Yibing Zhan

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 133

Top Venues

Publications

Linfei Wang, Yibing Zhan, Wei Liu, Baosheng Yu, Dapeng Tao
Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression. IEEE Trans. Multim. 26 (2024)
Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method. CoRR (2024)
Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. CoRR (2024)
Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. CoRR (2024)
Sichao Fu, Qiong Cao, Yunwen Lei, Yujie Zhong, Yibing Zhan, Xinge You
Few-Shot Learning With Dynamic Graph Structure Preserving. IEEE Trans. Ind. Informatics 20 (3) (2024)
Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao
TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. AAAI (2024)
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
Exploring sparsity in graph transformers. Neural Networks 174 (2024)
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. ICLR (2024)
Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. CoRR (2024)
Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. CoRR (2024)
Yuanyuan Liu, Ke Wang, Lin Wei, Jingying Chen, Yibing Zhan, Dapeng Tao, Zhe Chen
Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond. CoRR (2024)
Yuanyuan Liu, Yuxuan Huang, Shuyang Liu, Yibing Zhan, Zijing Chen, Zhe Chen
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting. CoRR (2024)
Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation. CoRR (2024)
Jian Long, Yibing Zhan, Zhengbin Pang, Tong Zhou, Xueqiong Li, Long Lan, Yuanxi Peng
Joint Spatial-Spectral Optimization for the High-Magnification Fusion of Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. CoRR (2024)
Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu
Towards Training A Chinese Large Language Model for Anesthesiology. CoRR (2024)
Haoran Wang, Yajie Wang, Baosheng Yu, Yibing Zhan, Chunfeng Yuan, Wankou Yang
Attentional Composition Networks for Long-Tailed Human Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20 (1) (2024)
Huayue Cai, Long Lan, Jing Zhang, Xiang Zhang, Yibing Zhan, Zhigang Luo
IoUformer: Pseudo-IoU prediction with transformer for visual tracking. Neural Networks 170 (2024)
Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. AAAI (2024)
Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du
Hi-GMAE: Hierarchical Graph Masked Autoencoders. CoRR (2024)
Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Jun Yu
Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning. CoRR (2024)
Mengya Han, Yibing Zhan, Yong Luo, Han Hu, Kehua Su, Bo Du
Textual Enhanced Adaptive Meta-Fusion for Few-Shot Visual Recognition. IEEE Trans. Multim. 26 (2024)
Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu
Gradformer: Graph Transformer with Exponential Decay. CoRR (2024)
Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. Int. J. Comput. Vis. 132 (4) (2024)
Tianle Zhang, Dongjiang Li, Yihang Li, Zecui Zeng, Lin Zhao, Lei Sun, Yue Chen, Xuelong Wei, Yibing Zhan, Lusong Li, Xiaodong He
Empowering Embodied Manipulation: A Bimanual-Mobile Robot Manipulation Dataset for Household Tasks. CoRR (2024)
Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. IJCAI (2023)
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. ACL (1) (2023)
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu
Gapformer: Graph Transformer with Graph Pooling for Node Classification. IJCAI (2023)
Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du
Token Contrast for Weakly-Supervised Semantic Segmentation. CVPR (2023)
Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR (2023)
Ying Ji, Guojia Wan, Yibing Zhan, Bo Du
Metapath-fused heterogeneous graph network for molecular property prediction. Inf. Sci. 629 (2023)
Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu
Graph structure reforming framework enhanced by commute time distance for graph classification. Neural Networks 168 (2023)
Lei Wang, Yibing Zhan, Leilei Ma, Dapeng Tao, Liang Ding, Chen Gong
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification. CoRR (2023)
Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao
Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. CoRR (2023)
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
Exploring Sparsity in Graph Transformers. CoRR (2023)
Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling
Free-Form Composition Networks for Egocentric Action Recognition. CoRR (2023)
Xinyao Li, Yibing Zhan, Yanhua Zhao, Yiqiang Wu, Liang Ding, Yuanyuan Li, Dapeng Tao, Hua Jin
A perioperative risk assessment dataset with multi-view data based on online accelerated pairwise comparison. Inf. Fusion 99 (2023)
Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Shaoze Feng, Kejun Liu, Zhe Chen
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation. CVPR (2023)
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. CoRR (2023)
Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes. CoRR (2023)
Xingyu Shen, Xiang Zhang, Xun Yang, Yibing Zhan, Long Lan, Jianfeng Dong, Hongzhou Wu
Semantics-Enriched Cross-Modal Alignment for Complex-Query Video Moment Retrieval. ACM Multimedia (2023)
Dapeng Tao, Chunxiao Quan, Yaosheng Hu, Yiqiang Wu, Yibing Zhan, Hua Jin
RGD-VNet: Raw, Generative, and Discriminant Views Network for Boosting Postoperative Complication Prediction. ICCAI (2023)
Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. ICCV (2023)
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Parameter Efficient Multi-task Model Fusion with Partial Linearization. CoRR (2023)
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling. CoRR (2023)
Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu
CLNode: Curriculum Learning for Node Classification. WSDM (2023)
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Yibing Zhan, Zhang Yi
Channel-Correlation-Based Selective Knowledge Distillation. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Yuanyuan Liu, Haoyu Zhang, Yibing Zhan, Zijing Chen, Guanghao Yin, Lin Wei, Zhe Chen
Noise-Resistant Multimodal Transformer for Emotion Recognition. CoRR (2023)
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
On exploring node-feature and graph-structure diversities for node drop graph pooling. Neural Networks 167 (2023)
Dong Zhao, Guojia Wan, Yibing Zhan, Zengmao Wang, Liang Ding, Zhigao Zheng, Bo Du
KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain. Knowl. Based Syst. 278 (2023)
Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR (2023)
Jianqing Zhu, Liu Liu, Yibing Zhan, Xiaobin Zhu, Huanqiang Zeng, Dacheng Tao
Attribute-Image Person Re-identification via Modal-Consistent Metric Learning. Int. J. Comput. Vis. 131 (11) (2023)
Fan Lu, Guang Chen, Yinlong Liu, Yibing Zhan, Zhijun Li, Dacheng Tao, Changjun Jiang
Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du
Token Contrast for Weakly-Supervised Semantic Segmentation. CoRR (2023)
Yuanyuan Liu, Wenbin Wang, Chuanxu Feng, Haoyu Zhang, Zhe Chen, Yibing Zhan
Expression snippet transformer for robust video-based facial expression recognition. Pattern Recognit. 138 (2023)
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
Region-adaptive Concept Aggregation for Few-shot Visual Recognition. Mach. Intell. Res. 20 (4) (2023)
Zhiqiu Xia, Chunpeng Wang, Yongwei Li, Baosheng Yu, Yibing Zhan, Qi Li, Xingyuan Wang, Bin Ma
Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments. J. Frankl. Inst. 360 (7) (2023)
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao
Multi-target Knowledge Distillation via Student Self-reflection. Int. J. Comput. Vis. 131 (7) (2023)
Shenghao Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. CoRR (2023)
Yichen Ouyang, Wenhao Chai, Jiayi Ye, Dapeng Tao, Yibing Zhan, Gaoang Wang
Chasing Consistency in Text-to-3D Generation from a Single Image. CoRR (2023)
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition. CoRR (2022)
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. SIGIR (2022)
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao
Contrastive Boundary Learning for Point Cloud Segmentation. CoRR (2022)
Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Zhe Chen, Shaoze Feng, Kejun Liu
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation. CoRR (2022)
Jia Liu, Wenjie Xuan, Yuhang Gan, Yibing Zhan, Juhua Liu, Bo Du
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection. Pattern Recognit. 132 (2022)
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. EMNLP (2022)
Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao
RU-Net: Regularized Unrolling Network for Scene Graph Generation. CVPR (2022)
Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu
Pluralistic Image Completion with Probabilistic Mixture-of-Experts. CoRR (2022)
Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao
HL-Net: Heterophily Learning Network for Scene Graph Generation. CoRR (2022)
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. AAAI (2022)
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
Where Does the Performance Improvement Come From? - A Reproducibility Concern about Image-Text Retrieval. CoRR (2022)
Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat-Seng Chua
MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation. ACM Multimedia (2022)
Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling. Int. J. Comput. Vis. 130 (4) (2022)
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. CoRR (2022)
Rui Jin, Yibing Zhan, Rong Zhang
Deep Graph Convolutional Networks Based on Contrastive Learning: Alleviating Over-smoothing Phenomenon. CICAI (3) (2022)
Yiqiang Wu, Dapeng Tao, Yibing Zhan, Chenyang Zhang
BiN-Flow: Bidirectional Normalizing Flow for Robust Image Dehazing. IEEE Trans. Image Process. 31 (2022)
Suguo Zhu, Yibing Zhan, Guo Zhao
Multi-model Lightweight Action Recognition with Group-Shuffle Graph Convolutional Network. CICAI (1) (2022)
Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu
Masked Graph Auto-Encoder Constrained Graph Pooling. ECML/PKDD (2) (2022)
Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. CoRR (2022)
Xianjing Han, Xingning Dong, Xuemeng Song, Tian Gan, Yibing Zhan, Yan Yan, Liqiang Nie
Divide-and-Conquer Predictor for Unbiased Scene Graph Generation. IEEE Trans. Circuits Syst. Video Technol. 32 (12) (2022)
Zhi Chen, Yibing Zhan
Relative Position Relationship Learning Network for Scene Graph Generation. CICAI (1) (2022)
Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
Vega-MT: The JD Explore Academy Translation System for WMT22. CoRR (2022)
Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. CoRR (2022)
Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao
Learning Graph Neural Networks for Image Style Transfer. CoRR (2022)
Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu
Improving Adversarial Robustness via Mutual Information Estimation. CoRR (2022)
Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge, Tongliang Liu
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning. NeurIPS (2022)
Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT (2022)
Ping Li, Zhou Yu, Yibing Zhan
Deep relational self-Attention networks for scene graph generation. Pattern Recognit. Lett. 153 (2022)
Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao
RU-Net: Regularized Unrolling Network for Scene Graph Generation. CoRR (2022)
Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He
Exploring High-Order Structure for Robust Graph Structure Learning. CoRR (2022)
Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. CoRR (2022)
Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR (2022)
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao
Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. MMSP (2022)
Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu
Improving Adversarial Robustness via Mutual Information Estimation. ICML (2022)
Chuang Liu, Yibing Zhan, Chang Li, Bo Du, Jia Wu, Wenbin Hu, Tongliang Liu, Dacheng Tao
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. CoRR (2022)
Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu
Pluralistic Image Completion with Gaussian Mixture Models. NeurIPS (2022)
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao
Contrastive Boundary Learning for Point Cloud Segmentation. CVPR (2022)
Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu
Dual-branch Density Ratio Estimation for Signed Network Embedding. WWW (2022)
Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yibing Zhan