Hongtao Wen (文洪涛)

Hongtao Wen (文洪涛)
Master's Student

School of Information and Communication Engineering, Dalian University of Technology

Location: No.2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, China
Research Interest | Education and Intern | Publications | Projects | Skills | Honors & Awards | Misc

Email: ht.wen@outlook.com (primary) wenht@mail.dlut.edu.cn
[CV_HWen.pdf] [GitHub] [Google Scholar] [CSDN] [Wechat]

Research Interest

I work in the field of Robotics, Computer Vision and Deep Learning.
Currently, I focus on the following research topics:

Robotic Perception
Category-Level 6D Object Pose Estimation
6DoF Grasp Pose Estimation

Education and Intern

2022.3-2022.6 AI Research Intern in Gongyuan Sanqian Technology Co., Ltd.
2020.9-NOW M.E. in SICE, Dalian University of Technology. Academic GPA 87.6/100
2016.9-2020.6 B.E. in SICE, Dalian University of Technology. GPA 87.3/100, top 10%

Publications

Conferences:

TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance
Hongtao Wen*, Jianhang Yan*, Wanli Peng, Yi Sun
European Conference on Computer Vision 2022 (ECCV 2022), * indicates equal contribution.
Webpage / Code / PDF

We propose TransGrasp, a category-level grasp pose estimation method that predicts grasp poses of a category of objects by labeling only one object instance.

Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation
Wanli Peng, Jianhang Yan, Hongtao Wen, Yi Sun
Thirty-sixth AAAI Conference on Artificial Intelligence (AAAI 2022)
Webpage / Introduction Video / Code / PDF

We present a self-supervised method for category-level 6D pose estimation, SSC-6D, which can predict unseen object poses without explicit pose annotations and exact 3D models in real scenarios for training.

Patents:

Updaing ...

Projects

Research Projects:

These videos demonstrate some specific cases where TransGrasp predicts robust grasp poses for robotic manipulation.


Robot Demonstration: robot-assisted watering mobility-impaired individuals.	Robot Demonstration: autonomously pouring water from cup into bowl.	Robot Demonstration: autonomously grasping household objects.

Open-Source Projects:

Vision-Based Robotic Grasping: A continuously updated summary of papers related to vision-based grasping, where I help to write a convenient program to automatically download these papers without human interference.
Paddle ViT Tutorial: The repository provides demonstration codes for researchers to implement Vision Transformer(ViT) using an industrial deep learning framework called PaddlePaddle step by step.
Paddle PiT: An unofficial repository implemented by PaddlePaddle of Spatial Dimensions of Vision Transformers, which is a Pooling-based Vision Transformer (PiT).
Paddle GreedyHash: An unofficial repository implemented by PaddlePaddle of Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN, which aims to tackle the NP hard problem in Deep Hashing.
Paddle HashNet: An unofficial repository implemented by PaddlePaddle of HashNet: Deep Learning to Hash by Continuation, which is a novel deep architecture for deep learning to hash by continuation method with convergence guarantees.
More open-source contents can be found on GitHub and 百度 AI Studio.

Skills

Excellent in project analysis, implementation and coordination.
Language: Chinese (native proficiency) & English (proficiency, IELTS score 7.0).
Programming language: Python, C++, C.
In-depth knowledge of Robotics, Computer Vision and Deep Learning.
Familiar with deep learning frameworks: PyTorch, PaddlePaddle.
Familiar with the programming of robot ROS system.
Self-motivated with passion for researches and technologies.

Honors & Awards

2022, Outstanding Graduate Student of DLUT.
2021&2022, First Prize Scholarship of DLUT.
2022, Champion on 3 tracks of Research Re-implementation Challenge by PaddlePaddle.
2021, Top 1% on 2 tracks of Challenge of Xunfei AI Recognition Algorithm.
2021, Top 1% on 3 tracks of Challenge of Guangdong Intelligent Recognition Algorithm.
2020, Top 1.5% on Guangdong Industrial Intelligent Manufacturing Innovation Contest -Intelligent Algorithm Tournament.
2020, Outstanding Graduate of Liaoning Province.
2020, Outstanding Graduate of DLUT.
2019, China Aerospace Science and Technology Corporation Scholarship.
2018, Huawei Scholarship.
2017, First Prize Scholarship of Lingshui.
2017, Second Prize in Mathematics Competition of Dalian.
2017&2018&2019, Outstanding Merit Student of DLUT.

Misc

Swimming (breaststroke). I won the 4th place in the final of DLUT swimming competition.
Mountain climbing. Mountains and hills are everywhere in Dalian.
Folk dance. I have participated in DLUT art performance (Fenglan Cup) for 3 times.