Jiaming Liu

According to our database, Jiaming Liu authored at least 61 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for Multi-View BEV 3D Object Detection.

Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Yuan Du, Li Du, Shanghang Zhang

IEEE Trans. Intell. Veh., January, 2024

MAVIS: Mathematical Visual Instruction Tuning.

Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Yichi Zhang, Ziyu Guo, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Bin Wei, Shanghang Zhang, Peng Gao, Hongsheng Li

CoRR, 2024

MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision Perception.

Guanqun Wang, Xinyu Wei, Jiaming Liu, Ray Zhang, Yichi Zhang, Kevin Zhang, Maurice Chong, Shanghang Zhang

CoRR, 2024

AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation.

Chuyan Xiong, Chengyu Shen, Xiaoqi Li, Kaichen Zhou, Jiaming Liu, Ruiping Wang, Hao Dong

CoRR, 2024

RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation.

Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Lily Lee, Kaichen Zhou, Pengju An, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang

CoRR, 2024

Self-Corrected Multimodal Large Language Model for End-to-End Robot Manipulation.

Jiaming Liu, Chenxuan Li, Guanqun Wang, Lily Lee, Kaichen Zhou, Sixiang Chen, Chuyan Xiong, Jiaxin Ge, Renrui Zhang, Shanghang Zhang

CoRR, 2024

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation.

Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang

CoRR, 2024

Any2Point: Empowering Any-modality Large Models for Efficient 3D Understanding.

Yiwen Tang, Jiaming Liu, Dong Wang, Zhigang Wang, Shanghang Zhang, Bin Zhao, Xuelong Li

CoRR, 2024

Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection.

Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao

CoRR, 2024

A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge - Multi-Task Robustness Track.

Zehui Chen, Qiuchen Wang, Zhenyu Li, Jiaming Liu, Shanghang Zhang, Feng Zhao

CoRR, 2024

RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision.

Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Hongwei Xie, Bing Wang, Li Liu, Shanghang Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation.

Jiayi Ni, Senqiao Yang, Ran Xu, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Zehui Chen, Yi Liu, Shanghang Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer.

Jiaming Liu, Qizhe Zhang, Xiaoqi Li, Jianing Li, Guanqun Wang, Ming Lu, Tiejun Huang, Shanghang Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection.

Jiaming Liu, Rongyu Zhang, Xiaoqi Li, Xiaowei Chi, Zehui Chen, Ming Lu, Yandong Guo, Shanghang Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation.

Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training.

Xinyan Chen, Jiaxin Ge, Tianjun Zhang, Jiaming Liu, Shanghang Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Any2Point: Empowering Any-Modality Large Models for Efficient 3D Understanding.

Yiwen Tang, Ray Zhang, Jiaming Liu, Zoey Guo, Bin Zhao, Zhigang Wang, Peng Gao, Hongsheng Li, Dong Wang, Xuelong Li

Proceedings of the Computer Vision - ECCV 2024, 2024

LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model.

Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, Jiaming Liu, Shanghang Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

No Time to Train: Empowering Non-Parametric Networks for Few-Shot 3D Scene Segmentation.

Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Han Xiao, Chaoyou Fu, Hao Dong, Peng Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

FreeKD: Knowledge Distillation via Semantic Frequency Prompt.

Yuan Zhang, Tao Huang, Jiaming Liu, Tao Jiang, Kuan Cheng, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NTO3D: Neural Target Object 3D Reconstruction with Segment Anything.

Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Cloud-Device Collaborative Learning for Multimodal Large Language Models.

Guanqun Wang, Jiaming Liu, Chenxuan Li, Yuan Zhang, Junpeng Ma, Xinyu Wei, Kevin Zhang, Maurice Chong, Renrui Zhang, Yijiang Liu, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation.

Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation.

Xiaoqi Li, Mingxu Zhang, Yiran Geng, Haoran Geng, Yuxing Long, Yan Shen, Renrui Zhang, Jiaming Liu, Hao Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation.

Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction.

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection.

Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation.

Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang

CoRR, 2023

Cloud-Device Collaborative Learning for Multimodal Large Language Models.

Guanqun Wang, Jiaming Liu, Chenxuan Li, Junpeng Ma, Yuan Zhang, Xinyu Wei, Kevin Zhang, Maurice Chong, Ray Zhang, Yijiang Liu, Shanghang Zhang

CoRR, 2023

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding.

Senqiao Yang, Jiaming Liu, Ray Zhang, Mingjie Pan, Zoey Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Yandong Guo, Shanghang Zhang

CoRR, 2023

Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation.

Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang

CoRR, 2023

Split & Merge: Unlocking the Potential of Visual Adapters via Sparse Training.

Qizhe Zhang, Bocheng Zou, Ruichuan An, Jiaming Liu, Shanghang Zhang

CoRR, 2023

ImageManip: Image-based Robotic Manipulation with Affordance-guided Next View Selection.

Xiaoqi Li, Yanzi Wang, Yan Shen, Iaroslav Ponomarenko, Haoran Lu, Qianxu Wang, Boshi An, Jiaming Liu, Hao Dong

CoRR, 2023

Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation.

Jiayi Ni, Senqiao Yang, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Ran Xu, Zehui Chen, Yi Liu, Shanghang Zhang

CoRR, 2023

NOC: High-Quality Neural Object Cloning with 3D Lifting of Segment Anything.

Xiaobao Wei, Renrui Zhang, Jiarui Wu, Jiaming Liu, Ming Lu, Yandong Guo, Shanghang Zhang

CoRR, 2023

RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision.

Mingjie Pan, Jiaming Liu, Renrui Zhang, Peixiang Huang, Xiaoqi Li, Li Liu, Shanghang Zhang

CoRR, 2023

Less is More: Towards Efficient Few-shot 3D Semantic Segmentation via Training-free Networks.

Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Jiaming Liu, Hao Dong, Peng Gao

CoRR, 2023

PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers.

Peidong Jia, Jiaming Liu, Senqiao Yang, Jiarui Wu, Xiaodong Xie, Shanghang Zhang

CoRR, 2023

DiffuseIR: Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images.

Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Aimin Wang, Shanghang Zhang, Dawei Li

CoRR, 2023

UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering.

Mingjie Pan, Li Liu, Jiaming Liu, Peixiang Huang, Longlong Wang, Shanghang Zhang, Shaoqing Xu, Zhiyi Lai, Kuiyuan Yang

CoRR, 2023

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation.

Jiaming Liu, Senqiao Yang, Peidong Jia, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang

CoRR, 2023

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation.

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Shanghang Zhang

CoRR, 2023

RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery.

Rongyu Zhang, Lixuan Du, Jiaming Liu, Congcong Song, Fangxin Wang, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang

Proceedings of the 33rd Workshop on Network and Operating System Support for Digital Audio and Video, 2023

DiffuseIR: Diffusion Models for Isotropic Reconstruction of 3D Microscopic Images.

Mingjie Pan, Yulu Gan, Fangxu Zhou, Jiaming Liu, Ying Zhang, Aimin Wang, Shanghang Zhang, Dawei Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

HQRetouch: Learning Professional Face Retouching Via Masked Feature Fusion and Semantic-Aware Modulation.

Gangyi Hong, Fangshi Wang, Senmao Tian, Ming Lu, Jiaming Liu, Shunli Zhang

Proceedings of the IEEE International Conference on Image Processing, 2023

A Comprehensive Comparison of Projections in Omnidirectional Super-Resolution.

Huicheng Pi, Senmao Tian, Ming Lu, Jiaming Liu, Yandong Guo, Shunli Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input.

Senmao Tian, Ming Lu, Jiaming Liu, Yandong Guo, Yurong Chen, Shunli Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World.

Yulu Gan, Mingjie Pan, Rongyu Zhang, Zijian Ling, Lingran Zhao, Jiaming Liu, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks.

Xiaowei Chi, Jiaming Liu, Ming Lu, Rongyu Zhang, Zhaoqing Wang, Yandong Guo, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection.

Jianing Li, Ming Lu, Jiaming Liu, Yandong Guo, Li Du, Shanghang Zhang

CoRR, 2022

Multi-latent Space Alignments for Unsupervised Domain Adaptation in Multi-view 3D Object Detection.

Jiaming Liu, Rongyu Zhang, Xiaowei Chi, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang

CoRR, 2022

Uncertainty Guided Depth Fusion for Spike Camera.

Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang

CoRR, 2022

Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer.

Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang

CoRR, 2022

Cross-Domain Object Detection with Mean-Teacher Transformer.

Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang

CoRR, 2022

MTTrans: Cross-domain Object Detection with Mean Teacher Transformer.

Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis A. Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Adaptive Patch Exiting for Scalable Single Image Super-Resolution.

Shizun Wang, Jiaming Liu, Kaixin Chen, Xiaoqi Li, Ming Lu, Yandong Guo

Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient Meta-Tuning for Content-Aware Neural Video Delivery.

Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation.

Jiaming Liu, Ming Lu, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SamplingAug: On the Importance of Patch Sampling Augmentation for Single Image Super-Resolution.

Shizun Wang, Ming Lu, Kaixin Chen, Jiaming Liu, Xiaoqi Li, Chuang Zhang, Ming Wu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

FGSD: A Dataset for Fine-Grained Ship Detection in High Resolution Satellite Images.

Kaiyan Chen, Ming Wu, Jiaming Liu, Chuang Zhang

CoRR, 2020

2019

Towards Accurate High Resolution Satellite Image Semantic Segmentation.

Ming Wu, Chuang Zhang, Jiaming Liu, Lichen Zhou, Xiaoqi Li

IEEE Access, 2019