Search Results for author: Rui Tang

Found 23 papers, 5 papers with code

Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks

no code implementations16 Oct 2023 Shuyu Jiang, Xingshu Chen, Rui Tang

In this paper, we introduce an innovative technique for obfuscating harmful instructions: Compositional Instruction Attacks (CIA), which refers to attacking by combination and encapsulation of multiple instructions.

Ethics

ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation

no code implementations26 Sep 2023 Zizhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Xiaoquan Wang, Rui Tang, Jian Pu

Monocular depth estimation is challenging due to its inherent ambiguity and ill-posed nature, yet it is quite important to many applications.

Domain Adaptation Knowledge Distillation +2

PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving

no code implementations20 Sep 2023 Zizhang Wu, Xinyuan Chen, Fan Song, Yuanzhu Gan, Tianhao Xu, Jian Pu, Rui Tang

In this paper, wepresent the Parking Pedestrian Dataset (PPD), a large-scale fisheye dataset to support research dealing with real-world pedestrians, especially with occlusions and diverse postures.

Autonomous Driving Data Augmentation +2

LineMarkNet: Line Landmark Detection for Valet Parking

no code implementations19 Sep 2023 Zizhang Wu, Yuanzhu Gan, Tianhao Xu, Rui Tang, Jian Pu

We aim for accurate and efficient line landmark detection for valet parking, which is a long-standing yet unsolved problem in autonomous driving.

Autonomous Driving Line Detection +3

I$^2$-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs

no code implementations14 Mar 2023 Jingsen Zhu, Yuchi Huo, Qi Ye, Fujun Luan, Jifan Li, Dianbing Xi, Lisha Wang, Rui Tang, Wei Hua, Hujun Bao, Rui Wang

In this work, we present I$^2$-SDF, a new method for intrinsic indoor scene reconstruction and editing using differentiable Monte Carlo raytracing on neural signed distance fields (SDFs).

Indoor Scene Reconstruction Novel View Synthesis

Deep Joint Source-Channel Coding for Wireless Image Transmission with Semantic Importance

no code implementations5 Feb 2023 Qizheng Sun, Caili Guo, Yang Yang, Jiujiu Chen, Rui Tang, Chuanhong Liu

Specifically, we first propose semantic importance weight calculation method, which is based on the gradient of intelligent task's perception results with respect to the features.

I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs

no code implementations CVPR 2023 Jingsen Zhu, Yuchi Huo, Qi Ye, Fujun Luan, Jifan Li, Dianbing Xi, Lisha Wang, Rui Tang, Wei Hua, Hujun Bao, Rui Wang

Further, we propose to decompose the neural radiance field into spatially-varying material of the scene as a neural field through surface-based, differentiable Monte Carlo raytracing and emitter semantic segmentations, which enables physically based and photorealistic scene relighting and editing applications.

Indoor Scene Reconstruction Novel View Synthesis

Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing

no code implementations6 Nov 2022 Jingsen Zhu, Fujun Luan, Yuchi Huo, Zihao Lin, Zhihua Zhong, Dianbing Xi, Jiaxiang Zheng, Rui Tang, Hujun Bao, Rui Wang

Indoor scenes typically exhibit complex, spatially-varying appearance from global illumination, making inverse rendering a challenging ill-posed problem.

Inverse Rendering

Deep Joint Source-Channel Coding Based on Semantics of Pixels

no code implementations24 Aug 2022 Qizheng Sun, Caili Guo, Yang Yang, Jiujiu Chen, Rui Tang, Chuanhong Liu

The semantic information of the image for intelligent tasks is hidden behind the pixels, and slight changes in the pixels will affect the performance of intelligent tasks.

ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive Summarization

no code implementations5 Mar 2022 Shuyu Jiang, Dengbiao Tu, Xingshu Chen, Rui Tang, Wenxian Wang, Haizhou Wang

Therefore, we first propose a clue-guided cross-lingual abstractive summarization method to improve the quality of cross-lingual summaries, and then construct a novel hand-written CLS dataset for evaluation.

Abstractive Text Summarization Cross-Lingual Abstractive Summarization +2

Detecting Offensive Language on Social Networks: An End-to-end Detection Method based on Graph Attention Networks

no code implementations4 Mar 2022 Zhenxiong Miao, Xingshu Chen, Haizhou Wang, Rui Tang, Zhou Yang, Wenyi Tang

In this paper, we propose an end-to-end method based on community structure and text features for offensive language detection (CT-OLD).

Graph Attention

MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis

no code implementations13 Jul 2021 Haocheng Ren, Hao Zhang, Jia Zheng, Jiaxiang Zheng, Rui Tang, Yuchi Huo, Hujun Bao, Rui Wang

With the rapid development of data-driven techniques, data has played an essential role in various computer vision tasks.

2D Semantic Segmentation Depth Estimation +1

Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image

1 code implementation16 Apr 2021 Cheng Yang, Jia Zheng, Xili Dai, Rui Tang, Yi Ma, Xiaojun Yuan

Single-image room layout reconstruction aims to reconstruct the enclosed 3D structure of a room from a single image.

Room Layout Estimation

Layout-Guided Novel View Synthesis from a Single Indoor Panorama

1 code implementation CVPR 2021 Jiale Xu, Jia Zheng, Yanyu Xu, Rui Tang, Shenghua Gao

Then, we leverage the room layout prior, a strong structural constraint of the indoor scene, to guide the generation of target views.

Novel View Synthesis

A Theory of Updating Ambiguous Information

no code implementations26 Dec 2020 Rui Tang

We introduce a new updating rule, the conditional maximum likelihood rule (CML) for updating ambiguous information.

Improving adversarial robustness of deep neural networks by using semantic information

no code implementations18 Aug 2020 Li-Na Wang, Rui Tang, Yawei Yue, Xingshu Chen, Wei Wang, Yi Zhu, Xuemei Zeng

The vulnerability of deep neural networks (DNNs) to adversarial attack, which is an attack that can mislead state-of-the-art classifiers into making an incorrect classification with high confidence by deliberately perturbing the original inputs, raises concerns about the robustness of DNNs to such attacks.

Adversarial Attack Adversarial Robustness

Assessing the Impact of COVID-19 on the Objective and Analysis of Oncology Clinical Trials -- Application of the Estimand Framework

no code implementations8 Jun 2020 Evgeny Degtyarev, Kaspar Rufibach, Yue Shentu, Godwin Yung, Michelle Casey, Stefan Englert, Feng Liu, Yi Liu, Oliver Sailer, Jonathan Siegel, Steven Sun, Rui Tang, Jiangxiu Zhou

We identify key intercurrent events that may occur due to COVID-19 in oncology clinical trials with a focus on time-to-event endpoints and discuss considerations pertaining to the other estimand attributes introduced in the ICH E9 addendum.

valid

Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only

1 code implementation CVPR 2020 Qi Chen, Qi Wu, Rui Tang, Yu-Han Wang, Shuai Wang, Mingkui Tan

To this end, we propose a House Plan Generative Model (HPGM) that first translates the language input to a structural graph representation and then predicts the layout of rooms with a Graph Conditioned Layout Prediction Network (GC LPN) and generates the interior texture with a Language Conditioned Texture GAN (LCT-GAN).

Text to 3D

Dam Burst: A region-merging-based image segmentation method

no code implementations26 Feb 2020 Rui Tang, Wenlong Song, Xiaoping Guan, Huibin Ge, Deke Kong

Until now, all single level segmentation algorithms except CNN-based ones lead to over segmentation.

Edge Detection Image Segmentation +2

Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

1 code implementation ECCV 2020 Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou

Recently, there has been growing interest in developing learning-based methods to detect and utilize salient semi-global or global structures, such as junctions, lines, planes, cuboids, smooth surfaces, and all types of symmetries, for 3D scene modeling and understanding.

Room Layout Estimation

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset

no code implementations3 Sep 2018 Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, Stefan Leutenegger

Datasets have gained an enormous amount of popularity in the computer vision community, from training and evaluation of Deep Learning-based methods to benchmarking Simultaneous Localization and Mapping (SLAM).

Benchmarking Simultaneous Localization and Mapping

Optical Flow Estimation Using Laplacian Mesh Energy

no code implementations CVPR 2013 Wenbin Li, Darren Cosker, Matthew Brown, Rui Tang

In this paper we present a novel non-rigid optical flow algorithm for dense image correspondence and non-rigid registration.

Optical Flow Estimation

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