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Yunhang Shen

46 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (70) πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer
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Conferences

AAAI (13) CVPR (11) ECCV (7) ICML (5) ICCV (4) ICLR (2) IJCAI (2) NIPS (2)

Top co-authors

Rongrong Ji (25) Ke Li (20) Liujuan Cao (12) Shaohui Lin (12) Xing Sun (11) Xiawu Zheng (9) Yongjian Wu (8) Zhiwei Chen (7) Yan Zhang (6) Chaoyou Fu (5)

Keywords

weakly supervised learning (8) object detection (8) knowledge distillation (6) semantic segmentation (6) semi-supervised learning (4) instance segmentation (4) webly supervised learning (3) vision transformer (3) vision-language model (2) contrastive learning (2) multiple instance learning (2) multimodal large language model (2) object localization (2) diffusion model (2) domain adaptation (2) noisy label learning (2) image restoration (2) few-shot learning (2) pseudo labeling (2) efficient computing (2)

Papers

Robust Pseudo-Labeling via Decoupled Class-Aware Filtering and Dynamic Category Correction AAAI 2026 Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification ICLR 2025 Learning Interleaved Image-Text Comprehension in Vision-Language Large Models ICLR 2025 Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models ICCV 2025 From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning ICCV 2025 FlashSloth : Lightning Multimodal Large Language Models via Embedded Visual Compression CVPR 2025 BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution AAAI 2025 Feature Denoising Diffusion Model for Blind Image Quality Assessment AAAI 2025 Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration AAAI 2025 Probability-Density-aware Semi-supervised Learning AAAI 2025 Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM ICML 2025 FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification ICML 2025 DS-VLM: Diffusion Supervision Vision Language Model ICML 2025 Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion CVPR 2025 Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis CVPR 2025 Rethinking Centered Kernel Alignment in Knowledge Distillation IJCAI 2024 Weakly Supervised Open-Vocabulary Object Detection AAAI 2024 Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning AAAI 2024 SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space AAAI 2024 Solving the Catastrophic Forgetting Problem in Generalized Category Discovery CVPR 2024 A General and Efficient Training for Transformer via Token Expansion CVPR 2024 Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment ICML 2024 Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity ICML 2024 Aligning and Prompting Everything All at Once for Universal Visual Perception CVPR 2024 CF-ViT: A General Coarse-to-Fine Method for Vision Transformer AAAI 2023 CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes NIPS 2023 FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning AAAI 2023 End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation AAAI 2023 Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation AAAI 2023 Category-aware Allocation Transformer for Weakly Supervised Object Localization ICCV 2023 PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation ECCV 2022 SeqTR: A Simple Yet Universal Network for Visual Grounding ECCV 2022 LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization AAAI 2022 Fine-Grained Data Distribution Alignment for Post-Training Quantization ECCV 2022 ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement ECCV 2022 Efficient Decoder-Free Object Detection with Transformers ECCV 2022 HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization CVPR 2022 Active Teacher for Semi-Supervised Object Detection CVPR 2022 Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks ECCV 2022 Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation CVPR 2021 Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation ICCV 2021 Noise-Aware Fully Webly Supervised Object Detection CVPR 2020 UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection NIPS 2020 Enabling Deep Residual Networks for Weakly Supervised Object Detection ECCV 2020 A Part Power Set Model for Scale-Free Person Retrieval IJCAI 2019 Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation CVPR 2019