Jun Xu

papers

797

total citations

papers (16)

Deep Hough Transform for Semantic Line Detection

ECCV 2020arXiv

220

citations

Learning to Learn with Variational Information Bottleneck for Domain Generalization

ECCV 2020arXiv

190

citations

Incremental Cross-View Mutual Distillation for Self-Supervised Medical CT Synthesis

CVPR 2022arXiv

citations

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents

ICLR 2025arXiv

citations

OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning

CVPR 2024arXiv

citations

Reward Imputation with Sketching for Contextual Batched Bandits

NEURIPS 2023arXiv

citations

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation

ICML 2024arXiv

citations

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis

AAAI 2025arXiv

citations

ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis

AAAI 2025arXiv

citations

Trigger3:Refining Query Correction via Adaptive Model Selector

AAAI 2025

citations

"Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks"

ECCV 2022

citations

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization

AAAI 2025

citations

ICNet: Intra-saliency Correlation Network for Co-Saliency Detection

NEURIPS 2020

citations

Jun Xu

papers (16)

Deep Hough Transform for Semantic Line Detection

Learning to Learn with Variational Information Bottleneck for Domain Generalization

Gradient-Induced Co-Saliency Detection

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

Incremental Cross-View Mutual Distillation for Self-Supervised Medical CT Synthesis

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents

OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning

Reward Imputation with Sketching for Contextual Batched Bandits

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis

ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis

Trigger3:Refining Query Correction via Adaptive Model Selector

"Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks"

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization

ICNet: Intra-saliency Correlation Network for Co-Saliency Detection

papers (16)

Deep Hough Transform for Semantic Line Detection

Learning to Learn with Variational Information Bottleneck for Domain Generalization

Gradient-Induced Co-Saliency Detection

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution

A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

Incremental Cross-View Mutual Distillation for Self-Supervised Medical CT Synthesis

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents

OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning

Reward Imputation with Sketching for Contextual Batched Bandits

Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis

ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis

Trigger3:Refining Query Correction via Adaptive Model Selector

"Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks"

AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization

ICNet: Intra-saliency Correlation Network for Co-Saliency Detection