Cell volume estimation from a sparse collection of noisy confocal image slices. - Anirban Chakraborty 001; Min Liu 008; Katya Mkrtchyan; G. Venugopala Reddy; Amit K. Roy-Chowdhury (ICVGIP, 2010)

Cell Resolution 3D Reconstruction of Developing Multilayer Tissues from Sparsely Sampled Volumetric Microscopy Images. - Anirban Chakraborty 001; Ram Kishor Yadav; G. Venugopala Reddy; Amit K. Roy-Chowdhury (BIBM, 2011)

Automated registration of live imaging stacks of Arabidopsis. - Katya Mkrtchyan; Anirban Chakraborty 001; Amit K. Roy-Chowdhury (ISBI, 2013)

Context-Aware Activity Forecasting. - Anirban Chakraborty 001; Amit K. Roy-Chowdhury (ACCV (5), 2014)

Consistent Re-identification in a Camera Network. - Abir Das; Anirban Chakraborty 001; Amit K. Roy-Chowdhury (ECCV (2), 2014)

A conditional random field model for tracking in densely packed cell structures. - Anirban Chakraborty 001; Amit K. Roy-Chowdhury (ICIP, 2014)

A Context-aware Delayed Agglomeration Framework for EM Segmentation. - Toufiq Parag; Anirban Chakraborty 001; Stephen Plaza (CoRR, 2014)

Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages. - Juan Nunez-Iglesias; Ryan Kennedy; Stephen M. Plaza; Anirban Chakraborty 001; William T. Katz (Frontiers Neuroinformatics, 2014)

Exploration of Contextual Relationships for Robust Video Analysis: Applications in Camera Networks, Bio-image Analysis and Activity Forecasting. - Anirban Chakraborty 001 (2014)

Context aware spatio-temporal cell tracking in densely packed multilayer tissues. - Anirban Chakraborty 001; Amit K. Roy-Chowdhury (Medical Image Anal., 2015)

A poisson process model for activity forecasting. - Tahmida Mahmud; Mahmudul Hasan 003; Anirban Chakraborty 001; Amit K. Roy-Chowdhury (ICIP, 2016)

Person re-identification using multiple first-person-views on wearable devices. - Anirban Chakraborty 001; Bappaditya Mandal; Hamed Kiani Galoogahi (WACV, 2016)

Network Consistent Data Association. - Anirban Chakraborty 001; Abir Das; Amit K. Roy-Chowdhury (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction. - Avishek Majumder 001; R. Venkatesh Babu; Anirban Chakraborty 001 (NCVPRIPG, 2017)

Optimal Landmark Selection for Registration of 4D Confocal Image Stacks in Arabidopsis. - Katya Mkrtchyan; Anirban Chakraborty 001; Amit K. Roy-Chowdhury (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Person Reidentification Using Multiple Egocentric Views. - Anirban Chakraborty 001; Bappaditya Mandal; Junsong Yuan 001 (IEEE Trans. Circuits Syst. Video Technol., 2017)

Deep Sequential Multi-camera Feature Fusion for Person Re-identification. - Navaneet K. L.; Ravi Kiran Sarvadevabhatla; R. Venkatesh Babu; Anirban Chakraborty 001 (CoRR, 2018)

Enhancing Salient Object Segmentation Through Attention. - Anuj Pahuja; Avishek Majumder 001; Anirban Chakraborty 001; R. Venkatesh Babu (CVPR Workshops, 2019)

All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification. - Navaneet K. L.; Vasudha Todi; R. Venkatesh Babu; Anirban Chakraborty 001 (ICASSP, 2019)

From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason. - Ajeet Kumar Singh; Anand Mishra 001; Shashank Shekhar 006; Anirban Chakraborty 001 (ICCV, 2019)

OCR-VQA: Visual Question Answering by Reading Text in Images. - Anand Mishra 001; Shashank Shekhar 006; Ajeet Kumar Singh; Anirban Chakraborty 001 (ICDAR, 2019)

Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). - Gaurav Kumar Nayak; Utkarsh Shreemali; R. Venkatesh Babu; Anirban Chakraborty 001 (ICIP, 2019)

Zero-Shot Knowledge Distillation in Deep Networks. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Vaisakh Shaj; Venkatesh Babu Radhakrishnan; Anirban Chakraborty 001 (ICML, 2019)

N-HAR: A Neuromorphic Event-Based Human Activity Recognition System using Memory Surfaces. - Bibrat Ranjan Pradhan; Yeshwanth Bethi; Sathyaprakash Narayanan; Anirban Chakraborty 001; Chetan Singh Thakur (ISCAS, 2019)

EvAn: Neuromorphic Event-based Anomaly Detection. - Lakshmi Annamalai; Anirban Chakraborty 001; Chetan Singh Thakur (CoRR, 2019)

Neuromorphic vision: From sensors to event-based algorithms. - Annamalai Lakshmi; Anirban Chakraborty 001; Chetan Singh Thakur (WIREs Data Mining Knowl. Discov., 2019)

DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. - Sravanti Addepalli; Gaurav Kumar Nayak; Anirban Chakraborty 001; Venkatesh Babu Radhakrishnan (AAAI, 2020)

Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. - Jogendra Nath Kundu; Siddharth Seth; Rahul M. V.; Mugalodi Rakesh; Venkatesh Babu Radhakrishnan; Anirban Chakraborty 001 (AAAI, 2020)

Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. - Gaurav Kumar Nayak; Saksham Jain; R. Venkatesh Babu; Anirban Chakraborty 001 (BigMM, 2020)

WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation. - Surbhi Aggarwal; Jogendra Nath Kundu; Venkatesh Babu Radhakrishnan; Anirban Chakraborty 001 (BMVC, 2020)

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. - Jogendra Nath Kundu; Siddharth Seth; Varun Jampani; Mugalodi Rakesh; R. Venkatesh Babu; Anirban Chakraborty 001 (CVPR, 2020)

Sketch-Guided Object Localization in Natural Images. - Aditay Tripathi; Rajath R. Dani; Anand Mishra 001; Anirban Chakraborty 001 (ECCV (6), 2020)

Text-based Person Search via Attribute-aided Matching. - Surbhi Aggarwal; R. Venkatesh Babu; Anirban Chakraborty 001 (WACV, 2020)

QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware. - Vignesh Ramanathan; Pritesh Dwivedi; Bharath Katabathuni; Anirban Chakraborty 001; Chetan Singh Thakur (WACV, 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. - Shreya Roy; Anirban Chakraborty 001 (CoRR, 2020)

Single Image Super-resolution with a Switch Guided Hybrid Network for Satellite Images. - Shreya Roy; Anirban Chakraborty 001 (CoRR, 2020)

PerSeg : segmenting salient objects from bag of single image perturbations. - Avishek Majumder 001; R. Venkatesh Babu; Anirban Chakraborty 001 (Multim. Tools Appl., 2020)

Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification. - Navaneet K. L.; Ravi Kiran Sarvadevabhatla; Shashank Shekhar 006; R. Venkatesh Babu; Anirban Chakraborty 001 (IEEE Trans. Inf. Forensics Secur., 2020)

MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID. - Chaitra Jambigi; Ruchit Rawal; Anirban Chakraborty 001 (BMVC, 2021)

Beyond Classification: Knowledge Distillation using Multi-Object Impressions. - Gaurav Kumar Nayak; Monish Keswani; Sharan Seshadri; Anirban Chakraborty 001 (BMVC, 2021)

Incremental Learning for Animal Pose Estimation using RBF k-DPP. - Gaurav Kumar Nayak; Het Shah; Anirban Chakraborty 001 (BMVC, 2021)

Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identification. - Siddharth Seth; Akash Sonth; Anirban Chakraborty 001 (BMVC, 2021)

CAFT: Class Aware Frequency Transform for Reducing Domain Gap. - Vikash Kumar; Sarthak Srivastava; Rohit Lal; Anirban Chakraborty 001 (ICCVW, 2021)

Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions. - Vishal Vinod; K. Ram Prabhakar; R. Venkatesh Babu; Anirban Chakraborty 001 (ICCVW, 2021)

Real-Time Object Detection and Localization in Compressive Sensed Video. - Yeshwanth Ravi Theja Bethi; Sathyaprakash Narayanan; Venkat Rangan; Anirban Chakraborty 001; Chetan Singh Thakur (ICIP, 2021)

Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. - Jogendra Nath Kundu; Siddharth Seth; Anirudh Jamkhandi; Pradyumna YM; Varun Jampani; Anirban Chakraborty 001; Venkatesh Babu R. (NeurIPS, 2021)

Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Anirban Chakraborty 001 (WACV, 2021)

Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Saksham Jain; Anirban Chakraborty 001 (CoRR, 2021)

Robust gait based human identification on incomplete and multi-view sequences. - Utkarsh Shreemali; Anirban Chakraborty 001 (Multim. Tools Appl., 2021)

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. - Jogendra Nath Kundu; Siddharth Seth; Pradyumna YM; Varun Jampani; Anirban Chakraborty 001; R. Venkatesh Babu (CVPR, 2022)

Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems. - Gaurav Kumar Nayak; Ruchit Rawal; Rohit Lal; Himanshu Patil; Anirban Chakraborty 001 (CVPR Workshops, 2022)

G-PReDICT: Generalizable Person Re-ID using Domain Invariant Contrastive Techniques✱. - Chaitra Jambigi; Umar Masud; Anirban Chakraborty 001 (ICVGIP, 2022)

DAD: Data-free Adversarial Defense at Test Time. - Gaurav Kumar Nayak; Ruchit Rawal; Anirban Chakraborty 001 (WACV, 2022)

Data-free Defense of Black Box Models Against Adversarial Attacks. - Gaurav Kumar Nayak; Inder Khatri; Shubham Randive; Ruchit Rawal; Anirban Chakraborty 001 (CoRR, 2022)

Robustifying Deep Vision Models Through Shape Sensitization. - Aditay Tripathi; Rishubh Singh; Anirban Chakraborty 001; Pradeep Shenoy (CoRR, 2022)

Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data. - Gaurav Kumar Nayak; Konda Reddy Mopuri; Saksham Jain; Anirban Chakraborty 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision. - Aditay Tripathi; Rishubh Singh; Anirban Chakraborty 001; Pradeep Shenoy (CVPR, 2023)

CoNMix for Source-free Single and Multi-target Domain Adaptation. - Vikash Kumar; Rohit Lal; Himanshu Patil; Anirban Chakraborty 001 (WACV, 2023)

DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers. - Gaurav Kumar Nayak; Ruchit Rawal; Anirban Chakraborty 001 (WACV, 2023)

Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing. - Aditay Tripathi; Anand Mishra 001; Anirban Chakraborty 001 (WACV, 2023)

Federated Learning on Heterogeneous Data via Adaptive Self-Distillation. - M. Yashwanth; Gaurav Kumar Nayak; Arya Singh; Yogesh Singh; Anirban Chakraborty 001 (CoRR, 2023)

Improving Domain Adaptation Through Class Aware Frequency Transformation. - Vikash Kumar; Himanshu Patil; Rohit Lal; Anirban Chakraborty 001 (Int. J. Comput. Vis., 2023)

Data-free Defense of Black Box Models Against Adversarial Attacks. - Gaurav Kumar Nayak; Inder Khatri; Ruchit Rawal; Anirban Chakraborty 001 (CVPR Workshops, 2024)

Sketch-guided Image Inpainting with Partial Discrete Diffusion Process. - Nakul Sharma; Aditay Tripathi; Anirban Chakraborty 001; Anand Mishra 001 (CVPR Workshops, 2024)

Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement. - Aditay Tripathi; Pradeep Shenoy; Anirban Chakraborty 001 (ECCV (58), 2024)

Enhancing 3D Referential Grounding by Learning Coarse Spatial Relationships. - Soham Joshi; Aditay Tripathi; Viswanath Gopalakrishnan; Anirban Chakraborty 001 (ICPR (30), 2024)

Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch. - Aditay Tripathi; Anand Mishra 001; Anirban Chakraborty 001 (WACV, 2024)

Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. - M. Yashwanth; Gaurav Kumar Nayak; Harsh Rangwani; Arya Singh; R. Venkatesh Babu; Anirban Chakraborty 001 (WACV, 2024)

Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning. - M. Yashwanth; Gaurav Kumar Nayak; Arya Singh; Yogesh Simmhan; Anirban Chakraborty 001 (Trans. Mach. Learn. Res., 2024)

Multimodal query-guided object localization. - Aditay Tripathi; Rajath R. Dani; Anand Mishra 001; Anirban Chakraborty 001 (Multim. Tools Appl., 2024)

DAD++: Improved data-free test time adversarial defense. - Gaurav Kumar Nayak; Inder Khatri; Shubham Randive; Ruchit Rawal; Anirban Chakraborty 001 (Neurocomputing, 2025)

CARL: Cost-Optimized Online Container Placement on VMs Using Adversarial Reinforcement Learning. - Prathamesh Saraf Vinayak; Saswat Subhajyoti Mallick; Lakshmi Jagarlamudi; Anirban Chakraborty 001; Yogesh Simmhan (IEEE Trans. Cloud Comput., 2025)

Robust Few-Shot Learning Without Using Any Adversarial Samples. - Gaurav Kumar Nayak; Ruchit Rawal; Inder Khatri; Anirban Chakraborty 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids. - Roopkatha Banerjee; Sampath Koti; Gyanendra Singh; Anirban Chakraborty 001; Gurunath Gurrala; Bhushan Jagyasi; Yogesh Simmhan (CoRR, 2025)