Anirban Chakraborty

109 papers A* 9A 16B 4C 1Misc 1Journal 59Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	O3SLM: Open Weight, Open Data, and Open Vocabulary Sketch-Language Model. AAAI Rishi Gupta, Mukilan Karuppasamy, Shyam Marjit, Aditay Tripathi, Anirban Chakraborty
2026	J	`jnl`	Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers. Trans. Mach. Learn. Res. M. Yashwanth, Sharannya Ghosh, Aditay Tripathi, Anirban Chakraborty
2026	J	`jnl`	Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks. CoRR Akash Sharma, Pranjal Naman, Roopkatha Banerjee, Priyanshu Pansari, Sankalp Gawali, Mayank Arya, Sharath Chandra, Arun Josephraj, Rakshit Ramesh, Punit Rathore, Anirban Chakraborty, Raghu Krishnapuram, Vijay Kovvali, Yogesh Simmhan
2025	J	`jnl`	CARL: Cost-Optimized Online Container Placement on VMs Using Adversarial Reinforcement Learning. IEEE Trans. Cloud Comput. Prathamesh Saraf Vinayak, Saswat Subhajyoti Mallick, Lakshmi Jagarlamudi, Anirban Chakraborty, Yogesh Simmhan
2025	J	`jnl`	DAD++: Improved data-free test time adversarial defense. Neurocomputing Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty
2025	J	`jnl`	FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation. CoRR M. Yashwanth, Sampath Koti, Arunabh Singh, Shyam Marjit, Anirban Chakraborty
2025	J	`jnl`	Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. CoRR M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty
2025	J	`jnl`	Mitigating Participation Imbalance Bias in Asynchronous Federated Learning. CoRR Xiangyu Chang, Manyi Yao, Srikanth V. Krishnamurthy, Christian R. Shelton, Anirban Chakraborty, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2025	J	`jnl`	O3SLM: Open Weight, Open Data, and Open Vocabulary Sketch-Language Model. CoRR Rishi Gupta, Mukilan Karuppasamy, Shyam Marjit, Aditay Tripathi, Anirban Chakraborty
2025	—	`conf`	Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids. eScience Roopkatha Banerjee, Sampath Koti, Gyanendra Singh, Anirban Chakraborty, Gurunath Gurrala, Bhushan Jagyasi, Yogesh Simmhan
2025	J	`jnl`	Optimizing Federated Learning for Scalable Power-demand Forecasting in Microgrids. CoRR Roopkatha Banerjee, Sampath Koti, Gyanendra Singh, Anirban Chakraborty, Gurunath Gurrala, Bhushan Jagyasi, Yogesh Simmhan
2025	J	`jnl`	Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers. CoRR M. Yashwanth, Sharannya Ghosh, Aditay Tripathi, Anirban Chakraborty
2025	J	`jnl`	Robust Few-Shot Learning Without Using Any Adversarial Samples. IEEE Trans. Neural Networks Learn. Syst. Gaurav Kumar Nayak, Ruchit Rawal, Inder Khatri, Anirban Chakraborty
2025	J	`jnl`	The Urban Vision Hackathon Dataset and Models: Towards Image Annotations and Accurate Vision Models for Indian Traffic. CoRR Akash Sharma, Chinmay Mhatre, Sankalp Gawali, Ruthvik Bokkasam, Brij Kishore, Vishwajeet Pattanaik, Tarun Rambha, Abdul R. Pinjari, Vijay Kovvali, Anirban Chakraborty, Punit Rathore, Raghu Krishnapuram, Yogesh Simmhan
2024	J	`jnl`	Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning. Trans. Mach. Learn. Res. M. Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Simmhan, Anirban Chakraborty
2024	—	`conf`	Data-free Defense of Black Box Models Against Adversarial Attacks. CVPR Workshops Gaurav Kumar Nayak, Inder Khatri, Ruchit Rawal, Anirban Chakraborty
2024	—	`conf`	Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement. ECCV (58) Aditay Tripathi, Pradeep Shenoy, Anirban Chakraborty
2024	—	`conf`	Enhancing 3D Referential Grounding by Learning Coarse Spatial Relationships. ICPR (30) Soham Joshi, Aditay Tripathi, Viswanath Gopalakrishnan, Anirban Chakraborty
2024	J	`jnl`	Improving Domain Adaptation Through Class Aware Frequency Transformation. CoRR Vikash Kumar, Himanshu Patil, Rohit Lal, Anirban Chakraborty
2024	A	`conf`	Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. WACV M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty
2024	J	`jnl`	Multimodal query-guided object localization. Multim. Tools Appl. Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty
2024	J	`jnl`	Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identification. CoRR Siddharth Seth, Akash Sonth, Anirban Chakraborty
2024	A	`conf`	Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch. WACV Aditay Tripathi, Anand Mishra, Anirban Chakraborty
2024	—	`conf`	Sketch-guided Image Inpainting with Partial Discrete Diffusion Process. CVPR Workshops Nakul Sharma, Aditay Tripathi, Anirban Chakraborty, Anand Mishra
2024	J	`jnl`	Sketch-guided Image Inpainting with Partial Discrete Diffusion Process. CoRR Nakul Sharma, Aditay Tripathi, Anirban Chakraborty, Anand Mishra
2023	A	`conf`	CoNMix for Source-free Single and Multi-target Domain Adaptation. WACV Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty
2023	J	`jnl`	DAD++: Improved Data-free Test Time Adversarial Defense. CoRR Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty
2023	A	`conf`	DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers. WACV Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty
2023	A*	`conf`	Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision. CVPR Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy
2023	J	`jnl`	Federated Learning on Heterogeneous Data via Adaptive Self-Distillation. CoRR M. Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Singh, Anirban Chakraborty
2023	A	`conf`	Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing. WACV Aditay Tripathi, Anand Mishra, Anirban Chakraborty
2023	J	`jnl`	Improving Domain Adaptation Through Class Aware Frequency Transformation. Int. J. Comput. Vis. Vikash Kumar, Himanshu Patil, Rohit Lal, Anirban Chakraborty
2023	J	`jnl`	Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch. CoRR Aditay Tripathi, Anand Mishra, Anirban Chakraborty
2022	J	`jnl`	CoNMix for Source-free Single and Multi-target Domain Adaptation. CoRR Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty
2022	A	`conf`	DAD: Data-free Adversarial Defense at Test Time. WACV Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty
2022	J	`jnl`	DAD: Data-free Adversarial Defense at Test Time. CoRR Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty
2022	J	`jnl`	DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers. CoRR Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty
2022	J	`jnl`	Data-free Defense of Black Box Models Against Adversarial Attacks. CoRR Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty
2022	—	`conf`	G-PReDICT: Generalizable Person Re-ID using Domain Invariant Contrastive Techniques✱. ICVGIP Chaitra Jambigi, Umar Masud, Anirban Chakraborty
2022	J	`jnl`	Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing. CoRR Aditay Tripathi, Anand Mishra, Anirban Chakraborty
2022	—	`conf`	Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems. CVPR Workshops Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty
2022	J	`jnl`	Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems. CoRR Gaurav Kumar Nayak, Ruchit Rawal, Rohit Lal, Himanshu Patil, Anirban Chakraborty
2022	J	`jnl`	Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data. IEEE Trans. Pattern Anal. Mach. Intell. Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty
2022	J	`jnl`	Multimodal Query-guided Object Localization. CoRR Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty
2022	J	`jnl`	Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. CoRR Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu
2022	J	`jnl`	Robust Few-shot Learning Without Using any Adversarial Samples. CoRR Gaurav Kumar Nayak, Ruchit Rawal, Inder Khatri, Anirban Chakraborty
2022	J	`jnl`	Robustifying Deep Vision Models Through Shape Sensitization. CoRR Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy
2022	A*	`conf`	Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CVPR Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu
2022	J	`jnl`	Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CoRR Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu
2021	A	`conf`	Beyond Classification: Knowledge Distillation using Multi-Object Impressions. BMVC Gaurav Kumar Nayak, Monish Keswani, Sharan Seshadri, Anirban Chakraborty
2021	J	`jnl`	Beyond Classification: Knowledge Distillation using Multi-Object Impressions. CoRR Gaurav Kumar Nayak, Monish Keswani, Sharan Seshadri, Anirban Chakraborty
2021	—	`conf`	CAFT: Class Aware Frequency Transform for Reducing Domain Gap. ICCVW Vikash Kumar, Sarthak Srivastava, Rohit Lal, Anirban Chakraborty
2021	J	`jnl`	Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications. CoRR Gaurav Kumar Nayak, Konda Reddy Mopuri, Saksham Jain, Anirban Chakraborty
2021	A	`conf`	Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation. WACV Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty
2021	A	`conf`	Incremental Learning for Animal Pose Estimation using RBF k-DPP. BMVC Gaurav Kumar Nayak, Het Shah, Anirban Chakraborty
2021	J	`jnl`	Incremental Learning for Animal Pose Estimation using RBF k-DPP. CoRR Gaurav Kumar Nayak, Het Shah, Anirban Chakraborty
2021	A	`conf`	MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID. BMVC Chaitra Jambigi, Ruchit Rawal, Anirban Chakraborty
2021	J	`jnl`	MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID. CoRR Chaitra Jambigi, Ruchit Rawal, Anirban Chakraborty
2021	—	`conf`	Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions. ICCVW Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty
2021	A*	`conf`	Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. NeurIPS Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, Venkatesh Babu R.
2021	A	`conf`	Pose-Transformation and Radial Distance Clustering for Unsupervised Person Re-identification. BMVC Siddharth Seth, Akash Sonth, Anirban Chakraborty
2021	B	`conf`	Real-Time Object Detection and Localization in Compressive Sensed Video. ICIP Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan, Anirban Chakraborty, Chetan Singh Thakur
2021	J	`jnl`	Robust gait based human identification on incomplete and multi-view sequences. Multim. Tools Appl. Utkarsh Shreemali, Anirban Chakraborty
2020	A*	`conf`	DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. AAAI Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan
2020	J	`jnl`	Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation. CoRR Gaurav Kumar Nayak, Konda Reddy Mopuri, Anirban Chakraborty
2020	—	`conf`	Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. BigMM Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty
2020	J	`jnl`	Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. CoRR Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty
2020	A*	`conf`	Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. AAAI Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
2020	J	`jnl`	Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. CoRR Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
2020	J	`jnl`	Operator-in-the-Loop Deep Sequential Multi-Camera Feature Fusion for Person Re-Identification. IEEE Trans. Inf. Forensics Secur. Navaneet K. L., Ravi Kiran Sarvadevabhatla, Shashank Shekhar, R. Venkatesh Babu, Anirban Chakraborty
2020	J	`jnl`	PerSeg : segmenting salient objects from bag of single image perturbations. Multim. Tools Appl. Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty
2020	A	`conf`	QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware. WACV Vignesh Ramanathan, Pritesh Dwivedi, Bharath Katabathuni, Anirban Chakraborty, Chetan Singh Thakur
2020	A*	`conf`	Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CVPR Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
2020	J	`jnl`	Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CoRR Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
2020	J	`jnl`	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 Shreya Roy, Anirban Chakraborty
2020	J	`jnl`	Single Image Super-resolution with a Switch Guided Hybrid Network for Satellite Images. CoRR Shreya Roy, Anirban Chakraborty
2020	—	`conf`	Sketch-Guided Object Localization in Natural Images. ECCV (6) Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty
2020	J	`jnl`	Sketch-Guided Object Localization in Natural Images. CoRR Aditay Tripathi, Rajath R. Dani, Anand Mishra, Anirban Chakraborty
2020	A	`conf`	Text-based Person Search via Attribute-aided Matching. WACV Surbhi Aggarwal, R. Venkatesh Babu, Anirban Chakraborty
2020	A	`conf`	WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation. BMVC Surbhi Aggarwal, Jogendra Nath Kundu, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
2019	Misc	`conf`	All for One: Frame-wise Rank Loss for Improving Video-based Person Re-identification. ICASSP Navaneet K. L., Vasudha Todi, R. Venkatesh Babu, Anirban Chakraborty
2019	J	`jnl`	DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. CoRR Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, R. Venkatesh Babu
2019	B	`conf`	Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP). ICIP Gaurav Kumar Nayak, Utkarsh Shreemali, R. Venkatesh Babu, Anirban Chakraborty
2019	—	`conf`	Enhancing Salient Object Segmentation Through Attention. CVPR Workshops Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu
2019	J	`jnl`	Enhancing Salient Object Segmentation Through Attention. CoRR Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu
2019	J	`jnl`	EvAn: Neuromorphic Event-based Anomaly Detection. CoRR Lakshmi Annamalai, Anirban Chakraborty, Chetan Singh Thakur
2019	A*	`conf`	From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason. ICCV Ajeet Kumar Singh, Anand Mishra, Shashank Shekhar, Anirban Chakraborty
2019	C	`conf`	N-HAR: A Neuromorphic Event-Based Human Activity Recognition System using Memory Surfaces. ISCAS Bibrat Ranjan Pradhan, Yeshwanth Bethi, Sathyaprakash Narayanan, Anirban Chakraborty, Chetan Singh Thakur
2019	J	`jnl`	Neuromorphic vision: From sensors to event-based algorithms. WIREs Data Mining Knowl. Discov. Annamalai Lakshmi, Anirban Chakraborty, Chetan Singh Thakur
2019	A	`conf`	OCR-VQA: Visual Question Answering by Reading Text in Images. ICDAR Anand Mishra, Shashank Shekhar, Ajeet Kumar Singh, Anirban Chakraborty
2019	A*	`conf`	Zero-Shot Knowledge Distillation in Deep Networks. ICML Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
2019	J	`jnl`	Zero-Shot Knowledge Distillation in Deep Networks. CoRR Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu, Anirban Chakraborty
2018	J	`jnl`	Deep Sequential Multi-camera Feature Fusion for Person Re-identification. CoRR Navaneet K. L., Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu, Anirban Chakraborty
2017	—	`conf`	Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction. NCVPRIPG Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty
2017	J	`jnl`	Optimal Landmark Selection for Registration of 4D Confocal Image Stacks in Arabidopsis. IEEE ACM Trans. Comput. Biol. Bioinform. Katya Mkrtchyan, Anirban Chakraborty, Amit K. Roy-Chowdhury
2017	J	`jnl`	Person Reidentification Using Multiple Egocentric Views. IEEE Trans. Circuits Syst. Video Technol. Anirban Chakraborty, Bappaditya Mandal, Junsong Yuan
2016	B	`conf`	A poisson process model for activity forecasting. ICIP Tahmida Mahmud, Mahmudul Hasan, Anirban Chakraborty, Amit K. Roy-Chowdhury
2016	J	`jnl`	Network Consistent Data Association. IEEE Trans. Pattern Anal. Mach. Intell. Anirban Chakraborty, Abir Das, Amit K. Roy-Chowdhury
2016	A	`conf`	Person re-identification using multiple first-person-views on wearable devices. WACV Anirban Chakraborty, Bappaditya Mandal, Hamed Kiani Galoogahi
2015	J	`jnl`	Context aware spatio-temporal cell tracking in densely packed multilayer tissues. Medical Image Anal. Anirban Chakraborty, Amit K. Roy-Chowdhury
2014	J	`jnl`	A Context-aware Delayed Agglomeration Framework for EM Segmentation. CoRR Toufiq Parag, Anirban Chakraborty, Stephen Plaza
2014	B	`conf`	A conditional random field model for tracking in densely packed cell structures. ICIP Anirban Chakraborty, Amit K. Roy-Chowdhury
2014	—	`conf`	Consistent Re-identification in a Camera Network. ECCV (2) Abir Das, Anirban Chakraborty, Amit K. Roy-Chowdhury
2014	—	`conf`	Context-Aware Activity Forecasting. ACCV (5) Anirban Chakraborty, Amit K. Roy-Chowdhury
2014	—	`—`	Exploration of Contextual Relationships for Robust Video Analysis: Applications in Camera Networks, Bio-image Analysis and Activity Forecasting. Anirban Chakraborty
2014	J	`jnl`	Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages. Frontiers Neuroinformatics Juan Nunez-Iglesias, Ryan Kennedy, Stephen M. Plaza, Anirban Chakraborty, William T. Katz
2013	—	`conf`	Automated registration of live imaging stacks of Arabidopsis. ISBI Katya Mkrtchyan, Anirban Chakraborty, Amit K. Roy-Chowdhury
2011	—	`conf`	Cell Resolution 3D Reconstruction of Developing Multilayer Tissues from Sparsely Sampled Volumetric Microscopy Images. BIBM Anirban Chakraborty, Ram Kishor Yadav, G. Venugopala Reddy, Amit K. Roy-Chowdhury
2010	—	`conf`	Cell volume estimation from a sparse collection of noisy confocal image slices. ICVGIP Anirban Chakraborty, Min Liu, Katya Mkrtchyan, G. Venugopala Reddy, Amit K. Roy-Chowdhury