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Intro
- I am a research scientist in ByteDance Research.
- At ByteDance, I lead research programs on developing next-generation robot techniques and systems to perform intelligent perception, action, and interaction in the real world. I received my Ph.D. from Tsinghua University, advised by Fuchun Sun. I visited the University of Pennsylvania, working with Jianbo Shi. I also spent great internship time at Intel Labs, Microsoft Research Asia and ByteDance. I am the recipient of the CAAI Excellent Doctoral Dissertation Nomination Award 2020, IROS Robotic Grasping and Manipulation Competition Winner Award 2016, and Habitat ObjectNav Challenge Winner Award 2022.
- We are recruiting interns / full-time researchers and engineers in robotics. If you are interested in these positions, please drop me an email.
News
- [06/2023] We have two papers accepted by IROS 2023. Congratulations!
- [03/2023] We have two papers accepted by ICRA 2023. Congratulations!
- [11/2022] We won the first place in Habitat ObjectNav Challenge 2022. Congratulations!
- [10/2022] One paper about reference expression generation and comprehension got accepted by EMNLP 2022.
- [09/2022] One paper about category-level shape and pose estimation got accepted by CoRL 2022.
- [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!
- [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%)!
Some Publications (Full List)
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Visual-Force Imitation for Real-World Mobile Manipulation
Taozheng Yang, Ya Jing, Hongtao Wu, Jiafeng Xu, Kuankuan Sima, Guangzeng Chen, Qie Sima, Tao Kong
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
[Project][Paper]
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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
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
[Project][Paper]
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Learning to Explore Informative Trajectories and Samples for Embodied Perception
Ya Jing, Tao Kong
IEEE International Conference on Robotics and Automation (ICRA), 2023
[Paper][Project]
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Towards Open-World Interactive Disambiguation for Robotic Grasping
Yuchen Mo, Hanbo Zhang, Tao Kong
IEEE International Conference on Robotics and Automation (ICRA), 2023
[Paper][Project]
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Self-Supervised Learning by Estimating Twin Class Distribution
Feng Wang, Tao Kong, Rufeng Zhang, Huaping Liu, Hang Li
IEEE Trans. on Image Processing (TIP), 2023
[Paper][Code]
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Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets
Yunfei Li, Tao Kong, Lei Li, Yi Wu
IEEE International Conference on Robotics and Automation (ICRA), 2022
[Paper][Project]
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Navigating to Objects in Unseen Environments by Distance Prediction
Minzhao Zhu, Binglei Zhao, Tao Kong
Our base method to win the Habitat ObjectNav Challenge 2022.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 (Oral)
[Paper]
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iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille and Tao Kong
Among the Most Influential ICLR Papers in Google Scholar Metrics 2023
International Conference on Learning Representations (ICLR), 2022
[Paper][Code]
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SOLOv2: Dynamic and Fast Instance Segmentation
Xinlong Wang, Rufeng Zhang, Tao Kong, Lei Li and Chunhua Shen
Among the Most Influential NeurIPS Papers in Google Scholar Metrics 2023
Conference on Neural Information Processing Systems (NeurIPS), 2020
[Paper][Code]
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SOLO: Segmenting Objects by Locations
Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang and Lei Li
Among the Most Influential ECCV Papers in Google Scholar Metrics 2022/2023
European Conference on Computer Vision (ECCV), 2020
[Project][Paper][Code]
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FoveaBox: Beyond Anchor-based Object Detector
Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Lei Li, Jianbo Shi
ESI Highly Cited Paper (Top 1%).
Among the Most Influential TIP Papers in Google Scholar Metrics 2023
IEEE Trans. on Image Processing (TIP), 2020
[Project][Paper][Code]
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RON: Reverse Connection with Objectness Prior Networks for Object Detection
Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Yurong Chen, Ming Lu
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2017
[Paper][Code]
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HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
Tao Kong, Anbang Yao, Yurong Chen, Fuchun Sun
Among the Most Influential CVPR Papers in Google Scholar Metrics 2021
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2016 (Spotlight)
[Paper]
Honors & Awards
- Habitat ObjectNav Challenge Winner Award 2022
- CAAI Excellent Doctoral Dissertation Nomination Award, 2020
- IROS Robotic Grasping and Manipulation Competition Winner Award 2016
- The CCF Outstanding Undergraduate Award, 2013
- University Young Science Award, 2013
- National Scholarship, 2012/2013
Last update: July, 2023