Search Results for author: Danyang Zhang

Found 8 papers, 5 papers with code

Rotation-robust Intersection over Union for 3D Object Detection

no code implementations ECCV 2020 Yu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie zhou

In this paper, we propose a Rotation-robust Intersection over Union ($ extit{RIoU}$) for 3D object detection, which aims to jointly learn the overlap of rotated bounding boxes.

3D Object Detection Object +1

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

no code implementations11 Apr 2024 Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu

Autonomous agents that accomplish complex computer tasks with minimal human interventions have the potential to transform human-computer interaction, significantly enhancing accessibility and productivity.

Benchmarking

Large Language Models Are Semi-Parametric Reinforcement Learning Agents

1 code implementation NeurIPS 2023 Danyang Zhang, Lu Chen, Situo Zhang, Hongshen Xu, Zihan Zhao, Kai Yu

By equipping the LLM with a long-term experience memory, REMEMBERER is capable of exploiting the experiences from the past episodes even for different task goals, which excels an LLM-based agent with fixed exemplars or equipped with a transient working memory.

Language Modelling Large Language Model +1

Mobile-Env: An Evaluation Platform and Benchmark for LLM-GUI Interaction

1 code implementation14 May 2023 Danyang Zhang, Hongshen Xu, Zihan Zhao, Lu Chen, Ruisheng Cao, Kai Yu

A GUI task set based on WikiHow app is collected on Mobile-Env to form a benchmark covering a range of GUI interaction capabilities.

Language Modelling

Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition

1 code implementation17 Jul 2022 Yansong Tang, Xingyu Liu, Xumin Yu, Danyang Zhang, Jiwen Lu, Jie zhou

Different from the conventional adversarial learning-based approaches for UDA, we utilize a self-supervision scheme to reduce the domain shift between two skeleton-based action datasets.

Action Recognition Self-Supervised Learning +2

COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis

no code implementations CVPR 2019 Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie zhou

There are substantial instructional videos on the Internet, which enables us to acquire knowledge for completing various tasks.

Action Detection

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