Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides, "CMS-RCNN: Contextual Multi-scale Region-based CNN for Unconstrained Face Detection", In Deep Learning for Biometrics, pp. 57-79. Springer, Cham, 2017. [Link]

Khoa Luu, Chenchen Zhu, Chandrasekhar Bhagavatula, Marios Savvides, "A Deep Learning Approach to Joint Face Detection and Segmentation", In Advances in Face Detection and Facial Image Analysis, pp. 1-12. Springer International Publishing, 2016. [Link]

Chenchen Zhu, Fanyi Xiao, Andres Alvarado, Yasmine Babaei, Jiabo Hu, Hichem El-Mohri, Sean Culatana, Roshan Sumbaly, Zhicheng Yan, "EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding", In IEEE International Conference on Computer Vision (ICCV), 2023. [Link]

Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan, "Going Denser with Open-Vocabulary Part Segmentation", In IEEE International Conference on Computer Vision (ICCV), 2023. [Link]

Jun Chen, Deyao Zhu, Guocheng Quan, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Culatana, Mohamed Elhoseiny, "Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only", In IEEE International Conference on Computer Vision (ICCV), 2023. [Link]

Fangyi Chen, Han Zhang, Kai Hu, Yu-Kai Huang, Chenchen Zhu, Marios Savvides, "Enhanced Training of Query-Based Object Detection via Selective Query Recollection", In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [Link]

Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides, "Unitail: Detecting, Reading, and Matching in Retail Scene", In European Conference on Computer Vision (ECCV), 2022. [Link]

Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides, "Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection", In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [Link]

Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides, "Soft Anchor-Point Object Detection", In European Conference on Computer Vision (ECCV), 2020. [Link]

Chenchen Zhu, Yihui He, Marios Savvides, "Feature Selective Anchor-Free Module for Single-Shot Object Detection", In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [Link]

Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang, "Bounding Box Regression with Uncertainty for Accurate Object Detection ", In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [Link]

Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides, "Seeing Small Faces from Robust Anchor's Perspective", In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [Link]

Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides, "Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild", In IEEE Conference on Automatic Face and Gesture Recognition (FG), 2018. (Oral presentation) [Link]

Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu, Marios Savvides, "Faster Than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", In IEEE International Conference on Computer Vision (ICCV), 2017. [Link]

Chenchen Zhu*, Yutong Zheng*, Khoa Luu, T Hoang Ngan Le, Chandrasekhar Bhagavatula, Marios Savvides, "Weakly Supervised Facial Analysis with Dense Hyper-column Features", In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 25-33. 2016. (* equal contribution) [Link]

Yutong Zheng*, Chenchen Zhu*, Khoa Luu, T Hoang Ngan Le, Chandrasekhar Bhagavatula, Marios Savvides, "Towards a Deep Learning Framework for Unconstrained Face Detection", In IEEE Conference on Biometrics Theory, Applications and Systems (BTAS), pp. 1-8. 2016. (* equal contribution) [Link]

T Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides, "Robust Hand Detection in Vehicles", In IEEE Conference on Pattern Recognition (ICPR), pp. 573-578. 2016. [Link]

Khoa Luu, Chenchen Zhu, Marios Savvides, "Distributed Class Dependent Feature Analysis - A Big Data Approach", In IEEE Conference on Big Data, pp. 201-206. 2014. [Link]

Fangyi Chen, Chenchen Zhu, Zhiqiang Shen, Han Zhang, Marios Savvides, "NCMS: Towards Accurate Anchor Free Object Detection through ℓ2 Norm Calibration and Multi-Feature Selection", Computer Vision and Image Understanding (CVIU). 2020 Jul 27:103050. [Link]

T Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides, "DeepSafeDrive: A Grammar-aware Driver Parsing Approach to Driver Behavioral Situational Awareness (DB-SAW)", Pattern Recognition, pp. 66:229-238, 2017. [Link]