Search Results for author: Yuchen Yang

Found 22 papers, 12 papers with code

Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation

1 code implementation12 Dec 2023 Yuchen Yang, Yu Qiao, Xiao Sun

Automatic estimation of 3D human pose from monocular RGB images is a challenging and unsolved problem in computer vision.

3D Pose Estimation

Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning

no code implementations7 Oct 2023 Yuchen Yang, Houqiang Li, Yanfeng Wang, Yu Wang

In this study, we introduce an uncertainty-aware in-context learning framework to empower the model to enhance or reject its output in response to uncertainty.

Hallucination In-Context Learning +1

CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation

no code implementations17 Sep 2023 Chen Jiang, Yuchen Yang, Martin Jagersand

To generate high-quality segmentation predictions from referring expressions, we propose CLIPUNetr - a new CLIP-driven referring expression segmentation network.

Referring Expression Referring Expression Segmentation +2

SneakyPrompt: Jailbreaking Text-to-image Generative Models

1 code implementation20 May 2023 Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao

Text-to-image generative models such as Stable Diffusion and DALL$\cdot$E raise many ethical concerns due to the generation of harmful images such as Not-Safe-for-Work (NSFW) ones.

Reinforcement Learning (RL) Semantic Similarity +1

SGL: Structure Guidance Learning for Camera Localization

no code implementations12 Apr 2023 Xudong Zhang, Shuang Gao, Xiaohu Nan, Haikuan Ning, Yuchen Yang, Yishan Ping, Jixiang Wan, Shuzhou Dong, Jijunnan Li, Yandong Guo

Camera localization is a classical computer vision task that serves various Artificial Intelligence and Robotics applications.

Camera Localization Visual Localization

HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction

1 code implementation15 Nov 2022 Youru Li, Zhenfeng Zhu, Xiaobo Guo, Shaoshuai Li, Yuchen Yang, Yao Zhao

Moreover, the hierarchical representations at both instance level and channel level can be coordinated by the heterogeneous information aggregation under the guidance of global view.

Graph Embedding Representation Learning +1

A Real-Time Fusion Framework for Long-term Visual Localization

no code implementations18 Oct 2022 Yuchen Yang, Xudong Zhang, Shuang Gao, Jixiang Wan, Yishan Ping, Yuyue Liu, Jijunnan Li, Yandong Guo

In this paper, we present an efficient client-server visual localization architecture that fuses global and local pose estimations to realize promising precision and efficiency.

Visual Localization

Multi-modal Graph Learning for Disease Prediction

1 code implementation11 Mar 2022 Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Zhenyu Guo, Yang Liu, Yuchen Yang, Yao Zhao

For disease prediction tasks, most existing graph-based methods tend to define the graph manually based on specified modality (e. g., demographic information), and then integrated other modalities to obtain the patient representation by Graph Representation Learning (GRL).

Disease Prediction Graph Learning +1

FCNet: A Convolutional Neural Network for Arbitrary-Length Exposure Estimation

1 code implementation5 Mar 2022 Jin Liang, Yuchen Yang, Anran Zhang, Jun Xu, Hui Li, XianTong Zhen

For image exposure enhancement, the tasks of Single-Exposure Correction (SEC) and Multi-Exposure Fusion (MEF) are widely studied in the image processing community.

Pose Refinement with Joint Optimization of Visual Points and Lines

no code implementations8 Oct 2021 Shuang Gao, Jixiang Wan, Yishan Ping, Xudong Zhang, Shuzhou Dong, Yuchen Yang, Haikuan Ning, Jijunnan Li, Yandong Guo

High-precision camera re-localization technology in a pre-established 3D environment map is the basis for many tasks, such as Augmented Reality, Robotics and Autonomous Driving.

Autonomous Driving

Practical Blind Membership Inference Attack via Differential Comparisons

1 code implementation5 Jan 2021 Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao

The success of the former heavily depends on the quality of the shadow model, i. e., the transferability between the shadow and the target; the latter, given only blackbox probing access to the target model, cannot make an effective inference of unknowns, compared with MI attacks using shadow models, due to the insufficient number of qualified samples labeled with ground truth membership information.

Inference Attack Membership Inference Attack

Big-Data Clustering: K-Means or K-Indicators?

1 code implementation3 Jun 2019 Feiyu Chen, Yuchen Yang, Liwei Xu, Taiping Zhang, Yin Zhang

The K-means algorithm is arguably the most popular data clustering method, commonly applied to processed datasets in some "feature spaces", as is in spectral clustering.


Efficient Traffic-Sign Recognition with Scale-aware CNN

no code implementations31 May 2018 Yuchen Yang, Shuo Liu, Wei Ma, Qiuyuan Wang, Zheng Liu

The paper presents a Traffic Sign Recognition (TSR) system, which can fast and accurately recognize traffic signs of different sizes in images.

General Classification Traffic Sign Recognition

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