Homepage: https://mightyzau.github.io
2019 - now, Conducting visual algorithm research in Alibaba DAMO Academy.
2014 - 2019, PhD student at Zhejiang University.
Qiang Zhou, Zhibin Wang, Wei Chu, Yinghui Xu, Hao Li, Yuan Qi InfMLLM: A Unified Framework for Visual-Language Tasks (arxiv 2023)
Shaofeng Zhang, Jinfa Huang, Qiang Zhou, zhibin wang, Fan Wang, Jiebo Luo, Junchi Yan Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach (ICLR 2024)
Qiang Zhou, Chaohui Yu, Jingliang Li, Yuang Liu, Jing Wang, Zhibin Wang. ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo (arxiv 2023)
Yuang Liu, Qiang Zhou, Jing Wang, Fan Wang, Jun Wang, Wei Zhang. Dynamic Token-Pass Transformers for Semantic Segmentation (WACV 2024)
Qiang Zhou, Chaohui Yu, Shaofeng Zhang, Sitong Wu, Zhibing Wang, Fan Wang. RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension (arxiv 2023)
Jingliang Li, Qiang Zhou, Chaohui Yu, Zhengda Lu, Jun Xiao, Zhibin Wang, Fan Wang. Improved Neural Radiance Fields Using Pseudo-depth and Fusion (arxiv 2023)
Chaohui Yu, Qiang Zhou, Jingliang Li, Zhe Zhang, Zhibin Wang, Fan Wang. Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation (ACM MM 2023)
Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan. Patch-level Contrastive Learning via Positional Query for Visual Pre-training. (ICML 2023)
Chaohui Yu, Qiang Zhou, Jingliang Li, Jianlong Yuan, Zhibin Wang, Fan Wang. Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation. (CVPR 2023)
Qiang Zhou, Yuang Liu, Chaohui Yu, Jinliang Li, Zhibin Wang, Fan Wang. LMSeg: Language-guided Multi-dataset Segmentation. (ICLR 2023)
Qiang Zhou, Chaohui Yu, Zhibin Wang, Fan Wang. D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers. (ICASSP 2023)
Yongtao Ge, Qiang Zhou, Xinlong Wang, Chunhua Shen, Zhibin Wang, Hao Li. Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations. (AAAI 2023)
Qiang Zhou, Chaohui Yu, Chunhua Shen, Zhibin Wang, Hao Li. Object Detection Made Simpler by Eliminating Heuristic NMS (IEEE Transactions on Multimedia, 2023)
Qiang Zhou, Chaohui Yu. Point RCNN: An Angle-Free Framework for Rotated Object Detection. (Remote Sensing, 2022)
Qiang Zhou, Chaohui Yu, Hao Luo, Zhibin Wang, Hao Li. MimCo: Masked Image Modeling Pre-training with Contrastive Teacher. (ACM MM 2022)
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, Xin Li. Visual positioning of distant wall-climbing robots using convolutional neural networks. (Journal of Intelligent & Robotic Systems, 2019)
Qiang Zhou, Xin Li. STN-homography: Direct estimation of homography parameters for image pairs.(Applied Sciences, 2019)
Qiang Zhou, Xin Li. Deep homography estimation and its application to wall maps of wall-climbing robots. (Applied Sciences, 2019)
Qiang Zhou, Xin Li. Experimental investigation on climbing robot using rotation-flow adsorption unit. (Robotics and Autonomous Systems, 2018)
Qiang Zhou, Xin Li. Design of wall-climbing robot using electrically activated rotational-flow adsorption unit (IROS, 2016)
Qiang Zhou, Xin Li. Experimental comparison of drag-wiper and roller-wiper glass-cleaning robots. (Industrial Robot: An International Journal, 2016)
1st place, LUAI Challenge 2021 on Learning To Understand Aerial Images at ICCV 2021. Technical reports.
2nd place，LVIS Challenge 2020 at EECV 2020. Technical reports.
Email: mightyzau@gmail.com；zhouqiang@zju.edu.cn