brittle Fracture. CoRR abs/2103.14870 (2021) - [i30]Amit More, Subhasis Chaudhuri:
Deep Learning based Novel View Synthesis. CoRR abs/2107.06812 (2021) - [i29]Avirup Mandal, Parag Chaudhuri, Subhasis Chaudhuri:
Physics-based Mesh Deformation with Haptic Feedback and Material Anisotropy. CoRR abs/2112.04362 (2021) - [i28]Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri:
FRIDA - Generative Feature Replay for Incremental Domain Adaptation. CoRR abs/2112.14316 (2021) - 2020
- [c147]Satyam Mohla, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri:
FusAtNet: Dual Attention based SpectroSpatial Multimodal Fusion Network for Hyperspectral and LiDAR Classification. CVPR Workshops 2020: 416-425 - [c146]Ankit Jha, Awanish Kumar, Biplab Banerjee, Subhasis Chaudhuri:
AdaMT-Net: An Adaptive Weight Learning Based Multi-Task Learning Model For Scene Understanding. CVPR Workshops 2020: 3027-3035 - [c145]Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri:
Multi-source Open-Set Deep Adversarial Domain Adaptation. ECCV (26) 2020: 735-750 - [c144]Suhas Kakade, Subhasis Chaudhuri:
Perceptually Compressive Communication of Interactive Telehaptic Signal. EuroHaptics 2020: 480-488 - [c143]Ankit Jha, Awanish Kumar, Shivam Pande, Biplab Banerjee, Subhasis Chaudhuri:
MT-UNET: A Novel U-Net Based Multi-Task Architecture For Visual Scene Understanding. ICIP 2020: 2191-2195 - [c142]Ruchika Chavhan, Biplab Banerjee, Xiao Xiang Zhu, Subhasis Chaudhuri:
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning. ICPR 2020: 4918-4925 - [c141]Ushasi Chaudhuri, Syomantak Chaudhuri, Subhasis Chaudhuri:
GuCNet: A Guided Clustering-based Network for Improved Classification. ICPR 2020: 7335-7342 - [c140]Sayan Banerjee, S. Divakar Bhat, Subhasis Chaudhuri, Rajbabu Velmurugan:
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation. ICPR 2020: 8431-8438 - [c139]Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri:
Batch Decorrelation for Active Metric Learning. IJCAI 2020: 2255-2261 - [c138]Omkar Gune, Biplab Banerjee, Subhasis Chaudhuri, Fabio Cuzzolin:
Generalized Zero-Shot Learning using Generated Proxy Unseen Samples and Entropy Separation. ACM Multimedia 2020: 4262-4270 - [c137]Royston Rodrigues, Neha Bhargava, Rajbabu Velmurugan, Subhasis Chaudhuri:
Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection. WACV 2020: 2615-2623 - [c136]B. V. S. Anusha, Sayan Banerjee, Subhasis Chaudhuri:
DeFraudNet: End2End Fingerprint Spoof Detection using Patch Level Attention. WACV 2020: 2684-2693 - [i27]B. V. S. Anusha, Sayan Banerjee, Subhasis Chaudhuri:
DeFraudNet: End2End Fingerprint Spoof Detection using Patch Level Attention. CoRR abs/2002.08214 (2020) - [i26]Omkar Gune, Mainak Pal, Preeti Mukherjee, Biplab Banerjee, Subhasis Chaudhuri:
Generative Model-driven Structure Aligning Discriminative Embeddings for Transductive Zero-shot Learning. CoRR abs/2005.04492 (2020) - [i25]Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri:
Batch Decorrelation for Active Metric Learning. CoRR abs/2005.10008 (2020) - [i24]Priyadarshini Kumari, Subhasis Chaudhuri:
Haptic Rendering of Thin, Deformable Objects with Spatially Varying Stiffness. CoRR abs/2005.11799 (2020) - [i23]Mayank Kumar Singh, Sayan Banerjee, Subhasis Chaudhuri:
NENET: An Edge Learnable Network for Link Prediction in Scene Text. CoRR abs/2005.12147 (2020) - [i22]Satyam Mohla, Anshul Nasery, Biplab Banerjee, Subhasis Chaudhuri:
CognitiveCNN: Mimicking Human Cognitive Models to resolve Texture-Shape Bias. CoRR abs/2006.14722 (2020) - [i21]Ruchika Chavhan, Biplab Banerjee, Xiao Xiang Zhu, Subhasis Chaudhuri:
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning. CoRR abs/2010.01999 (2020) - [i20]Priyadarshini Kumari, Subhasis Chaudhuri:
Boosted Semantic Embedding based Discriminative Feature Generation for Texture Analysis. CoRR abs/2010.02002 (2020) - [i19]Praseedha Krishnan Aniyath, Sreeni Kamalalayam Gopalan, Priyadarshini Kumari, Subhasis Chaudhuri:
Combined Hapto-Visual and Auditory Rendering of Cultural Heritage Objects. CoRR abs/2010.02015 (2020) - [i18]Priyadarshini Kumari, Sreeni K. G, Subhasis Chaudhuri:
Scalable Rendering of Variable Density Point Cloud Data. CoRR abs/2010.02822 (2020) - [i17]K. G. Sreeni, Priyadarshini Kumari, A. K. Praseedha, Subhasis Chaudhuri:
Haptic Rendering of Cultural Heritage Objects at Different Scales. CoRR abs/2010.03169 (2020) - [i16]Ushasi Chaudhuri, Syomantak Chaudhuri, Subhasis Chaudhuri:
GuCNet: A Guided Clustering-based Network for Improved Classification. CoRR abs/2010.05212 (2020) - [i15]Sayan Banerjee, S. Divakar Bhat, Subhasis Chaudhuri, Rajbabu Velmurugan:
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation. CoRR abs/2010.08800 (2020) - [i14]Kumar Ashutosh, Saurabh Kumar, Subhasis Chaudhuri:
3D-NVS: A 3D Supervision Approach for Next View Selection. CoRR abs/2012.01743 (2020)
2010 – 2019
- 2019
- [j76]Vineet Gokhale, Jayakrishnan Nair, Subhasis Chaudhuri, Jan Fesl:
On QoS-compliant telehaptic communication over shared networks. Comput. Networks 165 (2019) - [j75]Nagma Khan, Ushasi Chaudhuri, Biplab Banerjee, Subhasis Chaudhuri:
Graph convolutional network for multi-label VHR remote sensing scene recognition. Neurocomputing 357: 36-46 (2019) - [j74]Amit More, Subhasis Chaudhuri:
A Pseudo-likelihood Approach for Geo-localization of Events from Crowd-sourced Sensor-Metadata. ACM Trans. Multim. Comput. Commun. Appl. 15(3): 75:1-75:26 (2019) - [c135]Omkar Gune, Amit More, Biplab Banerjee, Subhasis Chaudhuri:
Generalized Zero-shot Learning using Open Set Recognition. BMVC 2019: 213 - [c134]Sayan Rakshit, Ushasi Chaudhuri, Biplab Banerjee, Subhasis Chaudhuri:
Class Consistency Driven Unsupervised Deep Adversarial Domain Adaptation. CVPR Workshops 2019: 657-666 - [c133]Sayan Rakshit, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri:
Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning. GCPR 2019: 485-498 - [c132]Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri:
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets. WHC 2019: 163-168 - [c131]T. M. Feroz Ali, Subhasis Chaudhuri:
A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-Identification. ICCV Workshops 2019: 1848-1857 - [c130]Shivam Pande, Avinandan Banerjee, Saurabh Kumar, Biplab Banerjee, Subhasis Chaudhuri:
An Adversarial Approach to Discriminative Modality Distillation for Remote Sensing Image Classification. ICCV Workshops 2019: 4571-4580 - [c129]Sayan Banerjee, Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan:
CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional Network. IJCAI 2019: 673-679 - [c128]Saurabh Kumar, Yagnesh Badiyani, Subhasis Chaudhuri:
DeepQuantizedCS: Quantized Compressive Video Recovery using Deep Convolutional Networks. ACM Multimedia 2019: 2396-2404 - [i13]Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri:
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets. CoRR abs/1905.03302 (2019) - [i12]Royston Rodrigues, Neha Bhargava, Rajbabu Velmurugan, Subhasis Chaudhuri:
Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection. CoRR abs/1908.04321 (2019) - [i11]Saurabh Kumar, Biplab Banerjee, Subhasis Chaudhuri:
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification. CoRR abs/1908.10559 (2019) - [i10]Rudrajit Das, Subhasis Chaudhuri:
On the Separability of Classes with the Cross-Entropy Loss Function. CoRR abs/1909.06930 (2019) - [i9]T. M. Feroz Ali, Subhasis Chaudhuri:
Cross-View Kernel Similarity Metric Learning Using Pairwise Constraints for Person Re-identification. CoRR abs/1909.11316 (2019) - [i8]T. M. Feroz Ali, Subhasis Chaudhuri:
A Semi-Supervised Maximum Margin Metric Learning Approach for Small Scale Person Re-identification. CoRR abs/1910.03905 (2019) - [i7]T. M. Feroz Ali, Kalpesh K. Patel, Rajbabu Velmurugan, Subhasis Chaudhuri:
Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification. CoRR abs/1910.03923 (2019) - 2018
- [b3]Subhasis Chaudhuri, Amit Bhardwaj:
Kinesthetic Perception - A Machine Learning Approach. Studies in Computational Intelligence 748, Springer 2018, ISBN 978-981-10-6691-7, pp. 1-134 - [j73]Shaunak De, Debanshu Ratha, Dikshya Ratha, Avik Bhattacharya, Subhasis Chaudhuri:
Tensorization of Multifrequency PolSAR Data for Classification Using an Autoencoder Network. IEEE Geosci. Remote. Sens. Lett. 15(4): 542-546 (2018) - [j72]Biplab Banerjee, Subhasis Chaudhuri:
Scene Recognition From Optical Remote Sensing Images Using Mid-Level Deep Feature Mining. IEEE Geosci. Remote. Sens. Lett. 15(7): 1080-1084 (2018) - [j71]Shaunak De, Lorenzo Bruzzone, Avik Bhattacharya, Francesca Bovolo, Subhasis Chaudhuri:
A Novel Technique Based on Deep Learning and a Synthetic Target Database for Classification of Urban Areas in PolSAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(1): 154-170 (2018) - [j70]Bindita Chaudhuri, Begüm Demir, Subhasis Chaudhuri, Lorenzo Bruzzone:
Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method. IEEE Trans. Geosci. Remote. Sens. 56(2): 1144-1158 (2018) - [c127]Omkar Gune, Biplab Banerjee, Subhasis Chaudhuri:
Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning. BMVC 2018: 218 - [c126]Saurabh Kumar, Subhasis Chaudhuri, Biplab Banerjee, T. M. Feroz Ali:
Onboard Hyperspectral Image Compression Using Compressed Sensing and Deep Learning. ECCV Workshops (2) 2018: 30-42 - [c125]T. M. Feroz Ali, Subhasis Chaudhuri:
Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification. ECCV (13) 2018: 123-141 - [c124]Avirup Mandal, Dwaipayan Sardar, Subhasis Chaudhuri:
Haptic Rendering of Solid Object Submerged in Flowing Fluid with Environment Dependent Texture. EuroHaptics (2) 2018: 390-403 - [c123]Vineet Gokhale, Jayakrishnan Nair, Subhasis Chaudhuri, Suhas Kakade:
Network-Aware Adaptive Sampling for Low Bitrate Telehaptic Communication. EuroHaptics (2) 2018: 660-672 - [c122]Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan:
Co-Segmentation of Non-Homogeneous Image Sets. ICIP 2018: 266-270 - [c121]Sanatan Sharma, Akashdeep Goel, Omkar Gune, Biplab Banerjee, Subhasis Chaudhuri:
Class Specific Coders for Hyper-Spectral Image Classification. ICIP 2018: 3304-3308 - [c120]T. M. Feroz Ali, Rajbabu Velmurugan, Kalpesh K. Patel, Subhasis Chaudhuri:
Multiple Kernel Fisher Discriminant Metric Learning for Person Re-identification. ICVGIP 2018: 3:1-3:9 - [c119]Omkar Gune, Meet Vora, Biplab Banerjee, Subhasis Chaudhuri:
Zero-shot Learning using Graph Regularized Latent Discriminative Cross-domain Triplets. ICVGIP 2018: 5:1-5:9 - [c118]Muhammed Fasil C., Subhasis Chaudhuri:
Moving Average Recurrent Neural Network Model for Video-based Person Re-Identification. ICVGIP 2018: 8:1-8:9 - [c117]Amit More, Subhasis Chaudhuri:
A Neural Network Based Approach for Geo-Localizing Events in Crowd Sourced Videos. ICVGIP 2018: 12:1-12:9 - [c116]Saurabh Kumar, Subhasis Chaudhuri:
A Fast Method for Very Low Bit-Rate Coding of Hyperspectral Images. ICVGIP 2018: 18:1-18:7 - [c115]Ashish Goyal, Neha Bhargava, Subhasis Chaudhuri, Rajbabu Velmurugan:
Hierarchical Deep Network for Group Discovery and Multi-level Activity Recognition. ICVGIP 2018: 37:1-37:7 - [c114]Sayan Banerjee, Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan:
Image Co-segmentation using Graph Convolution Neural Network. ICVGIP 2018: 57:1-57:9 - [p2]K. G. Sreeni, Subhasis Chaudhuri:
Haptic Rendering of Oriented Point Cloud of Heritage Objects Using Proxy Projection. Heritage Preservation 2018: 131-142 - [e2]Bhabatosh Chanda, Subhasis Chaudhuri, Santanu Chaudhury:
Heritage Preservation - A Computational Approach. Springer 2018, ISBN 978-981-10-7220-8 [contents] - [i6]Vineet Gokhale, Jayakrishnan Nair, Subhasis Chaudhuri, Jan Fesl:
On QoS-Compliant Telehaptic Communication over Shared Networks. CoRR abs/1805.10831 (2018) - [i5]T. M. Feroz Ali, Subhasis Chaudhuri:
Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification. CoRR abs/1807.10908 (2018) - 2017
- [j69]Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan:
An image texture insensitive method for saliency detection. J. Vis. Commun. Image Represent. 43: 212-226 (2017) - [j68]Biplab Banerjee, Subhasis Chaudhuri:
Hierarchical Subspace Learning Based Unsupervised Domain Adaptation for Cross-Domain Classification of Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(11): 5099-5109 (2017) - [j67]Vineet Gokhale, Jayakrishnan Nair, Subhasis Chaudhuri:
Congestion Control for Network-Aware Telehaptic Communication. ACM Trans. Multim. Comput. Commun. Appl. 13(2): 17:1-17:26 (2017) - [c113]Vineet Gokhale, Jayakrishnan Nair, Subhasis Chaudhuri:
Teleoperation over a shared network: When does it work? HAVE 2017: 1-6 - [i4]Neha Bhargava, Subhasis Chaudhuri:
An Integrated Approach to Crowd Video Analysis: From Tracking to Multi-level Activity Recognition. CoRR abs/1710.11087 (2017) - [i3]Neha Bhargava, Subhasis Chaudhuri:
Spatio-temporal interaction model for crowd video analysis. CoRR abs/1710.11354 (2017) - 2016
- [j66]Bindita Chaudhuri, Begüm Demir, Lorenzo Bruzzone, Subhasis Chaudhuri:
Region-Based Retrieval of Remote Sensing Images Using an Unsupervised Graph-Theoretic Approach. IEEE Geosci. Remote. Sens. Lett. 13(7): 987-991 (2016) - [c112]Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan:
Image Co-segmentation Using Maximum Common Subgraph Matching and Region Co-growing. ECCV (6) 2016: 736-752 - [c111]Vineet Gokhale, Jayakrishnan Nair, Subhasis Chaudhuri:
Opportunistic adaptive haptic sampling on forward channel in telehaptic communication. HAPTICS 2016: 217-222 - [c110]Priyadarshini Kumari, Subhasis Chaudhuri:
Haptic Rendering of Thin, Deformable Objects with Spatially Varying Stiffness. EuroHaptics (1) 2016: 483-492 - [c109]Neha Bhargava, Subhasis Chaudhuri:
MPMF: multi-part multi-feature based object tracking. ICVGIP 2016: 17:1-17:8 - [c108]Neha Bhargava, Subhasis Chaudhuri:
Crowd motion analysis for group detection. ICVGIP 2016: 21:1-21:6 - [c107]Amit More, Subhasis Chaudhuri:
Event geo-localization and tracking from crowd-sourced video metadata. ICVGIP 2016: 24:1-24:8 - [c106]Digbalay Bose, Subhasis Chaudhuri:
Hierarchical spectral clustering based large margin classification of visually correlated categories. ICVGIP 2016: 48:1-48:8 - [i2]Vineet Gokhale, Jayakrishnan Nair, Subhasis Chaudhuri:
Application Layer Congestion Control for Network-Aware Telehaptic Communication. CoRR abs/1610.00609 (2016) - 2015
- [j65]Biplab Banerjee, Francesca Bovolo, Avik Bhattacharya, Lorenzo Bruzzone, Subhasis Chaudhuri, B. Krishna Mohan:
A New Self-Training-Based Unsupervised Satellite Image Classification Technique Using Cluster Ensemble Strategy. IEEE Geosci. Remote. Sens. Lett. 12(4): 741-745 (2015) - [j64]M. R. Renu, Subhasis Chaudhuri, Rajbabu Velmurugan:
Convergence analysis of a quadratic upper bounded TV regularizer based blind deconvolution. Signal Process. 106: 174-183 (2015) - [j63]Abhimitra Meka, Subhasis Chaudhuri:
A Technique for Simultaneous Visualization and Segmentation of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 53(4): 1707-1717 (2015) - [j62]Biplab Banerjee, Francesca Bovolo, Avik Bhattacharya, Lorenzo Bruzzone, Subhasis Chaudhuri, Krishna Mohan Buddhiraju:
A Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pair. IEEE Trans. Geosci. Remote. Sens. 53(7): 4045-4062 (2015) - [c105]Amit Bhardwaj, Subhasis Chaudhuri:
Estimation of resolvability of user response in kinesthetic perception of jump discontinuities. World Haptics 2015: 482-487 - [c104]Avik Hati, Subhasis Chaudhuri, Rajbabu Velmurugan:
Salient object carving. ICIP 2015: 1767-1771 - [c103]Chandrajit Choudhury, Yellamraju Tarun, Ajit Rajwade, Subhasis Chaudhuri:
Low bit-rate compression of video and light-field data using coded snapshots and learned dictionaries. MMSP 2015: 1-6 - [c102]Vineet Gokhale, Subhasis Chaudhuri, Onkar Dabeer:
HoIP: A point-to-point haptic data communication protocol and its evaluation. NCC 2015: 1-6 - 2014
- [b2]Subhasis Chaudhuri, Rajbabu Velmurugan, Renu M. Rameshan:
Blind Image Deconvolution - Methods and Convergence. Springer 2014, ISBN 978-3-319-10484-3, pp. 1-140 - [j61]Amit Bhardwaj, Subhasis Chaudhuri, Onkar Dabeer:
Design and Analysis of Predictive Sampling of Haptic Signals. ACM Trans. Appl. Percept. 11(4): 16:1-16:20 (2014) - [j60]Hemalata Bhujle, Subhasis Chaudhuri:
Novel Speed-Up Strategies for Non-Local Means Denoising With Patch and Edge Patch Based Dictionaries. IEEE Trans. Image Process. 23(1): 356-365 (2014) - [c101]