Index for kwak

Kwak, B.M. * 2008: Precrash Dipping Nose (PCDN) Needs Pedestrian Recognition

Kwak, C.H. * 2017: Online MoCap Data Coding With Bit Allocation, Rate Control, and Motion-Adaptive Post-Processing

Kwak, D. * 2011: Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners
* 2024: Optimizing Terrain Classification Methods for the Determination of Bedrock Depth and the Average Shear Wave Velocity of Soil
Includes: Kwak, D. Kwak, D.[Dongyoup]

Kwak, D.A. * 2007: Estimation of LAI Using LiDAR Remote Sensing in Forest

Kwak, D.H.[Dong Hyun] * 2023: Dialog Must Go On: Improving Visual Dialog via Generative Self-Training, The
Includes: Kwak, D.H.[Dong Hyun] Kwak, D.H.[Dong-Hyun]

Kwak, D.M.[Dong Min] * 2003: Robust digital image watermarking method against geometrical attacks
Includes: Kwak, D.M.[Dong Min] Kwak, D.M.[Dong-Min]

Kwak, E.[Eunju] * 2011: Adaptive Approach for Segmentation of 3D Laser Point Cloud, An
* 2012: Automatic 3d Building Model Generation From Lidar And Image Data Using Sequential Minimum Bounding Rectangle
* 2012: Implication of the number of utilized images on the quality of generated building models using model-based image fitting
* 2014: Automatic representation and reconstruction of DBM from LiDAR data using Recursive Minimum Bounding Rectangle
Includes: Kwak, E.[Eunju] Kwak, E.

Kwak, G.H.[Geun Ho] * 2021: Potential of Hybrid CNN-RF Model for Early Crop Mapping with Limited Input Data
* 2022: Unsupervised Domain Adaptation with Adversarial Self-Training for Crop Classification Using Remote Sensing Images
* 2024: Assessing the Potential of Multi-Temporal Conditional Generative Adversarial Networks in SAR-to-Optical Image Translation for Early-Stage Crop Monitoring
Includes: Kwak, G.H.[Geun Ho] Kwak, G.H.[Geun-Ho]

Kwak, H.[Hantak] * 2013: Superpixel Coherency and Uncertainty Models for Semantic Segmentation

Kwak, H.B.[Hyo Bin] * 2019: HanFont: large-scale adaptive Hangul font recognizer using CNN and font clustering
Includes: Kwak, H.B.[Hyo Bin] Kwak, H.B.[Hyo-Bin]

Kwak, H.S. * 1997: Multiple Moving Object Estimation in Image Sequences of a Natural Scene

Kwak, H.W.[Hyun Wook] * 2005: Multi-level Thresholding Using Entropy-Based Weighted FCM Algorithm in Color Image
* 2005: Segmentation and Recognition of Traffic Signs Using Shape Information
Includes: Kwak, H.W.[Hyun Wook] Kwak, H.W.[Hyun-Wook]

Kwak, I.S.[Iljung S.] * 2012: Urban tribes: Analyzing group photos from a social perspective
* 2013: Face Box Shape and Verification
* 2013: From Bikers to Surfers: Visual Recognition of Urban Tribes
* 2015: Learning Concept Embeddings with Combined Human-Machine Expertise
* 2020: Detecting the Starting Frame of Actions in Video
Includes: Kwak, I.S.[Iljung S.] Kwak, I.S.

Kwak, I.Y.[Il Youp] * 2021: ResMax: Detecting Voice Spoofing Attacks with Residual Network and Max Feature Map
* 2022: Light-weight Frequency Information Aware Neural Network Architecture for Voice Spoofing Detection
Includes: Kwak, I.Y.[Il Youp] Kwak, I.Y.[Il-Youp]

Kwak, J.[Jaekeun] * 2014: Standardizing 3D Medical Imaging
* 2016: Facial landmark detection based on an ensemble of local weighted regressors during real driving situation
* 2020: Automatic 3D Landmark Extraction System Based on an Encoder-Decoder Using Fusion of Vision and LiDAR
* 2021: DeepLabV3-Refiner-Based Semantic Segmentation Model for Dense 3D Point Clouds
* 2021: SS-IL: Separated Softmax for Incremental Learning
* 2022: 3D Object Recognition Method From LiDAR Point Cloud Based on USAE-BLS, A
* 2022: Selective TransHDR: Transformer-Based Selective HDR Imaging Using Ghost Region Mask
Includes: Kwak, J.[Jaekeun] Kwak, J.[Joon_Young] Kwak, J.[Jeonghoon] Kwak, J.[Jihwan] Kwak, J.[Jaeho]
7 for Kwak, J.

Kwak, J.G.[Jeong Gi] * 2020: Cafe-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
* 2022: DIFAI: Diverse Facial Inpainting using StyleGAN Inversion
* 2022: Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis
* 2024: Towards high-fidelity facial UV map generation in real-world
Includes: Kwak, J.G.[Jeong Gi] Kwak, J.G.[Jeong-Gi]

Kwak, J.H.[Jae Hee] * 2013: Cross residual transform for lossless intra-coding for HEVC

Kwak, J.S.[Jin Suk] * 1997: Apparatus for estimating a half-pel motion in a video compression method
* 2001: Moving object segmentation in video sequences by user interaction and automatic object tracking
* 2004: Infrared transmission for intervehicle ranging and vehicle-to-roadside communication systems using spread-spectrum technique
* 2004: Method for objects segmentation in video sequences by object tracking and user assistance
Includes: Kwak, J.S.[Jin Suk] Kwak, J.S.

Kwak, J.T. * 2018: Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound
* 2018: Micro and Macro Breast Histology Image Analysis by Partial Network Re-use
* 2020: Fusarium Wilt of Radish Detection Using RGB and Near Infrared Images from Unmanned Aerial Vehicles
* 2020: Multi-Organ Nucleus Segmentation Challenge, A
* 2022: Impash: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification
* 2023: Order-ViT: Order Learning Vision Transformer for Cancer Classification in Pathology Images
Includes: Kwak, J.T. Kwak, J.T.[Jin Tae]

Kwak, J.W.[Jung Won] * 2003: Relevance feedback in content-based image retrieval system by selective region growing in the feature space

Kwak, J.Y.[Joon Young] * 2015: Multi-person Tracking Based on Body Parts and Online Random Ferns Learning of Thermal Images
* 2017: Pedestrian Tracking Using Online Boosted Random Ferns Learning in Far-Infrared Imagery for Safe Driving at Night
Includes: Kwak, J.Y.[Joon Young] Kwak, J.Y.[Joon-Young]

Kwak, K.[Kiho] * 2016: Online Approximate Model Representation Based on Scale-Normalized and Fronto-Parallel Appearance
* 2018: Dynamic Rate Allocation and Forwarding Strategy Adaption for Wireless Networks
Includes: Kwak, K.[Kiho] Kwak, K.

Kwak, K.C.[Keun Chang] * 2004: Face Recognition Using Fuzzy Integral and Wavelet Decomposition Method
* 2005: Face recognition using a fuzzy fisherface classifier
* 2005: Face recognition: A study in information fusion using fuzzy integral
* 2006: Deterioration of visual information in face classification using Eigenfaces and Fisherfaces
* 2008: Sound Localization Based on Excitation Source Information for Intelligent Home Service Robots
Includes: Kwak, K.C.[Keun Chang] Kwak, K.C.[Keun-Chang]

Kwak, K.S. * 2016: Optimal Energy Harvesting-Ratio and Beamwidth Selection in Millimeter Wave Communications
* 2023: Spatial-Index Modulation Based Orthogonal Time Frequency Space System in Vehicular Networks
Includes: Kwak, K.S. Kwak, K.S.[Kyung Sup]

Kwak, K.Y. * 1985: Iterative Reconstruction-Reprojection in Projection Space
* 1995: Projection-based eigenvector decomposition for reduction of blocking artifacts of DCT coded image
Includes: Kwak, K.Y. Kwak, K.Y.[Kook Yeon]

Kwak, M.H.[Min Ho] * 2023: Convolution Block Feature Addition Module (CBFAM) for Lightweight and Fast Object Detection on Non-GPU Devices

Kwak, N.[Nojun] * 2008: Pixel selection in a face image based on discriminant features for face recognition
* 2009: Feature extraction for one-class classification problems: Enhancements to biased discriminant analysis
* 2012: Pixel selection based on discriminant features with application to face recognition
* 2013: Generalization of linear discriminant analysis using -norm
* 2013: Generalized Mean For Feature Extraction in One-Class Classification Problems
* 2015: Character recognition for the machine reader zone of electronic identity cards
* 2015: Cultural event recognition by subregion classification with convolutional neural network
* 2015: Illumination robust optical flow estimation by illumination-chromaticity decoupling
* 2015: Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering
* 2016: Generalized mean for robust principal component analysis
* 2017: Online recognition of handwritten music symbols
* 2018: Broadcasting Convolutional Network for Visual Relational Reasoning
* 2018: Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams
* 2018: Image Restoration by Estimating Frequency Distribution of Local Patches
* 2018: Independent component analysis by lp-norm optimization
* 2018: Motion Feature Network: Fixed Motion Filter for Action Recognition
* 2018: Procrustean Regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation
* 2019: Comprehensive Overhaul of Feature Distillation, A
* 2019: Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation
* 2020: Error Correction Regression Framework for Enhancing the Decoding Accuracies of Ear-EEG Brain-Computer Interfaces
* 2020: Kl-Divergence-Based Region Proposal Network For Object Detection
* 2020: LSQ+: Improving low-bit quantization through learnable offsets and better initialization
* 2020: Procrustean Regression Networks: Learning 3d Structure of Non-rigid Objects from 2d Annotations
* 2020: SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder
* 2020: StackNet: Stacking feature maps for Continual learning
* 2020: Unpriortized Autoencoder For Image Generation
* 2021: Feature Fusion for Online Mutual Knowledge Distillation
* 2021: Interpolation-based Semi-supervised Learning for Object Detection
* 2021: Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
* 2021: LFI-CAM: Learning Feature Importance for Better Visual Explanation
* 2021: Normalization Matters in Weakly Supervised Object Localization
* 2021: Phase Selective Convolution
* 2021: Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image
* 2022: Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
* 2022: Few-Shot Image Generation with Mixup-Based Distance Learning
* 2022: Few-Shot Object Detection by Attending to Per-Sample-Prototype
* 2022: Imposing Consistency for Optical Flow Estimation
* 2022: MatteFormer: Transformer-Based Image Matting via Prior-Tokens
* 2022: Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation
* 2022: MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
* 2022: Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box
* 2023: Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation
* 2023: FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis
* 2023: Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
* 2023: MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
* 2023: Self-Distilled Self-supervised Representation Learning
* 2024: Fast Sun-aligned Outdoor Scene Relighting based on TensoRF
Includes: Kwak, N.[Nojun] Kwak, N.
47 for Kwak, N.

Kwak, N.J.[No Jun] * 2002: Face recognition using feature extraction based on independent component analysis
* 2002: Input Feature Selection by Mutual Information Based on Parzen Window
* 2008: Feature Extraction for Classification Problems and Its Application to Face Recognition
* 2008: Feature Extraction for Regression Problems and an Example Application for Pose Estimation of a Face
* 2008: Principal Component Analysis Based on L1-Norm Maximization
* 2011: Face recognition based on 2D images under illumination and pose variations
* 2012: Kernel discriminant analysis for regression problems
* 2014: Principal Component Analysis by L_p-Norm Maximization
* 2016: 3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
* 2016: Analysis on the Dropout Effect in Convolutional Neural Networks
* 2017: Athlete Pose Estimation by a Global-Local Network
* 2020: Seqhand: RGB-sequence-based 3d Hand Pose and Shape Estimation
Includes: Kwak, N.J.[No Jun] Kwak, N.J.[No-Jun]
12 for Kwak, N.J.

Kwak, S. * 2000: Video Caption Image Enhancement for an Efficient Character Recognition
* 2010: Moving-object segmentation using a foreground history map
* 2011: Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking
* 2011: Generalized background subtraction based on hybrid inference by belief propagation and Bayesian filtering
* 2011: Learning occlusion with likelihoods for visual tracking
* 2011: Scenario-based video event recognition by constraint flow
* 2012: Online Multi-target Tracking by Large Margin Structured Learning
* 2012: Online Video Segmentation by Bayesian Split-Merge Clustering
* 2013: 3D mesh and multi-view synthesis implementation using stereo cameras and a depth camera
* 2013: Low-Power Fractional-Order Synchronizer for Syncless Time-Sequential Synchronization of 3-D TV Active Shutter Glasses, A
* 2013: Multi-agent Event Detection: Localization and Role Assignment
* 2013: Orderless Tracking through Model-Averaged Posterior Estimation
* 2013: Recognizing human-human interaction activities using visual and textual information
* 2013: Wildfire smoke detection using spatiotemporal bag-of-features of smoke
* 2014: On-Line Video Event Detection by Constraint Flow
* 2015: Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals
* 2015: Unsupervised Object Discovery and Tracking in Video Collections
* 2016: Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation
* 2017: Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision
* 2017: Weakly Supervised Semantic Segmentation Using Web-Crawled Videos
* 2018: Driver Facial Landmark Detection in Real Driving Situations
* 2018: Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection
* 2018: Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation
* 2018: Universal Bounding Box Regression and Its Applications
* 2019: Deep Metric Learning Beyond Binary Supervision
* 2019: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
* 2019: Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations
* 2020: Learning Discriminative Part Features Through Attentions For Effective And Scalable Person Search
* 2020: Motionsqueeze: Neural Motion Feature Learning for Video Understanding
* 2020: Proxy Anchor Loss for Deep Metric Learning
* 2020: URIE: Universal Image Enhancement for Visual Recognition in the Wild
* 2021: ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer
* 2021: Embedding Transfer with Label Relaxation for Improved Metric Learning
* 2021: Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition
* 2021: Neural Contrast Enhancement of CT Image
* 2021: Travel Time Prediction for Congested Freeways With a Dynamic Linear Model
* 2022: Collaborative Transformers for Grounded Situation Recognition
* 2022: Combating Label Distribution Shift for Active Domain Adaptation
* 2022: Cross-domain Ensemble Distillation for Domain Generalization
* 2022: Detector-Free Weakly Supervised Group Activity Recognition
* 2022: Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
* 2022: FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
* 2022: Learning to Detect Semantic Boundaries with Image-Level Class Labels
* 2022: Reflection and Rotation Symmetry Detection via Equivariant Learning
* 2022: ReSTR: Convolution-free Referring Image Segmentation Using Transformers
* 2022: Self-Taught Metric Learning without Labels
* 2022: Semi-supervised Semantic Segmentation with Error Localization Network
* 2022: Style Neophile: Constantly Seeking Novel Styles for Domain Generalization
* 2022: Weighted 3D volume reconstruction from series of slice data using a modified Allen-Cahn equation
* 2023: Adaptive Superpixel for Active Learning in Semantic Segmentation
* 2023: HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
* 2023: Human Pose Estimation in Extremely Low-Light Conditions
* 2023: Improving Cross-Modal Retrieval with Set of Diverse Embeddings
* 2023: Machine-Attention-based Video Coding for Machines
* 2023: PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
* 2023: Shatter and Gather: Learning Referring Image Segmentation with Text Supervision
* 2024: Instantaneous Extraction of Indoor Environment from Radar Sensor-Based Mapping
* 2024: Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation
* 2024: Optical Flow Domain Adaptation via Target Style Transfer
* 2024: Self-supervised Learning of Semantic Correspondence Using Web Videos
Includes: Kwak, S. Kwak, S.[Sooyeong] Kwak, S.[Suha] Kwak, S.[Soo_Yeong] Kwak, S.[Semin] Kwak, S.[Soobin] Kwak, S.[Sangwoon] Kwak, S.[Seungheon]
60 for Kwak, S.

Kwak, S.H.[Sang Hoon] * 2008: Novel Hardware Architecture of Intra-Predictor Generator for H.264/AVC Codec, A
Includes: Kwak, S.H.[Sang Hoon] Kwak, S.H.[Sang-Hoon]

Kwak, S.K.[Sung Keun] * 2023: NTIRE 2023 Challenge on Night Photography Rendering

Kwak, S.M.[Sang Min] * 2005: Joint optimization of the motion estimation module and the up/down scaler in transcoders
* 2007: Efficient Rate Control Scheme Using Complexity of Macro Block for MPEG-2 Transcoder
Includes: Kwak, S.M.[Sang Min] Kwak, S.M.[Sang-Min]

Kwak, S.Y.[Soo Yeong] * 2004: SVM-based salient region(s) extraction method for image retrieval

Kwak, W.I. * 1988: Class of Adaptive Model- and Object-Driven Nonuniform Sampling Methods for 3-D Inspection, A

Kwak, Y. * 2016: Object-based Classification And Change Detection Of Hokkaido, Japan
* 2016: Rapid Exposure Assessment Of Nationwide River Flood For Disaster Risk Reduction
* 2018: Community-based Nationwide Capacity Building for GIS-based Integrated Flood Management
* 2018: Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion
* 2019: Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone, A
* 2019: Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
* 2023: ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
* 2023: Robust Face Anti-Spoofing Framework with Convolutional Vision Transformer
Includes: Kwak, Y. Kwak, Y.[Youngjun]
8 for Kwak, Y.

Kwak, Y.J.[Young Joo] * 2015: Prompt Proxy Mapping of Flood Damaged Rice Fields Using MODIS-Derived Indices
* 2017: Nationwide Flood Monitoring for Disaster Risk Reduction Using Multiple Satellite Data
* 2018: Analysis of Hydrological Sensitivity for Flood Risk Assessment
* 2018: Flash Flood Mapping for Mountain Streams Using High-resolution Alos-2 Data
* 2023: RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning
Includes: Kwak, Y.J.[Young Joo] Kwak, Y.J.[Young-Joo] Kwak, Y.J. Kwak, Y.J.[Young-Jun]

Kwak, Y.K.[Yoon Keun] * 2005: Fast correlation-based stereo matching with the reduction of systematic errors

Kwak, Y.M.[Young Min] * 2007: Efficient and Realistic Cumulus Cloud Simulation Based on Similarity Approach
Includes: Kwak, Y.M.[Young Min] Kwak, Y.M.[Young-Min]

Kwakkernaat, M.R.J.A.E. * 2012: Cooperative Competition for Future Mobility

Index for "k"


Last update: 2-May-24 21:08:06
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