← Authors

Bohyung Han

92 papers · 2013–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (126) 🏠 Conference Loyalist (32) 🧬 Topic Evolution 🀝 Dynamic Duo (12) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ† Grand Slam πŸ”¬ Deep Specialist (13) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (348) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (14) πŸ’Ž Century Club (92) ⚑ Prolific Year (8)

Conferences

CVPR (32) NIPS (18) ECCV (11) ICCV (9) WACV (8) AAAI (7) ICML (4) ACML (1) ICLR (1) IJCAI (1)

Top co-authors

Seonguk Seo (12) Paul Hongsuck Seo (9) Minsoo Kang (9) Jonghwan Mun (8) Hyeonwoo Noh (7) Seunghoon Hong (7) Dongwan Kim (7) Jinyoung Choi (7) Suha Kwak (6) Jeany Son (6)

Research topics

Reinforcement Learning (1)

Keywords

convolutional neural network (12) neural network (9) semantic segmentation (9) representation learning (8) knowledge distillation (7) model compression (6) deep neural network (6) continual learning (5) transfer learning (5) generative adversarial network (4) unsupervised learning (4) image retrieval (4) visual tracking (4) self-supervised learning (4) image classification (4) object tracking (4) contrastive learning (4) image generation (4) catastrophic forgetting (3) weakly supervised learning (3)

Papers

HyperPose: Hyper-pose Embeddings for 3D-Aware Generative Models with Self-Supervised Disentangling of Pose and Scene WACV 2026
Metric Compatible Training for Online Backfilling in Large-Scale Retrieval 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
Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling WACV 2025
Revisiting Machine Unlearning with Dimensional Alignment WACV 2025
Diffusion-Based Conditional Image Editing through Optimized Inference with Guidance WACV 2025
Robust Image Denoising through Adversarial Frequency Mixup CVPR 2024
Observation-Guided Diffusion Probabilistic Models CVPR 2024
FIFO-Diffusion: Generating Infinite Videos from Text without Training NIPS 2024
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding NIPS 2024
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization NIPS 2024
Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation ECCV 2024
Cross-Class Feature Augmentation for Class Incremental Learning AAAI 2024
Randomized Adversarial Style Perturbations for Domain Generalization WACV 2024
Leveraging temporal contextualization for video action recognition ECCV 2024
Relaxed Contrastive Learning for Federated Learning CVPR 2024
Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024
Conditional Score Guidance for Text-Driven Image-to-Image Translation NIPS 2023
Variational Distribution Learning for Unsupervised Text-to-Image Generation CVPR 2023
On the Stability-Plasticity Dilemma of Class-Incremental Learning CVPR 2023
Multi-Modal Representation Learning With Text-Driven Soft Masks CVPR 2023
Generative Neural Fields by Mixtures of Neural Implicit Functions NIPS 2023
Stop or Forward: Dynamic Layer Skipping for Efficient Action Recognition WACV 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense NIPS 2023
Open-Set Representation Learning Through Combinatorial Embedding CVPR 2023
Learning Semantic Segmentation from Multiple Datasets with Label Shifts ECCV 2022
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation CVPR 2022
Unsupervised Learning of Debiased Representations With Pseudo-Attributes CVPR 2022
Locally Hierarchical Auto-Regressive Modeling for Image Generation NIPS 2022
Information-Theoretic GAN Compression with Variational Energy-based Model NIPS 2022
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators NIPS 2022
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation AAAI 2022
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking IJCAI 2022
Multi-Level Branched Regularization for Federated Learning ICML 2022
Pooling Revisited: Your Receptive Field Is Suboptimal CVPR 2022
Towards Sequence-Level Training for Visual Tracking ECCV 2022
Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation CVPR 2022
InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering CVPR 2022
Weakly Supervised Instance Segmentation by Deep Community Learning WACV 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation NIPS 2021
Learning Debiased and Disentangled Representations for Semantic Segmentation NIPS 2021
Exemplar-Based Open-Set Panoptic Segmentation Network CVPR 2021
Variable-Rate Deep Image Compression Through Spatially-Adaptive Feature Transform ICCV 2021
CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback CVPR 2021
RaScaNet: Learning Tiny Models by Raster-Scanning Images CVPR 2021
Class-Incremental Learning for Action Recognition in Videos ICCV 2021
Operation-Aware Soft Channel Pruning using Differentiable Masks ICML 2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud NIPS 2020
Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020
Towards Oracle Knowledge Distillation with Neural Architecture Search AAAI 2020
Channel Attention Is All You Need for Video Frame Interpolation AAAI 2020
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning AAAI 2020
Context-Aware Zero-Shot Recognition AAAI 2020
Local-Global Video-Text Interactions for Temporal Grounding CVPR 2020
Traffic Accident Benchmark for Causality Recognition ECCV 2020
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark ECCV 2020
Task-Aware Quantization Network for JPEG Image Compression ECCV 2020
Learning to Optimize Domain Specific Normalization for Domain Generalization ECCV 2020
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation CVPR 2019
Combinatorial Inference against Label Noise NIPS 2019
Regularizing Neural Networks via Stochastic Branch Layers ACML 2019
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation ICCV 2019
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering CVPR 2019
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019
Stochastic Class-Based Hard Example Mining for Deep Metric Learning CVPR 2019
Streamlined Dense Video Captioning CVPR 2019
Real-Time MDNet ECCV 2018
CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps ECCV 2018
Learning to Specialize with Knowledge Distillation for Visual Question Answering NIPS 2018
Weakly Supervised Action Localization by Sparse Temporal Pooling Network CVPR 2018
Attentive Semantic Alignment with Offset-Aware Correlation Kernels ECCV 2018
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization NIPS 2017
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos CVPR 2017
Large-Scale Image Retrieval With Attentive Deep Local Features ICCV 2017
Visual Reference Resolution using Attention Memory for Visual Dialog NIPS 2017
Multi-Object Tracking With Quadruplet Convolutional Neural Networks CVPR 2017
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks CVPR 2017
Superpixel-Based Tracking-By-Segmentation Using Markov Chains CVPR 2017
MarioQA: Answering Questions by Watching Gameplay Videos ICCV 2017
Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network CVPR 2016
Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework CVPR 2016
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking CVPR 2016
Image Question Answering Using Convolutional Neural Network With Dynamic Parameter Prediction CVPR 2016
Learning Deconvolution Network for Semantic Segmentation ICCV 2015
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network ICML 2015
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation NIPS 2015
Tracking-by-Segmentation With Online Gradient Boosting Decision Tree ICCV 2015
Object Localization based on Structural SVM using Privileged Information NIPS 2014
Orderless Tracking through Model-Averaged Posterior Estimation ICCV 2013
Joint Segmentation and Pose Tracking of Human in Natural Videos ICCV 2013
Multi-agent Event Detection: Localization and Role Assignment CVPR 2013