Search Results for author: Haozhe Wang

Found 7 papers, 4 papers with code

DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose Estimation

1 code implementation5 Sep 2023 Lei Zhou, Zhiyang Liu, Runze Gan, Haozhe Wang, Marcelo H. Ang Jr

In the second stage, a novel registration network is designed to extract pose-sensitive features and predict the representation of object partial point cloud in canonical space based on the deformation results from the first stage.

6D Pose Estimation using RGB Object +1

Grounded Image Text Matching with Mismatched Relation Reasoning

no code implementations ICCV 2023 Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He

This paper introduces Grounded Image Text Matching with Mismatched Relation (GITM-MR), a novel visual-linguistic joint task that evaluates the relation understanding capabilities of transformer-based pre-trained models.

Image-text matching Relation +2

SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop Scenes

1 code implementation14 Jul 2023 Zhili Ng, Haozhe Wang, Zhengshen Zhang, Francis Tay Eng Hock, Marcelo H. Ang Jr

In this work, we present SynTable, a unified and flexible Python-based dataset generator built using NVIDIA's Isaac Sim Replicator Composer for generating high-quality synthetic datasets for unseen object amodal instance segmentation of cluttered tabletop scenes.

Amodal Instance Segmentation Semantic Segmentation +1

Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning

no code implementations12 Jun 2023 Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng

In this regard, we explore the problem of constrained bidding in adversarial bidding environments, which assumes no knowledge about the adversarial factors.

Meta-Learning reinforcement-learning

PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes

1 code implementation30 Mar 2022 Haozhe Wang, Zhiyang Liu, Lei Zhou, Huan Yin, Marcelo H Ang Jr

Vision-based grasp estimation is an essential part of robotic manipulation tasks in the real world.

Grasp Generation

Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning

no code implementations3 Mar 2020 Haozhe Wang, Jiale Zhou, Xuming He

Despite recent success of deep network-based Reinforcement Learning (RL), it remains elusive to achieve human-level efficiency in learning novel tasks.

Meta-Learning Meta Reinforcement Learning +2

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