Dongfang Liu

Orcid: 0000-0001-6995-4775

According to our database1, Dongfang Liu authored at least 57 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval.
CoRR, 2024

Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?
CoRR, 2024

Image Translation as Diffusion Visual Programmers.
CoRR, 2024

2023
Deciphering the connection between upstream obstacles, wake structures, and root signals in seal whisker array sensing using interpretable neural networks.
Frontiers Robotics AI, September, 2023

Guest Editorial: Learning from limited annotations for computer vision tasks.
IET Comput. Vis., August, 2023

Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows.
IEEE CAA J. Autom. Sinica, May, 2023

Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning.
IEEE Trans. Image Process., 2023

Tripartite Feature Enhanced Pyramid Network for Dense Prediction.
IEEE Trans. Image Process., 2023

Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning.
CoRR, 2023

CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation.
CoRR, 2023

ClusterFormer: Clustering As A Universal Visual Learner.
CoRR, 2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.
CoRR, 2023

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving.
CoRR, 2023

ClusterFomer: Clustering As A Universal Visual Learner.
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.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CLUSTSEG: Clustering for Universal Segmentation.
Proceedings of the International Conference on Machine Learning, 2023

Visual Recognition with Deep Nearest Centroids.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

E<sup>2</sup>VPT: An Effective and Efficient Approach for Visual Prompt Tuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TransFlow: Transformer as Flow Learner.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Video Captioning Using Global-Local Representation.
IEEE Trans. Circuits Syst. Video Technol., 2022

In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes.
PLoS Comput. Biol., 2022

A Triangulation-Based Visual Localization for Field Robots.
IEEE CAA J. Autom. Sinica, 2022

Deep Partial Multiplex Network Embedding.
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.
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.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning Equivariant Segmentation with Instance-Unique Querying.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HAVIT: A VR-Based Platform to Support Human-Autonomous Vehicle Interaction Study.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Greedy auto-augmentation for n-shot learning using deep neural networks.
Neural Networks, 2021

A Vector-based Representation to Enhance Head Pose Estimation.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

TF-Blender: Temporal Feature Blender for Video Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hierarchical Attention Fusion for Geo-Localization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Research on 5G Technology Competition Situation Based on Patent Analysis.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation.
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.
Int. J. Semantic Comput., 2020

Video object detection for autonomous driving: Motion-aid feature calibration.
Neurocomputing, 2020

Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Indoor Navigation for Mobile Agents: A Multimodal Vision Fusion Model.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Large-scale Simulation Dataset: Boost the Detection Accuracy for Special Weather Conditions.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Object Detection for Autonomous Driving: Motion-aid Feature Calibration Network.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

VR-PAVIB: The Virtual Reality Pedestrian-Autonomous Vehicle Interaction Benchmark.
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.
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.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

End-to-end Learning Approach for Autonomous Driving: A Convolutional Neural Network Model.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

2006
Outage Capacity Analysis of MIMO Macro-Selection Systems.
IEICE Trans. Commun., 2006

2001
OFDM frame synchronization in slotted ALOHA mobile communication systems.
Proceedings of the 54th IEEE Vehicular Technology Conference, 2001


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