Associate Professor |
I am an Associate Professor in the Department of Computational and Data Sciences (CDS), Indian Institute of Science, Bangalore and the convenor of the Visual Computing Lab (VCL). From December’16 to June’17, I worked as a researcher at Robert Bosch Research and Technology Centre, India. Prior to that, I was a research fellow in the Rapid-Rich Object Search (ROSE) Lab at Nanyang Technological University, Singapore working on large scale, deployable video surveillance systems. From October’14 to November’15, I worked as a post-doctoral fellow in the A*STAR-NUS Clinical Imaging Research Centre at National University of Singapore. I completed my Ph.D. in Electrical Engineering from University of California, Riverside under the supervision of Prof. Amit K. Roy-Chowdhury in August, 2014. I obtained my M.S. from the same institute in 2010 and prior to that, my bachelors in Electrical Engineering from Jadavpur University, Kolkata, India.
[Google Scholar] [LinkedIn] [CV] [Visual Computing Lab]
I am interested in developing novel computer vision and machine learning algorithms to solve visual analysis problems arising from diverse real-world applications. Majority of my current research can be categorized into three major thematic areas -
Data-efficient & Privacy-preserving Deep Learning: zero-shot/few-shot knowledge distillation, continual learning, source-free/unsupervised domain adaptation, data-free adversarial defense, federated learning under data heterogeneity etc.
Cross-modal Computer Vision: text-based image retrieval, sketch-guided localization, scene-graph generation, visual question answering etc.
Perceiving Humans and their Actions: robust and scalable person-reidentification, video anomaly detection, human gait and pose analysis etc.
In the past, I have worked on biological and medical image analysis problems (e.g., registration, cell segmentation, spatio-temporal cell tracking, cell and tissue resolution 3D reconstruction of confocal image stacks, analysis of clinical MR and CT images etc.). I am also interested in data-association problems on graphs and their applications to visual analytics tasks.
Robust Few-shot Learning Without Using any Adversarial Samples
G. K. Nayak, R. Rawal, I. Khatri, A. Chakraborty
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2024 [In Press]
Improving Domain Adaptation through Class Aware Frequency Transformation
V. Kumar, H. Patil, R. Lal, A. Chakraborty
International Journal of Computer Vision (IJCV) (2023) 131(11):2888-2907
Multimodal Query-guided Object Localization
A. Tripathi, R. R. Dani, A. Mishra, A. Chakraborty
Multimedia Tools and Applications(2023): 1-25
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data
G. K. Nayak, M. K. Reddy, S. Jain, A. Chakraborty
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) (2021) 44(11): 8465-8481
EvAn: Neuromorphic Event-Based Sparse Anomaly Detection
A. Lakshmi, A. Chakraborty, C. S. Thakur
Frontiers in Neuroscience (2022) 15 (2021): 853.
Robust Gait Based Human Identification on Incomplete and Multi-view Sequences
U. Shreemali, A. Chakraborty
Multimedia Tools and Applications (2020) 80(7): 10141-10166.
PerSeg: Segmenting Salient Objects From Bag of Single Image Perturbations
A. Majumder, R. Venkatesh Babu, A. Chakraborty
Multimedia Tools and Applications (2020) 79(3): 2473-2493.
Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification
K. L. Navaneet, R. K. Sarvadevabhatla, S. Shekhar, R. Venkatesh Babu, Anirban Chakraborty
IEEE Transactions on Information Forensics & Security (2019) 15: 2375-2385
Neuromorphic vision: From sensors to event based algorithms
A. Lakshmi, A. Chakraborty, C. S. Thakur
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (2019) 9(4): p.e1310.
Person Re-identification Using Multiple Egocentric Views
A. Chakraborty, B. Mandal, J. Yuan
IEEE Transactions on Circuits and Systems for Video Technology (2017) 27(3):484-498
Optimal Landmark Selection for Registration of 4D Confocal Image Stacks in Arabidopsis
K. Mkrtchyan, A. Chakraborty, A. K. Roy-Chowdhury
IEEE/ ACM Transactions on Computational Biology and Bioinformatics (2017) 14(2):457-467
Network Consistent Data Association
A. Chakraborty, A. Das, A. K. Roy-Chowdhury
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016) 38(9):1859-1871
Context Aware Spatio-temporal Cell Tracking In Densely Packed Multilayer Tissues
A. Chakraborty, A. K. Roy-Chowdhury
Medical Image Analysis (2015) 19(1):149-163
A Context-Aware Delayed Agglomeration Framework for Electron Microscopy Segmentation
T. Parag, A. Chakraborty, S. Plaza, L. Scheffer
PLoS ONE (2015) 10(5): e0125825
Graph-based Active Learning of Agglomeration (GALA): a Python library to segment 2D and 3D neuroimages
J. Nunez-Iglesias, R. Kennedy, S. M. Plaza, A. Chakraborty, W. T. Katz
Frontiers in Neuroinformatics (2014) 8(00034)
Adaptive Geometric Tessellation for 3D Reconstruction of Anisotropically Developing Cells in Multilayer Tissues from Sparse Volumetric Microscopy Images
A. Chakraborty, M. M. Perales, G. V. Reddy, A. K. Roy-Chowdhury
PLoS ONE (2013) 8(8): e67202
Adaptive Cell Segmentation and Tracking for Volumetric Confocal Microscopy Images of A Developing Plant Meristem
M. Liu*, A. Chakraborty*, D. Singh, M. Gopi, R. Yadav, G.V. Reddy, A. K. Roy-Chowdhury (* Jointly first authored)
Molecular Plant (2011) 4(5): 922-931
Enhancing 3D Referential Grounding by Learning Coarse Spatial Relationships
S. Joshi, A. Tripathi, V. Gopalakrishnan, A. Chakraborty
International Conference on Pattern Recognition (ICPR), 2024 [Accepted]
Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement
A. Tripathi, P. Shenoy, A. Chakraborty
European Conference on Computer Vision (ECCV), 2024
Data-free Defense of Black Box Models Against Adversarial Attacks
G. K. Nayak, I. Khatri, R. Rawal, A. Chakraborty
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W), 2024
Sketch-guided Image Inpainting with Partial Discrete Diffusion Process
N. Sharma, A. Tripathi, A. Chakraborty, A. Mishra
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W), 2024
Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch
A. Tripathi, A. Mishra, A. Chakraborty
Winter Conference on Applications of Computer Vision (WACV), 2024
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
M. Yashwanth, G. K. Nayak, H. Rangwani, A. Singh, R. V. Babu, A. Chakraborty
Winter Conference on Applications of Computer Vision (WACV), 2024
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision
A. Tripathi, R. Singh, A. Chakraborty, P. Shenoy
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
G-PReDICT: Generalizable Person Re-ID using Domain Invariant Contrastive Techniques
C. Jambigi, U. Masud, A. Chakraborty
Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2022 (Oral)
Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing
A. Tripathi, A. Mishra, A. Chakraborty
Winter Conference on Applications of Computer Vision (WACV), 2023
CoNMix for Source-free Single and Multi-target Domain Adaptation
V. Kumar, R. Lal, H. Patil, A. Chakraborty
Winter Conference on Applications of Computer Vision (WACV), 2023
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers
G. K. Nayak, R. Rawal, A. Chakraborty
Winter Conference on Applications of Computer Vision (WACV), 2023
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
J. N. Kundu, S. Seth, Y. M. Pradyumna, V. Jampani, A. Chakraborty, R. Venkatesh Babu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
G. K. Nayak, R. Rawal, R. Lal, H. Patil, A. Chakraborty
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W), 2022
DAD: Data-free Adversarial Defense at Test Time
G. K. Nayak, R. Rawal, A. Chakraborty
Winter Conference on Applications of Computer Vision (WACV), 2022
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
J. N. Kundu, S. Seth, A. Jamkhandi, Y. M. Pradyumna, V. Jampani, A. Chakraborty, R. Venkatesh Babu
Advances in Neural Information Processing Systems (NeurIPS), 2021.
MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID
C. Jambigi, R. Rawal, A. Chakraborty
British Machine Vision Conference (BMVC), 2021 (Oral)
Pose Transformation and Radial Distance Clustering for Unsupervised Person Re-identification
S. Seth, A. Sonth, A. Chakraborty
British Machine Vision Conference (BMVC), 2021
Incremental Learning for Animal Pose Estimation using RBF k-DPP
G. K. Nayak, H. Shah, A. Chakraborty
British Machine Vision Conference (BMVC), 2021
Beyond Classification: Knowledge Distillation using Multi-Object Impressions
G. K. Nayak, M. Keswani, S. Seshadri, A. Chakraborty
British Machine Vision Conference (BMVC), 2021
Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions
V. Vinod, K. Ram Prabhakar, R. Venkatesh Babu, A. Chakraborty
International Conference on Computer Vision Workshops (ICCV-W), 2021
CAFT: Class Aware Frequency Transform for Reducing Domain Gap
V. Kumar, S. Srivastava, R. Lal, A. Chakraborty
International Conference on Computer Vision Workshops (ICCV-W), 2021
Real-Time Object Detection and Localization in Compressive Sensed Video
Y. Bethi, S. Narayanan, V. Rangan, A. Chakraborty, C. S. Thakur
International Conference on Image Processing (ICIP), 2021
Effectiveness of Arbitrary Transfer Sets for Data Free Knowledge Distillation
G. K. Nayak, M. K. Reddy, A. Chakraborty
Winter Conference on Applications of Computer Vision (WACV), 2021
HFCER: Hybrid Fusion for Cultural Event Recognition in Images
S. Srivastava, B. Mandal, A. Chakraborty
International Conference of Pattern Recognition Systems (ICPRS), 2021
Automated Crowd Parameter Estimation and Crowd Movement Analysis in Kumbh Mela
N. Choubey, A. Verma, A. Chakraborty
Proceedings of the Sixth International Conference of Transportation Research Group of India (CTRG), 2021
Density Estimation of Heterogeneous Crowd in Mass Religious Gatherings Using Image Processing and Denoising Filter
N. Choubey, A. K. Prajapati, A. Verma, A. Chakraborty
Soft Computing for Problem Solving (SocProS), Advances in Intelligent Systems and Computing, 2021.
WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation
S. Aggarwal, J. N. Kundu, R. Venkatesh Babu, A. Chakraborty
British Machine Vision Conference (BMVC), 2020 (Oral)
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images
G. K. Nayak, S. Jain, R. Venkatesh Babu, A. Chakraborty
IEEE International Conference on Multimedia Big Data (BigMM), 2020 (Oral)
Sketch-Guided Object Localization in Natural Images
A. Tripathi, R. R. Dani, A. Mishra, A. Chakraborty
European Conference on Computer Vision (ECCV), 2020 (Spotlight)
Self-Supervised 3D Human Pose Estimation Via Part Guided Novel Image Synthesis
J. N. Kundu*, S. Seth*, V. Jampani, R. Mugalodi, R. Venkatesh Babu, A. Chakraborty (* Jointly first authored)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
J. N. Kundu*, S. Seth*, R. M. Venkatesh*, R. Mugalodi, R. Venkatesh Babu, A. Chakraborty (* Jointly first authored)
Conference of the American Association for Artificial Intelligence (AAAI), 2020 (Oral)
S. Addepalli, G. K. Nayak, A. Chakraborty, R. Venkatesh Babu
DeGAN : Data-enriching GAN for retrieving Representative Samples from a Trained Classifier
Conference of the American Association for Artificial Intelligence (AAAI), 2020
Text-based Person Search via Attribute-aided Matching
S. Aggarwal, R. Venkatesh Babu, A. Chakraborty
Winter Conference on Applications of Computer Vision (WACV), 2020
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware
V. Ramanathan, P. Dwivedi, B. Katabathuni, A. Chakraborty, C. S. Thakur
Winter Conference on Applications of Computer Vision (WACV), 2020
From Strings to Things: Knowledge-enabled VQA Model that can Read and Reason
A. K. Singh, A. Mishra, S. Shekhar, A. Chakraborty
International Conference on Computer Vision (ICCV), 2019 (Oral)
Zero Shot Knowledge Distillation in Deep Networks
G. K. Nayak*, M. K. Reddy*, V. Shaj*, R. Venkatesh Babu, A. Chakraborty (* Jointly first authored)
International Conference on Machine Learning (ICML), 2019
OCR-VQA: Visual Question Answering by Reading Text in Images
A. Mishra, S. Shekhar, A. K. Singh, A. Chakraborty
International Conference on Document Analysis and Recognition (ICDAR), 2019
Efficient Person Re-identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)
G. K. Nayak, U. Shreemali, R. Venkatesh Babu, A. Chakraborty
International Conference on Image Processing (ICIP), 2019
Enhancing Salient Object Segmentation Through Attention
A. Pahuja, A. Majumder, A. Chakraborty, R. Venkatesh Babu
Computer Vision and Pattern Recognition Workshops (Deep Vision), 2019
All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification
Navaneet, K. L., V. Todi, R. Venkatesh Babu, A. Chakraborty
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 (Oral)
n-HAR: A Neuromorphic Event-Based Human Activity Recognition System Using Memory Surfaces
B. R. Pradhan, Y. Bethi, S. Narayanan, A. Chakraborty, C. S. Thakur
IEEE International Symposium on Circuits and Systems (ISCAS), 2019
Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction
A. Majumder, R. Venkatesh Babu, A. Chakraborty
NCVPRIPG, 2017 (Oral)
Person Re-identification Using Multiple First-Person-Views on Wearable Devices
A. Chakraborty, B. Mandal, H. K. Galoogahi
Winter Conference on Applications of Computer Vision (WACV), 2016
A Poisson Process Model for Activity Forecasting
T. Mahmud, M. Hasan, A. Chakraborty, A. K. Roy-Chowdhury
International Conference on Image Processing (ICIP), 2016
Consistent Re-identification in a Camera Network
A. Das*, A. Chakraborty*, A. K. Roy-Chowdhury (* Jointly first authored)
European Conference on Computer Vision (ECCV), 2014
Context-Aware Activity Forecasting
A. Chakraborty, A. K. Roy-Chowdhury
Asian Conference on Computer Vision (ACCV), 2014.
A Conditional Random Field Model For Tracking In Densely Packed Cell Structures
A. Chakraborty, A. K. Roy-Chowdhury
IEEE International Conference on Image Processing (ICIP), 2014.
Automated registration of live imaging stacks of Arabidopsis
K. Mkrtchyan, A. Chakraborty, A. K. Roy-Chowdhury
International Symposium on Biomedical Imaging (ISBI), 2013
Cell Resolution 3D Reconstruction of Developing Multilayer Tissues from Sparsely Sampled Volumetric Microscopy Images
A. Chakraborty, R. Yadav, G. V. Reddy, A. K. Roy-Chowdhury
International Conference on Bioinformatics and Biomedicine (BIBM), 2011 (Oral)
Cell Volume Estimation From A Sparse Collection of Noisy Confocal Image Slices
A. Chakraborty, M. Liu, K. Mkrtchyan, G. V. Reddy, A. K. Roy-Chowdhury
Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2010.
Introduction to Data Science [DS 215] : Aug 2022, Aug 2023, Aug 2024
Topics in Visual Analytics [DS 363] : Aug 2024 (with Prof. R. Venkatesh Babu)
Data Analysis and Visualization [DS 294] : Jan 2022, Jan 2020, Jan 2018
Video Analytics [DS 263] : Aug 2021, Aug 2019 (with Prof. R. Venkatesh Babu)
Deep Learning for Computer Vision [DS 265] : Jan 2020 (with Prof. R. Venkatesh Babu)