Anirban Chakraborty
Orcid: 0000-0002-6946-9152Affiliations:
- Indian Institute of Science Bangalore, Department of Computational and Data Sciences, India
- Nanyang Technological University, Singapore (2015 - 2016)
- National University of Singapore, Singapore (2014 - 2015)
- University of California, Riverside, CA, USA (PhD 2014)
According to our database1,
Anirban Chakraborty
authored at least 71 papers
between 2010 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Int. J. Comput. Vis., 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
G-PReDICT: Generalizable Person Re-ID using Domain Invariant Contrastive Techniques✱.
Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Multim. Tools Appl., 2021
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identification.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification.
IEEE Trans. Inf. Forensics Secur., 2020
Multim. Tools Appl., 2020
Single Image Super-resolution with a Switch Guided Hybrid Network for Satellite Images.
CoRR, 2020
Semantic Segmentation of highly class imbalanced fully labelled 3D volumetric biomedical images and unsupervised Domain Adaptation of the pre-trained Segmentation Network to segment another fully unlabelled Biomedical 3D Image stack.
CoRR, 2020
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
WIREs Data Mining Knowl. Discov., 2019
N-HAR: A Neuromorphic Event-Based Human Activity Recognition System using Memory Surfaces.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP).
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
2017
IEEE Trans. Circuits Syst. Video Technol., 2017
Optimal Landmark Selection for Registration of 4D Confocal Image Stacks in Arabidopsis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction.
Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017
2016
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
Medical Image Anal., 2015
2014
Exploration of Contextual Relationships for Robust Video Analysis: Applications in Camera Networks, Bio-image Analysis and Activity Forecasting.
PhD thesis, 2014
Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages.
Frontiers Neuroinformatics, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the Computer Vision - ECCV 2014, 2014
Proceedings of the Computer Vision - ACCV 2014, 2014
2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2011
Cell Resolution 3D Reconstruction of Developing Multilayer Tissues from Sparsely Sampled Volumetric Microscopy Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011
2010
Proceedings of the Seventh Indian Conference on Computer Vision, 2010