 |
|
Intro
- I am a Senior Researcher at ByteDance AI Lab.
- At ByteDance, I lead research programs on developing next-generation robot techniques and systems. My research mission is to develop robot techniques and systems to perform intelligent perception, action, and interaction in real-world. I received my Ph.D. degree from Tsinghua University, advised by Fuchun Sun. During my Ph.D. study, I visited the University of Pennsylvania, working with Jianbo Shi. I also interned at Intel Labs, Microsoft Research Asia and ByteDance. My thesis was nominated as CAAI Excellent Doctoral Dissertation Award 2020.
- We are recruiting interns / full-time researchers and developers in robotics. If you are interested in these positions, please drop me an email.
News
- [06/2022] We have two papers accepted by IROS 2022, and one paper accepted by RAL. Congratulations!
- [04/2022] Our journal extention of SA-AutoAug got accepted by TPAMI!
- [02/2022] Our improved bridge construction work got accepted by ICRA 2022, supporting varying-sized materials with Prioritized Memory Resets!
- [01/2022] iBOT got accepted by ICLR 2022, setting new SOTAs on ImageNet linear acc (82.3%), fine-tuning acc (87.8%), as well as unsupervised ARI (32.8%)!
- [08/2021] Our journal extention of SOLO got accepted by TPAMI!
- [08/2021] ICM-3D got accepted to RA-L, about 3D point clouds segmentation.
- [07/2021] Two papers are accepted to IROS 2021, about 6-DoF grasp pose estimation and autonomous assembly.
- [03/2021] Four papers are accepted to CVPR 2021, and DenseCL is selected as the Oral presentation!
- [01/2021] Organizing a tutorial Recent Progress on Visual Object Detection and Segmentation at ICIP 2021.
Selected Publications
(*Interns at ByteDance)-
Navigating to Objects in Unseen Environments by Distance Prediction
Minzhao Zhu, Binglei Zhao, Tao Kong
IROS 2022. (Oral) [Paper]
-
3D Part Assembly Generation with Instance Encoded Transformer
Rufeng Zhang*, Tao Kong, Weihao Wang, Xuan Han and Mingyu You
IROS (Oral), IEEE Robotics and Automation Letters (RA-L) 2022. [Paper]
-
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets
Yunfei Li*, Tao Kong, Lei Li and Yi Wu
ICRA 2022. (Oral) [Paper][Project][Code]
-
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou*, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille and Tao Kong
ICLR 2022. [Paper][Code]
New SOTAs on ImageNet-1k linear-probing, fine-tuning, as well as unsupervised classification protocols.
-
SOLO: A Simple Framework for Instance Segmentation
Xinlong Wang*, Rufeng Zhang*, Chunhua Shen, Tao Kong and Lei Li
IEEE Trans. on Pattern Analysis and Machine Intelligence 2021. [Paper][Code]
-
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
Ruihang Chu*, Yukang Chen*, Tao Kong, Lu Qi and Lei Li
IEEE Robotics and Automation Letters (RA-L) 2021. [Paper]
-
Learning to Design and Construct Bridge without Blueprint
Yunfei Li*, Tao Kong, Lei Li, Yifeng Li and Yi Wu
IROS 2021. (Oral) [Paper]
-
Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation
Yiming Li*, Tao Kong, Ruihang Chu*, Yifeng Li, Peng Wang and Lei Li
IROS 2021. (Oral) [Paper]
-
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang*, Rufeng Zhang*, Chunhua Shen, Tao Kong and Lei Li
CVPR 2021. (Oral) [Paper][Code]
-
Scale-aware Automatic Augmentation for Object Detection
Yukang Chen*, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu*, Lei Li and Jiaya Jia
CVPR 2021. [Paper][Code]
-
SOLOv2: Dynamic and Fast Instance Segmentation
Xinlong Wang*, Rufeng Zhang*, Tao Kong, Lei Li and Chunhua Shen
NeurIPS 2020. [Paper][Code]
NeurIPS 2020 Key Research Papers in Computer Vision.
-
SOLO: Segmenting Objects by Locations
Xinlong Wang*, Tao Kong, Chunhua Shen, Yuning Jiang and Lei Li
ECCV 2020. [Project][Paper][Code]
Among the Most Influential ECCV Papers in Google Scholar Metrics 2022
-
FoveaBox: Beyond Anchor-based Object Detector
Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Lei Li, Jianbo Shi
IEEE Trans. on Image Processing 2020. [Project][Paper][Code]
ESI Highly Cited Paper (Top 1%) 2021
-
Feature Pyramid Reconfiguration with Consistent Loss for Object Detection
Tao Kong, Fuchun Sun, Wenbing Huang, Chuanqi Tan, Bin Fang, Huaping Liu
IEEE Trans. on Image Processing 2019. [Paper]
-
Deep Feature Pyramid Reconfiguration for Object Detection
Tao Kong, Fuchun Sun, Chuanqi Tan, Huaping Liu, Wenbing Huang
ECCV 2018. [Paper][Poster]
-
RON: Reverse Connection with Objectness Prior Networks for Object Detection
Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Yurong Chen, Ming Lu
CVPR 2017. [Paper][Code]
-
HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
Tao Kong, Anbang Yao, Yurong Chen, Fuchun Sun
CVPR 2016. (Spotlight) [Paper]
Among the Most Influential CVPR Papers in Google Scholar Metrics 2021
Honors & Awards
- CAAI Excellent Doctoral Dissertation Nomination Award, 2020
- Outstanding Graduate Award, 2019
- CSC Scholarship, 2018
- The 1st place of IROS Robotic Grasping and Manipulation Competition, 2016
- Intel Division Recognition Award, 2016
- Outstanding Graduate Award, 2014
- The CCF Outstanding Undergraduate Award, 2013
- IBM Excellence Scholarship, 2013
- Young Science Award, 2013
- National Scholarship, 2012/2013
Last update: April, 2022