Kankaanhuhta, V.
* 2020: Using Multitemporal Hyper- and Multispectral UAV Imaging for Detecting Bark Beetle Infestation on Norway Spruce
Kankanala, L.[Laxmi]
* 2007: Hybrid Approaches for Clustering
Kankanamge, S.
* 2017: Facial analysis in the wild with LSTM networks
Kankanhalli, A.
* 1993: Automatic partitioning of full-motion video
* 1994: Using Texture for Image Retrieval
* 1994: Video Database System for Digital Libraries, A
Kankanhalli, M.[Mohan]
* 1900: Monocular Image-Based 3-D Model Retrieval: A Benchmark
* 2004: Key-based melody segmentation for popular songs
* 2009: Context-Based Multimedia Sensor Selection Method
* 2009: Flexible Surveillance System Architecture, A
* 2009: robust framework for aligning lecture slides with video, A
* 2010: Eye Fixation Database for Saliency Detection in Images, An
* 2012: Adaptive Workload Equalization in Multi-Camera Surveillance Systems
* 2012: Depth Matters: Influence of Depth Cues on Visual Saliency
* 2013: Image Re-Attentionizing
* 2014: Audio Matters in Visual Attention
* 2014: CAVVA: Computational Affective Video-in-Video Advertising
* 2015: bio-inspired center-surround model for salience computation in images, A
* 2015: Salience computation in images based on perceptual distinctness
* 2016: Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps
* 2017: Benchmarking a Multimodal and Multiview and Interactive Dataset for Human Action Recognition
* 2017: Hierarchical & multimodal video captioning: Discovering and transferring multimodal knowledge for vision to language
* 2017: Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition
* 2017: Multi-Camera Action Dataset for Cross-Camera Action Recognition Benchmarking
* 2019: Dual-Stream Recurrent Neural Network for Video Captioning
* 2019: multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface, A
* 2020: Egocentric Analysis of Dash-Cam Videos for Vehicle Forensics
* 2020: Evaluating salient object detection in natural images with multiple objects having multi-level saliency
* 2020: Multimedia Data Privacy Against Machines
* 2020: Unsupervised Online Video Object Segmentation With Motion Property Understanding
* 2021: Matrix Factorization Based Framework for Fusion of Physical and Social Sensors, A
* 2021: new DCT-PCM method for license plate number detection in drone images, A
* 2021: Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos
* 2021: Scene Graph Inference via Multi-Scale Context Modeling
* 2021: Unsupervised Abstract Reasoning for Raven's Problem Matrices
* 2022: Chairs Can Be Stood On: Overcoming Object Bias in Human-Object Interaction Detection
* 2022: Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition
* 2022: Entropy guided attention network for weakly-supervised action localization
* 2022: Recognition of Advertisement Emotions With Application to Computational Advertising
* 2022: Understanding Atomic Hand-Object Interaction With Human Intention
* 2023: Disentangled Multimodal Representation Learning for Recommendation
* 2023: DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
* 2023: Joint Answering and Explanation for Visual Commonsense Reasoning
* 2023: Point Spatio-Temporal Transformer Networks for Point Cloud Video Modeling
* 2023: PointListNet: Deep Learning on 3D Point Lists
* 2024: Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering
* 2024: Multi-Modal Meta-Transfer Fusion Network for Few-Shot 3D Model Classification
* 2024: Privacy-Enhancing Person Re-identification Framework: A Dual-Stage Approach
Includes: Kankanhalli, M.[Mohan] Kankanhalli, M.
42 for Kankanhalli, M.
Kankanhalli, M.S.
* 1993: Adaptive Dominant Point Detection Algorithm for Digital Curves, An
* 1994: Efficient Linear Octree Generation from Voxels
* 1995: Color Matching For Image Retrieval
* 1996: Cluster-Based Color Matching for Image Retrieval
* 1999: Color and spatial feature for content-based image retrieval
* 2000: Video Summarization Using R-Sequences
* 2003: Automatically generating summaries for musical video
* 2003: Fractional scaling of image and video in DCT domain
* 2003: Lossless Watermarking Considering the Human Visual System
* 2004: Goal detection in soccer video using audio/visual keywords
* 2004: new approach to automatic music video summarization, A
* 2004: Visual keywords labeling in soccer video
* 2005: Coopetitive visual surveillance using model predictive control
* 2005: Timeline-based information assimilation in multimedia surveillance and monitoring systems
* 2006: design methodology for selection and placement of sensors in multimedia surveillance systems, A
* 2006: Multimedia Surveillance and Monitoring
* 2008: Application Potential of Multimedia Information Retrieval
* 2008: Coopetitive multi-camera surveillance using model predictive control
* 2008: Integrated Detect-Track Framework for Multi-view Face Detection in Video
* 2009: On the Security of an MPEG-Video Encryption Scheme Based on Secret Huffman Tables
* 2010: Authentication Mechanism Using Chinese Remainder Theorem for Efficient Surveillance Video Transmission, An
* 2010: Functionality Delegation in Distributed Surveillance Systems
* 2011: Design issues in multi-camera systems
* 2012: Robust Watermarking of Compressed and Encrypted JPEG2000 Images
* 2013: Multimedia Fusion With Mean-Covariance Analysis
* 2013: Seeing through the fence: Image de-fencing using a video sequence
* 2014: Action and Interaction Recognition in First-Person Videos
* 2014: Discovering Person Identity via Large-Scale Observations
* 2015: Competence-Based Song Recommendation: Matching Songs to One's Singing Skill
* 2015: Face Search in Encrypted Domain
* 2015: multimodal approach for image de-fencing and depth inpainting, A
* 2016: Detection and removal of fence occlusions in an image using a video of the static/dynamic scene
* 2017: ClickSmart: A Context-Aware Viewpoint Recommendation System for Mobile Photography
* 2017: Dual-Glance Model for Deciphering Social Relationships
* 2018: Emotional Attention: A Study of Image Sentiment and Visual Attention
* 2018: Spring-Electric Graph Model for Socialized Group Photography, A
* 2019: Emotion-Aware Human Attention Prediction
* 2019: Learning to Detect Human-Object Interactions With Knowledge
* 2019: Learning to Learn From Noisy Labeled Data
* 2019: Multi-Modal and Multi-Domain Embedding Learning for Fashion Retrieval and Analysis
* 2020: GradMix: Multi-source Transfer across Domains and Tasks
* 2020: Interact as You Intend: Intention-Driven Human-Object Interaction Detection
* 2020: n-reference Transfer Learning for Saliency Prediction
* 2020: Photography and Exploration of Tourist Locations Based on Optimal Foraging Theory
* 2020: Video Storytelling: Textual Summaries for Events
* 2020: Visual Social Relationship Recognition
* 2020: Weakly-Supervised Multi-Person Action Recognition in 360° Videos
* 2021: Adversarial Learning for Personalized Tag Recommendation
* 2021: DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning
* 2021: Direction Concentration Learning: Enhancing Congruency in Machine Learning
* 2021: Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions
* 2021: Toward Multi-Modal Conditioned Fashion Image Translation
* 2022: Relation-Aware Compositional Zero-Shot Learning for Attribute-Object Pair Recognition
* 2022: Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation with Reliable Voted Pseudo Labels
* 2022: Superclass-aware network for few-shot learning
* 2022: Video Snapshot Compressive Imaging Using Residual Ensemble Network
* 2023: Emotional Attention: From Eye Tracking to Computational Modeling
* 2023: Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks
* 2023: Learning to Minimize the Remainder in Supervised Learning
* 2023: Semantic-Aware Triplet Loss for Image Classification
* 2023: When and Why Static Images Are More Effective Than Videos
Includes: Kankanhalli, M.S. Kankanhalli, M.S.[Mohan S.]
61 for Kankanhalli, M.S.
Kankare, V.[Ville]
* 2011: Biomass Estimation of Individual Trees Using Stem and Crown Diameter TLS Measurements
* 2011: Fusion of Individual Tree Detection and Visual Interpretation in Assessment of Forest Variables from Laser Point Clouds, The
* 2012: Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data
* 2013: Area-Based Mapping of Defoliation of Scots Pine Stands Using Airborne Scanning LiDAR
* 2013: Individual Tree Biomass Estimation Using Terrestrial Laser Scanning
* 2013: Retrieval of Forest Aboveground Biomass and Stem Volume with Airborne Scanning LiDAR
* 2013: Single tree biomass modelling using airborne laser scanning
* 2014: Accuracy in Estimation of Timber Assortments and Stem Distribution: A Comparison of Airborne and Terrestrial Laser Scanning Techniques
* 2014: Automated Stem Curve Measurement Using Terrestrial Laser Scanning
* 2014: Multisource Single-Tree Inventory in the Prediction of Tree Quality Variables and Logging Recoveries
* 2014: Prediction of Forest Stand Attributes Using TerraSAR-X Stereo Imagery
* 2014: TerraSAR-X Stereo Radargrammetry and Airborne Scanning LiDAR Height Metrics in Imputation of Forest Aboveground Biomass and Stem Volume
* 2015: Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes
* 2015: Diameter distribution estimation with laser scanning based multisource single tree inventory
* 2016: Terrestrial laser scanning in forest inventories
* 2017: Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees
* 2018: International benchmarking of terrestrial laser scanning approaches for forest inventories
* 2019: Detecting and characterizing downed dead wood using terrestrial laser scanning
* 2019: Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests
* 2020: Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands
* 2020: Performance of terrestrial laser scanning to characterize managed Scots pine (Pinus sylvestris L.) stands is dependent on forest structural variation
* 2020: Structural Changes in Boreal Forests Can Be Quantified Using Terrestrial Laser Scanning
* 2022: Feasibility of Bi-Temporal Airborne Laser Scanning Data in Detecting Species-Specific Individual Tree Crown Growth of Boreal Forests
* 2022: Terrestrial Laser Scanning in Assessing the Effect of Different Thinning Treatments on the Competition of Scots Pine (Pinus sylvestris L.) Forests
Includes: Kankare, V.[Ville] Kankare, V.
24 for Kankare, V.
Kankiewicz, J.A.[J. Adam]
* 2007: Dual-Satellite Cloud Product Generation Using Temporally Updated Canonical Coordinate Features
Kankuekul, P.[Pichai]
* 2012: Online incremental attribute-based zero-shot learning