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Author

Runmin Cong

Observed names: Cong, Runmin, Cong, Runming
ORCID: 0000-0003-0972-4008
Observed ORCID: 0000-0003-0972-4008
OpenAlex ID: A5129688564
Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation
2023 · Jinpeng Chen, Runmin Cong, et al. · neural information processing systems · 8
BlindDiff: empowering degradation modeling in diffusion models for blind image super-resolution
2026 · Feng Li, Yixuan Wu, et al. · Science China Information Sciences · 6
Empowering DINO Representations for Underwater Instance Segmentation via Aligner and Prompter
2026 · Zhiyang Chen, Chen Zhang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 3
DiffLLFace: Learning Alternate Illumination-Diffusion Adaptation for Low-Light Face Super-Resolution and Beyond
2026 · Runmin Cong, Kaisheng Pang, et al. · IEEE Transactions on Image Processing · 3
Deep Interleaved Network for Image Super-Resolution With Asymmetric Co-Attention
2020 · Li, Feng, Cong, Runming, et al. · arXiv (Cornell University) · 3
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Decoupling Spherical Reasoning from Dense Prediction for 360 Depth Estimation
2026 · Shen, Zhijie, Lin, Chunyu, et al. · arXiv (Cornell University)
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P$^3$-SAM: SAM with Perceptual Parallel Prompt for Few-Shot Strip Steel Surface Defect Segmentation
2026 · Xu, Qian, Xiong, Hang, et al. · arXiv (Cornell University)
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ICME 2026 Grand Challenge on Cross-Scenario Defect Detection and Fine-Grained Severity Grading for High-Precision Manufacturing
2026 · Sun, Wei, Zhang, Weixia, et al. · arXiv (Cornell University)
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SAM-DAQ: Segment Anything Model with Depth-guided Adaptive Queries for RGB-D Video Salient Object Detection
2026 · Jia Lin, Xiaofei Zhou, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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Mastering Negation: Boosting Grounding Models via Grouped Opposition-Based Learning
2026 · Yang, Zesheng, Jiang, Xi, et al. · arXiv (Cornell University)
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G2HFNet: GeoGran-Aware Hierarchical Feature Fusion Network for Salient Object Detection in Optical Remote Sensing Images
2026 · Wan, Bin, Cong, Runmin, et al. · arXiv (Cornell University)
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RSONet: Region-guided Selective Optimization Network for RGB-T Salient Object Detection
2026 · Wan, Bin, Cong, Runmin, et al. · arXiv (Cornell University)
DecoVLN: Decoupling Observation, Reasoning, and Correction for Vision-and-Language Navigation
2026 · Xin, Zihao, Li, Wentong, et al. · arXiv (Cornell University)
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RSONet: Region-guided Selective Optimization Network for RGB-T Salient Object Detection
2026 · Wan, Bin, Cong, Runmin, et al. · arXiv (Cornell University)
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TCAP: Tri-Component Attention Profiling for Unsupervised Backdoor Detection in MLLM Fine-Tuning
2026 · Liu, Mingzu, Fang, Hao, et al. · arXiv (Cornell University)
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Taming Real-World Space-Time Video Super-Resolution with One-Step Diffusion
2026 · Wei, Shuoyan, Li, Feng, et al. · arXiv (Cornell University)
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Empowering DINO Representations for Underwater Instance Segmentation via Aligner and Prompter
2026 · Association for Artificial Intelligence 2026, Chen, Zhiyang, et al. · Underline Science Inc.
Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
2026 · Association for Artificial Intelligence 2026, Bin Wan, Bin, et al. · Underline Science Inc.
554 - Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
2026 · Association for Artificial Intelligence 2026, Bin Wan, Bin, et al. · Underline Science Inc.
SAM-DAQ: Segment Anything Model with Depth-guided Adaptive Queries for RGB-D Video Salient Object Detection
2026 · Association for Artificial Intelligence 2026, Cong, Runmin, et al. · Underline Science Inc.
484 - Empowering DINO Representations for Underwater Instance Segmentation via Aligner and Prompter
2026 · Association for Artificial Intelligence 2026, Chen, Zhiyang, et al. · Underline Science Inc.
Towards Ancient Plant Seed Classification: A Benchmark Dataset and Baseline Model
2025 · Xing, Rui, Cong, Runmin, et al. · arXiv (Cornell University)
Towards Ancient Plant Seed Classification: A Benchmark Dataset and Baseline Model
2025 · Xing, Rui, Cong, Runmin, et al. · arXiv (Cornell University)
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GA2-CLIP: Generic Attribute Anchor for Efficient Prompt Tuningin Video-Language Models
2025 · Wang, Bin, Hu, Ruotong, et al. · arXiv (Cornell University)
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Works count: 24
Citation count: 23
H-index: 3
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