Anirban Chakraborty

Orcid: 0000-0002-6946-9152

Affiliations:
  • 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 67 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multimodal query-guided object localization.
Multim. Tools Appl., February, 2024

Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning.
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

2023
Improving Domain Adaptation Through Class Aware Frequency Transformation.
Int. J. Comput. Vis., 2023

DAD++: Improved Data-free Test Time Adversarial Defense.
CoRR, 2023

Federated Learning on Heterogeneous Data via Adaptive Self-Distillation.
CoRR, 2023

Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

CoNMix for Source-free Single and Multi-target Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision.
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

Robustifying Deep Vision Models Through Shape Sensitization.
CoRR, 2022

Robust Few-shot Learning Without Using any Adversarial Samples.
CoRR, 2022

Data-free Defense of Black Box Models Against Adversarial Attacks.
CoRR, 2022

DAD: Data-free Adversarial Defense at Test Time.
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

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Robust gait based human identification on incomplete and multi-view sequences.
Multim. Tools Appl., 2021

Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications.
CoRR, 2021

Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Real-Time Object Detection and Localization in Compressive Sensed Video.
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

CAFT: Class Aware Frequency Transform for Reducing Domain Gap.
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

Incremental Learning for Animal Pose Estimation using RBF k-DPP.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Beyond Classification: Knowledge Distillation using Multi-Object Impressions.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID.
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

PerSeg : segmenting salient objects from bag of single image perturbations.
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

Text-based Person Search via Attribute-aided Matching.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Sketch-Guided Object Localization in Natural Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images.
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
Neuromorphic vision: From sensors to event-based algorithms.
WIREs Data Mining Knowl. Discov., 2019

EvAn: Neuromorphic Event-based Anomaly Detection.
CoRR, 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

Zero-Shot Knowledge Distillation in Deep Networks.
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

OCR-VQA: Visual Question Answering by Reading Text in Images.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason.
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

Enhancing Salient Object Segmentation Through Attention.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Deep Sequential Multi-camera Feature Fusion for Person Re-identification.
CoRR, 2018

2017
Person Reidentification Using Multiple Egocentric Views.
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
Network Consistent Data Association.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Person re-identification using multiple first-person-views on wearable devices.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

A poisson process model for activity forecasting.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Context aware spatio-temporal cell tracking in densely packed multilayer tissues.
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

A Context-aware Delayed Agglomeration Framework for EM Segmentation.
CoRR, 2014

A conditional random field model for tracking in densely packed cell structures.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Consistent Re-identification in a Camera Network.
Proceedings of the Computer Vision - ECCV 2014, 2014

Context-Aware Activity Forecasting.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Automated registration of live imaging stacks of Arabidopsis.
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
Cell volume estimation from a sparse collection of noisy confocal image slices.
Proceedings of the Seventh Indian Conference on Computer Vision, 2010


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