Ziming Liu

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 102

Top Venues

Publications

Eric J. Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide, Chloe Loughridge, Zifan Carl Guo, Tara Rezaei Kheirkhah, Mateja Vukelic, Max Tegmark
Opening the AI black box: program synthesis via mechanistic interpretability. CoRR (2024)
David D. Baek, Ziming Liu, Max Tegmark
GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory. CoRR (2024)
Qiyao Liang, Ziming Liu, Ila Fiete
Do Diffusion Models Learn Semantically Meaningful and Efficient Representations? CoRR (2024)
Jinyeop Song, Ziming Liu, Max Tegmark, Jeff Gore
A Resource Model For Neural Scaling Law. CoRR (2024)
Xuanlei Zhao, Shenggan Cheng, Guangyang Lu, Jiarui Fang, Haotian Zhou, Bin Jia, Ziming Liu, Yang You
AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference. CoRR (2024)
Peiran Dong, Song Guo, Junxiao Wang, Bingjie Wang, Jiewei Zhang, Ziming Liu
Towards Test-Time Refusals via Concept Negation. NeurIPS (2023)
Eric J. Michaud, Ziming Liu, Uzay Girit, Max Tegmark
The Quantization Model of Neural Scaling. NeurIPS (2023)
Isaac Liao, Ziming Liu, Max Tegmark
Generating Interpretable Networks using Hypernetworks. CoRR (2023)
Nardi Utomo, Boon Chiat Terence Teo, Xian Yang Lim, Venkadasamy Navaneethan, Ziming Liu, Chong Boon Tan, Liter Siek
An 85.1% Peak Efficiency, Low Power Class H Audio Amplifier With Full Class H Operation. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (12) (2023)
Ziming Liu, Eric Gan, Max Tegmark
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability. CoRR (2023)
Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CVPR (2023)
Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models. CoRR (2023)
Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You
Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. CoRR (2023)
Ziming Liu, Patrick Obin Sturm, Saketh Bharadwaj, Sam Silva, Max Tegmark
Discovering New Interpretable Conservation Laws as Sparse Invariants. CoRR (2023)
Ziming Liu, Rui Hu, Xiaojun Bi
The effects of social media addiction on reading practice: a survey of undergraduate students in China. J. Documentation 79 (3) (2023)
Ziming Liu, Jingcai Guo, Xiaocheng Lu, Song Guo, Peiran Dong, Jiewei Zhang
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning. CoRR (2023)
Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. 34 (5) (2023)
Ziming Liu, Max Tegmark
A Neural Scaling Law from Lottery Ticket Ensembling. CoRR (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Ziming Liu, Ziqian Zhong, Max Tegmark
Grokking as Compression: A Nonlinear Complexity Perspective. CoRR (2023)
Shenggan Cheng, Ziming Liu, Jiangsu Du, Yang You
ATP: Adaptive Tensor Parallelism for Foundation Models. CoRR (2023)
Qian Zhao, Jun Shu, Xiang Yuan, Ziming Liu, Deyu Meng
A Probabilistic Formulation for Meta-Weight-Net. IEEE Trans. Neural Networks Learn. Syst. 34 (3) (2023)
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
Anchor Sampling for Federated Learning with Partial Client Participation. ICML (2023)
Ziming Liu, Wang Ling Goh, Liter Siek, Yuan Gao
Load Current Dynamic Range for Wearable Biomedical Devices. BioCAS (2023)
Ziming Liu, Di Luo, Yilun Xu, Tommi S. Jaakkola, Max Tegmark
GenPhys: From Physical Processes to Generative Models. CoRR (2023)
Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo
Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and Semantic Attention. IEEE Trans. Multim. 25 (2023)
Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. CoRR (2023)
Ziming Liu, Muskan Garg, Sunyang Fu, Surjodeep Sarkar, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn
Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis. BIBM (2023)
Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks. CoRR (2023)
Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi S. Jaakkola
Restart Sampling for Improving Generative Processes. NeurIPS (2023)
Eric J. Michaud, Ziming Liu, Max Tegmark
Precision Machine Learning. Entropy 25 (1) (2023)
Ziming Liu, Ezio Malis, Philippe Martinet
Multi-Masks Generation for Increasing Robustness of Dense Direct Methods. ITSC (2023)
Guangyu Gao, Ziming Liu, Guangjun Zhang, Jinyang Li, A. Kai Qin
DANet: Semi-supervised differentiated auxiliaries guided network for video action recognition. Neural Networks 158 (2023)
Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi S. Jaakkola
Restart Sampling for Improving Generative Processes. CoRR (2023)
Ziming Liu, Eric J. Michaud, Max Tegmark
Omnigrok: Grokking Beyond Algorithmic Data. ICLR (2023)
Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks. NeurIPS (2023)
Eric J. Michaud, Ziming Liu, Uzay Girit, Max Tegmark
The Quantization Model of Neural Scaling. CoRR (2023)
Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You
Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. SC (2023)
Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo, Fushuo Huo, Sikai Bai, Tao Han
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning. CoRR (2023)
Ziming Liu, Mikail Khona, Ila R. Fiete, Max Tegmark
Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks. CoRR (2023)
Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models. ICML (2023)
Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo
(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning. CVPR (2023)
Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. AAAI (2023)
Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention. CoRR (2022)
Yilun Xu, Ziming Liu, Max Tegmark, Tommi S. Jaakkola
Poisson Flow Generative Models. NeurIPS (2022)
Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CoRR (2022)
Thierry Sans, Ziming Liu, Kevin Oh
A Decentralized Mnemonic Backup System for Non-custodial Cryptocurrency Wallets. FPS (2022)
Eric J. Michaud, Ziming Liu, Max Tegmark
Precision Machine Learning. CoRR (2022)
Ziming Liu, Andrew M. Stuart, Yixuan Wang
Second Order Ensemble Langevin Method for Sampling and Inverse Problems. CoRR (2022)
Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams
Towards Understanding Grokking: An Effective Theory of Representation Learning. NeurIPS (2022)
Ziming Liu, Varun Madhavan, Max Tegmark
AI Poincaré 2.0: Machine Learning Conservation Laws from Differential Equations. CoRR (2022)
Jiangsu Du, Ziming Liu, Jiarui Fang, Shenggui Li, Yongbin Li, Yutong Lu, Yang You
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models. CoRR (2022)
Ziming Liu, Yang Xu, Cheng Zhang, Haroon Elahi, Xiaokang Zhou
A blockchain-based trustworthy collaborative power trading scheme for 5G-enabled social internet of vehicles. Digit. Commun. Networks 8 (6) (2022)
Ziming Liu, Eric J. Michaud, Max Tegmark
Omnigrok: Grokking Beyond Algorithmic Data. CoRR (2022)
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. CoRR (2022)
Ziming Liu, Ezio Malis, Philippe Martinet
A New Dense Hybrid Stereo Visual Odometry Approach. IROS (2022)
Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network. CoRR (2022)
Yang Xu, Ziming Liu, Cheng Zhang, Ju Ren, Yaoxue Zhang, Xuemin Shen
Blockchain-Based Trustworthy Energy Dispatching Approach for High Renewable Energy Penetrated Power Systems. IEEE Internet Things J. 9 (12) (2022)
Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams
Towards Understanding Grokking: An Effective Theory of Representation Learning. CoRR (2022)
Ziming Liu, Parker N. Collier, Robert Bray, Eun Jin Paek, Devin Casenhiser, Wenjun Zhou, Xiaopeng Zhao
Estimating Human Attitude during Robot-mediated Referential Communication Tasks. CHASE (2022)
Fushuo Huo, Xuegui Zhu, Qian Zhang, Ziming Liu, Wenchao Yu
Real-Time One-Stream Semantic-Guided Refinement Network for RGB-Thermal Salient Object Detection. IEEE Trans. Instrum. Meas. 71 (2022)
Ziming Liu
Reading in the age of digital distraction. J. Documentation 78 (6) (2022)
Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment. IEEE Trans. Parallel Distributed Syst. 33 (1) (2022)
Ziming Liu, Yigang Qin, Huiqi Zou, Eun Jin Paek, Devin Casenhiser, Wenjun Zhou, Xiaopeng Zhao
Generating Natural Language Responses in Robot-Mediated Referential Communication Tasks to Simulate Theory of Mind. ICSR (1) (2022)
Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu
ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning. CoRR (2022)
Yilun Xu, Ziming Liu, Max Tegmark, Tommi S. Jaakkola
Poisson Flow Generative Models. CoRR (2022)
Nardi Utomo, Boon Chiat Terence Teo, Xian Yang Lim, Venkadasamy Navaneethan, Ziming Liu, Chong Boon Tan, Yun Da Bryan Seah, Ying Hung Yvonne Lam, Liter Siek
Low Voltage Low Power Output Programmable OCL-LDO with Embedded Voltage Reference. ISCAS (2021)
Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. CoRR (2021)
Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu
Machine-Learning Non-Conservative Dynamics for New-Physics Detection. CoRR (2021)
Ziming Liu, Lauren Proctor, Parker N. Collier, Xiaopeng Zhao
Automatic Diagnosis and Prediction of Cognitive Decline Associated with Alzheimer's Dementia through Spontaneous Speech. ICSIPA (2021)
Benjamin Sweely, Ziming Liu, Tami Wyatt, Katherine Newnam, Hairong Qi, Xiaopeng Zhao
Camera-Based Remote Photoplethysmography for Physiological Monitoring in Neonatal Intensive Care. ICSIPA (2021)
Jinwu Wang, Changsu Xu, Yanan Xu, Xin Qi, Ziming Liu, Han Tang
Vibration Analysis and Parameter Optimization of the Longitudinal Axial Flow Threshing Cylinder. Symmetry 13 (4) (2021)
Teo Boon Chiat Terence, Venkadasamy Navaneethan, Lim Xian Yang, Nardi Utomo, Ziming Liu, Tan Chong Boon, Seah Yun Da Bryan, Ji-Jon Sit, Liter Siek
A RF-DC Rectifier with Dual Voltage Polarity Self-Biasing for Wireless Sensor Node Application. ISCAS (2021)
Hongwei Ban, Dazhi Wang, Sihan Wang, Ziming Liu
Multilocation and Multiscale Learning Framework with Skip Connection for Fault Diagnosis of Bearing under Complex Working Conditions. Sensors 21 (9) (2021)
Ziming Liu, Guangyu Gao, Lin Sun, Zhiyuan Fang
HRDNet: High-Resolution Detection Network for Small Objects. ICME (2021)
Fengpei Yuan, Elizabeth Klavon, Ziming Liu, Ruth Palan Lopez, Xiaopeng Zhao
A Systematic Review of Robotic Rehabilitation for Cognitive Training. Frontiers Robotics AI 8 (2021)
Ziming Liu, Max Tegmark
Machine-learning hidden symmetries. CoRR (2021)
Ziming Liu, Yunyue Chen, Yuanqi Du, Max Tegmark
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning. CoRR (2021)
Ziming Liu, Jeremy Shore, Miao Wang, Fengpei Yuan, Aaron Buss, Xiaopeng Zhao
A systematic review on hybrid EEG/fNIRS in brain-computer interface. Biomed. Signal Process. Control. 68 (2021)
James A. Davis, J. J. Hoo, Connor Kissane, Ziming Liu, Calvin Reedy, Kartikey Sharma, Ken Smith, Yiwei Sun
Abelian difference sets with the symmetric difference property. Des. Codes Cryptogr. 89 (3) (2021)
Ziming Liu, Parker N. Collier, Charles Wang, Eun Jin Paek, Si On Yoon, Devin Casenhiser, Xiaopeng Zhao
A Demonstration of Human-Robot Communication Based on Multiskilled Language-Image Analysis. CHASE (2021)
Saifei Wu, Jie Li, Lin Qi, Ziming Liu, Xinbo Gao
Remote Sensing Imagery Scene Classification Based on Spiking Neural Network. IGARSS (2021)
Zhichao Yuan, Ziming Liu, Chunbo Zhu, Jing Qi, Danpei Zhao
Object Detection in Remote Sensing Images via Multi-Feature Pyramid Network with Receptive Field Block. Remote. Sens. 13 (5) (2021)
Ziming Liu, Guangyu Gao, Lin Sun, Zhiyuan Fang
HRDNet: High-resolution Detection Network for Small Objects. CoRR (2020)
Ziming Liu, Max Tegmark
AI Poincaré: Machine Learning Conservation Laws from Trajectories. CoRR (2020)
Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joochan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) (2020)
Ziming Liu, Guangyu Gao, Lin Sun, Li Fang
IPG-Net: Image Pyramid Guidance Network for Small Object Detection. CVPR Workshops (2020)
Yinan Mao, Ziqiang Chen, Hongkun Dou, Danpei Zhao, Ziming Liu
Multi-Scale Remote Sensing Targets Detection with Rotated Feature Pyramid. IGARSS (2020)
Ziming Liu, Jinyang Li, Guangyu Gao, Alex Kai Qin
Temporal Memory Network Towards Real-Time Video Understanding. IEEE Access 8 (2020)
Ziming Liu, Dazhi Wang, Jiaxing Wang, Xinghua Wang, Hao Li
A Blockchain-Enabled Secure Power Trading Mechanism for Smart Grid Employing Wireless Networks. IEEE Access 8 (2020)
Ziming Liu, Sitian Qian, Yixuan Wang, Yuxuan Yan, Tianyi Yang
Schrödinger PCA: You Only Need Variances for Eigenmodes. CoRR (2020)
Chunbo Zhu, Danpei Zhao, Ziming Liu, Yinan Mao
Hierarchical Attention for Ship Detection in SAR Images. IGARSS (2020)
Zhipeng Zhang, Wenhui Shou, Dongjia Xing, Wenting Ma, Qingqing Xu, Wei Wang, Li-Qun Xu, Ziming Liu, Ling Xu
Automated Cataracts Screening from Slit-Lamp Images Employing Deep Learning. IoTaaS (2020)
Ziming Liu, Guangyu Gao, A. Kai Qin, Jinyang Li
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition. CoRR (2020)
Pengfei Zhu, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bing Dong, Dheeraj Reddy Pailla, Feng Ni, Guangyu Gao, Guizhong Liu, Haitao Xiong, Dawei Du, Jing Ge, Jingkai Zhou, Jinrong Hu, Lin Sun, Long Chen, Martin Lauer, Qiong Liu, Sai Saketh Chennamsetty, Ting Sun, Tong Wu, Longyin Wen, Varghese Alex Kollerathu, Wei Tian, Weida Qin, Xier Chen, Xingjie Zhao, Yanchao Lian, Yinan Wu, Ying Li, Yingping Li, Yiwen Wang, Xiao Bian, Yuduo Song, Yuehan Yao, Yunfeng Zhang, Zhaoliang Pi, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhipeng Luo, Ziming Liu, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang
VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results. ICCV Workshops (2019)
Ziming Liu, Guangyu Gao, A. Kai Qin, Tong Wu, Chi Harold Liu
Action Recognition with Bootstrapping based Long-range Temporal Context Attention. ACM Multimedia (2019)
Ziming Liu, Xiaobo Liu
Multi-PCA based Fault Detection Model Combined with Prior knowledge of HVAC. CoRR (2019)
Ziming Liu, Zheng Zhang
Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling. CoRR (2019)
Ziming Liu, Yixuan Wang, Zizhao Han, Dian Wu
Influenza Modeling Based on Massive Feature Engineering and International Flow Deconvolution. CoRR (2019)
Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Lin, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results. ICCV Workshops (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ziming Liu