Qi Qian

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 48

Top Topics

Image Recognition

Learning To Rank

Metric Learning

Semantic Segmentation

Top Venues

Publications

Shian Du, Xiaotian Cheng, Qi Qian, Henglu Wei, Yi Xu, Xiangyang Ji
Efficient Personalized Text-to-image Generation by Leveraging Textual Subspace. CoRR (2024)
Qi Qian, Yuanhong Xu, Juhua Hu
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP. NeurIPS (2023)
Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. CoRR (2023)
Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. EMNLP (Findings) (2023)
Yuqi Zhang, Qi Qian, Hongsong Wang, Chong Liu, Weihua Chen, Fan Wang
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval. CoRR (2023)
Jianlong Yuan, Qi Qian, Fei Du, Zhibin Wang, Fan Wang, Yifan Liu
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation. CoRR (2022)
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
Unsupervised Visual Representation Learning by Online Constrained K-Means. CVPR (2022)
Jianlong Yuan, Jinchao Ge, Qi Qian, Zhibin Wang, Fan Wang, Yifan Liu
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation. CoRR (2022)
Yuqi Zhang, Qi Qian, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin
Graph Convolution for Re-Ranking in Person Re-Identification. ICASSP (2022)
Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li
Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization. CoRR (2022)
Qi Qian, Hao Li, Juhua Hu
Improved Knowledge Distillation via Full Kernel Matrix Transfer. SDM (2022)
Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization. ACM Multimedia (2022)
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin
Improved Fine-Tuning by Better Leveraging Pre-Training Data. NeurIPS (2022)
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation. CoRR (2022)
Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin
Dash: Semi-Supervised Learning with Dynamic Thresholding. ICML (2021)
Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework. CVPR (2021)
Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework. CoRR (2021)
Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. ICCV (2021)
Yi Xu, Qi Qian, Hao Li, Rong Jin
Why Does Multi-Epoch Training Help? CoRR (2021)
Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin
Unsupervised Visual Representation Learning by Online Constrained K-Means. CoRR (2021)
Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin
Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice. CoRR (2021)
Yi Xu, Qi Qian, Hao Li, Rong Jin
A Theoretical Analysis of Learning with Noisily Labeled Data. CoRR (2021)
Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition. CoRR (2021)
Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin
Dash: Semi-Supervised Learning with Dynamic Thresholding. CoRR (2021)
Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu
Weakly Supervised Representation Learning with Coarse Labels. ICCV (2021)
Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin
WeMix: How to Better Utilize Data Augmentation. CoRR (2020)
Ming Lin, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin
Neural Architecture Design for GPU-Efficient Networks. CoRR (2020)
Qi Qian, Hao Li, Juhua Hu
Efficient Kernel Transfer in Knowledge Distillation. CoRR (2020)
Qi Qian, Lei Chen, Hao Li, Rong Jin
DR Loss: Improving Object Detection by Distributional Ranking. CVPR (2020)
Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu
Representation Learning with Fine-grained Patterns. CoRR (2020)
Lei Chen, Qi Qian, Hao Li
Semi-Anchored Detector for One-Stage Object Detection. CoRR (2020)
Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin
Towards Understanding Label Smoothing. CoRR (2020)
Qi Qian, Juhua Hu, Hao Li
Hierarchically Robust Representation Learning. CVPR (2020)
Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. ICCV (2019)
Qi Qian, Lei Chen, Hao Li, Rong Jin
DR Loss: Improving Object Detection by Distributional Ranking. CoRR (2019)
Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. KDD (2019)
Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin
Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. CoRR (2019)
Zhiyu Tan, Xuecheng Nie, Qi Qian, Nan Li, Hao Li
Learning to Rank Proposals for Object Detection. ICCV (2019)
Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li
Robust Optimization over Multiple Domains. AAAI (2019)
Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee. CoRR (2019)
Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling. CoRR (2019)
Qi Qian, Juhua Hu, Hao Li
Hierarchically Robust Representation Learning. CoRR (2019)
Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. AAAI (2019)
Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li
Robust Optimization over Multiple Domains. CoRR (2018)
Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin
Large-scale Distance Metric Learning with Uncertainty. CoRR (2018)
Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin
Large-Scale Distance Metric Learning With Uncertainty. CVPR (2018)
Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu
Finding multiple stable clusterings. Knowl. Inf. Syst. 51 (3) (2017)
Gang Liu, Qi Qian, Zhibin Wang, Qingen Zhao, Tianzhou Wang, Hao Li, Jian Xue, Shenghuo Zhu, Rong Jin, Tuo Zhao
The Opensesame NIST 2016 Speaker Recognition Evaluation System. INTERSPEECH (2017)
Juhua Hu, Qi Qian, Jian Pei, Rong Jin, Shenghuo Zhu
Finding Multiple Stable Clusterings. ICDM (2015)
Qi Qian, Inci M. Baytas, Rong Jin, Anil K. Jain, Shenghuo Zhu
Similarity Learning via Adaptive Regression and Its Application to Image Retrieval. CoRR (2015)
Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu
Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD). Mach. Learn. 99 (3) (2015)
Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin
Fine-grained visual categorization via multi-stage metric learning. CVPR (2015)
Qi Qian, Rong Jin, Lijun Zhang, Shenghuo Zhu
Towards Making High Dimensional Distance Metric Learning Practical. CoRR (2015)
Qi Qian, Rong Jin, Shenghuo Zhu, Yuanqing Lin
An Integrated Framework for High Dimensional Distance Metric Learning and Its Application to Fine-Grained Visual Categorization. CoRR (2014)
Qi Qian, Juhua Hu, Rong Jin, Jian Pei, Shenghuo Zhu
Distance metric learning using dropout: a structured regularization approach. KDD (2014)
Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil K. Jain
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion. ICML (3) (2013)
Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD) CoRR (2013)
T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou
Building Decision Trees for the Multi-class Imbalance Problem. PAKDD (1) (2012)