Yunhang Shen

Orcid: 0000-0002-3970-7519

According to our database1, Yunhang Shen authored at least 59 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A General and Efficient Training for Transformer via Token Expansion.
CoRR, 2024

Feature Denoising Diffusion Model for Blind Image Quality Assessment.
CoRR, 2024

Rethinking Centered Kernel Alignment in Knowledge Distillation.
CoRR, 2024

Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization.
CoRR, 2024

Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Weakly Supervised Open-Vocabulary Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet.
IEEE Trans. Medical Imaging, September, 2023

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise.
CoRR, 2023

Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity.
CoRR, 2023

Aligning and Prompting Everything All at Once for Universal Visual Perception.
CoRR, 2023

Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment.
CoRR, 2023

Woodpecker: Hallucination Correction for Multimodal Large Language Models.
CoRR, 2023

Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler.
CoRR, 2023

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.
CoRR, 2023

Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Category-aware Allocation Transformer for Weakly Supervised Object Localization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CF-ViT: A General Coarse-to-Fine Method for Vision Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal.
CoRR, 2022

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization.
CoRR, 2022

Super Vision Transformer.
CoRR, 2022

Shadow-Aware Dynamic Convolution for Shadow Removal.
CoRR, 2022

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation.
CoRR, 2022

PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation.
CoRR, 2022

Coarse-to-Fine Vision Transformer.
CoRR, 2022

Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need.
CoRR, 2022

Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection.
CoRR, 2022

Learning Dynamic Prior Knowledge for Text-to-Face Pixel Synthesis.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

SeqTR: A Simple Yet Universal Network for Visual Grounding.
Proceedings of the Computer Vision - ECCV 2022, 2022

Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Fine-grained Data Distribution Alignment for Post-Training Quantization.
Proceedings of the Computer Vision - ECCV 2022, 2022

ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement.
Proceedings of the Computer Vision - ECCV 2022, 2022

PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient Decoder-Free Object Detection with Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

Active Teacher for Semi-Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Fine-grained Data Distribution Alignment for Post-Training Quantization.
CoRR, 2021

E2Net: Excitative-Expansile Learning for Weakly Supervised Object Localization.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Category-Aware Spatial Constraint for Weakly Supervised Detection.
IEEE Trans. Image Process., 2020

UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Enabling Deep Residual Networks for Weakly Supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Noise-Aware Fully Webly Supervised Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Multi-scale Features for Weakly Supervised Lesion Detection of Cerebral Hemorrhage with Collaborative Learning.
Proceedings of the MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019, 2019

A Part Power Set Model for Scale-Free Person Retrieval.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Weakly Supervised Object Detection via Object-Specific Pixel Gradient.
IEEE Trans. Neural Networks Learn. Syst., 2018

Generative Adversarial Learning Towards Fast Weakly Supervised Detection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Sensitive Information Detection on Cyber-Space.
Proceedings of the Image and Graphics - 9th International Conference, 2017

2016
The distributed system for inverted multi-index visual retrieval.
Neurocomputing, 2016

2014
Robotic Free Writing of Chinese Characters via Human-Robot Interactions.
Int. J. Humanoid Robotics, 2014

Hacking Chinese Touclick CAPTCHA by Multi-Scale Corner Structure Model with Fast Pattern Matching.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014


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