Kong, Tao

23 publications

NeurIPS 2025 BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models Peiyan Li, Yixiang Chen, Hongtao Wu, Xiao Ma, Xiangnan Wu, Yan Huang, Liang Wang, Tao Kong, Tieniu Tan

NeurIPS 2025 Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation Wenbo Zhang, Tianrun Hu, Hanbo Zhang, Yanyuan Qiao, Yuchu Qin, Yang Li, Jiajun Liu, Tao Kong, Lingqiao Liu, Xiao Ma

NeurIPS 2025 Flow-Based Policy for Online Reinforcement Learning Lei Lv, Yunfei Li, Yu Luo, Fuchun Sun, Tao Kong, Jiafeng Xu, Xiao Ma

NeurIPS 2025 Human-Assisted Robotic Policy Refinement via Action Preference Optimization Wenke Xia, Yichu Yang, Hongtao Wu, Xiao Ma, Tao Kong, Di Hu

ICCV 2025 IRASim: A Fine-Grained World Model for Robot Manipulation Fangqi Zhu, Hongtao Wu, Song Guo, Yuxiao Liu, Chilam Cheang, Tao Kong

ICLR 2024 Exploring Target Representations for Masked Autoencoders Xingbin Liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji

CVPRW 2024 InViG: Benchmarking Open-Ended Interactive Visual Grounding with 500k Dialogues Hanbo Zhang, Jie Xu, Yuchen Mo, Tao Kong

ICLR 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

ICLR 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

CoRL 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

ICLR 2022 Image BERT Pre-Training with Online Tokenizer Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille, Tao Kong

ICML 2021 Adversarial Option-Aware Hierarchical Imitation Learning Mingxuan Jing, Wenbing Huang, Fuchun Sun, Xiaojian Ma, Tao Kong, Chuang Gan, Lei Li

CVPR 2021 Dense Contrastive Learning for Self-Supervised Visual Pre-Training Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li

CVPR 2021 Locate Then Segment: A Strong Pipeline for Referring Image Segmentation Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan

CVPR 2021 Scale-Aware Automatic Augmentation for Object Detection Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia

CVPR 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

ICLR 2020 FoveaBox: Beyound Anchor-Based Object Detection Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Lei Li, Jianbo Shi

ECCV 2020 SOLO: Segmenting Objects by Locations Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li

NeurIPS 2020 SOLOv2: Dynamic and Fast Instance Segmentation Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li, Chunhua Shen

AAAI 2020 Task-Aware Monocular Depth Estimation for 3D Object Detection Xinlong Wang, Wei Yin, Tao Kong, Yuning Jiang, Lei Li, Chunhua Shen

ECCV 2018 Deep Feature Pyramid Reconfiguration for Object Detection Tao Kong, Fuchun Sun, Chuanqi Tan, Huaping Liu, Wenbing Huang

CVPR 2017 RON: Reverse Connection with Objectness Prior Networks for Object Detection Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Ming Lu, Yurong Chen

CVPR 2016 HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection Tao Kong, Anbang Yao, Yurong Chen, Fuchun Sun