Search Results for author: Jialiang Zhang

Found 8 papers, 3 papers with code

UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy

no code implementations CVPR 2023 Yinzhen Xu, Weikang Wan, Jialiang Zhang, Haoran Liu, Zikang Shan, Hao Shen, Ruicheng Wang, Haoran Geng, Yijia Weng, Jiayi Chen, Tengyu Liu, Li Yi, He Wang

Trained on our synthesized large-scale dexterous grasp dataset, this model enables us to sample diverse and high-quality dexterous grasp poses for the object point cloud. For the second stage, we propose to replace the motion planning used in parallel gripper grasping with a goal-conditioned grasp policy, due to the complexity involved in dexterous grasping execution.

Motion Planning

DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation

no code implementations6 Oct 2022 Ruicheng Wang, Jialiang Zhang, Jiayi Chen, Yinzhen Xu, Puhao Li, Tengyu Liu, He Wang

Robotic dexterous grasping is the first step to enable human-like dexterous object manipulation and thus a crucial robotic technology.

End-to-end Weakly-supervised Single-stage Multiple 3D Hand Mesh Reconstruction from a Single RGB Image

1 code implementation18 Apr 2022 Jinwei Ren, Jianke Zhu, Jialiang Zhang

In this paper, we consider the challenging task of simultaneously locating and recovering multiple hands from a single 2D image.

Weakly-Supervised Multi-Face 3D Reconstruction

1 code implementation6 Jan 2021 Jialiang Zhang, Lixiang Lin, Jianke Zhu, Steven C. H. Hoi

3D face reconstruction plays a very important role in many real-world multimedia applications, including digital entertainment, social media, affection analysis, and person identification.

3D Face Reconstruction 3D Reconstruction +3

Attribute-aware Pedestrian Detection in a Crowd

1 code implementation21 Oct 2019 Jialiang Zhang, Lixiang Lin, Yang Li, Yun-chen Chen, Jianke Zhu, Yao Hu, Steven C. H. Hoi

To tackle this critical problem, we propose an attribute-aware pedestrian detector to explicitly model people's semantic attributes in a high-level feature detection fashion.

Pedestrian Detection

Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA

no code implementations CVPR 2018 Jialiang Zhang, Soroosh Khoram, Jing Li

The proposed method significantly outperforms state-of-the-art methods on CPU and GPU for high dimensional nearest neighbor queries on billion-scale datasets in terms of query time and accuracy regardless of the batch size.


Feature Agglomeration Networks for Single Stage Face Detection

no code implementations3 Dec 2017 Jialiang Zhang, Xiongwei Wu, Jianke Zhu, Steven C. H. Hoi

In this paper, we propose a novel simple yet effective framework of "Feature Agglomeration Networks" (FANet) to build a new single stage face detector, which not only achieves state-of-the-art performance but also runs efficiently.

Face Detection

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