Yue Cao - RankMe

88 papers A* 34A 1B 1Journal 44Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Masked Channel Modeling for Bootstrapping Visual Pre-training. Int. J. Comput. Vis. Yang Liu, Xinlong Wang, Muzhi Zhu, Yue Cao, Tiejun Huang, Chunhua Shen
2024	J	`jnl`	Correlation-Embedded Transformer Tracking: A Single-Branch Framework. CoRR Fei Xie, Wankou Yang, Chunyu Wang, Lei Chu, Yue Cao, Chao Ma, Wenjun Zeng
2024	J	`jnl`	Correlation-Embedded Transformer Tracking: A Single-Branch Framework. IEEE Trans. Pattern Anal. Mach. Intell. Fei Xie, Wankou Yang, Chunyu Wang, Lei Chu, Yue Cao, Chao Ma, Wenjun Zeng
2024	J	`jnl`	EVA-02: A visual representation for neon genesis. Image Vis. Comput. Yuxin Fang, Quan Sun, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao
2023	A*	`conf`	Deep Incubation: Training Large Models by Divide-and-Conquering. ICCV Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang
2023	J	`jnl`	EVA-02: A Visual Representation for Neon Genesis. CoRR Yuxin Fang, Quan Sun, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao
2023	J	`jnl`	EVA-CLIP: Improved Training Techniques for CLIP at Scale. CoRR Quan Sun, Yuxin Fang, Ledell Wu, Xinlong Wang, Yue Cao
2023	A*	`conf`	EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. CVPR Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao
2023	J	`jnl`	Global Context Networks. IEEE Trans. Pattern Anal. Mach. Intell. Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
2023	A*	`conf`	Images Speak in Images: A Generalist Painter for In-Context Visual Learning. CVPR Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang
2023	A*	`conf`	Improving CLIP Fine-tuning Performance. ICCV Yixuan Wei, Han Hu, Zhenda Xie, Ze Liu, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo
2023	A*	`conf`	On Data Scaling in Masked Image Modeling. CVPR Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu
2023	A*	`conf`	Revealing the Dark Secrets of Masked Image Modeling. CVPR Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao
2023	J	`jnl`	SegGPT: Segmenting Everything In Context. CoRR Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang
2023	A*	`conf`	SegGPT: Towards Segmenting Everything In Context. ICCV Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang
2023	J	`jnl`	Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models. CoRR Wen Wang, Kangyang Xie, Zide Liu, Hao Chen, Yue Cao, Xinlong Wang, Chunhua Shen
2023	A*	`conf`	iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition. CVPR Yixuan Wei, Yue Cao, Zheng Zhang, Houwen Peng, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo
2022	—	`conf`	A Simple Approach and Benchmark for 21, 000-Category Object Detection. ECCV (11) Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu
2022	—	`conf`	A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model. ECCV (29) Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai
2022	J	`jnl`	Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation. CoRR Yixuan Wei, Han Hu, Zhenda Xie, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo
2022	A*	`conf`	Correlation-Aware Deep Tracking. CVPR Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng
2022	J	`jnl`	Correlation-Aware Deep Tracking. CoRR Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng
2022	A*	`conf`	Could Giant Pre-trained Image Models Extract Universal Representations? NeurIPS Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
2022	J	`jnl`	Could Giant Pretrained Image Models Extract Universal Representations? CoRR Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
2022	J	`jnl`	Deep Model Assembling. CoRR Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang
2022	J	`jnl`	EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. CoRR Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao
2022	J	`jnl`	Images Speak in Images: A Generalist Painter for In-Context Visual Learning. CoRR Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang
2022	J	`jnl`	On Data Scaling in Masked Image Modeling. CoRR Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu
2022	J	`jnl`	Revealing the Dark Secrets of Masked Image Modeling. CoRR Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao
2022	A*	`conf`	SimMIM: a Simple Framework for Masked Image Modeling. CVPR Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu
2022	A*	`conf`	Swin Transformer V2: Scaling Up Capacity and Resolution. CVPR Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo
2022	A*	`conf`	Video Swin Transformer. CVPR Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu
2022	J	`jnl`	iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition. CoRR Yixuan Wei, Yue Cao, Zheng Zhang, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo
2021	J	`jnl`	A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model. CoRR Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai
2021	A*	`conf`	Bootstrap Your Object Detector via Mixed Training. NeurIPS Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai
2021	J	`jnl`	Bootstrap Your Object Detector via Mixed Training. CoRR Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai
2021	J	`jnl`	Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning. CoRR Yansong Tang, Zhenyu Jiang, Zhenda Xie, Yue Cao, Zheng Zhang, Philip H. S. Torr, Han Hu
2021	J	`jnl`	Cleaning timestamps with temporal constraints. VLDB J. Shaoxu Song, Ruihong Huang, Yue Cao, Jianmin Wang
2021	A*	`conf`	Cross-Iteration Batch Normalization. CVPR Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
2021	A*	`conf`	Group-Free 3D Object Detection via Transformers. ICCV Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong
2021	J	`jnl`	Group-Free 3D Object Detection via Transformers. CoRR Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong
2021	—	`conf`	Leveraging Batch Normalization for Vision Transformers. ICCVW Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu
2021	A*	`conf`	Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CVPR Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu
2021	J	`jnl`	Self-Supervised Learning with Swin Transformers. CoRR Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu
2021	J	`jnl`	SimMIM: A Simple Framework for Masked Image Modeling. CoRR Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu
2021	J	`jnl`	Swin Transformer V2: Scaling Up Capacity and Resolution. CoRR Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo
2021	A*	`conf`	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. ICCV Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo
2021	J	`jnl`	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. CoRR Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo
2021	J	`jnl`	Video Swin Transformer. CoRR Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu
2020	—	`conf`	A Closer Look at Local Aggregation Operators in Point Cloud Analysis. ECCV (23) Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong
2020	J	`jnl`	A Closer Look at Local Aggregation Operators in Point Cloud Analysis. CoRR Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong
2020	J	`jnl`	Cross-Iteration Batch Normalization. CoRR Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
2020	J	`jnl`	Disentangled Non-Local Neural Networks. CoRR Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu
2020	—	`conf`	Disentangled Non-local Neural Networks. ECCV (15) Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu
2020	J	`jnl`	Global Context Networks. CoRR Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
2020	A*	`conf`	Memory Enhanced Global-Local Aggregation for Video Object Detection. CVPR Yihong Chen, Yue Cao, Han Hu, Liwei Wang
2020	J	`jnl`	Memory Enhanced Global-Local Aggregation for Video Object Detection. CoRR Yihong Chen, Yue Cao, Han Hu, Liwei Wang
2020	—	`conf`	Negative Margin Matters: Understanding Margin in Few-Shot Classification. ECCV (4) Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
2020	J	`jnl`	Negative Margin Matters: Understanding Margin in Few-shot Classification. CoRR Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
2020	J	`jnl`	Parametric Instance Classification for Unsupervised Visual Feature Learning. CoRR Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu
2020	A*	`conf`	Parametric Instance Classification for Unsupervised Visual Feature learning. NeurIPS Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu
2020	J	`jnl`	Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CoRR Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu
2020	J	`jnl`	RepPoints V2: Verification Meets Regression for Object Detection. CoRR Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
2020	A*	`conf`	RepPoints v2: Verification Meets Regression for Object Detection. NeurIPS Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
2019	J	`jnl`	Deep Triplet Quantization. CoRR Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang
2019	—	`conf`	GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond. ICCV Workshops Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
2019	J	`jnl`	GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond. CoRR Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
2019	A*	`conf`	Maximum-Margin Hamming Hashing. ICCV Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2019	A*	`conf`	Spatial-Temporal Relation Networks for Multi-Object Tracking. ICCV Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu
2019	J	`jnl`	Spatial-Temporal Relation Networks for Multi-Object Tracking. CoRR Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu
2019	J	`jnl`	Transferable Representation Learning with Deep Adaptation Networks. IEEE Trans. Pattern Anal. Mach. Intell. Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
2018	—	`conf`	Cross-Modal Hamming Hashing. ECCV (1) Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang
2018	A*	`conf`	Deep Cauchy Hashing for Hamming Space Retrieval. CVPR Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
2018	A*	`conf`	Deep Triplet Quantization. ACM Multimedia Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang
2018	A*	`conf`	HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN. CVPR Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang
2018	A*	`conf`	Unsupervised Domain Adaptation With Distribution Matching Machines. AAAI Yue Cao, Mingsheng Long, Jianmin Wang
2017	A*	`conf`	Collective Deep Quantization for Efficient Cross-Modal Retrieval. AAAI Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
2017	A	`conf`	Correlation Hashing Network for Efficient Cross-Modal Retrieval. BMVC Yue Cao, Mingsheng Long, Jianmin Wang
2017	A*	`conf`	Deep Visual-Semantic Quantization for Efficient Image Retrieval. CVPR Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
2016	J	`jnl`	Cleaning Timestamps with Temporal Constraints. Proc. VLDB Endow. Shaoxu Song, Yue Cao, Jianmin Wang
2016	A*	`conf`	Composite Correlation Quantization for Efficient Multimodal Retrieval. SIGIR Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu
2016	B	`conf`	Correlation Autoencoder Hashing for Supervised Cross-Modal Search. ICMR Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
2016	J	`jnl`	Correlation Hashing Network for Efficient Cross-Modal Retrieval. CoRR Yue Cao, Mingsheng Long, Jianmin Wang
2016	A*	`conf`	Deep Hashing Network for Efficient Similarity Retrieval. AAAI Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
2016	J	`jnl`	Deep Learning of Transferable Representation for Scalable Domain Adaptation. IEEE Trans. Knowl. Data Eng. Mingsheng Long, Jianmin Wang, Yue Cao, Jia-Guang Sun, Philip S. Yu
2016	A*	`conf`	Deep Quantization Network for Efficient Image Retrieval. AAAI Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen
2016	A*	`conf`	Deep Visual-Semantic Hashing for Cross-Modal Retrieval. KDD Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
2015	A*	`conf`	Learning Transferable Features with Deep Adaptation Networks. ICML Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan