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Retrieved Entries: 461 [» Advanced search reports]

2023

  1. Devendra Kumar Jangid, Neal R Brodnik, McLean P Echlin, Samantha Daly, Tresa Pollock, B.S. Manjunath,
    “Titanium 3D Microstructure for Physics-based Generative Models: A Dataset and Primer”,
    International Conference on Machine Learning Workshop, Hawaii, USA, Aug. 2023.
    [abstract] [PDF] [BibTex]
    Abstract preview: When engineers design components, they rely on accurate property descriptions of the materials being used to predict performance. Most materials used for engineering applications are composed of an ar ... more
  2. Devendra K. Jangid, Neal R. Brodnik, McLean P. Echlin, Tresa M. Pollock, Samantha H. Daly, B.S. Manjunath,
    “Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network”,
    Mar. 2023.
    [abstract] [PDF] [BibTex]
    Abstract preview: Gathering 3D material microstructural information is time-consuming, expensive, and energy-intensive. Acquisition of 3D data has been accelerated by developments in serial sectioning instrument capabi ... more

2022

  1. Devendra K Jangid, Neal R Brodnik, Michael G Goebel, Amil Khan, SaiSidharth Majeti, McLean P Echlin, Samantha H Daly, Tresa M Pollock, BS Manjunath,
    “Adaptable physics-based super-resolution for electron backscatter diffraction maps”,
    NPJ Computational Materials, Dec. 2022.
    [abstract] [PDF] [BibTex]
    Abstract preview: In computer vision, single-image super-resolution (SISR) has been extensively explored using convolutional neural networks (CNNs) on optical images, but images outside this domain, such as those from ... more
  2. R. Austin McEver, Bowen Zhang, Connor Levenson, A S M Iftekhar, B.S. Manjunath,
    “Context-Driven Detection of Invertebrate Species in Deep-Sea Video ”,
    CVPR Workshop, New Orleans, LA, Jun. 2022.
    [abstract] [PDF] [BibTex]
    Abstract preview: Each year, underwater remotely operated vehicles (ROVs) collect thousands of hours of video of unexplored ocean habitats revealing a plethora of information regarding biodiversity on Earth. However, f ... more
  3. Devendra K. Jangid, Neal R. Brodnik, Amil Khan, Michael G. Goebel, McLean P. Echlin, Tresa M. Pollock, Samantha H. Daly & B. S. Manjunath ,
    “3D Grain Shape Generation in Polycrystals Using Generative Adversarial Networks”,
    Integrating Materials and Manufacturing Innovation, Jan. 2022.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper presents a generative adversarial network (GAN) capable of producing realistic microstructure morphology features and demonstrates its capabilities on a dataset of crystalline titanium grai ... more

2020

  1. de Melo Celso, Rothrock Brandon, Gurram Prudhvi, Ulutan Oytun, Manjunath B.S.,
    “Robot Control Gestures (RoCoG)”,
    Sep. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: Building successful collaboration between humans and robots requires efficient, effective, and natural communication. This dataset supports the study of RGB-based deep learning model ... more
  2. Devendra K. Jangid, Neal R. Brodnik, Amil Khan, McLean P. Echlin, Tresa M. Pollock, Sam Daly, B.S. Manjunath,
    “3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications”,
    arXiv, Jul. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: In the field of computer vision, unsupervised learning for 2D object generation has advanced rapidly in the past few years. However, 3D object generation has not garnered the same attention or success ... more
  3. O. Ulutan, A.S.M. Iftekhar, B.S. Manjunath,
    “VSGNet: Spatial Attention Network for Detecting Human-Object Interactions using Graph Convolutions”,
    CVPR 2020, Seattle , Jun. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: Comprehensive visual understanding requires detection frameworks that can effectively learn and utilize object interactions while analyzing objects individually. This is the main objective in Human-Ob ... more
  4. Satish Kumar, Carlos Torres, Oytun Ulutan, Alana Ayasse, Dar Roberts, B. S. Manjunath,
    “Deep Remote Sensing Methods for Methane Detection in Overhead Hyperspectral Imagery”,
    The IEEE Winter Conference on Applications of Computer Vision (WACV) 2020, Mar. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: Effective analysis of hyperspectral imagery is essential for gathering fast and actionable information of large areas affected by atmospheric and green house gases. Existing methods, which process hyp ... more
  5. Po-Yu Kao, Shailja, Jiaxiang Jiang, Angela Zhang, Amil Khan, Jefferson W Chen, BS Manjunath,
    “Improving Patch-Based Convolutional Neural Networks for MRI Brain Tumor Segmentation by Leveraging Location Information”,
    Frontiers in Neuroscience, Mar. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: The manual brain tumor annotation process is time consuming and resource consuming, therefore, an automated and accurate brain tumor segmentation tool is greatly in demand. In this paper, we introduce ... more
  6. Oytun Ulutan, Swati Rallapalli, Mudhakar Srivatsa, B.S. Manjunath,
    “Actor Conditioned Attention Maps for Video Action Detection”,
    The IEEE Winter Conference on Applications of Computer Vision,2020,527--536, Colorado, USA, Jan. 2020.
    [abstract] [PDF] [BibTex]
    Abstract preview: While observing complex events with multiple actors, humans do not assess each actor separately, but infer from the context. The surrounding context provides essential information for understanding ac ... more

2019

  1. Jiaxiang Jiang, Po-Yu Kao, S. A. Belteton, D. B. Szymanski, B. S. Manjunath,
    “Accurate 3D Cell Segmentation Using Deep Feature and CRF Refinement”,
    IEEE International Conference on Image Processing (ICIP) 2019, Sep. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: We consider the problem of accurately identifying cell boundaries and labeling individual cells in confocal microscopy images, specifically, 3D image stacks of cells with tagged cell membranes. Precis ... more
  2. Po-Yu Kao, Jefferson W. Chen, B.S. Manjunath,
    “Improving 3D U-Net for Brain Tumor Segmentation by Utilizing Lesion Prior”,
    arXiv.org, Sep. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a novel, simple and effective method to integrate lesion prior and a 3D U-Net for improving brain tumor segmentation. First, we utilize the ground-truth brain tumor lesions from a group of ... more
  3. Po-Yu Kao, Jefferson W. Chen, B.S. Manjunath,
    “Predicting Clinical Outcome of Stroke Patients with Tractographic Feature”,
    Sep. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: The volume of stroke lesion is the gold standard for predicting the clinical outcome of stroke patients. However, the presence of stroke lesion may cause neural disruptions to other brain regions, and ... more
  4. Jiaxiang Jiang, Po-Yu Kao, Samuel A. Belteton, Daniel B. Szymanski, B.S. Manjunath,
    “Accurate 3D Cell Segmentation using Deep Feature and CRF Refinement”,
    ICIP 2019, Taipei, Taiwan, Sep. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: We consider the problem of accurately identifying cell boundaries and labeling individual cells in confocal microscopy images, specifically, 3D image stacks of cells with tagged cell membranes. Precis ... more
  5. Po-Yu Kao, Angela Zhang, Michael Goebel, Jefferson W. Chen, and B.S. Manjunath,
    “Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet”,
    arXiv, 1904.07387, Apr. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this work, we utilize T1-weighted MR images and StackNet to predict fluid intelligence in adolescents. Our framework includes feature extraction, feature normalization, feature denoising, feature s ... more
  6. Angela Zhang, Po-Yu Kao, Ashutosh Shelat, Ronald Sahyouni, Jefferson Chen, B.S. Manjunath,
    “Fully Automated Volumetric Classification in CT Scans for Diagnosis and Analysis of Normal Pressure Hydrocephalus”,
    arXiv, 1901.09088, Jan. 2019.
    [abstract] [PDF] [BibTex]
    Abstract preview: Normal Pressure Hydrocephalus (NPH) is one of the few reversible forms of dementia. Due to their low cost and versatility, Computed Tomography (CT) scans have long been used as an aid to help diagnose ... more

2018

  1. Po-Yu Kao, Thuyen Ngo, Angela Zhang, Jefferson W. Chen, B.S. Manjunath,
    “Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction”,
    4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Nov. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper introduces a novel methodology to integrate human brain connectomics and parcellation for brain tumor segmentation and survival prediction. For segmentation, we utilize an existing brain pa ... more
  2. C. Torres, J. C. Fried, K. Rose and B. S. Manjunath,
    “A Multiview Multimodal System for Monitoring Patient Sleep”,
    IEEE Tran. Multimedia, May. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: Clinical observations indicate that during critical care at the hospitals, a patient's sleep positioning and motion have a significant effect on recovery rate. Unfortunately, there is no formal m ... more
  3. Hang Qiu, Xiaochen Liu, Swati Rallapalli, Archith J. Bency, Rahul Urgaonkar, B.S. Manjunath, Ramesh Govindan, Kevin Chan,
    “KESTREL: Video Analytics for Augmented Multi-Camera Vehicle Tracking”,
    The Proceedings of ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), Orlando, Florida, Apr. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: As mobile devices have become more powerful and GPU-equipped,vision-based applications are becoming feasible on these devices. Mobile devices can augment fixed camera surveillance systems to improve c ... more
  4. Oytun Ulutan, Benjamin Riggan, Nasser Nasrabadi, B.S. Manjunath,
    “A Bilinear Model for Person Detection in Multi-Modal Data”,
    IEEE Winter Conf. on Applications of Computer Vision (WACV 2018), March 12-14, 2018, Lake Tahoe, NV/CA, Lake Tahoe, CA, Mar. 2018.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a bilinear model for processing multimodal data using a deep neural network architecture. The  multimodal data includes low resolution videos and associated seismic sensor time seq ... more

2017

  1. Dmitry Fedorov, B.S. Manjunath, Christian Lang, Kristiam Kvilekval,
    “Scalable Image Informatics”,
    Academic Press Library in Signal Processing, vol. 6, no. Chapter 9, Sep. 2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: Images and video play a major role in scientific discoveries. Significant new advances in imaging science over the past two decades have resulted in new devices and technologies that are able to probe ... more
  2. Carlos Torres, Archith J. Bency, Jeffrey C. Fried, B. S. Manjunath,
    “RAM: Role Representation and Identification from combined Appearance and Activity Maps”,
    Proc. 11th International Conference on Distributed Smart Cameras, Stanford, California, Sep. 2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: ThŒis work introduces a multimodal multiview camera network for role identi€cation and re-identi€cation in an Intensive Care Unit (ICU) room, where identifying individuals is not permittŠed. ŒThe ... more
  3. Thuyen Ngo, B.S. Manjunath,
    “Saccade Gaze Prediction Using a Recurrent Neural Network”,
    IEEE International Conference on Image Processing, Beijing, China, Sep. 2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present a model that generates close-to-human gaze sequences for a given image in the free viewing task. The proposed approach leverages recent advances in image recognition using convolutional neu ... more
  4. Archith John Bency, S. Karthikeyan, Carter De Leo, Santhoshkumar Sunderrajan, and B. S. Manjunath,
    “Search Tracker: Human-derived object tracking in-the-wild through large-scale search and retrieval”,
    IEEE Transactions Circuits and Systems for Video Technology, vol. 27, no. 8, pp. 1803-14, Aug. 2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: Humans use context and scene knowledge to easily localize moving objects in conditions of complex illumination changes, scene clutter and occlusions. In this paper, we present a method to leverage hum ... more
  5. Jason Bunk, Jawadul H. Bappy, Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Arjuna Flenner, B.S. Manjunath, Shivkumar Chandrasekaran, Amit K. Roy-Chowdhury, and Lawrence Peterson ,
    “Detection and Localization of Image Forgeries using Resampling Features and Deep Learning”,
    IEEE CVPR Workshop on Media Forensics, Hawaii, Jul. 2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: Resampling is an important signature of manipulated images. In this paper, we propose two methods to detect and localize image manipulations based on a combination of resampling features and deep lear ... more
  6. D.V. Fedorov, K.G. Kvilekval, B.S. Manjunath, B. Doheny, S. Sampson, R.J. Miller D.V. Fedorov, K.G. Kvilekval, B.S. Manjunath, B. Doheny, S. Sampson, R.J. Miller,
    “Deep learning for all:  managing and analyzing underwater and remote sensing imagery on the web using BisQue”,
    3rd Workshop on Automated Analysis of Video Data for Wildlife Surveillance, Santa Rosa, CA, Mar. 2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: Logistical and financial limitations of underwater operations are inherent in marine science, including biodiversity observation. Imagery is a promising way to address these challenges, but the divers ... more
  7. Archith J. Bency, Swati Rallapalli, Raghu K. Ganti, Mudhakar Srivatsa, and B. S. Manjunath,
    “Beyond Spatial Auto-Regressive Models: Predicting Housing Prices with Satellite Imagery”,
    IEEE Winter Conference on Applications of Computer Vision 2017, pp. 320-329, Santa Rosa, CA, Mar. 2017.
    [abstract] [PDF] [BibTex]
    Abstract preview: When modeling geo-spatial data, it is critical to capture spatial correlations for achieving high accuracy. Spatial Auto-Regression (SAR) is a common tool used to model such data, where the spatial co ... more

2016

  1. Po-Yu Kao, Eduardo Rojas, Jefferson W. Chen, Angela Zhang, B. S. Manjunath,
    “Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury”,
    International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, pp. 282-290, Athens, Greece, Oct. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present an unsupervised three-dimensional feature clustering algorithm to gather the mTOP2016 challenge data into 3 groups. We use the brain MR-T1, diffusion tensor fractional anisotropy, and diffu ... more
  2. Archith J Bency, Heesung Kwon, H Lee, S Karthikeyan, B.S. Manjunath,
    “Weakly supervised localization using deep feature maps”,
    Proc. European Conference on Computer Vision, pp. 714-731, Amsterdam, Netherlands, Oct. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: Object localization is an important computer vision problem with a variety of applications. The lack of large scale object-level annotations and the relative abundance of image-level labels makes a co ... more
  3. Carlos Torres, Jeffrey C. Fried, Kenneth Rose, B. S. Manjunath,
    “Deep Eye-CU (DECU): Summarization of Patient Motion in the ICU”,
    ECCV 2016 Workshop on Assistive Computer Vision and Robotics, pp. 178-194, Amsterdam, Netherlands, Oct. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: Healthcare professionals speculate about the effects of poses and pose manipulation in healthcare. Anecdotal observations indicate that patient poses and motion affect recovery. Motion analysis using ... more
  4. Justin Preece, Justin Elser, Pankaj Jaiswal, Kristian Kvilekval, Dmitry Fedorov, B. S. Manjunath, Ryan Kitchen, Xu Xu, Dmitrios Trigkakis, Sinisa Todorovic, Seth Carbon,
    “Plant Image Segmentation and Annotation with Ontologies in BisQue”,
    Proceedings of the Joint International Conference on Biological Ontology and BioCreative, Corvallis, Oregon, Aug. 2016.
    [abstract] [PDF] [BibTex]
  5. Amir M Rahimi, R Ruschel, BS Manjunath,
    “UAV Sensor Fusion with Latent Dynamic Conditional Random Fields in Coronal Plane Estimation”,
    IEEE International Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, Jun. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present a real-time body orientation estimation in a micro-Unmanned Air Vehicle video stream. This work is part of a fully autonomous UAV system which can maneuver to face a single individual in ch ... more
  6. Lakshmanan Nataraj, B.S. Manjunath,
    “SPAM: Signal Processing to Analyze Malware”,
    IEEE Signal Processing Magazine, vol. 33, no. 2, pp. 105-117, Mar. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this article, we explored orthogonal methods to analyze malware motivated by signal and image processing. Malware samples are represented as images or signals. Image and signal-based features are e ... more
  7. D.V. Fedorov, K.G. Kvilekval, B. Dhoheney, S. Simpson, R. J. Miller add B.S. Manjunath,
    “Bisque: cloud-based system for management, annotation, visualization, analysis and data mining of underwater and remote sensing imagery”,
    Ocean Sciences Meeting, New Orleans, LA, Feb. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: Logistical and financial limitations of underwater operations are inherent in marine science, including biodiversity observation. Imagery is a promising way to address these challenges, but the divers ... more
  8. Raghu Ganti, Mudhakar Srivatsa, B.S. Manjunath,
    “Entity reconciliation in a multi-camera network”,
    Proceedings of the 17th ACM International Conference on Distributed Computing and Networking (ICDCN'16), Singapore, Jan. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: Location traces are becoming fairly abundant with the introduction of various mobile devices such as smartphones, in-car navigation units, and video cameras. Each individual type of device generates d ... more
  9. S. Sunderrajan and B. S. Manjunath,
    “Context-aware hypergraph modeling for re-identification and summarization”,
    IEEE Transactions on Multimedia, vol. 18, pp. 51-63, Jan. 2016.
    [abstract] [PDF] [BibTex]
    Abstract preview: Tracking and re-identification in wide-area camera networks is a challenging problem due to non-overlapping visual fields, varying imaging conditions, and appearance changes. We consider the problem o ... more

2015

  1. Lakshmanan Nataraj,
    “A Signal Processing Approach to Malware Analysis”,
    Dec. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: There is an alarming increase in the amount of malware that is generated today. Several studies have shown that most of these new malware are just variants of existing ones. In this research we focus ... more
  2. A. M. Rahimi, L. Nataraj, B.S. Manjunath,
    “Features We trust!”,
    International Conference on Image Processing, pp. 3476-80, Quebec City, Canada, Sep. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: We investigate the problem of image classification within a supervised learning framework that exploits implicit mutual information in different visual features and their associated classifiers. & ... more
  3. Niloufar Pourian, S. Karthikeyan, B.S. Manjunath,
    “Search and Retrieval of Multi-modal Data Associated with Image-parts”,
    International Conference on Image Processing, Sep. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present a novel framework for querying multi-modal data from a heterogeneous database containing images, textual tags, and GPS coordinates. We construct a bi-layer graph structure using localized i ... more
  4. Carlos Torres, Scott D. Hammond, Jeffrey C. Fried, B. S. Manjunath,
    “Sleep Pose Recognition in an ICU Using Multimodal Data and Environmental Feedback”,
    International Conference on Computer Vision Systems, vol. 9163, pp. 56-66, Copenhagen, Denmark, Jun. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: Clinical evidence suggests that sleep pose analysis can shed light onto patient recovery rates and responses to therapies. In this work, we introduce a formulation that combines features from multimod ... more
  5. S. Karthikeyan, Thuyen Ngo, Miguel Eckstein and B.S. Manjunath,
    “Eye tracking assisted extraction of attentionally important objects from videos”,
    IEEE International Conference on Computer Vision and Pattern Recognition, Boston, MA, Jun. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: Visual attention is a crucial indicator of the relative importance of objects in visual scenes to human viewers. In this paper, we propose an algorithm to extract objects which attract visual attentio ... more
  6. Lakshmanan Nataraj, S Karthikeyan, B.S. Manjunath,
    “SATTVA: SpArsiTy inspired classificaTion of malware VAriants”,
    ACM Workshop on Information Hiding and Multimedia Security (IH and MMSEC), Portland, Oregon, Jun. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: There is an alarming increase in the amount of malware that is generated today. However, several studies have shown that most of these new malware are just variants of existing ones. Fast detection of ... more
  7. Ninad S Thakoor, Le An, Bir Bhanu, Santhoshkumar Sunderrajan, B.S. Manjunath,
    “ People Tracking in Camera Networks: Three Open Questions”,
    IEEE Computer, vol. 48, no. 3, pp. 78-86, Mar. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: Camera networks provide opportunities for practical video surveillance and monitoring, but tracking people across the network presents many computational and modeling hurdles that researchers have yet ... more
  8. Aruna Jammalamadaka, Panuakdet Suwannatat, Steven K Fisher, BS Manjunath, Tobias Höllerer, Gabriel Luna,
    “Characterizing spatial distributions of astrocytes in the mammalian retina”,
    Bioinformatics, pp. btv097, Feb. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: Motivation: In addition to being involved in retinal vascular growth, astrocytes play an important role in diseases and injuries, such as glaucomatous neuro-degeneration and retinal detachment. Studyi ... more
  9. Niloufar Pourian, B.S. Manjunath,
    “Retrieval of Images with Objects of Specific Size, Location, and Spatial Configuration”,
    IEEE Winter Conference on Applications of Computer Vision, Waikoloa, HI, Jan. 2015.
    [abstract] [PDF] [BibTex]
    Abstract preview: An approach to image retrieval using spatial configurations is presented. The goal is to search the database for images that contain similar objects (image-patches) with a given configuration, size an ... more

2014

  1. S. Karthikeyan,
    “Modeling Eye Tracking Data with Application to Object Detection”,
    Sep. 2014.
    [abstract] [PDF] [BibTex]
    Abstract preview: This research focuses on enhancing computer vision algorithms using eye tracking and visual saliency. Recent advances in eye tracking device technology have enabled large scale collection of eye track ... more
  2. A. M. Rahimi, R.J. Miller, D.V. Fedorov, S. Sunderrajan, B.M. Doheny, H.M. Page, B.S. Manjunath,
    “Marine Biodiversity Classification Using Dropout Regularization”,
    2014 ICPR Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI),, pp. 80-87, Stockholm, Aug. 2014.
    [abstract] [PDF] [BibTex]
    Abstract preview: Coastal marine ecosystems are highly productive and diverse, but biodiversity of underwater habitats is poorly described due to logistical and financial limitations of diving and submersible operation ... more
  3. Carter de Leo and B.S. Manjunath,
    “Multicamera Video Summarization and Anomaly Detection from Activity Motifs”,
    ACM Transactions on Sensor Networks, vol. 10, no. 2, May. 2014.
    [abstract] [BibTex]
    Abstract preview: Camera network systems generate large volumes of potentially useful data, but extracting value from multiple, related videos can be a daunting task for a human reviewer. Multicamera video summarizatio ... more
  4. Thomas Kuo, Zefeng Ni, Santhoshkumar Sunderrajan and B.S. Manjunath,
    “Calibrating a Wide-Area Camera Network with Non-Overlapping Views using Mobile Devices ”,
    ACM Transactions on Sensor Networks , vol. 10, no. 2, May. 2014.
    [abstract] [BibTex]
    Abstract preview: In a wide-area camera network, cameras are often placed such that their views do not overlap. Collaborative tasks such as tracking and activity analysis still require discovering the network topology ... more
  5. Jiejun Xu, Vignesh Jagadeesh 2nd B.S. Manjunath,
    “Multi-label Learning with Fused Multimodal Bi-relational Graph”,
    IEEE Transaction on Multimedia, vol. 16, no. 2, pp. 403-412, Feb. 2014.
    [abstract] [PDF] [BibTex]
    Abstract preview: The problem of multi-label image classification using multiple feature modalities is considered in this work. Given a collection of images with partial labels, we first model the association between d ... more
  6. A. Baddeley, A. Jammalamadaka and G. Nair ,
    “Multitype point process analysis of spines on the dendrite network of a neuron”,
    Journal of Royal Statistical Society, vol. Series C (Applied Statistics), Feb. 2014.
    [abstract] [PDF] [BibTex]
    Abstract preview: We develop methods for analysing the spatial pattern of events, classified into several types, that occur on a network of lines. The motivation is the study of small protrusions called ‘spines’ whic ... more

2013

  1. S. Karthikeyan, Vignesh Jagadeesh, Renuka Shenoy, Miguel Eckstein and B.S. Manjunath,
    “From Where and How to What We See”,
    IEEE International Conference on Computer Vision, Sydney, Dec. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: Eye movement studies have confirmed that overt attention is highly biased towards faces and text regions in images. In this paper we explore a novel problem of predicting face and text regions in imag ... more
  2. Thomas Kuo, Santhoshkumar Sunderrajan, and B.S. Manjunath,
    “Camera Alignment using Trajectory Intersections in Unsynchronized Videos”,
    IEEE International Conference on Computer Vision, Sydney, Dec. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper addresses the novel and challenging problem of aligning camera views that are unsynchronized by low and/or variable frame rates using object trajectories. Unlike existing trajectory-based a ... more
  3. Dhilung Kirat, Lakshmanan Nataraj, Giovanni Vigna and B.S. Manjunath,
    “SigMal: A Static Signal Processing Based Malware Triage”,
    Annual Computer Security Applications Conference (ACSAC), Dec. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this work, we propose SigMal, a fast and precise malware detection framework based on signal processing techniques. SigMal is designed to operate with systems that process large amounts of binary s ... more
  4. Vignesh Jagadeesh, James Anderson, Bryan Jones, Robert Marc, Steven Fisher and B.S. Manjunath,
    “Robust Segmentation based Tracing using an Adaptive Wrapper for Inducing Priors”,
    IEEE Transactions on Image Processing, vol. 22, no. 12, pp. 4952-4963, Dec. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: Segmentation based tracing algorithms detect the extent and borders of an object in a given frame Iz by propagating results from frames I < z < Z. While application specific tracers have been fo ... more
  5. Jiejun Xu, Vignesh Jagadeesh, Zefeng Ni, Santhoshkumar Sunderrajan and B.S. Manjunath,
    “Graph-based Topic-focused Retrieval in a Distributed Camera Network”,
    IEEE Transaction on Multimedia, vol. 15, no. 8, pp. 2046-2057, Dec. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: Wide-area wireless camera networks are being increasingly deployed in many urban scenarios. The large amount of data generated from these cameras pose significant information processing challenges. In ... more
  6. Lakshmnanan Nataraj, Dhilung Kirat, B.S. Manjunath and Giovanni Vigna,
    “SARVAM: Search And RetrieVAl of Malware”,
    Annual Computer Security Applications Conference (ACSAC) Workshop on Next Generation Malware Attacks and Defense (NGMAD), New Orleans, Dec. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present SARVAM, a system for content-based Search And RetrieVAl of Malware. In contrast with traditional static or dynamic analysis, SARVAM uses malware binary content to find similar malware. Give ... more
  7. Vignesh Jagadeesh, James Anderson, Bryan Jones, Robert Marc, Steven K Fisher and B.S Manjunath,
    “Synapse Classification and Localization in Electron Micrographs”,
    Pattern Recognition Letters, vol. 43, pp. 17-24, Nov. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: Classification and Detection of biological structures in Electron Micrographs (EM) is a relatively new large scale image analysis problem. The primary challenges are in characterizing diverse visual c ... more
  8. A. Jammalamadaka, S. Banerjee, B.S. Manjunath and K. Kosik,
    “Statistical analysis of dendritic spine distributions in rat hippocampal cultures”,
    BMC Bioinformatics, vol. 14, no. 287, Oct. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: Dendritic spines serve as key computational structures in brain plasticity. Much remains to be learned about their spatial and temporal distribution among neurons. Our aim in this study was to perform ... more
  9. Santhoshkumar Sunderrajan, Jiejun Xu and B.S.Manjunath,
    “Context-Aware Graph Modeling for Object Search and Retrieval in a Wide Area Camera Network”,
    International Conference on Distributed Smart Cameras, Oct. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper proposes a context-aware object search and retrieval in a wide area distributed camera network. With the proliferation of smart cameras in urban networks, it is a challenge to process this ... more
  10. Santhoshkumar Sunderrajan and B.S.Manjunath,
    “Multiple View Discriminative Appearance Modeling with IMCMC for Distributed Tracking”,
    International Conference on Distributed Smart Cameras, Oct. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper proposes a distributed multi-camera tracking algorithm with interacting particle filters. We propose a novel algorithm for multi-view appearance modeling by sharing training samples between ... more
  11. S. Santhoshkumar, S. Karthikeyan and B. S. Manjunath,
    “Robust Multiple Object Tracking by Detection with Interacting Markov Chain Monte Carlo”,
    IEEE International Conference on Image Processing, Sep. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper presents a novel and computationally efficient multiobject tracking-by-detection algorithm with interacting particle filters. The proposed online tracking methodology could be scaled to hun ... more
  12. Diana Delibaltov, Pratim Ghosh, Volkan Rodoplu, Michael Veeman, William Smith and B.S. Manjunath,
    “A Linear Program Formulation for the Segmentation of Ciona Membrane Volumes”,
    International Conference on Medical Image Computing and Computer Assisted Intervention, Sep. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: We address the problem of cell segmentation in confocal microscopy membrane volumes of the ascidian Ciona used in the study of morphogenesis. The primary challenges are non-uniform and patchy membrane ... more
  13. S. Karthikeyan, Vignesh Jagadeesh and B. S. Manjunath,
    “Learning Bottom-Up Text Attention Maps For Text Detection Using Stroke Width Transform”,
    IEEE International Conference on Image Processing, Sep. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: Humans have a remarkable ability to quickly discern regions containing text from other noisy regions in images. The primary contribution of this paper is to learn a model to mimic this behavior and ai ... more
  14. S. Karthikeyan, Vignesh Jagadeesh and B. S. Manjunath,
    “Learning Top Down Scene Context For Visual Attention Modelling In Natural Images”,
    IEEE International Conference on Image Processing, Sep. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: Top down image semantics play a major role in predicting where people look in images. Present state-of-the-art approaches to model human visual attention incorporate high level object detections signi ... more
  15. B. Andres, J. Yarkony, B. S. Manjunath, S. Kirchhoff, E. Turetken, C. C. Fowlkes and H. Pfister,
    “Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs”,
    International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Aug. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: We address the problem of segmenting an image into a previously unknown number of segments from the perspective of graph partitioning. Specifically, we consider minimum multicuts of superpixel affinit ... more
  16. Nhat Vu, Vignesh Jagadeesh, and B.S.Manjunath,
    “Mutilabel MRFs with Label Adjacency Constraint: Globally Optimal Solutions and Applications”,
    VRL, ECE, University of California, Santa Barbara, Jun. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: This work addresses the problem of optimally solving Markov Random Fields(MRFs) in which labels obey a certain topology constraint. Utilizing prior information, such as domain knowledge about the appe ... more
  17. B.E. Ruttenberg, G. Luna, G.P. Lewis, S.K. Fisher and A.K. Singh,
    “Quantifying spatial relationships from whole retinal images”,
    Bioinformatics, vol. 29, no. 7, pp. 940-946, Apr. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: MOTIVATION:Microscopy advances have enabled the acquisition of large-scale biological images that capture whole tissues in situ. This in turn has fostered the study of spatial relationships between ce ... more
  18. R.H.J. Fick, D. Fedorov, A.H.K. Roeder and B.S. Manjunath,
    “Simultaneous cell tracking and image alignment in 3D CLSM imagery of growing Arabidopsis thaliana sepals”,
    10th International Symposium on Biomedical Imaging (ISBI), pp. 914-917, Apr. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this research we propose a combined cell matching and image alignment method for tracking cells based on their nuclear locations in 3D fluorescent Confocal Laser Scanning Microscopy (CLSM) image se ... more
  19. Pratim Ghosh and B.S. Manjunath,
    “Robust Simultaneous Registration and Segmentation with Sparse Error Reconstruction”,
    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 2, Feb. 2013.
    [abstract] [PDF] [BibTex]
    Abstract preview: We introduce a fast and efficient variational framework for Simultaneous Registration and Segmentation (SRS) applicable to a wide variety of image sequences. We demonstrate that a dense correspondence ... more

2012

  1. Diana Delibaltov, S. Karthikeyan, Vignesh Jagadeesh and B. S. Manjunath,
    “Robust Biological Image Sequence Analysis Using Graph Based Approaches”,
    Asilomar Conference On Signals, Systems and Computers (ACSSC), Monterey, CA, Nov. 2012.
    [abstract] [PDF] [BibTex]
    Abstract preview: Robust methods for segmentation and tracking are critical for quantitative biology. We give an overview of our recent work on graph based methods for various microscopy image analysis, including traci ... more
  2. S. Karthikeyan, Diana Delibaltov, Utkarsh Gaur, Mei Jiang, David Williams and B.S. Manjunath,
    “Unified Probabilistic Framework for Simultaneous Detection and Tracking of Multiple Objects with Application To Bio-Image Sequences”,
    International Conference on Image Processing, Oct. 2012.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present a detection based tracking algorithm for tracking melanosomes (organelles containing melanin) in time lapse image sequences imaged using bright field microscopy. Due to heavy imaging noise ... more
  3. S. Karthikeyan, Swapna Joshi, B.S. Manjunath and Scott Grafton,
    “Intra-Class Multi-Output Regression based Subspace Analysis”,
    International Conference on Image Processing, Oct. 2012.
    [abstract] [PDF] [BibTex]
    Abstract preview: A common challenge when dealing with heterogenous tasks such as face expression analysis, face and object recognition is high dimensionality and extreme appearance variations within each class. To han ... more
  4. Vignesh Jagadeesh, B.S. Manjunath, James Anderson, Bryan Jones, Robert Marc and Steven Fisher,
    “Online Parameter Estimation in Dynamic Markov Random Fields for Image Sequence Analysis”,
    International Conference on Image Processing, Oct. 2012.
    [abstract] [PDF] [BibTex]
    Abstract preview: Markov Random Fields (MRF) have proven to be extremely useful models for efficient and accurate image segmentation.Recent literature points to an increased effort towards incorporating useful priors ( ... more
  5. K. Eliceiri, M. R. Berthold, I. G. Goldberg, L. Ibanez, B. S. Manjunath, M. E. Martone, R. F. Murphy, H. Peng, A. L. Plant, B. Roysam. N. Stuurmann, J. R. Swedlow, P. Tomancak and A. E. Carpenter,
    “Biological imaging software tools”,
    Nature Methods, vol. 9, pp. 697–710, Nature Publishing Group, Jun. 2012.
    [abstract] [BibTex]
    Abstract preview: Few technologies are more widespread in modern biological laboratories than imaging. Recent advances in optical technologies and instrumentation are providing hitherto unimagined capabilities. Almost ... more
  6. Zefeng Ni, Jiejun Xu and B.S. Manjunath,
    “Object Browsing and Searching in A Camera Network using Graph Models”,
    Workshop on Camera Networks and Wide Area Scene Analysis, in IEEE Computer Vision and Pattern Recognition (CVPR) 2012, Jun. 2012.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper proposes a novel system to assist human image analysts to effectively browse and search for objects in a camera network. In contrast to the existing approaches that focus on finding global ... more
  7. Jiejun Xu, Vishwakarma Singh, Ziyu Guan, B. S. Manjunath,
    “Unified Hypergraph for Image Ranking in a Multimodal Context”,
    International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, Mar. 2012.
    [abstract] [PDF] [BibTex]
    Abstract preview: Image ranking has long been studied, yet it remains a very challenging problem. Increasingly, online images come with additional metadata such as user annotations and geographic coordinates. They prov ... more
  8. S. Karthikeyan, Felix Fernandes, Zhan Ma, PoLin Lai, Ankur Saxena,
    “Perceptual Similarity based Robust Low-Complexity Video Fingerprinting”,
    International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, Mar. 2012.
    [abstract] [PDF] [BibTex]
    Abstract preview: In this paper, we present a novel video fingerprinting algorithm which leverages the concept of perceptual similarity between different video sequences. Inspired by the popular structural similarity ( ... more
  9. Enrique Alegre, MT Garcia-Ordas, Victor Gonzalez-Castro, S Karthikeyan,
    “Vitality assessment of boar sperm using NCSR texture descriptor in digital images”,
    Sep. 2012.
    [abstract] [PDF] [BibTex]
    Abstract preview: Two new textural descriptor, named N Concentric Squares Resized (NCSR) and N Concentric Squares Resized (NCSH), have been proposed. These descriptors were used to classify 472 images of alive spermato ... more
  10. Panuakdet Suwannatat, Gabriel Luna, Geoffrey P. Lewis, Steven K. Fisher and Tobias Hollerer,
    “Scalable Interactive Analysis of Retinal Astrocyte Networks”,
    BioVis, 2012.
    [abstract] [BibTex]
    Abstract preview: Retinal astrocytes are one of two types of glial cells found in the mammalian retina. In mice, these highly planar cells are located in the innermost retinal layer termed the nerve fiber layer. We are ... more
  11. Mahmudul Hasan, Yingying Zhu, Santhoshkumar Sunderrajan, Niloufar Pourian, B.S. Manjunath and Amit Roy Chowdhury,
    “Activity Analysis in Unconstrained Surveillance Videos”,
    Trecvid Technical Report, 2012.
    [abstract] [BibTex]
    Abstract preview: We detect seven activities de&#64257;ned by TRECVID SED task such as CellToEar, Embrace, ObjectPut, PeopleMeet, PeopleSplitUp, PersonRuns, and Pointing. We employ two different strategies to detec ... more
  12. Santhoshkumar Sunderrajan, Niloufar Pourian, Mahmudul Hasan, Yingying Zhu, B.S. Manjunath and Amit Roy Chowdhury ,
    “Discriminative Reranking based Video Object Retrieval”,
    Trecvid Technical Report, 2012.
    [abstract] [BibTex]
    Abstract preview: For the instance search task, we are given a set of query images with the corresponding textual meta-data and objects masks to retrieve video shots containing query objects from FLICKR video database. ... more
  13. Robert J. Miller, John Hocevar, Robert P. Stone, Dmitry V. Fedorov,
    “Structure-Forming Corals and Sponges and Their Use as Fish Habitat in Bering Sea Submarine Canyons”,
    PLoS ONE, vol. 7, no. 3, 2012.
    [abstract] [PDF] [BibTex]
    Abstract preview: Continental margins are dynamic, heterogeneous settings that can include canyons, seamounts, and banks. Two of the largest canyons in the world, Zhemchug and Pribilof, cut into the edge of the contine ... more
  14. Vignesh Jagadeesh, Min Chi Shih, B.S.Manjunath and K.Rose,
    “Scalable Tracing of Electron Micrographs by Fusing Top Down and Bottom Up Cues using Hypergraph Diffusion”,
    International Conference on Medical Image Computing and Computer Assisted Intervention, 2012.
    [abstract] [PDF] [BibTex]
    Abstract preview: A novel framework for robust 3D tracing in Electron Micrographs is presented. The proposed framework is built using ideas from hypergraph diusion, and achieves two main objectives. Firstly, the approa ... more

2011

  1. S. Karthikeyan, Utkarsh Gaur, B.S. Manjunath, and Scott Grafton,
    “Probabilistic subspace-based learning of shape dynamics modes for multi-view action recognition”,
    International Conference on Computer Vision (ICCV) Workshop PERHAPS 2011, Barcelona, Spain, Nov. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a human action recognition algorithm by capturing a compact signature of shape dynamics from multi-view videos. First, we compute R transforms and its temporal velocity on action silhouett ... more
  2. Lakshmanan Nataraj, Vinod Yegneswaran, Phil Porras, Jian Zhang,
    “A Comparative Assessment of Malware Classification using Binary Texture Analysis and Dynamic Analysis”,
    Workshop on Artificial Intelligence and Security (AISec), Chicago, Oct. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: AI techniques play an important role in automated malware classification. Several machine-learning methods have been applied to classify or cluster malware into families, based on different features d ... more
  3. S. Karthikeyan, M.E. Sargin, S. Joshi, B.S. Manjunath and S. Grafton,
    “Generalized subspace based high dimensional density estimation”,
    International Conference on Image Processing, Brussels, Belgium, Sep. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: Our paper presents a novel high dimensional probability density estimation technique using any dimensionality reduction method. Our method first performs subspace reduction using any matrix factorizat ... more
  4. V Jagadeesh, N Vu, B.S. Manjunath,
    “Multiple Structure Tracing in 3D Electron Micrographs”,
    Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, Sep. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: Automatic interpretation of Transmission Electron Micrograph (TEM) volumes is central to advancing current understanding of neural circuitry. In the context of TEM image analysis, tracing 3D neuronal ... more
  5. B. Obara, M. Veeman, J.H. Choi, W. Smith and B.S. Manjunath,
    “Segmentation of ascidian notochord cells in DIC timelapse images ”,
    Microscopy Research and Technique, vol. 74, no. 8, pp. 727-734, Aug. 2011.
    [abstract] [BibTex]
  6. Goff Stephen A, Vaughn Matthew, McKay Sheldon, Lyons Eric, Stapleton Ann E, Gessler Damian, Matasci Naim, Wang Liya, Hanlon Matthew, Lenards Andrew, Muir Andy, Merchant Nirav, Lowry Sonya, Mock Stephen, Helmke Matthew, Kubach Adam, Narro Martha, Hopkins Nicole, Micklos David, Hilgert Uwe, Gonzales Michael, Jordan Chris, Skidmore Edwin, Dooley Rion, Cazes John, McLay Robert, Lu Zhenyuan, Pasternak Shiran, Koesterke Lars, Piel William H, Grene Ruth, Noutsos Christos, Gendler Karla, Feng Xin, Tang Chunlao, Lent Monica, Kim Seung-jin, Kvilekval Kristian, Manjunath B.S., Tannen Val, Stamatakis Alexandros, Sanderson Michael, Welch Stephen M, Cranston Karen, Soltis Pamela, Soltis Douglas, O'Meara Brian, Ane Cecile, Brutnell Tom, Kleibenstein Daniel J, White Jeffrey W, Leebens-Mack Jim, Donoghue Michael J, Spalding Edgar P, Vision Todd J, Myers Christopher R, Lowenthal David, Enquist Brian J, Boyle Brad, Akoglu Ali, Andrews Greg, Ram Sudha, Ware Doreen, Stein Lincoln, Stanzione Dan ,
    “The iPlant Collaborative: Cyberinfrastructure for Plant Biology”,
    Frontiers in Plant Science, vol. 2, no. 00034, Jul. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: The iPlant Collaborative (iPlant) is a United States National Science Foundation (NSF) funded project that aims to create an innovative, comprehensive, and foundational cyberinfrastructure in support ... more
  7. Lakshmanan Nataraj, S. Karthikeyan, Gregoire Jacob, B.S. Manjunath,
    “Malware Images: Visualization and Automatic Classification”,
    International Symposium on Visualization for Cyber Security (VizSec) , Jul. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: We propose a simple yet effective method for visualizing and classifying malware using image processing techniques. Malware binaries are visualized as gray-scale images, with the observation that for ... more
  8. Sarit Y. Lesnik Oberstein, Jiyun Byun, Diego Herrera, Ethan A. Chapin, Steven K. Fisher, Geoffrey P. Lewis,
    “Cell proliferation in human epiretinal membranes: characterization of cell types and correlation with disease condition and duration”,
    Molecular Vision, vol. 17, pp. 1794-1805, Jul. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: Purpose: To quantify the extent of cellular proliferation and immunohistochemically characterize the proliferating cell types in epiretinal membranes (ERMs) from four different conditions: proliferati ... more
  9. M.E. Sargin, A. Altinok, B.S. Manjunath and K. Rose,
    “Variable Length Open Contour Tracking Using a Deformable Trellis”,
    IEEE Transactions on Image Processing, vol. 20, no. 4, pp. 1023-1035, Apr. 2011.
    [abstract] [PDF] [BibTex]
  10. E. Kiris, D. Ventimiglia, M.E. Sargin, M.R. Gaylord, A. Altinok, K. Rose, B.S. Manjunath, M.A. Jordan, L. Wilson and S.C. Feinstein,
    “Combinatorial Tau Pseudophosphorylation”,
    The Journal of Biological Chemistry, vol. 286, no. 16, pp. 14257-14270, Apr. 2011.
    [abstract] [BibTex]
  11. G. Abdollahian, M. Veeman, W. Smith and B.S. Manjunath,
    “A curvicylindrical coordinate system for The Visualization and Segmentation of The Ascidian Tail”,
    2011 IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, Apr. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: State of the art biological imaging methods, such as confocal microscopy, create 3D volumes by sampling on a cartesian grid. This cartesian coordinate system is often not convenient for visualization ... more
  12. Diana Delibaltov, Pratim Ghosh, Michael Veeman, William Smith, and B.S. Manjunath,
    “AN AUTOMATIC FEATURE BASED MODEL FOR CELL SEGMENTATION FROM CONFOCAL MICROSCOPY VOLUMES”,
    2011 IEEE International Symposium on Biomedical Imaging (ISBI), Chicago, Apr. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: We present a model for the automated segmentation of cells from confocal microscopy volumes of biological samples. The segmentation task for these images is exceptionally challenging due to weak boun ... more
  13. A. Peck, M.E. Sargin, N.E. LaPointe, K. Rose, B.S. Manjunath, S.C. Feinstein, and L. Wilson,
    “Tau Isoform-specific Modulation of Kinesin-driven Microtubule Gliding Rates and Trajectories As Determined With Tau-stabilized Microtubules”,
    Cytoskeleton, vol. 68, pp. 44-55, Jan. 2011.
    [abstract] [PDF] [BibTex]
    Abstract preview: We have utilized tau-assembled and tau-stabilized microtubules (MTs), in the absence of taxol, to investigate the effects of tau isoforms with three and four MT binding repeats upon kinesin-driven MT ... more
  14. C. Kenney, B. S. Manjunath, M. Zuliani and K. Solanki,
    “Condition theory for image registration and post-registration error estimation”,
    Image Registration for Remote Sensing’ edited by Jacqueline LeMoigne, Nathan Netanyahu and Roger Eastman, pp. 200-214, Cambridge University Press, 2011.
    [abstract] [BibTex]
    Abstract preview: We present in this chapter applications of condition theory for image registration problems in a general framework that is easily adapted to a variety of image processing tasks. After summarizing the ... more

2010

  1. V Jagadeesh, S Karthikeyan, B.S.Manjunath,
    “Spatio-Temporal Optical Flow Statistics (STOFS) for Activity Classification”,
    Indian Conference on Computer Vision, Graphics and Image processing (ICVGIP) 2010, pp. 178--182, Chennai, India, Dec. 2010.
    [abstract] [PDF] [BibTex]
    Abstract preview: This paper presents a novel descriptor for activity classification. The intuition behind the descriptor is "learning" statistics of optical flow histograms (as opposed to learning "raw& ... more

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