Search Results for author: Beiwen Tian

Found 11 papers, 9 papers with code

Key Patch Proposer: Key Patches Contain Rich Information

1 code implementation18 Feb 2024 Jing Xu, Beiwen Tian, Hao Zhao

In this paper, we introduce a novel algorithm named Key Patch Proposer (KPP) designed to select key patches in an image without additional training.

Active Learning Semantic Segmentation

Adaptive Surface Normal Constraint for Geometric Estimation from Monocular Images

no code implementations8 Feb 2024 Xiaoxiao Long, Yuhang Zheng, Yupeng Zheng, Beiwen Tian, Cheng Lin, Lingjie Liu, Hao Zhao, Guyue Zhou, Wenping Wang

We introduce a novel approach to learn geometries such as depth and surface normal from images while incorporating geometric context.

Depth Estimation

Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics

no code implementations10 Jan 2024 Beiwen Tian, Huan-ang Gao, Leiyao Cui, Yupeng Zheng, Lan Luo, Baofeng Wang, Rong Zhi, Guyue Zhou, Hao Zhao

We believe the latter is valuable as it measures whether an anomaly segmentation algorithm can truly prevent a car from crashing in a temporally informed setting.

Autonomous Driving Benchmarking +2

DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection

1 code implementation ICCV 2023 Huan-ang Gao, Beiwen Tian, Pengfei Li, Hao Zhao, Guyue Zhou

While this paradigm is natural for image-level or pixel-level prediction, adapting it to the detection problem is challenged by the issue of proposal matching.

3D Object Detection object-detection +1

Delving into Shape-aware Zero-shot Semantic Segmentation

1 code implementation CVPR 2023 Xinyu Liu, Beiwen Tian, Zhen Wang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao, Guyue Zhou

Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a surprisingly high accuracy.

Image Segmentation Segmentation +2

VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling

1 code implementation20 Oct 2022 Beiwen Tian, Liyi Luo, Hao Zhao, Guyue Zhou

In the first stage, we perform self-supervised representation learning on unlabeled points with the proposed Viewpoint Bottleneck loss function.

Representation Learning Scene Parsing

TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation

1 code implementation19 Oct 2022 Pengfei Li, Beiwen Tian, Yongliang Shi, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang

As such, we study the challenging problem of task oriented detection, which aims to find objects that best afford an action indicated by verbs like sit comfortably on.

Instance Segmentation Referring Expression +2

Language-guided Semantic Style Transfer of 3D Indoor Scenes

1 code implementation16 Aug 2022 Bu Jin, Beiwen Tian, Hao Zhao, Guyue Zhou

We address the new problem of language-guided semantic style transfer of 3D indoor scenes.

Style Transfer

Unsupervised Cross-Task Generalization via Retrieval Augmentation

1 code implementation17 Apr 2022 Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren

Humans can perform unseen tasks by recalling relevant skills acquired previously and then generalizing them to the target tasks, even if there is no supervision at all.

Retrieval

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