Tao Kong

According to our database, Tao Kong authored at least 68 papers between 2004 and 2024.

Collaborative distances:

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

2024

GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

Chilam Cheang, Guangzeng Chen, Ya Jing, Tao Kong, Hang Li, Yifeng Li, Yuxiao Liu, Hongtao Wu, Jiafeng Xu, Yichu Yang, Hanbo Zhang, Minzhao Zhu

CoRR, 2024

World Model-based Perception for Visual Legged Locomotion.

Hang Lai, Jiahang Cao, Jiafeng Xu, Hongtao Wu, Yunfeng Lin, Tao Kong, Yong Yu, Weinan Zhang

CoRR, 2024

GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal Conditioned Policy.

Peiyan Li, Hongtao Wu, Yan Huang, Chilam Cheang, Liang Wang, Tao Kong

CoRR, 2024

IRASim: Learning Interactive Real-Robot Action Simulators.

Fangqi Zhu, Hongtao Wu, Song Guo, Yuxiao Liu, Chilam Cheang, Tao Kong

CoRR, 2024

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

Jie Xu, Hanbo Zhang, Xinghang Li, Huaping Liu, Xuguang Lan, Tao Kong

CoRR, 2024

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

Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong, Ruihua Song

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Towards Unified Interactive Visual Grounding in The Wild.

Jie Xu, Hanbo Zhang, Qingyi Si, Yifeng Li, Xuguang Lan, Tao Kong

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

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

Hongtao Wu, Ya Jing, Chilam Cheang, Guangzeng Chen, Jiafeng Xu, Xinghang Li, Minghuan Liu, Hang Li, Tao Kong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring Target Representations for Masked Autoencoders.

Xingbin Liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Vision-Language Foundation Models as Effective Robot Imitators.

Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

InViG: Benchmarking Open-Ended Interactive Visual Grounding with 500K Dialogues.

Hanbo Zhang, Jie Xu, Yuchen Mo, Tao Kong

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

2023

Sparse R-CNN: An End-to-End Framework for Object Detection.

Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Zehuan Yuan, Ping Luo

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Image blind motion deblurring method with longitudinal channel and wavelet dynamic convolution.

Nanhe Jiang, Yucun Zhang, Fang Yan, Xianbin Fu, Tao Kong

Comput. Graph., November, 2023

Image motion deblurring via attention generative adversarial network.

Yucun Zhang, Tao Li, Qun Li, Xianbin Fu, Tao Kong

Comput. Graph., April, 2023

DenseCL: A simple framework for self-supervised dense visual pre-training.

Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong

Vis. Informatics, March, 2023

Self-Supervised Learning by Estimating Twin Class Distribution.

Feng Wang, Tao Kong, Rufeng Zhang, Huaping Liu, Hang Li

IEEE Trans. Image Process., 2023

Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training.

Yukang Chen, Peizhen Zhang, Tao Kong, Yanwei Li, Xiangyu Zhang, Lu Qi, Jian Sun, Jiaya Jia

IEEE Trans. Pattern Anal. Mach. Intell., 2023

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

Hanbo Zhang, Jie Xu, Yuchen Mo, Tao Kong

CoRR, 2023

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

Leyao Liu, Tao Kong, Minzhao Zhu, Jiashuo Fan, Lu Fang

CoRR, 2023

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

Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong

CoRR, 2023

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

Taozheng Yang, Ya Jing, Hongtao Wu, Jiafeng Xu, Kuankuan Sima, Guangzeng Chen, Qie Sima, Tao Kong

IROS, 2023

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

Ya Jing, Xuelin Zhu, Xingbin Liu, Qie Sima, Taozheng Yang, Yunhai Feng, Tao Kong

IROS, 2023

Towards Open-World Interactive Disambiguation for Robotic Grasping.

Yuchen Mo, Hanbo Zhang, Tao Kong

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning to Explore Informative Trajectories and Samples for Embodied Perception.

Ya Jing, Tao Kong

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

3D Part Assembly Generation With Instance Encoded Transformer.

Rufeng Zhang, Tao Kong, Weihao Wang, Xuan Han, Mingyu You

IEEE Robotics Autom. Lett., 2022

ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation.

Ruihang Chu, Yukang Chen, Tao Kong, Lu Qi, Lei Li

IEEE Robotics Autom. Lett., 2022

Mask encoding: A general instance mask representation for object segmentation.

Rufeng Zhang, Tao Kong, Xinlong Wang, Mingyu You

Pattern Recognit., 2022

SOLO: A Simple Framework for Instance Segmentation.

Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Navigating to Objects in Unseen Environments by Distance Prediction.

Minzhao Zhu, Binglei Zhao, Tao Kong

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.

Yunfei Li, Tao Kong, Lei Li, Yi Wu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Image BERT Pre-training with Online Tokenizer.

Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong

Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Unifying Reference Expression Generation and Comprehension.

Duo Zheng, Tao Kong, Ya Jing, Jiaan Wang, Xiaojie Wang

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

Generative Category-Level Shape and Pose Estimation with Semantic Primitives.

Guanglin Li, Yifeng Li, Zhichao Ye, Qihang Zhang, Tao Kong, Zhaopeng Cui, Guofeng Zhang

Proceedings of the Conference on Robot Learning, 2022

2021

iBOT: Image BERT Pre-Training with Online Tokenizer.

Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong

CoRR, 2021

Self-Supervised Learning by Estimating Twin Class Distributions.

Feng Wang, Tao Kong, Rufeng Zhang, Huaping Liu, Hang Li

CoRR, 2021

Learning to Design and Construct Bridge without Blueprint.

Yunfei Li, Tao Kong, Lei Li, Yifeng Li, Yi Wu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation.

Yiming Li, Tao Kong, Ruihang Chu, Yifeng Li, Peng Wang, Lei Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Adversarial Option-Aware Hierarchical Imitation Learning.

Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, Lei Li

Proceedings of the 38th International Conference on Machine Learning, 2021

Dense Contrastive Learning for Self-Supervised Visual Pre-Training.

Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li

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

Sparse R-CNN: End-to-End Object Detection With Learnable Proposals.

Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo

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

Locate Then Segment: A Strong Pipeline for Referring Image Segmentation.

Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan

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

Scale-Aware Automatic Augmentation for Object Detection.

Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia

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

2020

FoveaBox: Beyound Anchor-Based Object Detection.

Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Lei Li, Jianbo Shi

IEEE Trans. Image Process., 2020

TransTrack: Multiple-Object Tracking with Transformer.

Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, Ping Luo

CoRR, 2020

SOLOv2: Dynamic, Faster and Stronger.

Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, Chunhua Shen

CoRR, 2020

SOLOv2: Dynamic and Fast Instance Segmentation.

Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, Chunhua Shen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SOLO: Segmenting Objects by Locations.

Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li

Proceedings of the Computer Vision - ECCV 2020, 2020

Near-duplicated Loss for Accurate Object Localization.

He Liu, Xiaocheng Yang, Huaping Liu, Tao Kong, Fuchun Sun

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Task-Aware Monocular Depth Estimation for 3D Object Detection.

Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Feature Pyramid Reconfiguration With Consistent Loss for Object Detection.

Fuchun Sun, Tao Kong, Wen-bing Huang, Chuanqi Tan, Bin Fang, Huaping Liu

IEEE Trans. Image Process., 2019

FoveaBox: Beyond Anchor-based Object Detector.

Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Jianbo Shi

CoRR, 2019

Consistent Optimization for Single-Shot Object Detection.

Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Jianbo Shi

CoRR, 2019

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

Yuanni Wang, Tao Kong

IEEE Access, 2019

Deep Point-Wise Prediction for Action Temporal Proposal.

Luxuan Li, Tao Kong, Fuchun Sun, Huaping Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Attention-based Transfer Learning for Brain-computer Interface.

Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang

Proceedings of the IEEE International Conference on Acoustics, 2019

Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination.

Liangzhe Yuan, Yibo Chen, Hantian Liu, Tao Kong, Jianbo Shi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Adaptive Adversarial Transfer Learning for Electroencephalography Classification.

Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Tao Kong, Chao Yang, Xinyu Zhang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Survey on Deep Transfer Learning.

Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Electroencephalography Classification in Brain-Computer Interface with Manifold Constraints Transfer.

Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Tao Kong

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Deep Feature Pyramid Reconfiguration for Object Detection.

Tao Kong, Fuchun Sun, Wen-bing Huang, Huaping Liu

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

A hybrid deep architecture for robotic grasp detection.

Di Guo, Fuchun Sun, Huaping Liu, Tao Kong, Bin Fang, Ning Xi

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

RON: Reverse Connection with Objectness Prior Networks for Object Detection.

Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Ming Lu, Yurong Chen

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.

Di Guo, Tao Kong, Fuchun Sun, Huaping Liu

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection.

Tao Kong, Anbang Yao, Yurong Chen, Fuchun Sun

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.

Tao Kong, Gongping Yang, Lu Yang

Int. J. Mach. Learn. Cybern., 2014

A hierarchical classification method for finger knuckle print recognition.

Tao Kong, Gongping Yang, Lu Yang

EURASIP J. Adv. Signal Process., 2014

2007

Gold-Based Nanoparticles for Breast Cancer Diagnosis and Treatment.

James Xing, Jie Zeng, Jing Yang, Tao Kong, Tao Xu, Wilson Roa, Xiaoping Wang, Jie Chen

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2004

Security Enhanced to GSI: An Integrated Framework with a Mechanism.

Baoliang Zhang, Hanping Hu, Xiaogang Wu, Tao Kong

Proceedings of the Grid and Cooperative Computing, 2004