no code implementations • 6 May 2024 • Kaiwen Jiang, Yang Fu, Mukund Varma T, Yash Belhe, Xiaolong Wang, Hao Su, Ravi Ramamoorthi
In this paper, we leverage the recent 3D Gaussian splatting method to develop a novel construct-and-optimize method for sparse view synthesis without camera poses.
no code implementations • 18 Mar 2024 • Mengqi Zhang, Yang Fu, Zheng Ding, Sifei Liu, Zhuowen Tu, Xiaolong Wang
In this paper, we propose HOIDiffusion for generating realistic and diverse 3D hand-object interaction data.
no code implementations • 12 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.
no code implementations • 23 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.
no code implementations • 12 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.
no code implementations • 26 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.
1 code implementation • 2 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.
2 code implementations • 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.
1 code implementation • 13 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.
no code implementations • 13 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.
no code implementations • 30 Jun 2022 • Yang Fu, Xiaolong Wang
6D object pose estimation is one of the fundamental problems in computer vision and robotics research.
1 code implementation • 12 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.
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.
no code implementations • 25 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
no code implementations • 17 Dec 2020 • Tiantu Xu, Kaiwen Shen, Yang Fu, Humphrey Shi, Felix Xiaozhu Lin
Object re-identification (ReID) is a key application of city-scale cameras.
1 code implementation • 7 Dec 2020 • Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi
Video instance segmentation is a complex task in which we need to detect, segment, and track each object for any given video.
Ranked #41 on Video Instance Segmentation on YouTube-VIS validation
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).
no code implementations • 9 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
1 code implementation • 14 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.
Ranked #55 on Person Re-Identification on DukeMTMC-reID