Jungong Han

Tracking and Segmenting Anything in Any Modality AAAI 2026 Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal AAAI 2025 Extending LLM Context Window with Adaptive Grouped Positional Encoding: A Training-Free Method ACL 2025 Temporal Scaling Law for Large Language Models EMNLP 2025 SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality ICCV 2025 Unlocking the Potential of Diffusion Priors in Blind Face Restoration ICCV 2025 YOLOE: Real-Time Seeing Anything ICCV 2025 DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs EMNLP 2025 DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval CVPR 2025 Rethinking Score Distilling Sampling for 3D Editing and Generation ICML 2025 Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding NAACL 2025 AdaTP: Attention-Debiased Token Pruning for Video Large Language Models EMNLP 2025 LSNet: See Large, Focus Small CVPR 2025 Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning AAAI 2025 Sequential Joint Dependency Aware Human Pose Estimation with State Space Model AAAI 2025 YOLOv10: Real-Time End-to-End Object Detection NIPS 2024 FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation NIPS 2024 TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks IJCAI 2024 Pixel Matching Network for Cross-Domain Few-Shot Segmentation WACV 2024 WaveFace: Authentic Face Restoration with Efficient Frequency Recovery CVPR 2024 RepViT: Revisiting Mobile CNN From ViT Perspective CVPR 2024 One-dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications CVPR 2024 Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence ECCV 2024 PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation ECCV 2024 On the Approximation Risk of Few-Shot Class-Incremental Learning ECCV 2024 Pseudo-Labelling Should Be Aware of Disguising Channel Activations ECCV 2024 Revisiting motion information for RGB-Event tracking with MOT philosophy NIPS 2024 Efficient RGB-T Tracking via Cross-Modality Distillation CVPR 2023 Beyond One-to-One: Rethinking the Referring Image Segmentation ICCV 2023 Re-parameterizing Your Optimizers rather than Architectures ICLR 2023 Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels CVPR 2023 Physically-Based Face Rendering for NIR-VIS Face Recognition NIPS 2022 Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs CVPR 2022 Temporal Saliency Query Network for Efficient Video Recognition ECCV 2022 ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising AAAI 2022 Semi-Supervised Object Detection via Virtual Category Learning ECCV 2022 RepMLPNet: Hierarchical Vision MLP With Re-Parameterized Locality CVPR 2022 FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification CVPR 2022 ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation CVPR 2021 ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting ICCV 2021 Diverse Branch Block: Building a Convolution as an Inception-Like Unit CVPR 2021 RepVGG: Making VGG-Style ConvNets Great Again CVPR 2021 Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data AAAI 2020 Few-Cost Salient Object Detection with Adversarial-Paced Learning NIPS 2020 BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation CVPR 2020 Episode-Based Prototype Generating Network for Zero-Shot Learning CVPR 2020 IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval CVPR 2020 Shallow Feature Based Dense Attention Network for Crowd Counting AAAI 2020 NAS-Count: Counting-by-Density with Neural Architecture Search ECCV 2020 Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification ECCV 2020 Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure CVPR 2019 Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation AAAI 2019 Dual-View Ranking with Hardness Assessment for Zero-Shot Learning AAAI 2019 Attentive Temporal Pyramid Network for Dynamic Scene Classification AAAI 2019 Learning Object Context for Dense Captioning AAAI 2019 Recurrent Attention Model for Pedestrian Attribute Recognition AAAI 2019 Global Sparse Momentum SGD for Pruning Very Deep Neural Networks NIPS 2019 Employing Deep Part-Object Relationships for Salient Object Detection ICCV 2019 ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks ICCV 2019 Saliency-Guided Attention Network for Image-Sentence Matching ICCV 2019 Hierarchical Shot Detector ICCV 2019 Approximated Oracle Filter Pruning for Destructive CNN Width Optimization ICML 2019 Low Shot Box Correction for Weakly Supervised Object Detection IJCAI 2019 Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks IJCAI 2019 Landmark Selection for Zero-shot Learning IJCAI 2019 Graph and Autoencoder Based Feature Extraction for Zero-shot Learning IJCAI 2019 Incremental Few-Shot Learning for Pedestrian Attribute Recognition IJCAI 2019 Personality-Aware Personalized Emotion Recognition from Physiological Signals IJCAI 2018 Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning IJCAI 2018 Modulated Convolutional Networks CVPR 2018 Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder IJCAI 2018 Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval IJCAI 2018 Where to Prune: Using LSTM to Guide End-to-end Pruning IJCAI 2018 Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes IJCAI 2018 Memory Attention Networks for Skeleton-based Action Recognition IJCAI 2018 Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion IJCAI 2017 From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis CVPR 2017 SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing IJCAI 2017 Synthesizing Samples for Zero-shot Learning IJCAI 2017 Unsupervised Deep Video Hashing with Balanced Rotation IJCAI 2017 Dynamic Multi-View Hashing for Online Image Retrieval IJCAI 2017 TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets IJCAI 2017 3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector IJCAI 2016