Chenchen Zhu - RankMe

67 papers A* 12B 3Misc 2Journal 38Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-objective Evolutionary Algorithm Based on Bi-population with Uniform Sampling for Neural Architecture Search. CoRR Yu Xue, Pengcheng Jiang, Chenchen Zhu, Yong Zhang, Ran Cheng, Kaizhou Gao, Dunwei Gong
2026	J	`jnl`	A Pairwise Comparison Relation-Assisted Multiobjective Evolutionary Neural Architecture Search Method With Multipopulation Mechanism. IEEE Trans. Syst. Man Cybern. Syst. Yu Xue, Pengcheng Jiang, Chenchen Zhu, MengChu Zhou, Mohamed Wahib, Moncef Gabbouj
2026	J	`jnl`	Efficient Universal Perception Encoder. CoRR Chenchen Zhu, Saksham Suri, Cijo Jose, Maxime Oquab, Marc Szafraniec, Wei Wen, Yunyang Xiong, Patrick Labatut, Piotr Bojanowski, Raghuraman Krishnamoorthi, Vikas Chandra
2026	J	`jnl`	SCONE: A Practical, Constraint-Aware Plug-in for Latent Encoding in Learned DNA Storage. CoRR Cihan Ruan, Lebin Zhou, Rongduo Han, Linyi Han, Bingqing Zhao, Chenchen Zhu, Wei Jiang, Wei Wang, Nam Ling
2026	J	`jnl`	VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice. CoRR Shuming Liu, Mingchen Zhuge, Changsheng Zhao, Jun Chen, Lemeng Wu, Zechun Liu, Chenchen Zhu, Zhipeng Cai, Chong Zhou, Haozhe Liu, Ernie Chang, Saksham Suri, Hongyu Xu, Qi Qian, Wei Wen, Balakrishnan Varadarajan, Zhuang Liu, Hu Xu, Florian Bordes, Raghuraman Krishnamoorthi, Bernard Ghanem, Vikas Chandra, Yunyang Xiong
2025	J	`jnl`	Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images. Trans. Mach. Learn. Res. Zhuoran Yu, Chenchen Zhu, Sean Culatana, Raghuraman Krishnamoorthi, Fanyi Xiao, Yong Jae Lee
2025	A*	`conf`	EdgeTAM: On-Device Track Anything Model. CVPR Chong Zhou, Chenchen Zhu, Yunyang Xiong, Saksham Suri, Fanyi Xiao, Lemeng Wu, Raghuraman Krishnamoorthi, Bo Dai, Chen Change Loy, Vikas Chandra, Bilge Soran
2025	J	`jnl`	EdgeTAM: On-Device Track Anything Model. CoRR Chong Zhou, Chenchen Zhu, Yunyang Xiong, Saksham Suri, Fanyi Xiao, Lemeng Wu, Raghuraman Krishnamoorthi, Bo Dai, Chen Change Loy, Vikas Chandra, Bilge Soran
2025	A*	`conf`	LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. ICML Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra
2025	J	`jnl`	MetaVLA: Unified Meta Co-training For Efficient Embodied Adaption. CoRR Chen Li, Zhantao Yang, Han Zhang, Fangyi Chen, Chenchen Zhu, Anudeepsekhar Bolimera, Marios Savvides
2024	J	`jnl`	A Pairwise Comparison Relation-assisted Multi-objective Evolutionary Neural Architecture Search Method with Multi-population Mechanism. CoRR Yu Xue, Chenchen Zhu, MengChu Zhou, Mohamed Wahib, Moncef Gabbouj
2024	J	`jnl`	Efficient Track Anything. CoRR Yunyang Xiong, Chong Zhou, Xiaoyu Xiang, Lemeng Wu, Chenchen Zhu, Zechun Liu, Saksham Suri, Balakrishnan Varadarajan, Ramya Akula, Forrest N. Iandola, Raghuraman Krishnamoorthi, Bilge Soran, Vikas Chandra
2024	A*	`conf`	EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CVPR Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra
2024	J	`jnl`	LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. CoRR Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra
2023	—	`conf`	An AAE-based Proactive Content Chunked Caching Scheme with Mobility Prediction in VANETs. CNIOT Limei Jin, Chenchen Zhu, Lei Yu, Benhong Zhang
2023	J	`jnl`	Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images. CoRR Zhuoran Yu, Chenchen Zhu, Sean Chang Culatana, Raghuraman Krishnamoorthi, Fanyi Xiao, Yong Jae Lee
2023	J	`jnl`	EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. CoRR Yunyang Xiong, Bala Varadarajan, Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, Fei Sun, Forrest N. Iandola, Raghuraman Krishnamoorthi, Vikas Chandra
2023	A*	`conf`	EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding. ICCV Chenchen Zhu, Fanyi Xiao, Andres Alvarado, Yasmine Babaei, Jiabo Hu, Hichem El-Mohri, Sean Chang Culatana, Roshan Sumbaly, Zhicheng Yan
2023	J	`jnl`	EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding. CoRR Chenchen Zhu, Fanyi Xiao, Andres Alvarado, Yasmine Babaei, Jiabo Hu, Hichem El-Mohri, Sean Chang Culatana, Roshan Sumbaly, Zhicheng Yan
2023	A*	`conf`	Enhanced Training of Query-Based Object Detection via Selective Query Recollection. CVPR Fangyi Chen, Han Zhang, Kai Hu, Yu-Kai Huang, Chenchen Zhu, Marios Savvides
2023	A*	`conf`	Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only. ICCV Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Chang Culatana, Mohamed Elhoseiny
2023	J	`jnl`	Exploring Open-Vocabulary Semantic Segmentation without Human Labels. CoRR Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Chang Culatana
2023	J	`jnl`	Gen2Det: Generate to Detect. CoRR Saksham Suri, Fanyi Xiao, Animesh Sinha, Sean Chang Culatana, Raghuraman Krishnamoorthi, Chenchen Zhu, Abhinav Shrivastava
2023	A*	`conf`	Going Denser with Open-Vocabulary Part Segmentation. ICCV Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan
2023	J	`jnl`	Going Denser with Open-Vocabulary Part Segmentation. CoRR Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan
2023	J	`jnl`	SqueezeSAM: User friendly mobile interactive segmentation. CoRR Balakrishnan Varadarajan, Bilge Soran, Forrest N. Iandola, Xiaoyu Xiang, Yunyang Xiong, Lemeng Wu, Chenchen Zhu, Raghuraman Krishnamoorthi, Vikas Chandra
2023	J	`jnl`	Task offloading and resource allocation for intersection scenarios in vehicular edge computing. Int. J. Sens. Networks Benhong Zhang, Chenchen Zhu, Limei Jin, Xiang Bi
2022	J	`jnl`	3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez
2022	J	`jnl`	Enhanced Training of Query-Based Object Detection via Selective Query Recollection. CoRR Fangyi Chen, Han Zhang, Kai Hu, Yu-Kai Huang, Chenchen Zhu, Marios Savvides
2022	—	`—`	Towards Object Detection in the Real World. Chenchen Zhu
2022	—	`conf`	Unitail: Detecting, Reading, and Matching in Retail Scene. ECCV (7) Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides
2022	J	`jnl`	Unitail: Detecting, Reading, and Matching in Retail Scene. CoRR Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides
2021	A*	`conf`	Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. CVPR Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides
2021	J	`jnl`	Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. CoRR Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides
2020	J	`jnl`	NCMS: Towards accurate anchor free object detection through ℓ2 norm calibration and multi-feature selection. Comput. Vis. Image Underst. Fangyi Chen, Chenchen Zhu, Zhiqiang Shen, Han Zhang, Marios Savvides
2020	—	`conf`	Soft Anchor-Point Object Detection. ECCV (9) Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides
2020	Misc	`conf`	Solving Missing-Annotation Object Detection with Background Recalibration Loss. ICASSP Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides
2020	J	`jnl`	Solving Missing-Annotation Object Detection with Background Recalibration Loss. CoRR Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides
2019	—	`conf`	A Novel Collaborative Control Strategy for Enhanced Training of Vehicle Recognition. VTC Fall Fangyi Chen, Chenchen Zhu, Marios Savvides
2019	J	`jnl`	Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement. CoRR Zhiqiang Shen, Zhankui He, Wanyun Cui, Jiahui Yu, Yutong Zheng, Chenchen Zhu, Marios Savvides
2019	A*	`conf`	Bounding Box Regression With Uncertainty for Accurate Object Detection. CVPR Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang
2019	A*	`conf`	Feature Selective Anchor-Free Module for Single-Shot Object Detection. CVPR Chenchen Zhu, Yihui He, Marios Savvides
2019	J	`jnl`	Feature Selective Anchor-Free Module for Single-Shot Object Detection. CoRR Chenchen Zhu, Yihui He, Marios Savvides
2019	J	`jnl`	MMDetection: Open MMLab Detection Toolbox and Benchmark. CoRR Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin
2019	J	`jnl`	Soft Anchor-Point Object Detection. CoRR Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides
2018	B	`conf`	Enhancing Interior and Exterior Deep Facial Features for Face Detection in the Wild. FG Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
2018	A*	`conf`	Seeing Small Faces From Robust Anchor's Perspective. CVPR Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides
2018	J	`jnl`	Seeing Small Faces from Robust Anchor's Perspective. CoRR Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides
2017	J	`jnl`	DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW). Pattern Recognit. T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
2017	J	`jnl`	Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses. CoRR Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu, Marios Savvides
2017	A*	`conf`	Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses. ICCV Chandrasekhar Bhagavatula, Chenchen Zhu, Khoa Luu, Marios Savvides
2017	J	`jnl`	Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation. CoRR T. Hoang Ngan Le, Kha Gia Quach, Khoa Luu, Marios Savvides, Chenchen Zhu
2017	—	`conf`	Robust Hand Detection and Classification in Vehicles and in the Wild. CVPR Workshops T. Hoang Ngan Le, Kha Gia Quach, Chenchen Zhu, Chi Nhan Duong, Khoa Luu, Marios Savvides
2017	J	`jnl`	Semi self-training beard/moustache detection and segmentation simultaneously. Image Vis. Comput. T. Hoang Ngan Le, Khoa Luu, Chenchen Zhu, Marios Savvides
2016	J	`jnl`	CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection. CoRR Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
2016	—	`conf`	Multiple Scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection. CVPR Workshops T. Hoang Ngan Le, Yutong Zheng, Chenchen Zhu, Khoa Luu, Marios Savvides
2016	B	`conf`	Robust hand detection in Vehicles. ICPR T. Hoang Ngan Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides
2016	J	`jnl`	Towards a Deep Learning Framework for Unconstrained Face Detection. CoRR Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides
2016	—	`conf`	Towards a deep learning framework for unconstrained face detection. BTAS Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides
2016	—	`conf`	Weakly Supervised Facial Analysis with Dense Hyper-Column Features. CVPR Workshops Chenchen Zhu, Yutong Zheng, Khoa Luu, T. Hoang Ngan Le, Chandrasekhar Bhagavatula, Marios Savvides
2014	—	`conf`	Distributed class dependent feature analysis - A big data approach. IEEE BigData Khoa Luu, Chenchen Zhu, Marios Savvides
2014	—	`conf`	Prediction of solar power generation based on the principal components analysis and the BP neural network. CCIS Jiapeng Xiu, Chenchen Zhu, Zhengqiu Yang
2013	Misc	`conf`	A robust fusion scheme for multifocus images using sparse features. ICASSP Tao Wan, Zengchang Qin, Chenchen Zhu, Renjie Liao
2013	J	`jnl`	Multifocus image fusion based on robust principal component analysis. Pattern Recognit. Lett. Tao Wan, Chenchen Zhu, Zengchang Qin
2013	—	`conf`	RAS: A Task Scheduling Algorithm Based on Resource Attribute Selection in a Task Scheduling Framework. IDCS Yong Zhao, Liang Chen, Youfu Li, Peng Liu, Xiaolong Li, Chenchen Zhu
2011	J	`jnl`	Novel Mechano-Luminescent Sensors Based on Piezoelectric/Electroluminescent Composites. Sensors Yanmin Jia, Xiangling Tian, Zheng Wu, Xiaojuan Tian, Jiayi Zhou, Yunzhang Fang, Chenchen Zhu
2004	B	`conf`	Small Phylogeny Problem: Character Evolution Trees. CPM Arvind Gupta, Ján Manuch, Ladislav Stacho, Chenchen Zhu