Person

Yinlin Hu

This person is no longer with EPFL

I am a researcher in Computer Vision Lab of EPFL, collaborated with Prof. Pascal Fua and Dr. Mathieu Salzmann. The research areas that I involved and interested include optical flow, motion analysis, and object pose estimation. In 2017, I completed my Ph.D. degree from Xidian University under the supervision of Prof. Yunsong Li and Dr. Rui Song. Before that, I've been working as a senior algorithm engineer and technical leader for nearly 4 years in Zienon, LLC. Please visit my personal homepage https://yinlinhu.github.io for more information.

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https://people.epfl.ch/yinlin.hu

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Related publications (12)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Rigidity-Aware Detection for 6D Object Pose Estimation

Mathieu Salzmann, Yinlin Hu, Jingyu Li, Rui Song

Most recent 6D object pose estimation methods first use object detection to obtain 2D bounding boxes before actually regressing the pose. However, the general object detection methods they use are ill-suited to handle cluttered scenes, thus producing poor ...

Los Alamitos2023

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions

Mathieu Salzmann, Yinlin Hu, Shuxuan Guo

Knowledge distillation facilitates the training of a compact student network by using a deep teacher one. While this has achieved great success in many tasks, it remains completely unstudied for image-based 6D object pose estimation. In this work, we intro ...

Los Alamitos2023

Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation

Mathieu Salzmann, Yinlin Hu, Fulin Liu

Most modern image-based 6D object pose estimation methods learn to predict 2D-3D correspondences, from which the pose can be obtained using a PnP solver. Because of the non-differentiable nature of common PnP solvers, these methods are supervised via the i ...

Ieee Computer Soc2023

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