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Jungong Han

83 papers · 2016–2026 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (5) 🏠 Conference Loyalist (20) πŸ† Keyword Champion (3) πŸ”¬ Deep Specialist (15) 🧬 Topic Evolution 🀝 Dynamic Duo (49) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (352) ⚑ Prolific Year (17) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (82) πŸ”₯ Unstoppable (10)

Conferences

IJCAI (20) CVPR (19) AAAI (12) ICCV (9) ECCV (8) NIPS (6) EMNLP (3) ICML (2) ACL (1) ICLR (1) NAACL (1) WACV (1)

Top co-authors

guiguang ding (50) Hui Chen (18) Zijia Lin (17) Yuchen Guo (16) Xiaohan Ding (11) Sicheng Zhao (9) Qiang Zhang (7) Baochang Zhang (6) Ao Wang (6) Yue Gao (5)

Keywords

convolutional neural network (16) zero-shot learning (11) model compression (11) semantic segmentation (8) model architecture (6) multi-modal learning (5) semantic embedding (5) object detection (4) filter pruning (4) attention mechanism (4) domain adaptation (4) knowledge distillation (4) recurrent neural network (4) image classification (4) vision transformer (3) efficient computing (3) probability distribution (3) neural network pruning (3) deep learning (3) diffusion model (3)

Papers

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