no code implementations • 16 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.
no code implementations • 26 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.
no code implementations • 20 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.
no code implementations • 19 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.
no code implementations • 14 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).
no code implementations • 5 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.
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.
no code implementations • 6 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.
no code implementations • 24 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.
no code implementations • 5 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
no code implementations • 4 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).
1 code implementation • 20 Feb 2022 • Hongjia Chen, Fangling Pu, Rui Yang, Rui Tang, Xin Xu
Moreover, current CNN models are heavy in parameters, which prevents their deployment on edge devices such as UAVs.
Change Detection Change detection for remote sensing images +1
no code implementations • 13 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.
1 code implementation • 16 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.
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.
no code implementations • 26 Dec 2020 • Rui Tang
We introduce a new updating rule, the conditional maximum likelihood rule (CML) for updating ambiguous information.
no code implementations • 18 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.
no code implementations • 8 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.
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).
no code implementations • 26 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.
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.
no code implementations • 3 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).
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.