Tao Kong

Orcid: 0000-0002-6496-092X

According to our database1, Tao Kong authored at least 62 papers between 2004 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
SInViG: A Self-Evolving Interactive Visual Agent for Human-Robot Interaction.
CoRR, 2024

Towards Unified Interactive Visual Grounding in The Wild.
CoRR, 2024

2023
Sparse R-CNN: An End-to-End Framework for Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Image blind motion deblurring method with longitudinal channel and wavelet dynamic convolution.
Comput. Graph., November, 2023

Image motion deblurring via attention generative adversarial network.
Comput. Graph., April, 2023

DenseCL: A simple framework for self-supervised dense visual pre-training.
Vis. Informatics, March, 2023

Self-Supervised Learning by Estimating Twin Class Distribution.
IEEE Trans. Image Process., 2023

Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.
CoRR, 2023

Vision-Language Foundation Models as Effective Robot Imitators.
CoRR, 2023

InViG: Benchmarking Interactive Visual Grounding with 500K Human-Robot Interactions.
CoRR, 2023

ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations.
CoRR, 2023

What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
CoRR, 2023

MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation.
IROS, 2023

Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and Methods.
IROS, 2023

Towards Open-World Interactive Disambiguation for Robotic Grasping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning to Explore Informative Trajectories and Samples for Embodied Perception.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
3D Part Assembly Generation With Instance Encoded Transformer.
IEEE Robotics Autom. Lett., 2022

ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation.
IEEE Robotics Autom. Lett., 2022

Mask encoding: A general instance mask representation for object segmentation.
Pattern Recognit., 2022

SOLO: A Simple Framework for Instance Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Exploring Target Representations for Masked Autoencoders.
CoRR, 2022

Navigating to Objects in Unseen Environments by Distance Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Image BERT Pre-training with Online Tokenizer.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Unifying Reference Expression Generation and Comprehension.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generative Category-Level Shape and Pose Estimation with Semantic Primitives.
Proceedings of the Conference on Robot Learning, 2022

2021
iBOT: Image BERT Pre-Training with Online Tokenizer.
CoRR, 2021

Self-Supervised Learning by Estimating Twin Class Distributions.
CoRR, 2021

Learning to Design and Construct Bridge without Blueprint.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Adversarial Option-Aware Hierarchical Imitation Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Dense Contrastive Learning for Self-Supervised Visual Pre-Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Sparse R-CNN: End-to-End Object Detection With Learnable Proposals.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Locate Then Segment: A Strong Pipeline for Referring Image Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Scale-Aware Automatic Augmentation for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
FoveaBox: Beyound Anchor-Based Object Detection.
IEEE Trans. Image Process., 2020

TransTrack: Multiple-Object Tracking with Transformer.
CoRR, 2020

SOLOv2: Dynamic, Faster and Stronger.
CoRR, 2020

SOLOv2: Dynamic and Fast Instance Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SOLO: Segmenting Objects by Locations.
Proceedings of the Computer Vision - ECCV 2020, 2020

Near-duplicated Loss for Accurate Object Localization.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Task-Aware Monocular Depth Estimation for 3D Object Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Feature Pyramid Reconfiguration With Consistent Loss for Object Detection.
IEEE Trans. Image Process., 2019

FoveaBox: Beyond Anchor-based Object Detector.
CoRR, 2019

Consistent Optimization for Single-Shot Object Detection.
CoRR, 2019

Air Quality Predictive Modeling Based on an Improved Decision Tree in a Weather-Smart Grid.
IEEE Access, 2019

Deep Point-Wise Prediction for Action Temporal Proposal.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Attention-based Transfer Learning for Brain-computer Interface.
Proceedings of the IEEE International Conference on Acoustics, 2019

Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Adaptive Adversarial Transfer Learning for Electroencephalography Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Survey on Deep Transfer Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Electroencephalography Classification in Brain-Computer Interface with Manifold Constraints Transfer.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Deep Feature Pyramid Reconfiguration for Object Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
A hybrid deep architecture for robotic grasp detection.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

RON: Reverse Connection with Objectness Prior Networks for Object Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Object discovery and grasp detection with a shared convolutional neural network.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014
A new finger-knuckle-print ROI extraction method based on probabilistic region growing algorithm.
Int. J. Mach. Learn. Cybern., 2014

A hierarchical classification method for finger knuckle print recognition.
EURASIP J. Adv. Signal Process., 2014

2007
Gold-Based Nanoparticles for Breast Cancer Diagnosis and Treatment.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2004
Security Enhanced to GSI: An Integrated Framework with a Mechanism.
Proceedings of the Grid and Cooperative Computing, 2004


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