Dongfang Liu

According to our database, Dongfang Liu authored at least 79 papers between 2001 and 2024.

Collaborative distances:

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

2024

Guest Editorial Introduction to the Special Issue on Label-Efficient Learning on Video Data.

Wenguan Wang, Tianfei Zhou, Dongfang Liu, Zheng Thomas Tang, Alexander C. Loui

IEEE Trans. Circuits Syst. Video Technol., August, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

CoRR, 2024

Visual Agents as Fast and Slow Thinkers.

Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu

CoRR, 2024

Radiance Field Learners As UAV First-Person Viewers.

Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu

CoRR, 2024

Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models.

Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Dongfang Liu, Ying Nian Wu, Tong Geng

CoRR, 2024

Inertial Confinement Fusion Forecasting via LLMs.

Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng, Dongfang Liu

CoRR, 2024

AMD: Automatic Multi-step Distillation of Large-scale Vision Models.

Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu

CoRR, 2024

Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks.

Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu

CoRR, 2024

SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving.

Yiming Cui, Cheng Han, Dongfang Liu

CoRR, 2024

A systematic evaluation of computational methods for cell segmentation.

Yuxing Wang, Junhan Zhao, Hongye Xu, Cheng Han, Zhiqiang Tao, Dawei Zhou, Tong Geng, Dongfang Liu, Zhicheng Ji

Briefings Bioinform., 2024

Tutorial: Large Language-Vision Model in Society.

Kaicheng Yu, Zhuang Shao, Siyuan Qi, Dongfang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Towards Automatic Oracle Prediction for AR Testing: Assessing Virtual Object Placement Quality under Real-World Scenes.

Xiaoyi Yang, Yuxing Wang, Tahmid Rafi, Dongfang Liu, Xiaoyin Wang, Xueling Zhang

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications.

Pouya Haghi, Cheng Tan, Anqi Guo, Chunshu Wu, Dongfang Liu, Ang Li, Anthony Skjellum, Tong Geng, Martin C. Herbordt

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

Prototypical Transformer As Unified Motion Learners.

Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks.

Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo, Shiwei Feng, Dongfang Liu, Mingjie Tang, Xiangyu Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?

Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Translation as Diffusion Visual Programmers.

Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection.

Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.

Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu

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

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Target-driven Attack for Large Language Models.

Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval.

Jiamian Wang, Pichao Wang, Guohao Sun, Dongfang Liu, Sohail A. Dianat, Raghuveer Rao, Majid Rabbani, Zhiqiang Tao

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

ProMotion: Prototypes as Motion Learners.

Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan

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

2023

Deciphering the connection between upstream obstacles, wake structures, and root signals in seal whisker array sensing using interpretable neural networks.

Dariush Bodaghi, Yuxing Wang, Geng Liu, Dongfang Liu, Qian Xue, Xudong Zheng

Frontiers Robotics AI, September, 2023

Guest Editorial: Learning from limited annotations for computer vision tasks.

Yazhou Yao, Wenguan Wang, Qiang Wu, Dongfang Liu, Jin Zheng

IET Comput. Vis., August, 2023

Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows.

Zheyun Qin, Xiankai Lu, Xiushan Nie, Dongfang Liu, Yilong Yin, Wenguan Wang

IEEE CAA J. Autom. Sinica, May, 2023

Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning.

Zheyun Qin, Xiankai Lu, Dongfang Liu, Xiushan Nie, Yilong Yin, Jianbing Shen, Alexander C. Loui

IEEE Trans. Image Process., 2023

Tripartite Feature Enhanced Pyramid Network for Dense Prediction.

Dongfang Liu, James Liang, Tony Geng, Alexander C. Loui, Tianfei Zhou

IEEE Trans. Image Process., 2023

Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning.

Shaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan

CoRR, 2023

CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation.

Yiming Cui, Cheng Han, Dongfang Liu

CoRR, 2023

ClusterFormer: Clustering As A Universal Visual Learner.

James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

CoRR, 2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu

CoRR, 2023

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving.

Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang

CoRR, 2023

ClusterFomer: Clustering As A Universal Visual Learner.

James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning.

Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CLUSTSEG: Clustering for Universal Segmentation.

James Chenhao Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang

Proceedings of the International Conference on Machine Learning, 2023

Visual Recognition with Deep Nearest Centroids.

Wenguan Wang, Cheng Han, Tianfei Zhou, Dongfang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks.

Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Impact of Counselor E-Leadership on Student Followership Based on Social Information Processing Theory.

Liang Zhao, Dongfang Liu, Jinfeng Gao, Xinyao Geng, Jiaxu Yang

Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence, 2023

E²VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators.

Hongye Xu, Dongfang Liu, Cory E. Merkel, Michael Zuzak

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.

Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TransFlow: Transformer as Flow Learner.

Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu

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

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.

Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Video Captioning Using Global-Local Representation.

Liqi Yan, Siqi Ma, Qifan Wang, Yingjie Victor Chen, Xiangyu Zhang, Andreas E. Savakis, Dongfang Liu

IEEE Trans. Circuits Syst. Video Technol., 2022

In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes.

Alireza Naghizadeh, Wei-chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitris N. Metaxas, Carlos A. Ramos, Dongfang Liu

PLoS Comput. Biol., 2022

A Triangulation-Based Visual Localization for Field Robots.

James Liang, Yuxing Wang, Yingjie Victor Chen, Baijian Justin Yang, Dongfang Liu

IEEE CAA J. Autom. Sinica, 2022

Deep Partial Multiplex Network Embedding.

Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

WebFormer: The Web-page Transformer for Structure Information Extraction.

Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception.

Yiming Cui, Zhiwen Cao, Chloe Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Victor Chen, Lin Li, Dongfang Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning Equivariant Segmentation with Instance-Unique Querying.

Wenguan Wang, James Liang, Dongfang Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GL-RG: Global-Local Representation Granularity for Video Captioning.

Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HAVIT: A VR-Based Platform to Support Human-Autonomous Vehicle Interaction Study.

Xiaolei Guo, Dayu Wan, Dongfang Liu, Christos Mousas, Yingjie Victor Chen

Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2022

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.

Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches.

Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian.

Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Greedy auto-augmentation for n-shot learning using deep neural networks.

Alireza Naghizadeh, Dimitris N. Metaxas, Dongfang Liu

Neural Networks, 2021

DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception.

Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao, Yingjie Victor Chen, Lin Li, Dongfang Liu

CoRR, 2021

A Vector-based Representation to Enhance Head Pose Estimation.

Zhiwen Cao, Zongcheng Chu, Dongfang Liu, Yingjie Victor Chen

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images with Artificial Neural Networks.

Alireza Naghizadeh, Hongye Xu, Mohab Mohamed, Dimitris N. Metaxas, Dongfang Liu

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

TF-Blender: Temporal Feature Blender for Video Object Detection.

Yiming Cui, Liqi Yan, Zhiwen Cao, Dongfang Liu

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

Hierarchical Attention Fusion for Geo-Localization.

Liqi Yan, Yiming Cui, Yingjie Victor Chen, Dongfang Liu

Proceedings of the IEEE International Conference on Acoustics, 2021

Research on 5G Technology Competition Situation Based on Patent Analysis.

Dongfang Liu, Weidong Huang, Guangjun Xing

Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021

SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation.

Dongfang Liu, Yiming Cui, Wenbo Tan, Yingjie Victor Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation.

Dongfang Liu, Yiming Cui, Liqi Yan, Christos Mousas, Baijian Yang, Yingjie Victor Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Accurate Lane Detection for Self-Driving Cars: An Approach Based on Color Filter Adjustment and K-Means Clustering Filter.

Dongfang Liu, Yaqin Wang, Tian Chen, Eric T. Matson

Int. J. Semantic Comput., 2020

Video object detection for autonomous driving: Motion-aid feature calibration.

Dongfang Liu, Yiming Cui, Yingjie Victor Chen, Jiyong Zhang, Bin Fan

Neurocomputing, 2020

Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning.

Liqi Yan, Dongfang Liu, Yaoxian Song, Changbin Yu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Indoor Navigation for Mobile Agents: A Multimodal Vision Fusion Model.

Dongfang Liu, Yiming Cui, Zhiwen Cao, Yingjie Victor Chen

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Large-scale Simulation Dataset: Boost the Detection Accuracy for Special Weather Conditions.

Dongfang Liu, Yiming Cui, Zhiwen Cao, Yingjie Victor Chen

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze.

Dongfang Liu, Yiming Cui, Xiaolei Guo, Wei Ding, Baijian Yang, Yingjie Victor Chen

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Object Detection for Autonomous Driving: Motion-aid Feature Calibration Network.

Dongfang Liu, Yaqin Wang, Eric T. Matson

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

VR-PAVIB: The Virtual Reality Pedestrian-Autonomous Vehicle Interaction Benchmark.

Ana Fiona Dalipi, Dongfang Liu, Xiaolei Guo, Yingjie Victor Chen, Christos Mousas

Proceedings of the Adjunct Proceedings of the 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2020

2019

Virtual World Bridges the Real Challenge: Automated Data Generation for Autonomous Driving.

Dongfang Liu, Yaqin Wang, Kar Ee Ho, Zhiwei Chu, Eric Matson

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Application of Color Filter Adjustment and K-Means Clustering Method in Lane Detection for Self-Driving Cars.

Dongfang Liu, Yaqin Wang, Tian Chen, Eric T. Matson

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

End-to-end Learning Approach for Autonomous Driving: A Convolutional Neural Network Model.

Yaqin Wang, Dongfang Liu, Hyewon Jeon, Zhiwei Chu, Eric T. Matson

Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

2006

Outage Capacity Analysis of MIMO Macro-Selection Systems.

Wun-Cheol Jeong, Dongfang Liu, Jong-Moon Chung

IEICE Trans. Commun., 2006

2001

OFDM frame synchronization in slotted ALOHA mobile communication systems.

Jong-Moon Chung, Dongfang Liu, Krishnaveni Ramasamy, Sriram Varadarajan

Proceedings of the 54th IEEE Vehicular Technology Conference, 2001