Tao Kong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
17
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | ProcWorld: Benchmarking Large Model Planning in Reachability-Constrained Environments. | Dong Wang, Xinghang Li, Zhengshen Zhang, Jirong Liu, Xiao Ma, Hanbo Zhang, Tao Kong, Huaping Liu |
| 2025 | ICCV | IRASim: A Fine-Grained World Model for Robot Manipulation. | Fangqi Zhu, Hongtao Wu, Song Guo, Yuxiao Liu, Chilam Cheang, Tao Kong |
| 2025 | ICRA | World Model-Based Perception for Visual Legged Locomotion. | Hang Lai, Jiahang Cao, Jiafeng Xu, Hongtao Wu, Yunfeng Lin, Tao Kong, Yong Yu, Weinan Zhang |
| 2024 | CVPR | InViG: Benchmarking Open-Ended Interactive Visual Grounding with 500K Dialogues. | Hanbo Zhang, Jie Xu, Yuchen Mo, Tao Kong |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Exploring Target Representations for Masked Autoencoders. | Xingbin Liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji |
| 2024 | ICLR | 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 |
| 2024 | ICRA | Towards Unified Interactive Visual Grounding in The Wild. | Jie Xu, Hanbo Zhang, Qingyi Si, Yifeng Li, Xuguang Lan, Tao Kong |
| 2024 | NAACL | 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 |
| 2023 | ICRA | Learning to Explore Informative Trajectories and Samples for Embodied Perception. | Ya Jing, Tao Kong |
| 2023 | ICRA | Towards Open-World Interactive Disambiguation for Robotic Grasping. | Yuchen Mo, Hanbo Zhang, Tao Kong |
| 2023 | IROS | 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 |
| 2023 | IROS | 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 |
| 2022 | CoRL | Generative Category-Level Shape and Pose Estimation with Semantic Primitives. | Guanglin Li, Yifeng Li, Zhichao Ye, Qihang Zhang, Tao Kong, Zhaopeng Cui, Guofeng Zhang |
| 2022 | EMNLP | Towards Unifying Reference Expression Generation and Comprehension. | Duo Zheng, Tao Kong, Ya Jing, Jiaan Wang, Xiaojie Wang |
| 2022 | ICLR | Image BERT Pre-training with Online Tokenizer. | Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan L. Yuille, Tao Kong |
| 2022 | ICRA | Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets. | Yunfei Li, Tao Kong, Lei Li, Yi Wu |
| 2022 | IROS | Navigating to Objects in Unseen Environments by Distance Prediction. | Minzhao Zhu, Binglei Zhao, Tao Kong |
| 2021 | CVPR | Scale-Aware Automatic Augmentation for Object Detection. | Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia |
| 2021 | CVPR | Locate Then Segment: A Strong Pipeline for Referring Image Segmentation. | Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan |
| 2021 | CVPR | 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 |
| 2021 | CVPR | Dense Contrastive Learning for Self-Supervised Visual Pre-Training. | Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li |
| 2021 | ICML | Adversarial Option-Aware Hierarchical Imitation Learning. | Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, Lei Li |
| 2021 | IROS | Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation. | Yiming Li, Tao Kong, Ruihang Chu, Yifeng Li, Peng Wang, Lei Li |
| 2021 | IROS | Learning to Design and Construct Bridge without Blueprint. | Yunfei Li, Tao Kong, Lei Li, Yifeng Li, Yi Wu |
| 2020 | AAAI | Task-Aware Monocular Depth Estimation for 3D Object Detection. | Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen |
| 2020 | DSAA | Near-duplicated Loss for Accurate Object Localization. | He Liu, Xiaocheng Yang, Huaping Liu, Tao Kong, Fuchun Sun |
| 2020 | ECCV | SOLO: Segmenting Objects by Locations. | Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li |
| 2019 | CVPR | Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination. | Liangzhe Yuan, Yibo Chen, Hantian Liu, Tao Kong, Jianbo Shi |
| 2019 | ICASSP | Attention-based Transfer Learning for Brain-computer Interface. | Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang |
| 2019 | ICONIP | Deep Point-Wise Prediction for Action Temporal Proposal. | Luxuan Li, Tao Kong, Fuchun Sun, Huaping Liu |
| 2018 | ECCV | Deep Feature Pyramid Reconfiguration for Object Detection. | Tao Kong, Fuchun Sun, Wen-bing Huang, Huaping Liu |
| 2018 | ICANN | A Survey on Deep Transfer Learning. | Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu |
| 2018 | IJCNN | Adaptive Adversarial Transfer Learning for Electroencephalography Classification. | Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Tao Kong, Chao Yang, Xinyu Zhang |
| 2017 | CVPR | RON: Reverse Connection with Objectness Prior Networks for Object Detection. | Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Ming Lu, Yurong Chen |
| 2017 | ICRA | A hybrid deep architecture for robotic grasp detection. | Di Guo, Fuchun Sun, Huaping Liu, Tao Kong, Bin Fang, Ning Xi |
| 2016 | CVPR | HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection. | Tao Kong, Anbang Yao, Yurong Chen, Fuchun Sun |
| 2016 | ICRA | Object discovery and grasp detection with a shared convolutional neural network. | Di Guo, Tao Kong, Fuchun Sun, Huaping Liu |
| 2007 | ISCAS | 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 |