Dou, Qi

36 publications

ICLR 2025 Boosting the Visual Interpretability of CLIP via Adversarial Fine-Tuning Shizhan Gong, Haoyu Lei, Qi Dou, Farzan Farnia

NeurIPS 2025 Contact mAP Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation Yiyao Ma, Kai Chen, Kexin Zheng, Qi Dou

CVPR 2025 Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation Jiawei Fu, Tiantian Zhang, Kai Chen, Qi Dou

ICML 2025 Kernel-Based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-Language Models Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia

ICCV 2025 Test-Time Retrieval-Augmented Adaptation for Vision-Language Models Xinqi Fan, Xueli Chen, Luoxiao Yang, Chuin Hong Yap, Rizwan Qureshi, Qi Dou, Moi Hoon Yap, Mubarak Shah

AAAI 2024 ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-Supervised Learning Yang Yu, Danruo Deng, Furui Liu, Qi Dou, Yueming Jin, Guangyong Chen, Pheng-Ann Heng

WACV 2024 Efficient Transferability Assessment for Selection of Pre-Trained Detectors Zhao Wang, Aoxue Li, Zhenguo Li, Qi Dou

CVPR 2024 Ensemble Diversity Facilitates Adversarial Transferability Bowen Tang, Zheng Wang, Yi Bin, Qi Dou, Yang Yang, Heng Tao Shen

NeurIPS 2024 FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models Ruinan Jin, Zikang Xu, Yuan Zhong, Qingsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li

ICLR 2024 Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou

NeurIPS 2024 Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li

ECCV 2024 Shape-Guided Configuration-Aware Learning for Endoscopic-Image-Based Pose Estimation of Flexible Robotic Instruments Yiyao Ma, Kai Chen, Hon-Sing Tong, Ruofeng Wei, Yui-Lun Ng, Ka-Wai Kwok, Qi Dou

CVPR 2024 Structured Gradient-Based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong, Qi Dou, Farzan Farnia

ECCV 2024 Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models Jiaqi Xu, Mengyang Wu, Xiaowei Hu, Chi-Wing Fu, Qi Dou, Pheng-Ann Heng

NeurIPS 2024 Vision Foundation Model Enables Generalizable Object Pose Estimation Kai Chen, Yiyao Ma, Xingyu Lin, Stephen James, Jianshu Zhou, Yun-Hui Liu, Pieter Abbeel, Qi Dou

ICCV 2023 Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6d Object Pose Estimation Jun Zhou, Kai Chen, Linlin Xu, Qi Dou, Jing Qin

CVPR 2023 Fair Federated Medical Image Segmentation via Client Contribution Estimation Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu

WACV 2023 Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer Junming Chen, Meirui Jiang, Qi Dou, Qifeng Chen

MIDL 2023 Preface Ender Konukoglu, Bjoern Menze, Archana Venkataraman, Christian Baumgartner, Qi Dou, Shadi Albarqouni

CVPR 2023 Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior Jiaqi Xu, Xiaowei Hu, Lei Zhu, Qi Dou, Jifeng Dai, Yu Qiao, Pheng-Ann Heng

CVPR 2023 Why Is the Winner the Best? Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldřich Kodym, Michal Kozubek, Jianning Li, Hongwei Li, Jun Ma, Carlos Martín-Isla, Bjoern Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patiño, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin van Wijnen, Martin Wagner, Donglai Wei, Amine Yamlahi, Moi Hoon Yap, Chun Yuan, Maximilian Zenk, Aneeq Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, Jihoon Cho, Chanyeol Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, Clifton D. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García Faura, Maria Grammatikopoulou, SeulGi Hong, Mostafa Jahanifar, Ikbeom Jang, Abdolrahim Kadkhodamohammadi, Inha Kang, Florian Kofler, Satoshi Kondo, Hugo Kuijf, Mingxing Li, Minh Luu, Tomaž Martinčič, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, Subeen Pang, Jinah Park, Sung-Hong Park, Szymon Plotka, Elodie Puybareau, Nasir Rajpoot, Kanghyun Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Štepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Helene Urien, João L. Vilaça, Kareem A. Wahid, Haojie Wang, Jiacheng Wang, Liansheng Wang, Xiyue Wang, Benedikt Wiestler, Marek Wodzinski, Fangfang Xia, Juanying Xie, Zhiwei Xiong, Sen Yang, Yanwu Yang, Zixuan Zhao, Klaus Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

ICLR 2022 Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients Nan Lu, Zhao Wang, Xiaoxiao Li, Gang Niu, Qi Dou, Masashi Sugiyama

AAAI 2022 HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images Meirui Jiang, Zirui Wang, Qi Dou

ECCV 2022 Sim-to-Real 6d Object Pose Estimation via Iterative Self-Training for Robotic Bin Picking Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou

AAAI 2022 Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng

ECCV 2022 Tackling Long-Tailed Category Distribution Under Domain Shifts Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang

CVPR 2022 Transformer-Empowered Multi-Scale Contextual Matching and Aggregation for Multi-Contrast MRI Super-Resolution Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin

ICLR 2021 FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou

CVPR 2021 FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng

ICCV 2021 SGPA: Structure-Guided Prior Adaptation for Category-Level 6d Object Pose Estimation Kai Chen, Qi Dou

NeurIPS 2019 Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou, Daniel Coelho de Castro, Konstantinos Kamnitsas, Ben Glocker

AAAI 2019 Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng

AAAI 2018 SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng

WACV 2018 ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng

IJCAI 2018 Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng

AAAI 2016 Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng