Bohyung Han
99 papers · 2013–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(12)
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Research topics
Machine Learning
(70)
Deep Learning
(50)
Computer Vision
(46)
Learning Types Β· Machine Learning
(31)
Learning Types Β· Deep Learning
(31)
Artificial Intelligence
(27)
Application Areas
(24)
Core Methods
(24)
Analysis
(23)
Core AI
(21)
Processing
(19)
Optimization & Theory
(17)
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(16)
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(11)
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(11)
Keywords
convolutional neural network
(12)
neural network
(10)
semantic segmentation
(9)
knowledge distillation
(8)
representation learning
(8)
deep neural network
(6)
model compression
(6)
self-supervised learning
(5)
continual learning
(5)
transfer learning
(5)
weakly supervised learning
(4)
unsupervised learning
(4)
class-incremental learning
(4)
object tracking
(4)
contrastive learning
(4)
image retrieval
(4)
image classification
(4)
image generation
(4)
multimodal learning
(4)
visual tracking
(4)
Papers
Beyond the Ground Truth: Enhanced Supervision for Image Restoration
CVPR 2026
Enhancing Mixture-of-Experts Specialization via Cluster-Aware Upcycling
CVPR 2026
GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes
CVPR 2026
HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and Scene
WACV 2026
Image Diffusion Preview with Consistency Solver
CVPR 2026
Low-Resolution Editing is All You Need for High-Resolution Editing
CVPR 2026
PhysGaia: A Physics-aware Benchmark with Multi-Body Interactions for Dynamic Novel View Synthesis
CVPR 2026
TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment
CVPR 2026
Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance
WACV 2025
Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions
ICLR 2025
Fine-Grained Captioning of Long Videos through Scene Graph Consolidation
ICML 2025
Metric Compatible Training for Online Backfilling in Large-Scale Retrieval
WACV 2025
Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling
WACV 2025
Revisiting Machine Unlearning with Dimensional Alignment
WACV 2025
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
NeurIPS 2024
Communication-Efficient Federated Learning with Accelerated Client Gradient
CVPR 2024
Cross-Class Feature Augmentation for Class Incremental Learning
AAAI 2024
Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation
ECCV 2024
FIFO-Diffusion: Generating Infinite Videos from Text without Training
NeurIPS 2024
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding
NeurIPS 2024
Leveraging temporal contextualization for video action recognition
ECCV 2024
Observation-Guided Diffusion Probabilistic Models
CVPR 2024
Randomized Adversarial Style Perturbations for Domain Generalization
WACV 2024
Relaxed Contrastive Learning for Federated Learning
CVPR 2024
Robust Image Denoising through Adversarial Frequency Mixup
CVPR 2024
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense
NeurIPS 2023
Conditional Score Guidance for Text-Driven Image-to-Image Translation
NeurIPS 2023
Generative Neural Fields by Mixtures of Neural Implicit Functions
NeurIPS 2023
Multi-Modal Representation Learning With Text-Driven Soft Masks
CVPR 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning
CVPR 2023
Open-Set Representation Learning Through Combinatorial Embedding
CVPR 2023
Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition
WACV 2023
Variational Distribution Learning for Unsupervised Text-to-Image Generation
CVPR 2023
Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation
CVPR 2022
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering
CVPR 2022
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation
AAAI 2022
Information-Theoretic GAN Compression with Variational Energy-based Model
NeurIPS 2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
ECCV 2022
Locally Hierarchical Auto-Regressive Modeling for Image Generation
NeurIPS 2022
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
NeurIPS 2022
Multi-Level Branched Regularization for Federated Learning
ICML 2022
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
IJCAI 2022
Pooling Revisited: Your Receptive Field Is Suboptimal
CVPR 2022
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation
CVPR 2022
Towards Sequence-Level Training for Visual Tracking
ECCV 2022
Unsupervised Learning of Debiased Representations With Pseudo-Attributes
CVPR 2022
Class-Incremental Learning for Action Recognition in Videos
ICCV 2021
CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback
CVPR 2021
Exemplar-Based Open-Set Panoptic Segmentation Network
CVPR 2021
Learning Debiased and Disentangled Representations for Semantic Segmentation
NeurIPS 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation
NeurIPS 2021
RaScaNet: Learning Tiny Models by Raster-Scanning Images
CVPR 2021
Variable-Rate Deep Image Compression Through Spatially-Adaptive Feature Transform
ICCV 2021
Weakly Supervised Instance Segmentation by Deep Community Learning
WACV 2021
Channel Attention Is All You Need for Video Frame Interpolation
AAAI 2020
Context-Aware Zero-Shot Recognition
AAAI 2020
Learning to Optimize Domain Specific Normalization for Domain Generalization
ECCV 2020
Local-Global Video-Text Interactions for Temporal Grounding
CVPR 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks
ICML 2020
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
AAAI 2020
Reinforcing an Image Caption Generator Using Off-Line Human Feedback
AAAI 2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
NeurIPS 2020
Task-Aware Quantization Network for JPEG Image Compression
ECCV 2020
Towards Oracle Knowledge Distillation with Neural Architecture Search
AAAI 2020
Traffic Accident Benchmark for Causality Recognition
ECCV 2020
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark
ECCV 2020
Combinatorial Inference against Label Noise
NeurIPS 2019
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation
ICCV 2019
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
CVPR 2019
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences
CVPR 2019
Regularizing Neural Networks via Stochastic Branch Layers
ACML 2019
Stochastic Class-Based Hard Example Mining for Deep Metric Learning
CVPR 2019
Streamlined Dense Video Captioning
CVPR 2019
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
CVPR 2019
Attentive Semantic Alignment with Offset-Aware Correlation Kernels
ECCV 2018
CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps
ECCV 2018
Learning to Specialize with Knowledge Distillation for Visual Question Answering
NeurIPS 2018
Real-Time MDNet
ECCV 2018
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
CVPR 2018
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks
CVPR 2017
Large-Scale Image Retrieval With Attentive Deep Local Features
ICCV 2017
MarioQA: Answering Questions by Watching Gameplay Videos
ICCV 2017
Multi-Object Tracking With Quadruplet Convolutional Neural Networks
CVPR 2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
NeurIPS 2017
Superpixel-Based Tracking-By-Segmentation Using Markov Chains
CVPR 2017
Visual Reference Resolution using Attention Memory for Visual Dialog
NeurIPS 2017
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos
CVPR 2017
Image Question Answering Using Convolutional Neural Network With Dynamic Parameter Prediction
CVPR 2016
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
CVPR 2016
Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework
CVPR 2016
Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network
CVPR 2016
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
NeurIPS 2015
Learning Deconvolution Network for Semantic Segmentation
ICCV 2015
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
ICML 2015
Tracking-by-Segmentation With Online Gradient Boosting Decision Tree
ICCV 2015
Object Localization based on Structural SVM using Privileged Information
NeurIPS 2014
Joint Segmentation and Pose Tracking of Human in Natural Videos
ICCV 2013
Multi-agent Event Detection: Localization and Role Assignment
CVPR 2013
Orderless Tracking through Model-Averaged Posterior Estimation
ICCV 2013