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2020 – today
- 2024
[j40]Jiafei Lyu
, Le Wan, Xiu Li, Zongqing Lu:
Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse. Inf. Sci. 666: 120371 (2024)- [j39]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. J. Artif. Intell. Res. 81: 1-42 (2024) - [j38]Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang:
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2804-2818 (2024) - [j37]Weiming Luo, Zongqing Lu, Qingmin Liao:
LNMVSNet: A Low-Noise Multi-View Stereo Depth Inference Method for 3D Reconstruction. Sensors 24(8): 2400 (2024) - [j36]Shumin An, Qingmin Liao, Zongqing Lu, Jing-Hao Xue:
Dual Correlation Network for Efficient Video Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1572-1585 (2024) - [j35]Kefan Su, Zongqing Lu:
A Fully Decentralized Surrogate for Multi-Agent Policy Optimization. Trans. Mach. Learn. Res. 2024 (2024) - [c112]Yicheng Feng, Boshi An, Zongqing Lu:
Learning Multi-Object Positional Relationships via Emergent Communication. AAAI 2024: 17371-17379 - [c111]Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. AAAI 2024: 17444-17452 - [c110]Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu:
Language Model Adaption for Reinforcement Learning with Natural Language Action Space. ACL (1) 2024: 1620-1634 - [c109]Kefan Su, Siyuan Zhou, Jiechuan Jiang, Chuang Gan, Xiangjun Wang, Zongqing Lu:
Multi-Agent Alternate Q-Learning. AAMAS 2024: 1791-1799 - [c108]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning. AAMAS 2024: 2369-2371 - [c107]Xin Yue, Zongqing Lu, Xiangru Lin, Wenjia Ren, Zhijing Shao, Haonan Hu, Yu Zhang, Qingmin Liao:
Semi-Stereo: A Universal Stereo Matching Framework for Imperfect Data via Semi-supervised Learning. CVPR Workshops 2024: 646-655 - [c106]Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, Zongqing Lu:
Reinforcement Learning Friendly Vision-Language Model for Minecraft. ECCV (68) 2024: 1-17 - [c105]Haobin Jiang, Zongqing Lu:
Visual Grounding for Object-Level Generalization in Reinforcement Learning. ECCV (30) 2024: 55-72 - [c104]Hao Luo, Bohan Zhou, Zongqing Lu:
Pre-trained Visual Dynamics Representations for Efficient Policy Learning. ECCV (81) 2024: 249-267 - [c103]Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu:
UniCode: Learning a Unified Codebook for Multimodal Large Language Models. ECCV (8) 2024: 426-443 - [c102]Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang:
LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. EMNLP (Findings) 2024: 12806-12816 - [c101]Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Li Xiu, Zongqing Lu:
SEABO: A Simple Search-Based Method for Offline Imitation Learning. ICLR 2024 - [c100]Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu:
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning. ICLR 2024 - [c99]Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu:
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. ICLR 2024 - [c98]Yujiao Jiang, Qingmin Liao, Zhaolong Wang, Xiangru Lin, Zongqing Lu, Yuxi Zhao, Hanqing Wei, Jingrui Ye, Yu Zhang, Zhijing Shao:
SMPLX-Lite: A Realistic and Drivable Avatar Benchmark with Rich Geometry and Texture Annotations. ICME 2024: 1-6 - [c97]Yige Wang, Risheng Huang, Haozhi Huang, Zongqing Lu:
FusionDreamer: Consistent Images Generation from Sparse-view Images. ICME 2024: 1-6 - [c96]Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu:
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. ICML 2024 - [c95]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. ICML 2024 - [c94]Li Dinghang, Zongqing Lu, Weiliang Zheng, Qingmin Liao, Fan Lyu:
MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation. IJCNN 2024: 1-8 - [c93]Zhou Jiale, Wenqin Huang, Qingmin Liao, Zongqing Lu, Xiaoqian Liu:
Multi-Dimensional Attention on Cost Volume for Stereo Matching. IJCNN 2024: 1-8 - [c92]Huiqing Su, Wenqin Huang, Qingmin Liao, Zongqing Lu:
Cross-Patch Relation Enhanced for Weakly Supervised Semantic Segmentation. IJCNN 2024: 1-8 - [c91]Wanpeng Zhang, Zongqing Lu:
AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback. NAACL-HLT (Findings) 2024: 782-799 - [c90]Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, Zongqing Lu:
LLaMA-Rider: Spurring Large Language Models to Explore the Open World. NAACL-HLT (Findings) 2024: 4705-4724 - [i78]Jiechuan Jiang, Kefan Su, Zongqing Lu:
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey. CoRR abs/2401.04934 (2024) - [i77]Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. CoRR abs/2402.02097 (2024) - [i76]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. CoRR abs/2402.02701 (2024) - [i75]Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu:
SEABO: A Simple Search-Based Method for Offline Imitation Learning. CoRR abs/2402.03807 (2024) - [i74]Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia:
RL-GPT: Integrating Reinforcement Learning and Code-as-policy. CoRR abs/2402.19299 (2024) - [i73]Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu:
Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. CoRR abs/2403.03186 (2024) - [i72]Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu:
UniCode: Learning a Unified Codebook for Multimodal Large Language Models. CoRR abs/2403.09072 (2024) - [i71]Yujiao Jiang, Qingmin Liao, Xiaoyu Li, Li Ma, Qi Zhang, Chaopeng Zhang, Zongqing Lu, Ying Shan:
UV Gaussians: Joint Learning of Mesh Deformation and Gaussian Textures for Human Avatar Modeling. CoRR abs/2403.11589 (2024) - [i70]Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian:
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. CoRR abs/2404.00886 (2024) - [i69]Jingrui Ye, Zongkai Zhang, Yujiao Jiang, Qingmin Liao, Wenming Yang, Zongqing Lu:
OccGaussian: 3D Gaussian Splatting for Occluded Human Rendering. CoRR abs/2404.08449 (2024) - [i68]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. CoRR abs/2405.15369 (2024) - [i67]Yujiao Jiang, Qingmin Liao, Zhaolong Wang, Xiangru Lin, Zongqing Lu, Yuxi Zhao, Hanqing Wei, Jingrui Ye, Yu Zhang, Zhijing Shao:
SMPLX-Lite: A Realistic and Drivable Avatar Benchmark with Rich Geometry and Texture Annotations. CoRR abs/2405.19609 (2024) - [i66]Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang:
Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. CoRR abs/2407.01491 (2024) - [i65]Bohan Zhou, Jiangxing Wang, Zongqing Lu:
NOLO: Navigate Only Look Once. CoRR abs/2408.01384 (2024) - [i64]Haobin Jiang, Zongqing Lu:
Visual Grounding for Object-Level Generalization in Reinforcement Learning. CoRR abs/2408.01942 (2024) - [i63]Zhirui Fang, Ming Yang, Weishuai Zeng, Boyu Li, Junpeng Yue, Ziluo Ding, Xiu Li, Zongqing Lu:
Egocentric Vision Language Planning. CoRR abs/2408.05802 (2024) - [i62]Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu:
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. CoRR abs/2410.02155 (2024) - [i61]Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu:
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping. CoRR abs/2410.02475 (2024) - [i60]Bohan Zhou, Haoqi Yuan, Yuhui Fu, Zongqing Lu:
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations. CoRR abs/2410.02477 (2024) - [i59]Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu:
Cross-Embodiment Dexterous Grasping with Reinforcement Learning. CoRR abs/2410.02479 (2024) - [i58]Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu:
SELU: Self-Learning Embodied MLLMs in Unknown Environments. CoRR abs/2410.03303 (2024) - [i57]Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Qin Jin, Zongqing Lu:
Quo Vadis, Motion Generation? From Large Language Models to Large Motion Models. CoRR abs/2410.03311 (2024) - [i56]Junpeng Yue, Xinrun Xu, Börje F. Karlsson, Zongqing Lu:
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents. CoRR abs/2410.03450 (2024) - [i55]Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li:
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. CoRR abs/2410.20750 (2024) - [i54]Hao Luo, Bohan Zhou, Zongqing Lu:
Pre-trained Visual Dynamics Representations for Efficient Policy Learning. CoRR abs/2411.03169 (2024) - [i53]Yicheng Feng, Yijiang Li, Wanpeng Zhang, Sipeng Zheng, Zongqing Lu:
VideoOrion: Tokenizing Object Dynamics in Videos. CoRR abs/2411.16156 (2024) - [i52]Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng:
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games. CoRR abs/2412.10798 (2024) - [i51]Wenye Lin, Jonathan Roberts, Yunhan Yang, Samuel Albanie, Zongqing Lu, Kai Han:
Beyond Outcomes: Transparent Assessment of LLM Reasoning in Games. CoRR abs/2412.13602 (2024) - 2023
- [j34]Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian:
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. IEEE Trans. Knowl. Data Eng. 35(11): 11570-11584 (2023) - [j33]Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye:
A Survey on Transformers in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j32]Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. IEEE Trans. Multim. 25: 4361-4373 (2023) - [c89]Jiechuan Jiang, Zongqing Lu:
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. AAAI 2023: 8050-8059 - [c88]Yicheng Feng, Zongqing Lu:
Multi-Agent Language Learning: Symbolic Mapping. ACL (Findings) 2023: 7756-7770 - [c87]Jiechuan Jiang, Zongqing Lu:
Adaptive Learning Rates for Multi-Agent Reinforcement Learning. AAMAS 2023: 23-30 - [c86]Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu:
Multi-Agent Automated Machine Learning. CVPR 2023: 11960-11969 - [c85]Jiechuan Jiang, Zongqing Lu:
Offline Decentralized Multi-Agent Reinforcement Learning. ECAI 2023: 1148-1155 - [c84]Kai Tian, Mengze Pan, Zongqing Lu, Qingmin Liao:
Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer. ICANN (6) 2023: 576-587 - [c83]Jun Hoong Chan, Bohan Yu, Heng Guo, Jieji Ren, Zongqing Lu, Boxin Shi:
ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo. ICCV 2023: 9133-9141 - [c82]Jiawei Xu, Zongqing Lu, Qingmin Liao:
LLA-Flow: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation. ICIP 2023: 3220-3224 - [c81]Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li:
State Advantage Weighting for Offline RL. Tiny Papers @ ICLR 2023 - [c80]Jiangxing Wang, Deheng Ye, Zongqing Lu:
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. ICLR 2023 - [c79]Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu:
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. ICML 2023: 8103-8119 - [c78]Wenjia Ren, Qingmin Liao, Zhijing Shao, Xiangru Lin, Xin Yue, Yu Zhang, Zongqing Lu:
Patchmatch Stereo++: Patchmatch Binocular Stereo with Continuous Disparity Optimization. ACM Multimedia 2023: 2315-2325 - [c77]Jiangxing Wang, Deheng Ye, Zongqing Lu:
Mutual-Information Regularized Multi-Agent Policy Iteration. NeurIPS 2023 - [c76]Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu:
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. NeurIPS 2023 - [i50]Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye:
A Survey on Transformers in Reinforcement Learning. CoRR abs/2301.03044 (2023) - [i49]Jiechuan Jiang, Zongqing Lu:
Best Possible Q-Learning. CoRR abs/2302.01188 (2023) - [i48]Yicheng Feng, Boshi An, Zongqing Lu:
Learning Multi-Object Positional Relationships via Emergent Communication. CoRR abs/2302.08084 (2023) - [i47]Hao Luo, Jiechuan Jiang, Zongqing Lu:
Model-Based Decentralized Policy Optimization. CoRR abs/2302.08139 (2023) - [i46]Ziluo Ding, Hao Luo, Ke Li, Junpeng Yue, Tiejun Huang, Zongqing Lu:
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft. CoRR abs/2303.10571 (2023) - [i45]Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu:
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks. CoRR abs/2303.16563 (2023) - [i44]Jiawei Xu, Zongqing Lu, Qingmin Liao:
LLA-FLOW: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation. CoRR abs/2304.08101 (2023) - [i43]Jiafei Lyu, Le Wan, Zongqing Lu, Xiu Li:
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse. CoRR abs/2305.18443 (2023) - [i42]Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu:
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. CoRR abs/2306.02747 (2023) - [i41]Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu:
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. CoRR abs/2306.12860 (2023) - [i40]Qinpeng Cui, Xinyi Zhang, Zongqing Lu, Qingmin Liao:
Elucidating the solution space of extended reverse-time SDE for diffusion models. CoRR abs/2309.06169 (2023) - [i39]Wanpeng Zhang, Zongqing Lu:
RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds. CoRR abs/2309.17176 (2023) - [i38]Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, Zongqing Lu:
LLaMA Rider: Spurring Large Language Models to Explore the Open World. CoRR abs/2310.08922 (2023) - [i37]Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu:
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. CoRR abs/2310.13255 (2023) - [i36]Chi Zhang, Penglin Cai, Yuhui Fu, Haoqi Yuan, Zongqing Lu:
Creative Agents: Empowering Agents with Imagination for Creative Tasks. CoRR abs/2312.02519 (2023) - 2022
- [j31]Yibo Lin, Tong Qu, Zongqing Lu, Yajuan Su, Yayi Wei:
Asynchronous Reinforcement Learning Framework and Knowledge Transfer for Net-Order Exploration in Detailed Routing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 3132-3142 (2022) - [j30]Youcheng Zhang, Zongqing Lu, Xuechen Zhang, Jing-Hao Xue, Qingmin Liao:
Deep Learning in Lane Marking Detection: A Survey. IEEE Trans. Intell. Transp. Syst. 23(7): 5976-5992 (2022) - [j29]Shumin An, Qingmin Liao, Zongqing Lu, Jing-Hao Xue:
Efficient Semantic Segmentation via Self-Attention and Self-Distillation. IEEE Trans. Intell. Transp. Syst. 23(9): 15256-15266 (2022) - [c75]Yueheng Li, Guangming Xie, Zongqing Lu:
Difference Advantage Estimation for Multi-Agent Policy Gradients. ICML 2022: 13066-13085 - [c74]Kefan Su, Zongqing Lu:
Divergence-Regularized Multi-Agent Actor-Critic. ICML 2022: 20580-20603 - [c73]Haoqi Yuan, Zongqing Lu:
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning. ICML 2022: 25747-25759 - [c72]Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang:
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS 2022 - [c71]Jiechuan Jiang, Zongqing Lu:
I2Q: A Fully Decentralized Q-Learning Algorithm. NeurIPS 2022 - [c70]Jiafei Lyu, Xiu Li, Zongqing Lu:
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. NeurIPS 2022 - [c69]Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu:
Mildly Conservative Q-Learning for Offline Reinforcement Learning. NeurIPS 2022 - [c68]Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu:
Learning to Share in Networked Multi-Agent Reinforcement Learning. NeurIPS 2022 - [c67]Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu:
Model-Based Opponent Modeling. NeurIPS 2022 - [i35]Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu:
Mildly Conservative Q-Learning for Offline Reinforcement Learning. CoRR abs/2206.04745 (2022) - [i34]Jiafei Lyu, Xiu Li, Zongqing Lu:
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. CoRR abs/2206.07989 (2022) - [i33]Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu:
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR abs/2206.08686 (2022) - [i32]Haoqi Yuan, Zongqing Lu:
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning. CoRR abs/2206.10442 (2022) - [i31]Kefan Su, Siyuan Zhou, Chuang Gan, Xiangjun Wang, Zongqing Lu:
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning. CoRR abs/2209.08244 (2022) - [i30]Jiangxing Wang, Deheng Ye, Zongqing Lu:
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. CoRR abs/2209.12681 (2022) - [i29]Ziluo Ding, Kefan Su, Weixin Hong, Liwen Zhu, Tiejun Huang, Zongqing Lu:
Multi-Agent Sequential Decision-Making via Communication. CoRR abs/2209.12713 (2022) - [i28]Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li:
State Advantage Weighting for Offline RL. CoRR abs/2210.04251 (2022) - [i27]Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu:
Multi-Agent Automated Machine Learning. CoRR abs/2210.09084 (2022) - [i26]Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu:
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. CoRR abs/2210.13942 (2022) - [i25]Kefan Su, Zongqing Lu:
Decentralized Policy Optimization. CoRR abs/2211.03032 (2022) - 2021
- [j28]Fidan Mehmeti, Noor Felemban, Zongqing Lu, Kristina Wheatman, Gregory H. Cirincione, Thomas F. La Porta:
Quality of Information in Gathering Information via Video Analytics for Military Networks. IEEE Commun. Mag. 59(2): 50-55 (2021) - [j27]Jing-Hao Xue, Jufeng Yang, Xiaoxu Li, Yan Yan, Yujiu Yang, Zongqing Lu, Zhanyu Ma:
Guest Editorial: Special issue on deep learning with small samples. Neurocomputing 456: 461-462 (2021) - [j26]Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. IEEE Trans. Biomed. Eng. 68(6): 1787-1798 (2021) - [j25]Youcheng Zhang, Zongqing Lu, Dongdong Ma, Jing-Hao Xue, Qingmin Liao:
Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN. IEEE Trans. Intell. Transp. Syst. 22(3): 1532-1542 (2021) - [j24]Zongqing Lu, Swati Rallapalli, Kevin Chan, Shiliang Pu, Thomas La Porta:
Augur: Modeling the Resource Requirements of ConvNets on Mobile Devices. IEEE Trans. Mob. Comput. 20(2): 352-365 (2021) - [j23]Noor Felemban, Fidan Mehmeti, Hana Khamfroush, Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
PicSys: Energy-Efficient Fast Image Search on Distributed Mobile Networks. IEEE Trans. Mob. Comput. 20(4): 1574-1589 (2021) - [c66]Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu:
Hierarchically and Cooperatively Learning Traffic Signal Control. AAAI 2021: 669-677 - [c65]Xile Shen, Zongqing Lu, Youcheng Zhang, Jing-Hao Xue:
Lane Line Detection based on Parallel Spatial Separation Convolution. BMVC 2021: 114 - [c64]Tong Qu, Yibo Lin, Zongqing Lu, Yajuan Su, Yayi Wei:
Asynchronous Reinforcement Learning Framework for Net Order Exploration in Detailed Routing. DATE 2021: 1815-1820 - [c63]Hui Deng, Qingmin Liao, Zongqing Lu, Jing-Hao Xue:
Parallax Contextual Representations For Stereo Matching. ICIP 2021: 3193-3197 - [c62]Kai Lv, Zongqing Lu, Qingmin Liao:
A Region-Based Descriptor Network for Uniformly Sampled Keypoints. ICIP 2021: 3278-3282 - [c61]Xuanyu Xiao, Zongqing Lu, Jing-Hao Xue:
CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation. ICIP 2021: 3283-3287 - [c60]Lei Chen, Zongqing Lu, Qingmin Liao, Haoyu Ma, Jing-Hao Xue:
Disparity Estimation with Scene Depth Cues. ICME 2021: 1-6 - [c59]Lei Chen, Zongqing Lu, Qingmin Liao, Jing-Hao Xue:
Better Stereo Matching From Simple Yet Effective Wrangling of Deep Features. ICME 2021: 1-6 - [c58]Jiechuan Jiang, Zongqing Lu:
The Emergence of Individuality. ICML 2021: 4992-5001 - [c57]Tianhao Zhang, Yueheng Li, Chen Wang, Guangming Xie, Zongqing Lu:
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning. ICML 2021: 12491-12500 - [c56]Chengcheng Zhou, Zongqing Lu, Linge Li, Qiangyu Yan, Jing-Hao Xue:
How Video Super-Resolution and Frame Interpolation Mutually Benefit. ACM Multimedia 2021: 5445-5453 - [c55]Leyang Xu, Zongqing Lu:
ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow. PRCV (1) 2021: 429-442 - [i24]Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian:
Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. CoRR abs/2101.00746 (2021) - [i23]Ang A. Li, Zongqing Lu, Chenglin Miao:
Revisiting Prioritized Experience Replay: A Value Perspective. CoRR abs/2102.03261 (2021) - [i22]Kai Lv, Zongqing Lu, Qingmin Liao:
A region-based descriptor network for uniformly sampled keypoints. CoRR abs/2103.01780 (2021) - [i21]Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes. CoRR abs/2104.09216 (2021) - [i20]Yifan Yu, Haobin Jiang, Zongqing Lu:
Informative Policy Representations in Multi-Agent Reinforcement Learning via Joint-Action Distributions. CoRR abs/2106.05802 (2021) - [i19]Jiechuan Jiang, Zongqing Lu:
Offline Decentralized Multi-Agent Reinforcement Learning. CoRR abs/2108.01832 (2021) - [i18]Xiaopeng Yu, Jiechuan Jiang, Haobin Jiang, Zongqing Lu:
Model-Based Opponent Modeling. CoRR abs/2108.01843 (2021) - [i17]Kefan Su, Zongqing Lu:
Divergence-Regularized Multi-Agent Actor-Critic. CoRR abs/2110.00304 (2021) - [i16]Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. CoRR abs/2111.12263 (2021) - [i15]Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu:
Learning to Share in Multi-Agent Reinforcement Learning. CoRR abs/2112.08702 (2021) - 2020
- [j22]Liping Zhang, Zongqing Lu, Qingmin Liao:
OFR-Net: Optical Flow Refinement with a Pyramid Dense Residual Network. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(11): 1312-1318 (2020) - [j21]Zongqing Lu, Kevin Chan, Rahul Urgaonkar, Shiliang Pu, Thomas La Porta:
NetVision: On-Demand Video Processing in Wireless Networks. IEEE/ACM Trans. Netw. 28(1): 196-209 (2020) - [c54]Jiechuan Jiang, Zongqing Lu:
Generative Exploration and Exploitation. AAAI 2020: 4337-4344 - [c53]Wenrui Liu, Zongqing Lu, He Xu:
Auxiliary Edge Detection for Semantic Image Segmentation. ICCAI 2020: 182-187 - [c52]Liping Zhang, Zongqing Lu:
Optical Flow Estimation Using a Non-Local Convolutional Network. ICCAI 2020: 407-411 - [c51]Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao:
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. ICIP 2020: 2780-2784 - [c50]Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu:
Graph Convolutional Reinforcement Learning. ICLR 2020 - [c49]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. NeurIPS 2020 - [i14]Jiarong Chen, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
XSepConv: Extremely Separated Convolution. CoRR abs/2002.12046 (2020) - [i13]Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao:
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. CoRR abs/2005.08806 (2020) - [i12]Jiechuan Jiang, Zongqing Lu:
The Emergence of Individuality in Multi-Agent Reinforcement Learning. CoRR abs/2006.05842 (2020) - [i11]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. CoRR abs/2006.06455 (2020)
2010 – 2019
- 2019
- [j20]Zongqing Lu, Kevin S. Chan, Shiliang Pu, Thomas La Porta:
CrowdVision: A Computing Platform for Video Crowdprocessing Using Deep Learning. IEEE Trans. Mob. Comput. 18(7): 1513-1526 (2019) - [c48]Dongdong Ma, Zongqing Lu, Youcheng Zhang, Qingmin Liao, Hui Ma:
Exploring Discriminative Features in Mueller Matrix Images for Electrospinning Classification. ICIP 2019: 225-229 - [c47]Jialu Wang, Zongqing Lu, Qingmin Liao:
Estimating Human Shape Under Clothing from Single Frontal View Point Cloud of a Dressed Human. ICIP 2019: 330-334 - [c46]Bin Yuan, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
A New Approach to Automatic Clothing Matting from Mannequins. ICME 2019: 880-885 - [c45]Zhengyang Sun, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
A New Object Scene Flow Algorithm Based on Support Points Selection and Robust Moving Object Proposal. ICME 2019: 1570-1575 - [c44]Yachi Zhang, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
A New Rotation-Invariant Deep Network for 3D Object Recognition. ICME 2019: 1606-1611 - [c43]Jiechuan Jiang, Zongqing Lu:
Learning Fairness in Multi-Agent Systems. NeurIPS 2019: 13854-13865 - [c42]Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen:
Heterogeneous Transfer Learning for Thermal Comfort Modeling. BuildSys 2019: 61-70 - [i10]Jiechuan Jiang, Zongqing Lu:
Generative Exploration and Exploitation. CoRR abs/1904.09605 (2019) - [i9]Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. CoRR abs/1907.13177 (2019) - [i8]Jiechuan Jiang, Zongqing Lu:
Learning Fairness in Multi-Agent Systems. CoRR abs/1910.14472 (2019) - 2018
- [j19]Wanping Zhang, Zhen Xu, Yichuan Wang, Zongqing Lu, Weifeng Li, Qingmin Liao:
Binarized features with discriminant manifold filters for robust single-sample face recognition. Signal Process. Image Commun. 65: 1-10 (2018) - [c41]Zongqing Lu, Kevin S. Chan, Thomas La Porta:
A Computing Platform for Video Crowdprocessing Using Deep Learning. INFOCOM 2018: 1430-1438 - [c40]Jiechuan Jiang, Zongqing Lu:
Learning Attentional Communication for Multi-Agent Cooperation. NeurIPS 2018: 7265-7275 - [i7]Jiechuan Jiang, Zongqing Lu:
Learning Attentional Communication for Multi-Agent Cooperation. CoRR abs/1805.07733 (2018) - [i6]Liping Zhang, Zongqing Lu, Qingmin Liao:
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network. CoRR abs/1809.00588 (2018) - [i5]Jiechuan Jiang, Chen Dun, Zongqing Lu:
Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation. CoRR abs/1810.09202 (2018) - 2017
- [j18]Weifeng Li, Yichuan Wang, Zhen Xu, Yinyan Jiang, Zongqing Lu, Qingmin Liao:
Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition. Neurocomputing 267: 436-446 (2017) - [j17]Zongqing Lu, Guohong Cao, Thomas La Porta:
TeamPhone: Networking SmartPhones for Disaster Recovery. IEEE Trans. Mob. Comput. 16(12): 3554-3567 (2017) - [j16]Zongqing Lu, Xiao Sun, Thomas La Porta:
Cooperative Data Offload in Opportunistic Networks: From Mobile Devices to Infrastructure. IEEE/ACM Trans. Netw. 25(6): 3382-3395 (2017) - [j15]Weizhan Zhang, Yuxuan Chen, Xiang Gao, Zhichao Mo, Qinghua Zheng, Zongqing Lu:
Cluster-Aware Virtual Machine Collaborative Migration in Media Cloud. IEEE Trans. Parallel Distributed Syst. 28(10): 2808-2822 (2017) - [c39]Nan Liu, Zongqing Lu, Bokun Xu, Qingmin Liao:
Learning a convolutional neural network for sleep stage classification. CISP-BMEI 2017: 1-6 - [c38]Kai Tian, Zongqing Lu, Qingmin Liao, Na Wang:
Video saliency detection based on robust seeds generation and spatio-temporal propagation. CISP-BMEI 2017: 1-6 - [c37]Zongqing Lu, Rixi Li, Qingmin Liao:
Scale-variance pedestrian detection via an integrated system. GCCE 2017: 1-5 - [c36]Zongqing Lu, Quan Zou, Fei Zhou, Qingmin Liao:
Wavelet-based single image super-resolution with an overall enhancement procedure. ICASSP 2017: 1447-1451 - [c35]Chen Wang, Zongqing Lu, Qingmin Liao, Danyi Li:
Locality Sensitive Hashing based deepmatching for optical flow estimation. ICASSP 2017: 1472-1476 - [c34]Zongqing Lu, Bokun Xu, Nan Liu, Qingmin Liao:
Face recognition via weighted sparse representation using metric learning. ICME 2017: 391-396 - [c33]Zongqing Lu, Noor Felemban, Kevin S. Chan, Thomas La Porta:
On-demand Information Retrieval from Videos Using Deep Learning in Wireless Networks: Demo Abstract. IoTDI 2017: 279-280 - [c32]Zhen Xu, Zongqing Lu, Weifeng Li, Qingmin Liao:
Removing contaminated data for illumination-robust face recognition. IWSSIP 2017: 1-3 - [c31]Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices. ACM Multimedia 2017: 1663-1671 - [i4]Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices. CoRR abs/1709.09503 (2017) - 2016
- [j14]Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salathé, Guohong Cao:
Infectious Disease Containment Based on a Wireless Sensor System. IEEE Access 4: 1548-1559 (2016) - [j13]Zuodong Yang, Yong Wu, Wenteng Zhao, Yicong Zhou, Zongqing Lu, Weifeng Li, Qingmin Liao:
A novel illumination-robust local descriptor based on sparse linear regression. Digit. Signal Process. 48: 269-275 (2016) - [j12]Zongqing Lu, Yonggang Wen, Weizhan Zhang, Qinghua Zheng, Guohong Cao:
Towards Information Diffusion in Mobile Social Networks. IEEE Trans. Mob. Comput. 15(5): 1292-1304 (2016) - [c30]Noor Felemban, Zongqing Lu, Thomas La Porta, Kevin S. Chan:
Video processing of complex activity detection in resource-constrained networks. GlobalSIP 2016: 1345-1348 - [c29]Ben Niu, Sheng Gao, Fenghua Li, Hui Li, Zongqing Lu:
Protection of location privacy in continuous LBSs against adversaries with background information. ICNC 2016: 1-6 - [c28]Xiafei Lei, Yue Zhang, Zongqing Lu:
Deep learning feature representation for electrocardiogram identification. DSP 2016: 11-14 - [c27]Zongqing Lu, Kevin S. Chan, Rahul Urgaonkar, Thomas La Porta:
On-demand video processing in wireless networks. ICNP 2016: 1-10 - [c26]Zongqing Lu, Xiao Sun, Thomas La Porta:
Cooperative data offloading in opportunistic mobile networks. INFOCOM 2016: 1-9 - [c25]Chih-Tsung Shen, Zongqing Lu, Yi-Ping Hung, Soo-Chang Pei:
Visual enhancement using sparsity-based image decomposition for low backlight displays. ISCAS 2016: 2563-2566 - [c24]Zongqing Lu, Guohong Cao, Thomas La Porta:
Networking smartphones for disaster recovery. PerCom 2016: 1-9 - [c23]Zongqing Lu, Wenjian Zhang, Qingmin Liao:
Pedestrian detection aided by scale-discriminative network. SSCI 2016: 1-7 - [i3]Zongqing Lu, Guohong Cao, Thomas La Porta:
TeamPhone: Networking Smartphones for Disaster Recovery. CoRR abs/1606.03417 (2016) - [i2]Zongqing Lu, Xiao Sun, Thomas La Porta:
Cooperative Data Offloading in Opportunistic Mobile Networks. CoRR abs/1606.03493 (2016) - 2015
- [j11]Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao, Thomas La Porta:
Algorithms and Applications for Community Detection in Weighted Networks. IEEE Trans. Parallel Distributed Syst. 26(11): 2916-2926 (2015) - [c22]Zuodong Yang, Yinyan Jiang, Yong Wu, Zongqing Lu, Weifeng Li, Qingmin Liao:
Weber binary pattern and Weber ternary pattern for illumination-robust face recognition. APSIPA 2015: 1050-1053 - [c21]Xiao Sun, Zongqing Lu, Wenjie Hu, Guohong Cao:
SymDetector: detecting sound-related respiratory symptoms using smartphones. UbiComp 2015: 97-108 - [c20]Zongqing Lu, Jing Zhao, Yibo Wu, Guohong Cao:
Task Allocation for Mobile Cloud Computing in Heterogeneous Wireless Networks. ICCCN 2015: 1-9 - [c19]Ben Niu, Xiaoyan Zhu, Weihao Li, Hui Li, Yingjuan Wang, Zongqing Lu:
A personalized two-tier cloaking scheme for privacy-aware location-based services. ICNC 2015: 94-98 - [c18]Wenteng Zhao, Zongqing Lu, Qingmin Liao:
Texture classification using uniform rotation invariant gradient. ICIP 2015: 3650-3654 - [c17]Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salathé, Guohong Cao:
Targeted vaccination based on a wireless sensor system. PerCom 2015: 215-220 - 2014
- [b1]Zongqing Lu:
Exploring social structures for network protocol designs. Nanyang Technological University, Singapore, 2014 - [j10]Kaihong Shi, Zongqing Lu, Qingyun She, Fei Zhou, Qingmin Liao:
Optical Flow Estimation Combining Spatial-Temporal Derivatives Based Nonlinear Filtering. IEICE Trans. Inf. Syst. 97-D(9): 2559-2562 (2014) - [j9]Qingyun She, Zongqing Lu, Weifeng Li, Qingmin Liao:
Multigrid Bilateral Filtering. IEICE Trans. Inf. Syst. 97-D(10): 2748-2759 (2014) - [j8]Yong Wu, Yinyan Jiang, Yicong Zhou, Weifeng Li, Zongqing Lu, Qingmin Liao:
Generalized Weber-face for illumination-robust face recognition. Neurocomputing 136: 262-267 (2014) - [j7]Zongqing Lu, Yonggang Wen:
Distributed Algorithm for Tree-Structured Data Aggregation Service Placement in Smart Grid. IEEE Syst. J. 8(2): 553-561 (2014) - [c16]Qingyun She, Zongqing Lu, Qingmin Liao:
Vanishing point estimation for challenging road images. ICIP 2014: 996-1000 - [c15]Chen Wang, Zongqing Lu, Qingmin Liao:
Local texture based optical flow for complex brightness variations. ICIP 2014: 1972-1976 - [c14]Zongqing Lu, Yonggang Wen, Guohong Cao:
Information diffusion in mobile social networks: The speed perspective. INFOCOM 2014: 1932-1940 - [c13]Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao:
Skeleton construction in mobile social networks: Algorithms and applications. SECON 2014: 477-485 - [i1]Ben Niu, Tanran Zhang, Xiaoyan Zhu, Hui Li, Zongqing Lu:
Priority-Aware Private Matching Schemes for Proximity-Based Mobile Social Networks. CoRR abs/1401.8064 (2014) - 2013
- [j6]Zongqing Lu, Yonggang Wen, Rui Fan, Su-Lim Tan, Jit Biswas:
Toward Efficient Distributed Algorithms for In-Network Binary Operator Tree Placement in Wireless Sensor Networks. IEEE J. Sel. Areas Commun. 31(4): 743-755 (2013) - [j5]Zongqing Lu, Su-Lim Tan, Jit Biswas:
Fusion function placement for Active Networks paradigm in wireless sensor networks. Wirel. Networks 19(7): 1525-1536 (2013) - [j4]Zongqing Lu, Su-Lim Tan, Jit Biswas:
D2F: A Routing Protocol for Distributed Data Fusion in Wireless Sensor Networks. Wirel. Pers. Commun. 70(1): 391-410 (2013) - [c12]Zongqing Lu, Yonggang Wen, Guohong Cao:
Community detection in weighted networks: Algorithms and applications. PerCom 2013: 179-184 - 2012
- [c11]Zongqing Lu, Yonggang Wen:
Credit routing for source-location privacy protection in wireless sensor networks. MASS 2012: 164-172 - [c10]Zongqing Lu, Yonggang Wen:
Distributed and Asynchronous Solution to Operator Placement in Large Wireless Sensor Networks. MSN 2012: 100-107 - 2011
- [j3]Lin Lin, Kai Juan Wong, Arun Kumar, Zongqing Lu, Su-Lim Tan, Soo-Jay Phee:
Evaluation of a TDMA-based energy efficient MAC protocol for multiple capsule networks. EURASIP J. Wirel. Commun. Netw. 2011: 54 (2011) - [c9]Zongqing Lu, Su-Lim Tan, Jit Biswas:
Fusion Function Placement Algorithm for Distributed Data Fusion Application in Wireless Sensor Networks. AINA Workshops 2011: 329-334 - [c8]Zongqing Lu, Su-Lim Tan, Jit Biswas:
A power-aware framework for distributed data fusion application in wireless sensor networks. LCN 2011: 127-130 - [c7]Zongqing Lu, Su-Lim Tan, Jit Biswas:
Function Placement of Data Fusion for Active Networks Paradigm in Wireless Sensor Networks. MASS 2011: 152-154
2000 – 2009
- 2009
- [j2]Zongqing Lu, Qingmin Liao, Jihong Pei:
A Nonlinear Filtering Based Optical Flow Computation. Int. J. Image Graph. 9(1): 121-132 (2009) - [c6]Jianfeng Shen, Zongqing Lu, Qingmin Liao:
An Effective Method for Foreground Segmentation of Video. ICIG 2009: 288-292 - [c5]Zongqing Lu, Qingmin Liao, Fan Yang:
A variational approach to automatic segmentation of RNFL on OCT data sets of the retina. ICIP 2009: 3345-3348 - 2008
- [c4]Zongqing Lu, Xiong Zhang, Chuiliang Sun:
An Embedded System with uClinux Based on FPGA. PACIIA (2) 2008: 691-694 - 2006
- [c3]Zongqing Lu, Weixin Xie:
A PDE-Based Method For Optical Flow Estimation. ICPR (2) 2006: 78-81 - [c2]Jihong Pei, Zongqing Lu, Weixin Xie:
A Method For IR Point Target Detection Based on Spatial-temporal Bilateral Filter. ICPR (3) 2006: 846-849 - 2005
- [j1]Zongqing Lu, Weixin Xie, Jihong Pei:
A Robust Optical Flow Estimation under Varying Illumination. Int. J. Inf. Acquis. 2(4): 303-313 (2005) - [c1]Zongqing Lu, Weixin Xie, Jihong Pei, Jianjun Huang:
Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms. WACV/MOTION 2005: 241-246
Coauthor Index
[j37] [j36] [c107] [c98] [c94] [c93] [c92] [i71] [i69] [i67] [j32] [c84] [c82] [c78] [i44] [i40] [j30] [j29] [j25] [c63] [c62] [c60] [c59] [i22] [i21] [i16] [j22] [c51] [i14] [i13] [c48] [c47] [c46] [c45] [c44] [j19] [i6] [j18] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [j13] [c23] [c22] [c18] [j10] [j9] [j8] [c16] [c15] [j2] [c6] [c5]
Thomas La Porta
aka: Thomas F. La Porta
aka: Thomas F. La Porta
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