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ORCIDAnirban Chakraborty 0001
Person information
- affiliation: Indian Institute of Science Bangalore, Department of Computational and Data Sciences, India
- affiliation (2015 - 2016): Nanyang Technological University, Singapore
- affiliation (2014 - 2015): National University of Singapore, Singapore
- affiliation (PhD 2014): University of California, Riverside, CA, USA
Other persons with the same name
- Anirban Chakraborty 0002
![[0000-0001-7425-6664]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7425-6664")
— University of Edinburgh, School of Informatics, UK (and 2 more) - Anirban Chakraborty 0003 — Indian Institute of Technology Kharagpur, Department of Computer Science and Engineering, India
- Anirban Chakraborty 0004 — University of Engineering & Management, Kolkata, India (and 1 more)
- Anirban Chakraborty 0005 — University of Texas Arlington, Department of Mechanical and Aerospace Engineering, TX, USA (and 1 more)
- Anirban Chakraborty 0006 — Banaras Hindu University, Varanasi, India
- Anirban Chakraborty 0007 — Lal Bahadur Shastri Institute of Management, Delhi, India
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2020 – today
- 2024
[j12]Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty:
Multimodal query-guided object localization. Multim. Tools Appl. 83(5): 14857-14881 (2024)- [c43]Aditay Tripathi, Anand Mishra, Anirban Chakraborty:
Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch. WACV 2024: 1072-1081 - [c42]M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty:
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. WACV 2024: 2276-2285 - 2023
- [j11]Vikash Kumar, Himanshu Patil, Rohit Lal, Anirban Chakraborty:
Improving Domain Adaptation Through Class Aware Frequency Transformation. Int. J. Comput. Vis. 131(11): 2888-2907 (2023) - [c41]Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy:
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision. CVPR 2023: 24470-24479 - [c40]Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty:
CoNMix for Source-free Single and Multi-target Domain Adaptation. WACV 2023: 4167-4177 - [c39]Aditay Tripathi, Anand Mishra, Anirban Chakraborty:
Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing. WACV 2023: 4380-4389 - [c38]Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty:
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers. WACV 2023: 4611-4620 - [i31]Aditay Tripathi, Anand Mishra, Anirban Chakraborty:
Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch. CoRR abs/2303.08784 (2023) - [i30]M. Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Singh, Anirban Chakraborty:
Federated Learning on Heterogeneous Data via Adaptive Self-Distillation. CoRR abs/2305.19600 (2023) - [i29]Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty:
DAD++: Improved Data-free Test Time Adversarial Defense. CoRR abs/2309.05132 (2023) - 2022
- [j10]Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty:
Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8465-8481 (2022) - [c37]Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty:
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems. CVPR Workshops 2022: 4331-4340 - [c36]Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CVPR 2022: 20416-20427 - [c35]Chaitra Jambigi, Umar Masud, Anirban Chakraborty:
G-PReDICT: Generalizable Person Re-ID using Domain Invariant Contrastive Techniques✱. ICVGIP 2022: 53:1-53:9 - [c34]Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty:
DAD: Data-free Adversarial Defense at Test Time. WACV 2022: 3788-3797 - [i28]Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CoRR abs/2203.15293 (2022) - [i27]Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty:
DAD: Data-free Adversarial Defense at Test Time. CoRR abs/2204.01568 (2022) - [i26]Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu:
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. CoRR abs/2204.01971 (2022) - [i25]Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty:
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems. CoRR abs/2205.02604 (2022) - [i24]Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty:
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers. CoRR abs/2210.08929 (2022) - [i23]Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty:
Data-free Defense of Black Box Models Against Adversarial Attacks. CoRR abs/2211.01579 (2022) - [i22]Gaurav Kumar Nayak, Ruchit Rawal, Inder Khatri, Anirban Chakraborty:
Robust Few-shot Learning Without Using any Adversarial Samples. CoRR abs/2211.01598 (2022) - [i21]Aditay Tripathi, Anand Mishra, Anirban Chakraborty:
Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing. CoRR abs/2211.01969 (2022) - [i20]Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty:
CoNMix for Source-free Single and Multi-target Domain Adaptation. CoRR abs/2211.03876 (2022) - [i19]Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy:
Robustifying Deep Vision Models Through Shape Sensitization. CoRR abs/2211.07277 (2022) - [i18]Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty:
Multimodal Query-guided Object Localization. CoRR abs/2212.00749 (2022) - 2021
- [j9]Utkarsh Shreemali, Anirban Chakraborty:
Robust gait based human identification on incomplete and multi-view sequences. Multim. Tools Appl. 80(7): 10141-10166 (2021) - [c33]Gaurav Kumar Nayak, Monish Keswani, Sharan Seshadri, Anirban Chakraborty:
Beyond Classification: Knowledge Distillation using Multi-Object Impressions. BMVC 2021: 65 - [c32]Chaitra Jambigi, Ruchit Rawal, Anirban Chakraborty:
MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID. BMVC 2021: 116 - [c31]Gaurav Kumar Nayak, Het Shah, Anirban Chakraborty:
Incremental Learning for Animal Pose Estimation using RBF k-DPP. BMVC 2021: 188 - [c30]Siddharth Seth, Akash Sonth, Anirban Chakraborty:
Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identification. BMVC 2021: 430 - [c29]Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty:
Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions. ICCVW 2021: 1571-1582 - [c28]Vikash Kumar, Sarthak Srivastava, Rohit Lal, Anirban Chakraborty:
CAFT: Class Aware Frequency Transform for Reducing Domain Gap. ICCVW 2021: 2525-2534 - [c27]Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan, Anirban Chakraborty, Chetan Singh Thakur:
Real-Time Object Detection and Localization in Compressive Sensed Video. ICIP 2021: 1489-1493 - [c26]Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, Venkatesh Babu R.:
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. NeurIPS 2021: 158-171 - [c25]Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty:
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation. WACV 2021: 1429-1437 - [i17]Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty:
Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications. CoRR abs/2101.06069 (2021) - [i16]Gaurav Kumar Nayak, Het Shah, Anirban Chakraborty:
Incremental Learning for Animal Pose Estimation using RBF k-DPP. CoRR abs/2110.13598 (2021) - [i15]Gaurav Kumar Nayak, Monish Keswani, Sharan Seshadri, Anirban Chakraborty:
Beyond Classification: Knowledge Distillation using Multi-Object Impressions. CoRR abs/2110.14215 (2021) - [i14]Chaitra Jambigi, Ruchit Rawal, Anirban Chakraborty:
MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID. CoRR abs/2111.05059 (2021) - 2020
- [j8]Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty:
PerSeg : segmenting salient objects from bag of single image perturbations. Multim. Tools Appl. 79(3-4): 2473-2493 (2020) - [j7]Navaneet K. L., Ravi Kiran Sarvadevabhatla, Shashank Shekhar, R. Venkatesh Babu, Anirban Chakraborty:
Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 15: 2375-2385 (2020) - [c24]Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan:
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. AAAI 2020: 3130-3137 - [c23]Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. AAAI 2020: 11312-11319 - [c22]Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty:
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. BigMM 2020: 267-271 - [c21]Surbhi Aggarwal, Jogendra Nath Kundu, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation. BMVC 2020 - [c20]Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CVPR 2020: 6151-6161 - [c19]Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty:
Sketch-Guided Object Localization in Natural Images. ECCV (6) 2020: 532-547 - [c18]Vignesh Ramanathan, Pritesh Dwivedi, Bharath Katabathuni, Anirban Chakraborty, Chetan Singh Thakur:
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware. WACV 2020: 1667-1677 - [c17]Surbhi Aggarwal, R. Venkatesh Babu, Anirban Chakraborty:
Text-based Person Search via Attribute-aided Matching. WACV 2020: 2606-2614 - [i13]Shreya Roy, Anirban Chakraborty:
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 abs/2004.02748 (2020) - [i12]Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CoRR abs/2004.04400 (2020) - [i11]Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty:
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. CoRR abs/2006.14107 (2020) - [i10]Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty:
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. CoRR abs/2008.00878 (2020) - [i9]Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty:
Sketch-Guided Object Localization in Natural Images. CoRR abs/2008.06551 (2020) - [i8]Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty:
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation. CoRR abs/2011.09113 (2020) - [i7]Shreya Roy, Anirban Chakraborty:
Single Image Super-resolution with a Switch Guided Hybrid Network for Satellite Images. CoRR abs/2011.14380 (2020)
2010 – 2019
- 2019
- [j6]Annamalai Lakshmi, Anirban Chakraborty, Chetan Singh Thakur:
Neuromorphic vision: From sensors to event-based algorithms. WIREs Data Mining Knowl. Discov. 9(4) (2019) - [c16]Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu:
Enhancing Salient Object Segmentation Through Attention. CVPR Workshops 2019: 27-36 - [c15]Navaneet K. L., Vasudha Todi, R. Venkatesh Babu, Anirban Chakraborty:
All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification. ICASSP 2019: 2472-2476 - [c14]Ajeet Kumar Singh, Anand Mishra, Shashank Shekhar, Anirban Chakraborty:
From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason. ICCV 2019: 4601-4611 - [c13]Anand Mishra, Shashank Shekhar, Ajeet Kumar Singh, Anirban Chakraborty:
OCR-VQA: Visual Question Answering by Reading Text in Images. ICDAR 2019: 947-952 - [c12]Gaurav Kumar Nayak, Utkarsh Shreemali, R. Venkatesh Babu, Anirban Chakraborty:
Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). ICIP 2019: 4569-4573 - [c11]Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty:
Zero-Shot Knowledge Distillation in Deep Networks. ICML 2019: 4743-4751 - [c10]Bibrat Ranjan Pradhan, Yeshwanth Bethi, Sathyaprakash Narayanan, Anirban Chakraborty, Chetan Singh Thakur:
N-HAR: A Neuromorphic Event-Based Human Activity Recognition System using Memory Surfaces. ISCAS 2019: 1-5 - [i6]Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, Anirban Chakraborty:
Zero-Shot Knowledge Distillation in Deep Networks. CoRR abs/1905.08114 (2019) - [i5]Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu:
Enhancing Salient Object Segmentation Through Attention. CoRR abs/1905.11522 (2019) - [i4]Lakshmi Annamalai, Anirban Chakraborty, Chetan Singh Thakur:
EvAn: Neuromorphic Event-based Anomaly Detection. CoRR abs/1911.09722 (2019) - [i3]Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, R. Venkatesh Babu:
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. CoRR abs/1912.11960 (2019) - 2018
- [i2]Navaneet K. L., Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu, Anirban Chakraborty:
Deep Sequential Multi-camera Feature Fusion for Person Re-identification. CoRR abs/1807.07295 (2018) - 2017
- [j5]Katya Mkrtchyan, Anirban Chakraborty, Amit K. Roy-Chowdhury:
Optimal Landmark Selection for Registration of 4D Confocal Image Stacks in Arabidopsis. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 457-467 (2017) - [j4]Anirban Chakraborty, Bappaditya Mandal, Junsong Yuan:
Person Reidentification Using Multiple Egocentric Views. IEEE Trans. Circuits Syst. Video Technol. 27(3): 484-498 (2017) - [c9]Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty:
Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction. NCVPRIPG 2017: 66-77 - 2016
- [j3]Anirban Chakraborty, Abir Das, Amit K. Roy-Chowdhury:
Network Consistent Data Association. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1859-1871 (2016) - [c8]Tahmida Mahmud, Mahmudul Hasan, Anirban Chakraborty, Amit K. Roy-Chowdhury:
A poisson process model for activity forecasting. ICIP 2016: 3339-3343 - [c7]Anirban Chakraborty, Bappaditya Mandal, Hamed Kiani Galoogahi:
Person re-identification using multiple first-person-views on wearable devices. WACV 2016: 1-8 - 2015
- [j2]Anirban Chakraborty, Amit K. Roy-Chowdhury:
Context aware spatio-temporal cell tracking in densely packed multilayer tissues. Medical Image Anal. 19(1): 149-163 (2015) - 2014
- [b1]Anirban Chakraborty:
Exploration of Contextual Relationships for Robust Video Analysis: Applications in Camera Networks, Bio-image Analysis and Activity Forecasting. University of California, Riverside, USA, 2014 - [j1]Juan Nunez-Iglesias, Ryan Kennedy, Stephen M. Plaza, Anirban Chakraborty, William T. Katz:
Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages. Frontiers Neuroinformatics 8: 34 (2014) - [c6]Anirban Chakraborty, Amit K. Roy-Chowdhury:
Context-Aware Activity Forecasting. ACCV (5) 2014: 21-36 - [c5]Abir Das, Anirban Chakraborty, Amit K. Roy-Chowdhury:
Consistent Re-identification in a Camera Network. ECCV (2) 2014: 330-345 - [c4]Anirban Chakraborty, Amit K. Roy-Chowdhury:
A conditional random field model for tracking in densely packed cell structures. ICIP 2014: 451-455 - [i1]Toufiq Parag, Anirban Chakraborty, Stephen Plaza:
A Context-aware Delayed Agglomeration Framework for EM Segmentation. CoRR abs/1406.1476 (2014) - 2013
- [c3]Katya Mkrtchyan, Anirban Chakraborty, Amit K. Roy-Chowdhury:
Automated registration of live imaging stacks of Arabidopsis. ISBI 2013: 672-675 - 2011
- [c2]Anirban Chakraborty, Ram Kishor Yadav, G. Venugopala Reddy, Amit K. Roy-Chowdhury:
Cell Resolution 3D Reconstruction of Developing Multilayer Tissues from Sparsely Sampled Volumetric Microscopy Images. BIBM 2011: 378-383 - 2010
- [c1]Anirban Chakraborty, Min Liu, Katya Mkrtchyan, G. Venugopala Reddy, Amit K. Roy-Chowdhury:
Cell volume estimation from a sparse collection of noisy confocal image slices. ICVGIP 2010: 183-189
Coauthor Index
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