Search Results for author: Tutian Tang

Found 7 papers, 2 papers with code

MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints

no code implementations16 Apr 2024 Pengfei Xie, Wenqiang Xu, Tutian Tang, Zhenjun Yu, Cewu Lu

To address this, we integrate a musculoskeletal system with a learnable parametric hand model, MANO, to create a new model, MS-MANO.

Pose Tracking

RFTrans: Leveraging Refractive Flow of Transparent Objects for Surface Normal Estimation and Manipulation

no code implementations21 Nov 2023 Tutian Tang, Jiyu Liu, Jieyi Zhang, Haoyuan Fu, Wenqiang Xu, Cewu Lu

By leveraging refractive flow as an intermediate representation, the proposed method circumvents the drawbacks of directly predicting the geometry (e. g. surface normal) from images and helps bridge the sim-to-real gap.

Surface Normal Estimation Transparent objects

GarmentTracking: Category-Level Garment Pose Tracking

1 code implementation CVPR 2023 Han Xue, Wenqiang Xu, Jieyi Zhang, Tutian Tang, Yutong Li, Wenxin Du, Ruolin Ye, Cewu Lu

In this work, we present a complete package to address the category-level garment pose tracking task: (1) A recording system VR-Garment, with which users can manipulate virtual garment models in simulation through a VR interface.

Pose Tracking

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot

no code implementations16 Jun 2022 Li Chen, Tutian Tang, Zhitian Cai, Yang Li, Penghao Wu, Hongyang Li, Jianping Shi, Junchi Yan, Yu Qiao

Equipped with a wide span of sensors, predominant autonomous driving solutions are becoming more modular-oriented for safe system design.

Autonomous Driving

ContourRender: Detecting Arbitrary Contour Shape For Instance Segmentation In One Pass

no code implementations7 Jun 2021 Tutian Tang, Wenqiang Xu, Ruolin Ye, Yan-Feng Wang, Cewu Lu

In addition, we specifically select a subset from COCO val2017 named COCO ContourHard-val to further demonstrate the contour quality improvements.

Instance Segmentation Semantic Segmentation

H2O: A Benchmark for Visual Human-human Object Handover Analysis

no code implementations ICCV 2021 Ruolin Ye, Wenqiang Xu, Zhendong Xue, Tutian Tang, Yanfeng Wang, Cewu Lu

Besides, we also report the hand and object pose errors with existing baselines and show that the dataset can serve as the video demonstrations for robot imitation learning on the handover task.

Imitation Learning Object

Learning Universal Shape Dictionary for Realtime Instance Segmentation

1 code implementation2 Dec 2020 Tutian Tang, Wenqiang Xu, Ruolin Ye, Lixin Yang, Cewu Lu

First, it learns a dictionary from a large collection of shape datasets, making any shape being able to be decomposed into a linear combination through the dictionary.

Explainable Models Instance Segmentation +3

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