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Jiaming Liu 0003
Person information
- unicode name: 刘家铭
- affiliation: Peking University, School of Computer Science, Beijing, China
Other persons with the same name
- Jiaming Liu — disambiguation page
- Jiaming Liu 0001 — Washington University in St. Louis, MO, USA
- Jiaming Liu 0002 — University of Electronic Science and Technology of China, Chengdu, Sichuan, China
Other persons with a similar name
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2020 – today
- 2024
- [j2]Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Yuan Du, Li Du, Shanghang Zhang:
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for Multi-View BEV 3D Object Detection. IEEE Trans. Intell. Veh. 9(1): 2489-2498 (2024) - [c29]Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao:
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. AAAI 2024: 1797-1805 - [c28]Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang:
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. AAAI 2024: 16334-16342 - [c27]Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. AAAI 2024: 16812-16820 - [c26]Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Han Xiao, Chaoyou Fu, Hao Dong, Peng Gao:
No Time to Train: Empowering Non-Parametric Networks for Few-Shot 3D Scene Segmentation. CVPR 2024: 3838-3847 - [c25]Guanqun Wang, Jiaming Liu, Chenxuan Li, Yuan Zhang, Junpeng Ma, Xinyu Wei, Kevin Zhang, Maurice Chong, Renrui Zhang, Yijiang Liu, Shanghang Zhang:
Cloud-Device Collaborative Learning for Multimodal Large Language Models. CVPR 2024: 12646-12655 - [c24]Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang:
FreeKD: Knowledge Distillation via Semantic Frequency Prompt. CVPR 2024: 15931-15940 - [c23]Xiaoqi Li, Mingxu Zhang, Yiran Geng, Haoran Geng, Yuxing Long, Yan Shen, Renrui Zhang, Jiaming Liu, Hao Dong:
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation. CVPR 2024: 18061-18070 - [c22]Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang:
NTO3D: Neural Target Object 3D Reconstruction with Segment Anything. CVPR 2024: 20352-20362 - [c21]Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang:
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. CVPR 2024: 28653-28663 - [c20]Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, Jiaming Liu, Shanghang Zhang:
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model. ECCV (33) 2024: 235-252 - [c19]Yiwen Tang, Ray Zhang, Jiaming Liu, Zoey Guo, Bin Zhao, Zhigang Wang, Peng Gao, Hongsheng Li, Dong Wang, Xuelong Li:
Any2Point: Empowering Any-Modality Large Models for Efficient 3D Understanding. ECCV (36) 2024: 456-473 - [c18]Xinyan Chen, Jiaxin Ge, Tianjun Zhang, Jiaming Liu, Shanghang Zhang:
Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training. EMNLP (Findings) 2024: 2937-2952 - [c17]Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang:
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. ICLR 2024 - [c16]Jiayi Ni, Senqiao Yang, Ran Xu, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Zehui Chen, Yi Liu, Shanghang Zhang:
Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation. ICRA 2024: 3044-3050 - [c15]Jiaming Liu, Qizhe Zhang, Xiaoqi Li, Jianing Li, Guanqun Wang, Ming Lu, Tiejun Huang, Shanghang Zhang:
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. ICRA 2024: 9109-9116 - [c14]Jiaming Liu, Rongyu Zhang, Xiaoqi Li, Xiaowei Chi, Zehui Chen, Ming Lu, Yandong Guo, Shanghang Zhang:
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection. ICRA 2024: 9487-9494 - [c13]Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Hongwei Xie, Bing Wang, Li Liu, Shanghang Zhang:
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. ICRA 2024: 12404-12411 - [i42]Zehui Chen, Qiuchen Wang, Zhenyu Li, Jiaming Liu, Shanghang Zhang, Feng Zhao:
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge - Multi-Task Robustness Track. CoRR abs/2402.17319 (2024) - [i41]Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao:
Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. CoRR abs/2403.15317 (2024) - [i40]Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Han Xiao, Chaoyou Fu, Hao Dong, Peng Gao:
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation. CoRR abs/2404.04050 (2024) - [i39]Yiwen Tang, Jiaming Liu, Dong Wang, Zhigang Wang, Shanghang Zhang, Bin Zhao, Xuelong Li:
Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding. CoRR abs/2404.07989 (2024) - [i38]Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, Jiaming Liu, Shanghang Zhang:
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model. CoRR abs/2405.02363 (2024) - [i37]Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang:
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. CoRR abs/2405.16486 (2024) - [i36]Jiaming Liu, Chenxuan Li, Guanqun Wang, Lily Lee, Kaichen Zhou, Sixiang Chen, Chuyan Xiong, Jiaxin Ge, Renrui Zhang, Shanghang Zhang:
Self-Corrected Multimodal Large Language Model for End-to-End Robot Manipulation. CoRR abs/2405.17418 (2024) - [i35]Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Lily Lee, Kaichen Zhou, Pengju An, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang:
RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation. CoRR abs/2406.04339 (2024) - [i34]Chuyan Xiong, Chengyu Shen, Xiaoqi Li, Kaichen Zhou, Jiaming Liu, Ruiping Wang, Hao Dong:
AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation. CoRR abs/2406.11548 (2024) - [i33]Guanqun Wang, Xinyu Wei, Jiaming Liu, Ray Zhang, Yichi Zhang, Kevin Zhang, Maurice Chong, Shanghang Zhang:
MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception. CoRR abs/2406.15768 (2024) - [i32]Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Yichi Zhang, Ziyu Guo, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Bin Wei, Shanghang Zhang, Peng Gao, Hongsheng Li:
MAVIS: Mathematical Visual Instruction Tuning. CoRR abs/2407.08739 (2024) - 2023
- [c12]Senmao Tian, Ming Lu, Jiaming Liu, Yandong Guo, Yurong Chen, Shunli Zhang:
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input. CVPR 2023: 1756-1765 - [c11]Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang:
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World. CVPR 2023: 12157-12166 - [c10]Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang:
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. CVPR 2023: 17461-17470 - [c9]Huicheng Pi, Senmao Tian, Ming Lu, Jiaming Liu, Yandong Guo, Shunli Zhang:
A Comprehensive Comparison of Projections in Omnidirectional Super-Resolution. ICASSP 2023: 1-5 - [c8]Gangyi Hong, Fangshi Wang, Senmao Tian, Ming Lu, Jiaming Liu, Shunli Zhang:
HQRetouch: Learning Professional Face Retouching Via Masked Feature Fusion and Semantic-Aware Modulation. ICIP 2023: 440-444 - [c7]Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Ying Zhang, Aimin Wang, Shanghang Zhang, Dawei Li:
DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images. MICCAI (10) 2023: 323-332 - [c6]Rongyu Zhang, Lixuan Du, Jiaming Liu, Congcong Song, Fangxin Wang, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang:
RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery. NOSSDAV 2023: 1-7 - [i31]Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Shanghang Zhang:
Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation. CoRR abs/2303.09792 (2023) - [i30]Senmao Tian, Ming Lu, Jiaming Liu, Yandong Guo, Yurong Chen, Shunli Zhang:
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input. CoRR abs/2304.06454 (2023) - [i29]Huicheng Pi, Senmao Tian, Ming Lu, Jiaming Liu, Yandong Guo, Shunli Zhang:
A Comprehensive Comparison of Projections in Omnidirectional Super-Resolution. CoRR abs/2304.06497 (2023) - [i28]Jiaming Liu, Senqiao Yang, Peidong Jia, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang:
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. CoRR abs/2306.04344 (2023) - [i27]Mingjie Pan, Li Liu, Jiaming Liu, Peixiang Huang, Longlong Wang, Shanghang Zhang, Shaoqing Xu, Zhiyi Lai, Kuiyuan Yang:
UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering. CoRR abs/2306.09117 (2023) - [i26]Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li:
DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images. CoRR abs/2306.12109 (2023) - [i25]Peidong Jia, Jiaming Liu, Senqiao Yang, Jiarui Wu, Xiaodong Xie, Shanghang Zhang:
PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers. CoRR abs/2307.00313 (2023) - [i24]Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Hao Dong, Peng Gao:
Less is More: Towards Efficient Few-shot 3D Semantic Segmentation via Training-free Networks. CoRR abs/2308.12961 (2023) - [i23]Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Li Liu, Shanghang Zhang:
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision. CoRR abs/2309.09502 (2023) - [i22]Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang:
NOC: High-Quality Neural Object Cloning with 3D Lifting of Segment Anything. CoRR abs/2309.12790 (2023) - [i21]Jiayi Ni, Senqiao Yang, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Ran Xu, Zehui Chen, Yi Liu, Shanghang Zhang:
Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation. CoRR abs/2309.13604 (2023) - [i20]Xiaoqi Li, Yanzi Wang, Yan Shen, Iaroslav Ponomarenko, Haoran Lu, Qianxu Wang, Boshi An, Jiaming Liu, Hao Dong:
ImageManip: Image-based Robotic Manipulation with Affordance-guided Next View Selection. CoRR abs/2310.09069 (2023) - [i19]Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang:
FreeKD: Knowledge Distillation via Semantic Frequency Prompt. CoRR abs/2311.12079 (2023) - [i18]Qizhe Zhang, Bocheng Zou, Ruichuan An, Jiaming Liu, Shanghang Zhang:
Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training. CoRR abs/2312.02923 (2023) - [i17]Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang:
Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. CoRR abs/2312.12480 (2023) - [i16]Senqiao Yang, Jiaming Liu, Ray Zhang, Mingjie Pan, Zoey Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Yandong Guo, Shanghang Zhang:
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. CoRR abs/2312.14074 (2023) - [i15]Xiaoqi Li, Mingxu Zhang, Yiran Geng, Haoran Geng, Yuxing Long, Yan Shen, Renrui Zhang, Jiaming Liu, Hao Dong:
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation. CoRR abs/2312.16217 (2023) - [i14]Guanqun Wang, Jiaming Liu, Chenxuan Li, Junpeng Ma, Yuan Zhang, Xinyu Wei, Kevin Zhang, Maurice Chong, Ray Zhang, Yijiang Liu, Shanghang Zhang:
Cloud-Device Collaborative Learning for Multimodal Large Language Models. CoRR abs/2312.16279 (2023) - [i13]Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang:
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. CoRR abs/2312.16610 (2023) - 2022
- [c5]Shizun Wang, Jiaming Liu, Kaixin Chen, Xiaoqi Li, Ming Lu, Yandong Guo:
Adaptive Patch Exiting for Scalable Single Image Super-Resolution. ECCV (18) 2022: 292-307 - [c4]Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang:
Efficient Meta-Tuning for Content-Aware Neural Video Delivery. ECCV (18) 2022: 308-324 - [c3]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
MTTrans: Cross-domain Object Detection with Mean Teacher Transformer. ECCV (9) 2022: 629-645 - [i12]Shizun Wang, Ming Lu, Kaixin Chen, Xiaoqi Li, Jiaming Liu, Yandong Guo:
Adaptive Patch Exiting for Scalable Single Image Super-Resolution. CoRR abs/2203.11589 (2022) - [i11]Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang:
Cross-Domain Object Detection with Mean-Teacher Transformer. CoRR abs/2205.01643 (2022) - [i10]Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang:
Efficient Meta-Tuning for Content-aware Neural Video Delivery. CoRR abs/2207.09691 (2022) - [i9]Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang:
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. CoRR abs/2208.12527 (2022) - [i8]Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang:
Uncertainty Guided Depth Fusion for Spike Camera. CoRR abs/2208.12653 (2022) - [i7]Jiaming Liu, Rongyu Zhang, Xiaowei Chi, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang:
Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection. CoRR abs/2211.17126 (2022) - [i6]Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Li Du, Shanghang Zhang:
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection. CoRR abs/2212.00623 (2022) - [i5]Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang:
Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-world. CoRR abs/2212.00972 (2022) - [i4]Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang:
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks. CoRR abs/2212.01231 (2022) - 2021
- [c2]Shizun Wang, Ming Lu, Kaixin Chen, Jiaming Liu, Xiaoqi Li, Chuang Zhang, Ming Wu:
SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution. BMVC 2021: 34 - [c1]Jiaming Liu, Ming Lu, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu:
Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation. ICCV 2021: 4611-4620 - [i3]Jiaming Liu, Ming Lu, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu:
Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation. CoRR abs/2108.08202 (2021) - [i2]Shizun Wang, Ming Lu, Kaixin Chen, Jiaming Liu, Xiaoqi Li, Chuang Zhang, Ming Wu:
SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution. CoRR abs/2111.15185 (2021) - 2020
- [i1]Kaiyan Chen, Ming Wu, Jiaming Liu, Chuang Zhang:
FGSD: A Dataset for Fine-Grained Ship Detection in High Resolution Satellite Images. CoRR abs/2003.06832 (2020)
2010 – 2019
- 2019
- [j1]Ming Wu, Chuang Zhang, Jiaming Liu, Lichen Zhou, Xiaoqi Li:
Towards Accurate High Resolution Satellite Image Semantic Segmentation. IEEE Access 7: 55609-55619 (2019)
Coauthor Index
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last updated on 2024-11-14 20:54 CET by the dblp team
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