Yue Cao
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Yue Caocomputer-science Degrees
Computer Science
#11493
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#12184
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Algorithms
#472
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#478
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Artificial Intelligence
#5681
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#5764
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Database
#8538
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#8944
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Computer Science
Yue Cao's Degrees
- Bachelors Computer Science Peking University
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(Suggest an Edit or Addition)Yue Cao's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (2021) (5516)
- VL-BERT: Pre-training of Generic Visual-Linguistic Representations (2019) (1069)
- Video Swin Transformer (2021) (453)
- SimMIM: a Simple Framework for Masked Image Modeling (2021) (352)
- Swin Transformer V2: Scaling Up Capacity and Resolution (2021) (331)
- Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning (2020) (236)
- Negative Margin Matters: Understanding Margin in Few-shot Classification (2020) (192)
- Disentangled Non-Local Neural Networks (2020) (175)
- Memory Enhanced Global-Local Aggregation for Video Object Detection (2020) (141)
- Group-Free 3D Object Detection via Transformers (2021) (112)
- A Closer Look at Local Aggregation Operators in Point Cloud Analysis (2020) (112)
- Self-Supervised Learning with Swin Transformers (2021) (87)
- RepPoints V2: Verification Meets Regression for Object Detection (2020) (67)
- Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation (2022) (51)
- A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model (2021) (50)
- Parametric Instance Classification for Unsupervised Visual Feature Learning (2020) (41)
- Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization (2020) (29)
- EVA: Exploring the Limits of Masked Visual Representation Learning at Scale (2022) (27)
- Global Context Networks (2020) (23)
- Revealing the Dark Secrets of Masked Image Modeling (2022) (22)
- DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network (2020) (19)
- ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation (2021) (18)
- On Data Scaling in Masked Image Modeling (2022) (13)
- Leveraging Batch Normalization for Vision Transformers (2021) (12)
- Continual Learning for Neural Machine Translation (2021) (10)
- MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization (2020) (10)
- Domain-Adaptive Neural Automated Essay Scoring (2020) (9)
- A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model (2021) (7)
- Recent advances of neural text generation: Core tasks, datasets, models and challenges (2020) (7)
- Images Speak in Images: A Generalist Painter for In-Context Visual Learning (2022) (5)
- Bootstrap Your Object Detector via Mixed Training (2021) (5)
- SegGPT: Segmenting Everything In Context (2023) (5)
- Deep Model Assembling (2022) (4)
- Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot (2021) (3)
- iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition (2022) (3)
- WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation (2021) (2)
- EVA-02: A Visual Representation for Neon Genesis (2023) (2)
- Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning (2021) (2)
- Could Giant Pretrained Image Models Extract Universal Representations? (2022) (1)
- Cross-Iteration Batch Normalization (2019) (1)
- A Simple Approach and Benchmark for 21, 000-Category Object Detection (2022) (0)
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