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Yue Cao

68 papers · 2015–2026 · 11 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 16 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Yue Cao?

9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Han Hu, Zheng Zhang, Yutong Lin 30 papers · 2015–2023 · CVPR, ICCV, ECCV Hide ▲
Deep Incubation: Training Large Models by Divide-and-Conquering ICCV 2023 Improving CLIP Fine-tuning Performance ICCV 2023 On Data Scaling in Masked Image Modeling CVPR 2023 Revealing the Dark Secrets of Masked Image Modeling CVPR 2023 iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition CVPR 2023 "A Simple Approach and Benchmark for 21,000-Category Object Detection" ECCV 2022 A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model ECCV 2022 Could Giant Pre-trained Image Models Extract Universal Representations? NeurIPS 2022 SimMIM: A Simple Framework for Masked Image Modeling CVPR 2022 Swin Transformer V2: Scaling Up Capacity and Resolution CVPR 2022 Video Swin Transformer CVPR 2022 Bootstrap Your Object Detector via Mixed Training NeurIPS 2021 Cross-Iteration Batch Normalization CVPR 2021 Group-Free 3D Object Detection via Transformers ICCV 2021 Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021 Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows ICCV 2021 A Closer Look at Local Aggregation Operators in Point Cloud Analysis ECCV 2020 Disentangled Non-local Neural Networks ECCV 2020 Memory Enhanced Global-Local Aggregation for Video Object Detection CVPR 2020 Negative Margin Matters: Understanding Margin in Few-shot Classification ECCV 2020 Parametric Instance Classification for Unsupervised Visual Feature learning NeurIPS 2020 RepPoints v2: Verification Meets Regression for Object Detection NeurIPS 2020 VL-BERT: Pre-training of Generic Visual-Linguistic Representations ICLR 2020 Maximum-Margin Hamming Hashing ICCV 2019 Spatial-Temporal Relation Networks for Multi-Object Tracking ICCV 2019 Cross-Modal Hamming Hashing ECCV 2018 Deep Cauchy Hashing for Hamming Space Retrieval CVPR 2018 HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN CVPR 2018 Deep Visual-Semantic Quantization for Efficient Image Retrieval CVPR 2017 Learning Transferable Features with Deep Adaptation Networks ICML 2015
7 papers whose co-authors appear nowhere else under this name
Automatic Translational Correction of Multi-View Coronary Angiography Based on Auto-Annotation Data Generation AAAI 2026 CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation AAAI 2026 Robust Noise Modeling for Spike Camera via Time-Interval Quantification and Spike-DSLR Multimodal Dataset in Low-Light Imaging AAAI 2026 Will Multimodal Models Be Dazzled by Multi-Image Visual Puzzles? CVPR 2026 Learning Physics-Based Full-Body Human Reaching and Grasping from Brief Walking References CVPR 2025 Continual Learners are Incremental Model Generalizers ICML 2023 Correlation-Aware Deep Tracking CVPR 2022

Venues · all papers under this name

CVPR (25) AAAI (7) ECCV (7) ICCV (7) ACL (5) ICML (5) NeurIPS (5) ICLR (3) EMNLP (2) EACL (1) NAACL (1)