Search Results for author: Yang Fu

Found 18 papers, 7 papers with code

Learning Generalizable Feature Fields for Mobile Manipulation

no code implementations12 Mar 2024 Ri-Zhao Qiu, Yafei Hu, Ge Yang, Yuchen Song, Yang Fu, Jianglong Ye, Jiteng Mu, Ruihan Yang, Nikolay Atanasov, Sebastian Scherer, Xiaolong Wang

An open problem in mobile manipulation is how to represent objects and scenes in a unified manner, so that robots can use it both for navigating in the environment and manipulating objects.

Novel View Synthesis

RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos

no code implementations23 Jan 2024 Hongchi Xia, Yang Fu, Sifei Liu, Xiaolong Wang

WildRGB-D comprises large-scale category-level RGB-D object videos, which are taken using an iPhone to go around the objects in 360 degrees.

6D Pose Estimation Novel View Synthesis +2

COLMAP-Free 3D Gaussian Splatting

no code implementations12 Dec 2023 Yang Fu, Sifei Liu, Amey Kulkarni, Jan Kautz, Alexei A. Efros, Xiaolong Wang

While neural rendering has led to impressive advances in scene reconstruction and novel view synthesis, it relies heavily on accurately pre-computed camera poses.

Neural Rendering Novel View Synthesis +1

3D Reconstruction with Generalizable Neural Fields using Scene Priors

no code implementations26 Sep 2023 Yang Fu, Shalini De Mello, Xueting Li, Amey Kulkarni, Jan Kautz, Xiaolong Wang, Sifei Liu

NFP not only demonstrates SOTA scene reconstruction performance and efficiency, but it also supports single-image novel-view synthesis, which is underexplored in neural fields.

3D Reconstruction 3D Scene Reconstruction +1

FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition

1 code implementation2 Sep 2023 Shibei Meng, Yang Fu, Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang

Our toolbox supports a set of cutting-edge pose-based gait recognition algorithms and a variety of related benchmarks.

Gait Recognition

GPGait: Generalized Pose-based Gait Recognition

1 code implementation ICCV 2023 Yang Fu, Shibei Meng, Saihui Hou, Xuecai Hu, Yongzhen Huang

Recent works on pose-based gait recognition have demonstrated the potential of using such simple information to achieve results comparable to silhouette-based methods.

Gait Recognition

Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild

1 code implementation13 Oct 2022 Kaifeng Zhang, Yang Fu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang

While 6D object pose estimation has wide applications across computer vision and robotics, it remains far from being solved due to the lack of annotations.

6D Pose Estimation 6D Pose Estimation using RGB +2

MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Pose

no code implementations13 Oct 2022 Yang Fu, Ishan Misra, Xiaolong Wang

We propose a generalizable neural radiance fields - MonoNeRF, that can be trained on large-scale monocular videos of moving in static scenes without any ground-truth annotations of depth and camera poses.

Depth Estimation Disentanglement +2

DexMV: Imitation Learning for Dexterous Manipulation from Human Videos

1 code implementation12 Aug 2021 Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang

While significant progress has been made on understanding hand-object interactions in computer vision, it is still very challenging for robots to perform complex dexterous manipulation.

Imitation Learning motion retargeting +1

Learning to Track Instances without Video Annotations

no code implementations CVPR 2021 Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz

Tracking segmentation masks of multiple instances has been intensively studied, but still faces two fundamental challenges: 1) the requirement of large-scale, frame-wise annotation, and 2) the complexity of two-stage approaches.

Instance Segmentation Pose Estimation +1

Superconductivity and normal-state properties of kagome metal RbV3Sb5 single crystals

no code implementations25 Jan 2021 Qiangwei Yin, Zhijun Tu, Chunsheng Gong, Yang Fu, Shaohua Yan, Hechang Lei

We report the discovery of superconductivity and detailed normal-state physical properties of RbV3Sb5 single crystals with V kagome lattice.

Superconductivity Materials Science

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification

1 code implementation ICCV 2019 Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas Huang

Upon our SSG, we further introduce a clustering-guided semisupervised approach named SSG ++ to conduct the one-shot domain adaption in an open set setting (i. e. the number of independent identities from the target domain is unknown).

Clustering One-Shot Learning +2

STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification

no code implementations9 Nov 2018 Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang

Thus, a more robust clip-level feature representation can be generated according to a weighted sum operation guided by the mined 2-D attention score matrix.

Large-Scale Person Re-Identification Video-Based Person Re-Identification

Horizontal Pyramid Matching for Person Re-identification

1 code implementation14 Apr 2018 Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas Huang

Despite the remarkable recent progress, person re-identification (Re-ID) approaches are still suffering from the failure cases where the discriminative body parts are missing.

Person Re-Identification

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