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For the first time in more than 20 years! CVPR best student thesis awarded to Chinese college students!
2022-07-01 01:13:00 【Lingyun moment】
The most influential conference in the field of global artificial intelligence CVPR Recently announced , take 2022 year “ Best student paper ” The award was given to chenhansheng, a second year graduate student of Tongji University , This is the first time in more than 20 years that Chinese college students have won this honor . This paper is the result of Chen Hansheng's internship at Alibaba Dharma academy , It combines traditional geometric reasoning and deep learning , Put forward the calculation 3D Object pose ( Position and orientation ) New method of , Can calculate from a single picture 3D The position and orientation of an object in the real world , It is expected to become automatic driving 、 The theoretical impetus for the development of robotics and other technologies .
CVPR( International Conference on computer vision and pattern recognition ) It is the top academic conference in the field of artificial intelligence , This year, we received 8161 Papers submitted , Final acceptance 2064 piece , Only the best thesis and the best student thesis will be selected 1 piece .CVPR The best thesis and the best student thesis are often regarded as AI Technology weathervane , The birth of ResNet And so on .
CVPR As early as 2001 The best student thesis award was established in , This year, it will be distributed to Chinese college students for the first time . Award winning papers 《EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation 》 From the automobile College of Tongji University and Alibaba Dharma Academy , The authors are chenhansheng 、 Wangpichao 、 Wang Fan 、 Tian Wei 、 Xiong Lu 、 Li Hao .

award certificate
The thesis studies 3D Classic problems in the field of vision , Solve through a single image 3D The position and posture of objects in the real world ( Position and orientation ). This technology has a broad application prospect , It's self driving 、 Basic technology of robotics and other industries . For example, in automatic driving , Only calculate the position and posture of the surrounding vehicles first , Judge whether the other party wants to speed up 、 Braking or changing lanes , Only own vehicles can perform corresponding operations , Inaccurate or too slow calculation may lead to accidents .

3D Schematic diagram for calculating the pose of an object
Locate through a single image 3D Objects are very challenging . There are generally two types of solutions :
- One is based on geometric reasoning , for example PnP Algorithm , Good explainability 、 Strong generalization ability , But you need to know the size and shape of the object in advance , It has great limitations ;
- The other is the deep learning method , Predictable 3D Position coordinates and orientation angle of the object , But it is easy to over fit on small data sets .
The new method proposed by the award-winning paper EPro-PnP, Creatively introduced the probability distribution , The two methods of geometric reasoning and deep learning are seamlessly connected , Formed an end-to-end easy-to-use model , Can quickly estimate 3D The pose of an object . Experimental proof , The new model is universal 、 Accurate positioning , There is no need to know the geometry of the object in advance ; More importantly, it is very concise , More efficient , It has good interpretability , It is expected to be used for automatic driving 、 robot 、 Unmanned aerial vehicle (uav) 、AR And many other scenes that need to estimate the pose of objects through vision .

EPro-PnP Method diagram
according to the understanding of , Chen Hansheng, the first author of the paper, studied in the school of automotive engineering, Tongji University , At present, the second grade graduate student is studying , The tutor is Professor Xiong Lu , The associate tutor is assistant professor Tianwei , The tutor of Dharma hall is Dr. wangpichao . His research interests are in computer vision 3D Object pose estimation , The first research has been in CVPR publish one’s thesis .2021 After working as a research intern at the Ali Dharma Institute in , Inspiration comes from daily research and discussion in Dharma hall , Try to construct a unified theoretical framework .“ I thought this paper might be quite popular , Because it is too mathematical , I didn't expect to win the prize .” Chenhansheng said .

Research Intern of Dharma Academy
Chenhansheng, a graduate student of Tongji University, is the first corresponding author of the thesis 、 Dr. wangpichao, an algorithm expert of Dharma Institute, said , What is special about this paper is that it is solved mathematically AI Underlying problems , It has brought a breakthrough in basic theory , Yes 3D The research and application in the field of vision will have a positive impact .“ The core innovation is to change the perspective of mathematics , Introduce probability density , Change a non differentiable function into a differentiable function , So we can train the deep network through back propagation , Finally, stable convergence is achieved , promote 3D Positioning accuracy of objects .”
The research intern is from Alibaba 2017 The scientific research project founded in , Up to now , For the world 200 Many top universities 1000 Many students have provided scientific research positions .
【 Thesis link 】https://arxiv.org/abs/2203.13254
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