Bohyung Han
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Bohyung Hancomputer-science Degrees
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Computational Linguistics
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Machine Learning
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Computer Science
Bohyung Han's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
- Bachelors Computer Science Seoul National University
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Why Is Bohyung Han Influential?
(Suggest an Edit or Addition)Bohyung Han's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Learning Deconvolution Network for Semantic Segmentation (2015) (3223)
- Learning Multi-domain Convolutional Neural Networks for Visual Tracking (2015) (2173)
- Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network (2015) (784)
- The Visual Object Tracking VOT2016 Challenge Results (2016) (702)
- Large-Scale Image Retrieval with Attentive Deep Local Features (2016) (578)
- The Visual Object Tracking VOT2015 Challenge Results (2018) (356)
- The Visual Object Tracking VOT2013 Challenge Results (2013) (333)
- Modeling and Propagating CNNs in a Tree Structure for Visual Tracking (2016) (317)
- Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation (2015) (313)
- Image Question Answering Using Convolutional Neural Network with Dynamic Parameter Prediction (2015) (305)
- Domain-Specific Batch Normalization for Unsupervised Domain Adaptation (2019) (261)
- Weakly Supervised Action Localization by Sparse Temporal Pooling Network (2017) (260)
- Multi-object Tracking with Quadruplet Convolutional Neural Networks (2017) (219)
- Real-Time MDNet (2018) (203)
- Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking (2008) (188)
- SEQUENTIAL KERNEL DENSITY APPROXIMATION THROUGH MODE PROPAGATION: APPLICATIONS TO BACKGROUND MODELING (2004) (162)
- Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization (2017) (148)
- Learning to Optimize Domain Specific Normalization for Domain Generalization (2019) (147)
- Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network (2015) (146)
- Density-Based Multifeature Background Subtraction with Support Vector Machine (2012) (145)
- Channel Attention Is All You Need for Video Frame Interpolation (2020) (144)
- BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks (2017) (141)
- Weakly Supervised Semantic Segmentation Using Web-Crawled Videos (2017) (138)
- The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results (2015) (132)
- Local-Global Video-Text Interactions for Temporal Grounding (2020) (127)
- On-line density-based appearance modeling for object tracking (2005) (121)
- Learning occlusion with likelihoods for visual tracking (2011) (115)
- Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network (2017) (108)
- Tracking-by-Segmentation with Online Gradient Boosting Decision Tree (2015) (107)
- Visual Reference Resolution using Attention Memory for Visual Dialog (2017) (96)
- Incremental density approximation and kernel-based Bayesian filtering for object tracking (2004) (87)
- MarioQA: Answering Questions by Watching Gameplay Videos (2016) (86)
- Generalized background subtraction based on hybrid inference by belief propagation and Bayesian filtering (2011) (86)
- Streamlined Dense Video Captioning (2019) (84)
- Online Multi-target Tracking by Large Margin Structured Learning (2012) (79)
- Stochastic Class-Based Hard Example Mining for Deep Metric Learning (2019) (77)
- Operation-Aware Soft Channel Pruning using Differentiable Masks (2020) (77)
- Text-Guided Attention Model for Image Captioning (2016) (77)
- The Visual Object Tracking VOT 2016 Challenge Results (2018) (73)
- Kernel-based Bayesian filtering for object tracking (2005) (72)
- Training Recurrent Answering Units with Joint Loss Minimization for VQA (2016) (68)
- Superpixel-Based Tracking-by-Segmentation Using Markov Chains (2017) (66)
- Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences (2018) (61)
- Modeling and segmentation of floating foreground and background in videos (2012) (60)
- Attentive Semantic Alignment with Offset-Aware Correlation Kernels (2018) (59)
- Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework (2009) (58)
- A fast nearest neighbor search algorithm by nonlinear embedding (2012) (55)
- Extracting Moving People from Internet Videos (2008) (50)
- Generalized Background Subtraction Using Superpixels with Label Integrated Motion Estimation (2014) (48)
- Object tracking by adaptive feature extraction (2004) (42)
- Bayesian Filtering and Integral Image for Visual Tracking (2005) (41)
- Efficient extraction of human motion volumes by tracking (2010) (40)
- URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark (2020) (40)
- Online Graph-Based Tracking (2014) (39)
- Object Localization based on Structural SVM using Privileged Information (2014) (39)
- Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering (2007) (37)
- Progressive Attention Networks for Visual Attribute Prediction (2016) (37)
- CoSMo: Content-Style Modulation for Image Retrieval with Text Feedback (2021) (36)
- Joint Image Clustering and Labeling by Matrix Factorization (2016) (34)
- CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps (2018) (33)
- Personalized video summarization with human in the loop (2011) (33)
- InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering (2021) (32)
- Learning to Specialize with Knowledge Distillation for Visual Question Answering (2018) (31)
- Hierarchical Attention Networks (2016) (30)
- Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision (2017) (30)
- Motion Effects Synthesis for 4D Films (2016) (29)
- Task-Aware Quantization Network for JPEG Image Compression (2020) (29)
- Visual Tracking by Sampling Tree-Structured Graphical Models (2014) (28)
- Learning Student-Friendly Teacher Networks for Knowledge Distillation (2021) (28)
- Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud (2020) (27)
- Scenario-based video event recognition by constraint flow (2011) (27)
- Improving object localization using macrofeature layout selection (2011) (27)
- Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation (2022) (26)
- Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation (2019) (25)
- Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform (2021) (25)
- Real-Time Subspace-Based Background Modeling Using Multi-channel Data (2007) (24)
- Exemplar-Based Open-Set Panoptic Segmentation Network (2021) (23)
- Orderless Tracking through Model-Averaged Posterior Estimation (2013) (23)
- Image Retrieval with Deep Local Features and Attention-based Keypoints (2016) (22)
- Probabilistic fusion-based parameter estimation for visual tracking (2009) (21)
- Towards Oracle Knowledge Distillation with Neural Architecture Search (2019) (21)
- Context-Aware Zero-Shot Recognition (2019) (21)
- Traffic Accident Benchmark for Causality Recognition (2020) (19)
- Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning (2019) (18)
- Combinatorial Inference against Label Noise (2019) (17)
- Transfer Learning via Unsupervised Task Discovery for Visual Question Answering (2018) (17)
- Multi-agent Event Detection: Localization and Role Assignment (2013) (17)
- AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results (2019) (16)
- Joint Segmentation and Pose Tracking of Human in Natural Videos (2013) (16)
- Interactive motion effects design for a moving object in 4D films (2016) (14)
- Unsupervised Co-Activity Detection from Multiple Videos Using Absorbing Markov Chain (2016) (14)
- Online Video Segmentation by Bayesian Split-Merge Clustering (2012) (14)
- Class-Incremental Learning for Action Recognition in Videos (2021) (13)
- Robust observations for object tracking (2005) (13)
- Multi-Camera Tracking with Adaptive Resource Allocation (2010) (13)
- Personalized Image Aesthetic Quality Assessment by Joint Regression and Ranking (2017) (13)
- Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework (2015) (12)
- Seam carving with forward gradient difference maps (2012) (11)
- Fine-Grained Neural Architecture Search (2019) (10)
- Weakly Supervised Instance Segmentation by Deep Community Learning (2020) (9)
- Reinforcing an Image Caption Generator Using Off-Line Human Feedback (2019) (9)
- On-Line Video Event Detection by Constraint Flow (2014) (9)
- Learning Debiased and Disentangled Representations for Semantic Segmentation (2021) (9)
- Unsupervised Learning of Debiased Representations with Pseudo-Attributes (2021) (9)
- BranchOut: Regularization for Online Ensemble Tracking with CNNs (2017) (9)
- Self-Supervised Dense Consistency Regularization for Image-to-Image Translation (2022) (8)
- Adaptive Background Modeling and Subtraction: A Density-Based Approach with Multiple Features (2009) (7)
- Efficient Decoupled Neural Architecture Search by Structure And Operation Sampling (2019) (6)
- Density-Based Multi-Feature Background Subtraction with Support Vector Machine (2011) (5)
- Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection (2018) (5)
- Information-Theoretic Bias Reduction via Causal View of Spurious Correlation (2022) (5)
- Communication-Efficient Federated Learning with Acceleration of Global Momentum (2022) (5)
- Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking (2011) (5)
- RaScaNet: Learning Tiny Models by Raster-Scanning Images (2021) (4)
- Learning to Adapt to Unseen Abnormal Activities Under Weak Supervision (2022) (4)
- Product Quantized Translation for Fast Nearest Neighbor Search (2018) (4)
- MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators (2021) (3)
- Multi-Level Branched Regularization for Federated Learning (2022) (3)
- Adaptive Kernel Density Approximation and Its Applications to Real-Time Computer Vision (2005) (3)
- Rank-based voting with inclusion relationship for accurate image search (2017) (3)
- Semi-Parametric Model-Based Clustering for DNA Microarray Data (2006) (3)
- Occlusion detection using horizontally segmented windows for vehicle tracking (2013) (3)
- Learning Semantic Segmentation from Multiple Datasets with Label Shifts (2022) (3)
- Weakly Supervised Instance Segmentation by Deep Multi-Task Community Learning (2020) (3)
- Adaptive Resource Management for Sensor Fusion in Visual Tracking (2016) (2)
- Randomized Adversarial Style Perturbations for Domain Generalization (2023) (2)
- Macrofeature layout selection for pedestrian localization and its acceleration using GPU (2014) (2)
- Fine-grained neural architecture search for image super-resolution (2022) (2)
- Towards Sequence-Level Training for Visual Tracking (2022) (1)
- Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking (2022) (1)
- Pooling Revisited: Your Receptive Field is Suboptimal (2022) (1)
- Appearance-Based Human Tracking: Traditional Approaches (2021) (0)
- Adaptive Feature Extraction with Haar-like Features for Visual Tracking Seunghoon (2010) (0)
- Information-Theoretic GAN Compression with Variational Energy-based Model (2023) (0)
- Exemplar-Based Open-Set Panoptic Segmentation Network Supplementary Materials (2021) (0)
- ContraNeRF: 3D-Aware Generative Model via Contrastive Learning with Unsupervised Implicit Pose Embedding (2023) (0)
- Cross-Class Feature Augmentation for Class Incremental Learning (2023) (0)
- FaceReview: Supporting Interactive Exploration of Linked Heterogeneous Datasets for Unilateral Cleft Lip and Palate (2012) (0)
- Variational Distribution Learning for Unsupervised Text-to-Image Generation (2023) (0)
- Knowledge-based Visual Context-Aware Framework for Applications in Robotic Services (2023) (0)
- Extended Support Vector Machines for Object Detection and Localization (2012) (0)
- Occlusion detection using horizontally segmented windows for vehicle tracking (2014) (0)
- Beyond homography: nonparametric image alignment via graph convolutional networks (2022) (0)
- Open-Set Representation Learning through Combinatorial Embedding (2021) (0)
- Rank-based voting with inclusion relationship for accurate image search (2017) (0)
- Appearance-Based Human Tracking (2014) (0)
- Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition (2023) (0)
- Workshop on Detection and Tracking in Challenging Environments (DTCE) (2013) (0)
- Online Backfilling with No Regret for Large-Scale Image Retrieval (2023) (0)
- End-to-End Learning for Weakly Supervised Video Anomaly Detection Using Absorbing Markov Chain (2022) (0)
- Cross-Modal Prediction Consistency based Self-Training for Unsupervised Domain Adaptation (2019) (0)
- Image retrieval via CNNs in TensorFlow 2 (2021) (0)
- On the Stability-Plasticity Dilemma of Class-Incremental Learning (2023) (0)
- Qualitative Tracking Performance Evaluation without Ground-Truth (2015) (0)
- Regularizing Neural Networks via Stochastic Branch Layers (2019) (0)
- Multi-Modal Representation Learning with Text-Driven Soft Masks (2023) (0)
- Ensemble Modeling with Convolutional Neural Networks for Application in Visual Object Tracking (2021) (0)
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What Schools Are Affiliated With Bohyung Han?
Bohyung Han is affiliated with the following schools:
