Publications

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Journals


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), 131, 2888–2907 (2023)


Multimodal Query-guided Object Localization
A. Tripathi, R. R. Dani, A. Mishra, A. Chakraborty
Multimedia Tools and Applications [In Press]


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) (2022)


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
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


Conferences


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), 2023


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) (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


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 (* Jointly first authored)
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W), 2022


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


DAD: Data-free Adversarial Defense at Test Time
G. K. Nayak*, R. Rawal*, A. Chakraborty (*Jointly first authored)
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 (* Jointly first authored)
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 (* Jointly first authored)
British Machine Vision Conference (BMVC), 2021


Beyond Classification: Knowledge Distillation using Multi-Object Impressions
G. K. Nayak*, M. Keswani*, S. Seshadri, A. Chakraborty (* Jointly first authored)
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 (* Jointly second authored)
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 (* Jointly first authored)
Winter Conference on Applications of Computer Vision (WACV), 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).


HFCER: Hybrid Fusion for Cultural Event Recognition in Images
S. Srivastava, B. Mandal, A. Chakraborty
International Conference of Pattern Recognition Systems (ICPRS), 2021


Density Estimation of Heterogeneous Crowd in Mass Religious Gatherings Using Image Processing and Denoising Filter
N. Choubey, A. 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)


DeGAN : Data-enriching GAN for retrieving Representative Samples from a Trained Classifier
S. Addepalli, G. K. Nayak, A. Chakraborty, R. Venkatesh Babu
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), pp. 27-36, 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), pp. 2472-2476, 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.


Book Chapters


Automatic Image Analysis Pipeline for Studying Growth in Arabidopsis
K. Mkrtchyan, A. Chakraborty, M. Liu, A. Roy-Chowdhury
Video Bioinformatics, Springer International Publishing, 2015


Computational Tools For Quantitative Analysis of Cell Growth Patterns And Morphogenesis in Actively Developing Plant Stem Cell Niches
A. Chakraborty, R. Yadav, M. Liu, M. Tataw, K. Mkrtchyan, A.K. Roy Chowdhury, G. V. Reddy
Plant Signalling Networks: Methods and Protocols, Springer Protocols 2012



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