---
title: "Yu Qiao — all works — Elamur Research"
description: "All 48 works of Yu Qiao in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/yu-qiao/works/"
---
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# Yu Qiao — all works

48 works · [← Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/)

1. **[Action recognition with trajectory-pooled deep-convolutional descriptors ↗](https://doi.org/10.1109/cvpr.2015.7299059) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Limin Wang, Yu Qiao, Xiaoou Tang*2015 · 1,198 citations*
2. **[InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions ↗](https://doi.org/10.1109/cvpr52729.2023.01385) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Wenhai Wang et al.*2023 · 1,040 citations*
3. **[Planning-oriented Autonomous Driving ↗](https://doi.org/10.1109/cvpr52729.2023.01712) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yihan Hu et al.*2023 · 965 citations*
4. **[VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking ↗](https://doi.org/10.1109/cvpr52729.2023.01398) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Limin Wang et al.*2023 · 549 citations*
5. **[MVBench: A Comprehensive Multi-modal Video Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/li-2023-mvbench-comprehensive-multi-modal-video/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Kunchang Li, Yali Wang, Yinan He, et al.*2023 · 463 citations*
6. **[PointCLIP: Point Cloud Understanding by CLIP ↗](https://doi.org/10.1109/cvpr52688.2022.00836) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Renrui Zhang et al.*2022 · 460 citations*
7. **[Real-Time Action Recognition with Enhanced Motion Vector CNNs ↗](https://doi.org/10.1109/cvpr.2016.297) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Bowen Zhang et al.*2016 · 441 citations*
8. **[Adaptive Pyramid Context Network for Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00770) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Junjun He et al.*2019 · 429 citations*
9. **[Learning Attentive Pairwise Interaction for Fine-Grained Classification ↗](https://doi.org/10.1609/aaai.v34i07.7016) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Peiqin Zhuang, Yali Wang, Yu Qiao*2020 · 417 citations*
10. **[RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution ↗](https://doi.org/10.1109/iccv.2019.00319) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Wenlong Zhang et al.*2019 · 406 citations*
11. **[VideoChat: Chat-Centric Video Understanding](https://md.research.elamur.ai/free/en/papers/li-2023-videochat-chat-centric-video-understanding/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**KunChang Li, Yinan He, Yi Wang, et al.*2023 · 365 citations*
12. **[BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision ↗](https://doi.org/10.1109/cvpr52729.2023.01710) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chenyu Yang et al.*2023 · 339 citations*
13. [**LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention arXiv:2303.16199**Renrui Zhang, Jiaming Han, Chris Liu, et al.*2023 · 333 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-llama-adapter-efficient-fine-tuning/)
14. **[Reading Scene Text in Deep Convolutional Sequences ↗](https://doi.org/10.1609/aaai.v30i1.10465) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Pan Li He et al.*2016 · 306 citations*
15. **[FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing ↗](https://doi.org/10.1609/aaai.v34i07.6701) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Dong Yu et al.*2020 · 294 citations*
16. **[Dynamic Multi-Scale Filters for Semantic Segmentation ↗](https://doi.org/10.1109/iccv.2019.00366) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Junjun He, Zhongying Deng, Yu Qiao*2019 · 287 citations*
17. **[Are We on the Right Way for Evaluating Large Vision-Language Models?](https://md.research.elamur.ai/free/en/papers/chen-2024-right-way-evaluating-large-vision/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Lin Chen, Jinsong Li, Xiaoyi Dong, et al.*2024 · 277 citations*
18. **[Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications ↗](https://doi.org/10.1109/cvpr52733.2024.00540) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yuwen Xiong et al.*2024 · 270 citations*
19. **[AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations ↗](https://doi.org/10.1109/cvpr.2019.01108) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xiao Zhang et al.*2019 · 251 citations*
20. **[A Key Volume Mining Deep Framework for Action Recognition ↗](https://doi.org/10.1109/cvpr.2016.219) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Wangjiang Zhu et al.*2016 · 247 citations*
21. **[LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model ↗](https://arxiv.org/abs/2304.15010) arXiv:2304.15010 · no summary yet**Peng Gao et al.*2023 · 229 citations*
22. **[MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection ↗](https://doi.org/10.1109/iccv51070.2023.00840) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Renrui Zhang et al.*2023 · 210 citations*
23. [**OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models arXiv:2308.13137**Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, et al.*2023 · 195 citations*](https://md.research.elamur.ai/free/en/papers/shao-2023-omniquant-omnidirectionally-calibrated-quantization-large/)
24. **[Motionlets: Mid-level 3D Parts for Human Motion Recognition ↗](https://doi.org/10.1109/cvpr.2013.345) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Limin Wang, Yu Qiao, Xiaoou Tang*2013 · 185 citations*
25. **[LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion ↗](https://doi.org/10.1109/cvpr52729.2023.01681) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xin Shane Li et al.*2023 · 181 citations*
26. **[Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions ↗](https://doi.org/10.1109/cvpr52729.2023.02083) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yurui Zhu et al.*2023 · 171 citations*
27. **[Unmasked Teacher: Towards Training-Efficient Video Foundation Models ↗](https://arxiv.org/abs/2303.16058) arXiv:2303.16058 · no summary yet**Kunchang Li et al.*2023 · 165 citations*
28. **[Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition ↗](https://doi.org/10.1109/cvpr.2016.529) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yandong Wen, Zhifeng Li, Yu Qiao*2016 · 158 citations*
29. **[SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-salad-bench-hierarchical-comprehensive-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lijun Li, Bowen Dong, Ruohui Wang, et al.*2024 · 119 citations*
30. **[MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition ↗](https://doi.org/10.1109/cvpr.2019.00755) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Weihe Zhang, Yali Wang, Yu Qiao*2019 · 102 citations*
31. **[PA3D: Pose-Action 3D Machine for Video Recognition ↗](https://doi.org/10.1109/cvpr.2019.00811) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**An Yan et al.*2019 · 97 citations*
32. **[Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory ↗](https://arxiv.org/abs/2305.17144) arXiv:2305.17144 · no summary yet**Xizhou Zhu et al.*2023 · 96 citations*
33. **[DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction ↗](https://doi.org/10.1109/iccv.2019.00240) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xiaoxing Zeng, Xiaojiang Peng, Yu Qiao*2019 · 88 citations*
34. **[Tripartite Information Mining and Integration for Image Matting ↗](https://doi.org/10.1109/iccv48922.2021.00746) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Yuhao Liu et al.*2021 · 69 citations*
35. [**OS-ATLAS: A Foundation Action Model for Generalist GUI Agents arXiv:2410.23218**Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, et al.*2024 · 67 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-os-atlas-foundation-action-model/)
36. **[Generalized Predictive Model for Autonomous Driving ↗](https://doi.org/10.1109/cvpr52733.2024.01389) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jiazhi Yang et al.*2024 · 55 citations*
37. [**Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization arXiv:2411.10442**Weiyun Wang, Zhe Chen, Wenhai Wang, et al.*2024 · 44 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-enhancing-reasoning-ability-multimodal-large/)
38. [**TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer arXiv:2307.14995**Zhen Qin, Dong Li, Weigao Sun, et al.*2023 · 33 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-transnormerllm-faster-better-large/)
39. [**Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades**Elma Kerz, Yu Qiao, Daniel Wiechmann, et al.*English · 27 citations*](https://md.research.elamur.ai/free/en/papers/kerz-2020-becoming-linguistically-mature-modeling-english/)
40. **[Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback ↗](https://arxiv.org/abs/2501.03916) arXiv:2501.03916 · no summary yet**Jiakang Yuan et al.*2025 · 19 citations*
41. **[LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts](https://md.research.elamur.ai/free/en/papers/ren-2025-llms-know-their-vulnerabilities-uncover/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qibing Ren, Hao Li, Dongrui Liu, et al.*2025 · 18 citations*
42. **[Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2024-weak-strong-search-align-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhanhui Zhou, Zhixuan Liu, Jie Liu, et al.*2024 · 17 citations*
43. **[Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2025-interactive-evolution-neural-symbolic-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, et al.*2025 · 15 citations*
44. **[MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders ↗](https://aclanthology.org/2022.tsar-1.27/) Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) · no summary yet**Xiaofei Li et al.*2022 · 13 citations*
45. **[(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification ↗](https://aclanthology.org/2022.tsar-1.12/) Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) · no summary yet**Yu Qiao et al.*2022 · 8 citations*
46. **[MindSET: Advancing Mental Health Benchmarking through Large-Scale Social Media Data](https://md.research.elamur.ai/free/en/papers/mankarious-2026-mindset-advancing-mental-health-benchmarking/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saad Mankarious, Edward Kempa, Daniel Wiechmann, et al.*2026 · 4 citations*
47. **[Uni-MMMU: A Massive Multi-discipline Multimodal Unified Benchmark](https://md.research.elamur.ai/free/en/papers/zou-2026-uni-mmmu-massive-multi-discipline/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Zou, Ziqi Huang, Yuhao Dong, et al.*2026 · 3 citations*
48. **[ADHD-Lang: A Large-Scale Social Media Dataset for Verbal Behavior and Digital Phenotyping in Adult ADHD](https://md.research.elamur.ai/free/en/papers/wiechmann-2026-adhd-lang-large-scale-social/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Daniel Wiechmann, Elma Kerz, Edward Kempa, et al.*2026*