Hao Li

According to our database, Hao Li authored at least 123 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dynamic gradient reactivation for backward compatible person re-identification.

Xiao Pan, Hao Luo, Weihua Chen, Fan Wang, Hao Li, Wei Jiang, Jianming Zhang, Jianyang Gu, Peike Li

Pattern Recognit., February, 2024

Relationships between brain structure-function coupling in normal aging and cognition: A cross-ethnicity population-based study.

Chang Liu, Jing Jing, Jiyang Jiang, Wei Wen, Wanlin Zhu, Zixiao Li, Yuesong Pan, Xueli Cai, Hao Liu, Yijun Zhou, Xia Meng, Jicong Zhang, Yilong Wang, Hao Li, Yong Jiang, Huaguang Zheng, Suying Wang, Haijun Niu, Nicole A. Kochan, Henry Brodaty, Tiemin Wei, Perminder S. Sachdev, Tao Liu, Yongjun Wang

NeuroImage, 2024

FaceVid-1K: A Large-Scale High-Quality Multiracial Human Face Video Dataset.

Donglin Di, He Feng, Wenzhang Sun, Yongjia Ma, Hao Li, Wei Chen, Xiaofei Gou, Tonghua Su, Xun Yang

CoRR, 2024

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors.

Xiangchen Yin, Donglin Di, Lei Fan, Hao Li, Chen Wei, Xiaofei Gou, Yang Song, Xiao Sun, Xun Yang

CoRR, 2024

Cascaded Temporal Updating Network for Efficient Video Super-Resolution.

Hao Li, Jiangxin Dong, Jinshan Pan

CoRR, 2024

EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models.

Zhiyu Tan, Xiaomeng Yang, Luozheng Qin, Mengping Yang, Cheng Zhang, Hao Li

CoRR, 2024

Predicting functional outcome in ischemic stroke patients using genetic, environmental, and clinical factors: a machine learning analysis of population-based prospective cohort study.

Siding Chen, Zhe Xu, Jinfeng Yin, Hongqiu Gu, Yanfeng Shi, Cang Guo, Xia Meng, Hao Li, Xinying Huang, Yong Jiang, Yongjun Wang

Briefings Bioinform., 2024

A clinically actionable and explainable real-time risk assessment framework for stroke-associated pneumonia.

Lutao Dai, Xin Yang, Hao Li, Xingquan Zhao, Lin Lin, Yong Jiang, Yongjun Wang, Zixiao Li, Haipeng Shen

Artif. Intell. Medicine, 2024

EGGen: Image Generation with Multi-entity Prior Learning through Entity Guidance.

Zhenhong Sun, Junyan Wang, Zhiyu Tan, Daoyi Dong, Hailan Ma, Hao Li, Dong Gong

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation.

Zhiyu Tan, Mengping Yang, Luozheng Qin, Hao Yang, Ye Qian, Qiang Zhou, Cheng Zhang, Hao Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation.

Junyan Wang, Zhenhong Sun, Zhiyu Tan, Xuanbai Chen, Weihua Chen, Hao Li, Cheng Zhang, Yang Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

What Limits the Performance of Local Self-attention?

Jingkai Zhou, Pichao Wang, Jiasheng Tang, Fan Wang, Qiong Liu, Hao Li, Rong Jin

Int. J. Comput. Vis., October, 2023

A Deep Learning System to Predict Recurrence and Disability Outcomes in Patients with Transient Ischemic Attack or Ischemic Stroke.

Jing Jing, Ziyang Liu, Hao Guan, Wanlin Zhu, Zhe Zhang, Xia Meng, Jian Cheng, Yuesong Pan, Yong Jiang, Yilong Wang, Haijun Niu, Xingquan Zhao, Wei Wen, Jinxi Lin, Wei Li, Hao Li, Perminder S. Sachdev, Tao Liu, Zixiao Li, Dacheng Tao, Yongjun Wang

Adv. Intell. Syst., April, 2023

InfMLLM: A Unified Framework for Visual-Language Tasks.

Qiang Zhou, Zhibin Wang, Wei Chu, Yinghui Xu, Hao Li, Yuan Qi

CoRR, 2023

OVO: Open-Vocabulary Occupancy.

Zhiyu Tan, Zichao Dong, Cheng Zhang, Weikun Zhang, Hang Ji, Hao Li

CoRR, 2023

Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations.

Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition.

Zichang Tan, Ajian Liu, Jun Wan, Hao Li, Zhen Lei, Guodong Guo, Stan Z. Li

IEEE Trans. Image Process., 2022

Multi-View Evolutionary Training for Unsupervised Domain Adaptive Person Re-Identification.

Jianyang Gu, Weihua Chen, Hao Luo, Fan Wang, Hao Li, Wei Jiang, Weijie Mao

IEEE Trans. Inf. Forensics Secur., 2022

Contrastive Haze-Aware Learning for Dynamic Remote Sensing Image Dehazing.

Jiangtao Nie, Wei Wei, Lei Zhang, Jianlong Yuan, Zhibin Wang, Hao Li

IEEE Trans. Geosci. Remote. Sens., 2022

Class-Aware Feature Aggregation Network for Video Object Detection.

Liang Han, Pichao Wang, Zhaozheng Yin, Fan Wang, Hao Li

IEEE Trans. Circuits Syst. Video Technol., 2022

Beyond Classifiers: Remote Sensing Change Detection with Metric Learning.

Yuqi Zhang, Wei Li, Yaohua Wang, Zhibin Wang, Hao Li

Remote. Sens., 2022

Towards a More Realistic and Detailed Deep-Learning-Based Radar Echo Extrapolation Method.

Yuan Hu, Lei Chen, Zhibin Wang, Xiang Pan, Hao Li

Remote. Sens., 2022

Refining pseudo labels for unsupervised Domain Adaptive Re-Identification.

Shanshan Wang, Lei Zhang, Weihua Chen, Fan Wang, Hao Li

Knowl. Based Syst., 2022

Revisiting instance search: A new benchmark using cycle self-training.

Yuqi Zhang, Chong Liu, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Shiyu Hu, Xin Zhao

Neurocomputing, 2022

Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization.

Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li

CoRR, 2022

Semi-supervised Deep Multi-view Stereo.

Hongbin Xu, Zhipeng Zhou, Weitao Cheng, Baigui Sun, Hao Li, Wenxiong Kang

CoRR, 2022

DLME: Deep Local-flatness Manifold Embedding.

Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

CoRR, 2022

Point RCNN: An Angle-Free Framework for Rotated Object Detection.

Qiang Zhou, Chaohui Yu, Zhibin Wang, Hao Li

CoRR, 2022

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN.

Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

CoRR, 2022

SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation.

Yuan Hu, Lei Chen, Zhibin Wang, Hao Li

CoRR, 2022

An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation.

Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Xiangyang Ji, Antoni B. Chan

CoRR, 2022

Improved Knowledge Distillation via Full Kernel Matrix Transfer.

Qi Qian, Hao Li, Juhua Hu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

VTC-LFC: Vision Transformer Compression with Low-Frequency Components.

Zhenyu Wang, Hao Luo, Pichao Wang, Feng Ding, Fan Wang, Hao Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Entropy-Driven Mixed-Precision Quantization for Deep Network Design.

Zhenhong Sun, Ce Ge, Junyan Wang, Ming C. Lin, Hesen Chen, Hao Li, Xiuyu Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improved Fine-Tuning by Better Leveraging Pre-Training Data.

Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Xiangyang Ji, Antoni B. Chan, Rong Jin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MimCo: Masked Image Modeling Pre-training with Contrastive Teacher.

Qiang Zhou, Chaohui Yu, Hao Luo, Zhibin Wang, Hao Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Semantic Data Augmentation based Distance Metric Learning for Domain Generalization.

Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation.

Shuning Chang, Pichao Wang, Fan Wang, Hao Li, Zheng Shou

Proceedings of the HCMA@MM 2022: Proceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis, 2022

Dependency-Aware Traffic Management for Configuring On-demand in Service Meshes.

Lin Wang, Xin Li, Ning Wang, Hao Li, Xiaolin Qin, Jie Wu

Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection.

Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Hao Li, Rong Jin

Proceedings of the International Conference on Machine Learning, 2022

CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation.

Tongkun Xu, Weihua Chen, Pichao Wang, Fan Wang, Hao Li, Rong Jin

Proceedings of the Tenth International Conference on Learning Representations, 2022

GiraffeDet: A Heavy-Neck Paradigm for Object Detection.

Yiqi Jiang, Zhiyu Tan, Junyan Wang, Xiuyu Sun, Ming C. Lin, Hao Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph Convolution for Re-Ranking in Person Re-Identification.

Yuqi Zhang, Qi Qian, Chong Liu, Weihua Chen, Fan Wang, Hao Li, Rong Jin

Proceedings of the IEEE International Conference on Acoustics, 2022

Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer.

Pichao Wang, Fan Wang, Hao Li

Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive Matching Strategy for Multi-Target Multi-Camera Tracking.

Chong Liu, Yuqi Zhang, Weihua Chen, Fan Wang, Hao Li, Yi-Dong Shen

Proceedings of the IEEE International Conference on Acoustics, 2022

Jmpnet: Joint Motion Prediction for Learning-Based Video Compression.

Dongyang Li, Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Yichen Qian, Hao Li

Proceedings of the IEEE International Conference on Acoustics, 2022

DLME: Deep Local-Flatness Manifold Embedding.

Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

Proceedings of the Computer Vision - ECCV 2022, 2022

TransFGU: A Top-Down Approach to Fine-Grained Unsupervised Semantic Segmentation.

Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin

Proceedings of the Computer Vision - ECCV 2022, 2022

KVT: k-NN Attention for Boosting Vision Transformers.

Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin

Proceedings of the Computer Vision, 2022

Unstructured Feature Decoupling for Vehicle Re-identification.

Wen Qian, Hao Luo, Silong Peng, Fan Wang, Chen Chen, Hao Li

Proceedings of the Computer Vision - ECCV 2022, 2022

Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition.

Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Efficient Training Approach for Very Large Scale Face Recognition.

Kai Wang, Shuo Wang, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MogFace: Towards a Deeper Appreciation on Face Detection.

Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.

Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation.

Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, Hao Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Visual Representation Learning by Online Constrained K-Means.

Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Scaled ReLU Matters for Training Vision Transformers.

Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

TransZero: Attribute-Guided Transformer for Zero-Shot Learning.

Shiming Chen, Ziming Hong, Yang Liu, Guo-Sen Xie, Baigui Sun, Hao Li, Qinmu Peng, Ke Lu, Xinge You

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Context and Structure Mining Network for Video Object Detection.

Liang Han, Pichao Wang, Zhaozheng Yin, Fan Wang, Hao Li

Int. J. Comput. Vis., 2021

ELSA: Enhanced Local Self-Attention for Vision Transformer.

Jingkai Zhou, Pichao Wang, Fan Wang, Qiong Liu, Hao Li, Rong Jin

CoRR, 2021

TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning.

Shiming Chen, Ziming Hong, Guo-Sen Xie, Jian Zhao, Hao Li, Xinge You, Shuicheng Yan, Ling Shao

CoRR, 2021

Improved Fine-tuning by Leveraging Pre-training Data: Theory and Practice.

Ziquan Liu, Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Antoni B. Chan, Rong Jin

CoRR, 2021

Self-Supervised Pre-Training for Transformer-Based Person Re-Identification.

Hao Luo, Pichao Wang, Yi Xu, Feng Ding, Yanxin Zhou, Fan Wang, Hao Li, Rong Jin

CoRR, 2021

2nd Place Solution to Google Landmark Retrieval 2021.

Yuqi Zhang, Xianzhe Xu, Weihua Chen, Yaohua Wang, Fangyi Zhang, Fan Wang, Hao Li

CoRR, 2021

Fine-Grained AutoAugmentation for Multi-Label Classification.

Ya Wang, Hesen Chen, Fangyi Zhang, Yaohua Wang, Xiuyu Sun, Ming Lin, Hao Li

CoRR, 2021

Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment.

Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

CoRR, 2021

KVT: k-NN Attention for Boosting Vision Transformers.

Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Wen Xie, Hao Li, Rong Jin

CoRR, 2021

An Efficient Training Approach for Very Large Scale Face Recognition.

Kai Wang, Shuo Wang, Zhipeng Zhou, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You

CoRR, 2021

Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection.

Cangning Fan, Fangyi Zhang, Peng Liu, Xiuyu Sun, Hao Li, Ting Xiao, Wei Zhao, Xianglong Tang

CoRR, 2021

Why Does Multi-Epoch Training Help?

Yi Xu, Qi Qian, Hao Li, Rong Jin

CoRR, 2021

Learning to Cluster Faces via Transformer.

Jinxing Ye, Xiaojiang Peng, Baigui Sun, Kai Wang, Xiuyu Sun, Hao Li, Hanqing Wu

CoRR, 2021

A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation.

Jianlong Yuan, Yifan Liu, Chunhua Shen, Zhibin Wang, Hao Li

CoRR, 2021

Spatiotemporal Entropy Model is All You Need for Learned Video Compression.

Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Dongyang Li, Yichen Qian, Hao Li

CoRR, 2021

A Theoretical Analysis of Learning with Noisily Labeled Data.

Yi Xu, Qi Qian, Hao Li, Rong Jin

CoRR, 2021

Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation.

Shuning Chang, Pichao Wang, Fan Wang, Hao Li, Jiashi Feng

CoRR, 2021

MogFace: Rethinking Scale Augmentation on the Face Detector.

Yang Liu, Fei Wang, Baigui Sun, Hao Li

CoRR, 2021

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition.

Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin

CoRR, 2021

Object Detection Made Simpler by Eliminating Heuristic NMS.

Qiang Zhou, Chaohui Yu, Chunhua Shen, Zhibin Wang, Hao Li

CoRR, 2021

1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking.

Fei Du, Bo Xu, Jiasheng Tang, Yuqi Zhang, Fan Wang, Hao Li

CoRR, 2021

HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning.

Shiming Chen, Guo-Sen Xie, Yang Liu, Qinmu Peng, Baigui Sun, Hao Li, Xinge You, Ling Shao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Interpolation Variable Rate Image Compression.

Zhenhong Sun, Zhiyu Tan, Xiuyu Sun, Fangyi Zhang, Yichen Qian, Dongyang Li, Hao Li

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Exploring the Quality of GAN Generated Images for Person Re-Identification.

Yiqi Jiang, Weihua Chen, Xiuyu Sun, Xiaoyu Shi, Fan Wang, Hao Li

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Dash: Semi-Supervised Learning with Dynamic Thresholding.

Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yufeng Li, Baigui Sun, Hao Li, Rong Jin

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Accurate Entropy Model with Global Reference for Image Compression.

Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin

Proceedings of the 9th International Conference on Learning Representations, 2021

Mask Aware Network for Masked Face Recognition in the Wild.

Kai Wang, Shuo Wang, Jianfei Yang, Xiaobo Wang, Baigui Sun, Hao Li, Yang You

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Get better 1 pixel PCK: ladder scales correspondence flow networks for remote sensing image matching in higher resolution.

Weitao Chen, Zhibin Wang, Hao Li

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation^*.

Jianlong Yuan, Yifan Liu, Chunhua Shen, Zhibin Wang, Hao Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Digging into Uncertainty in Self-supervised Multi-view Stereo.

Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Weakly Supervised Representation Learning with Coarse Labels.

Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition.

Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

TransReID: Transformer-based Object Re-Identification.

Shuting He, Hao Luo, Pichao Wang, Fan Wang, Hao Li, Wei Jiang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

An Empirical Study of Vehicle Re-Identification on the AI City Challenge.

Hao Luo, Weihua Chen, Xianzhe Xu, Jianyang Gu, Yuqi Zhang, Chong Liu, Yiqi Jiang, Shuting He, Fan Wang, Hao Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones.

Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework.

Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification.

Jianyang Gu, Hao Luo, Weihua Chen, Yiqi Jiang, Yuqi Zhang, Shuting He, Fan Wang, Hao Li, Wei Jiang

CoRR, 2020

AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition.

Kai Wang, Yuxin Gu, Xiaojiang Peng, Baigui Sun, Hao Li

CoRR, 2020

WeMix: How to Better Utilize Data Augmentation.

Yi Xu, Asaf Noy, Ming Lin, Qi Qian, Hao Li, Rong Jin

CoRR, 2020

Efficient Kernel Transfer in Knowledge Distillation.

Qi Qian, Hao Li, Juhua Hu

CoRR, 2020

Semi-Anchored Detector for One-Stage Object Detection.

Lei Chen, Qi Qian, Hao Li

CoRR, 2020

Neural Architecture Design for GPU-Efficient Networks.

Ming Lin, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin

CoRR, 2020

Towards Understanding Label Smoothing.

Yi Xu, Yuanhong Xu, Qi Qian, Hao Li, Rong Jin

CoRR, 2020

Representation Learning with Fine-grained Patterns.

Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu

CoRR, 2020

Exploiting Better Feature Aggregation for Video Object Detection.

Liang Han, Pichao Wang, Zhaozheng Yin, Fan Wang, Hao Li

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

7.2 A 12nm Programmable Convolution-Efficient Neural-Processing-Unit Chip Achieving 825TOPS.

Yang Jiao, Liang Han, Rong Jin, Yi-Jung Su, Chiente Ho, Li Yin, Yun Li, Long Chen, Zhen Chen, Lu Liu, Zhuyu He, Yu Yan, Jun He, Jun Mao, Xiaotao Zai, Xuejun Wu, Yongquan Zhou, Mingqiu Gu, Guocai Zhu, Rong Zhong, Wenyuan Lee, Ping Chen, Yiping Chen, Weiliang Li, Deyu Xiao, Qing Yan, Mingyuan Zhuang, Jiejun Chen, Yun Tian, Yingzi Lin, Wei Wu, Hao Li, Zesheng Dou

Proceedings of the 2020 IEEE International Solid- State Circuits Conference, 2020

Unsupervised Style Transfer via Dualgan for Cross-Domain Aerial Image Classification.

Yansheng Li, Te Shi, Wei Chen, Yongjun Zhang, Zhibin Wang, Hao Li

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Hierarchically Robust Representation Learning.

Qi Qian, Juhua Hu, Hao Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DR Loss: Improving Object Detection by Distributional Ranking.

Qi Qian, Lei Chen, Hao Li, Rong Jin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multi-Domain Learning and Identity Mining for Vehicle Re-Identification.

Shuting He, Hao Luo, Weihua Chen, Miao Zhang, Yuqi Zhang, Fan Wang, Hao Li, Wei Jiang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.

Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li, Rong Jin

CoRR, 2019

Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement.

Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning.

Hesen Chen, Ming Lin, Xiuyu Sun, Qian Qi, Hao Li, Rong Jin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning to Rank Proposals for Object Detection.

Zhiyu Tan, Xuecheng Nie, Qi Qian, Nan Li, Hao Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling.

Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Tacoma Tacoma, Hao Li, Rong Jin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Robust Optimization over Multiple Domains.

Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Large-Scale Distance Metric Learning With Uncertainty.

Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM.

Cong Leng, Zesheng Dou, Hao Li, Shenghuo Zhu, Rong Jin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM.

Cong Leng, Hao Li, Shenghuo Zhu, Rong Jin

CoRR, 2017

The Opensesame NIST 2016 Speaker Recognition Evaluation System.

Gang Liu, Qi Qian, Zhibin Wang, Qingen Zhao, Tianzhou Wang, Hao Li, Jian Xue, Shenghuo Zhu, Rong Jin, Tuo Zhao

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016

Deep CTR Prediction in Display Advertising.

Junxuan Chen, Baigui Sun, Hao Li, Hongtao Lu, Xian-Sheng Hua

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2012

Multimodal Graph-Based Reranking for Web Image Search.

Meng Wang, Hao Li, Dacheng Tao, Ke Lu, Xindong Wu

IEEE Trans. Image Process., 2012

2011

Optimizing multimodal reranking for web image search.

Hao Li, Meng Wang, Zhisheng Li, Zheng-Jun Zha, Jialie Shen

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2009

MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset.

Hao Li, Meng Wang, Xian-Sheng Hua

Proceedings of the ICDM Workshops 2009, 2009

2007

New timing and routability driven placement algorithms for FPGA synthesis.

Yue Zhuo, Hao Li, Qiang Zhou, Yici Cai, Xianlong Hong

Proceedings of the 17th ACM Great Lakes Symposium on VLSI 2007, 2007