no code implementations • 21 Apr 2024 • Yuxin Wang, Qianyi Wu, Guofeng Zhang, Dan Xu
This paper tackles the intricate challenge of object removal to update the radiance field using the 3D Gaussian Splatting.
1 code implementation • 15 Mar 2024 • Xinrun Xu, Yuxin Wang, Chaoyi Xu, Ziluo Ding, Jiechuan Jiang, Zhiming Ding, Börje F. Karlsson
The swift evolution of Large-scale Models (LMs), either language-focused or multi-modal, has garnered extensive attention in both academy and industry.
no code implementations • 28 Feb 2024 • Qingfeng Ji, Yuxin Wang, Letong Sun
In the field of computer vision, MLP-Mixer is noted for its ability to extract data information from both channel and token perspectives, effectively acting as a fusion of channel and token information.
Ranked #1 on Environmental Sound Classification on UrbanSound8K
Environmental Sound Classification Speech Emotion Recognition
no code implementations • 4 Feb 2024 • Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song
Due to the inability to receive signals from the Global Navigation Satellite System (GNSS) in extreme conditions, achieving accurate and robust navigation for Unmanned Aerial Vehicles (UAVs) is a challenging task.
no code implementations • 5 Dec 2023 • Fanfei Meng, LeLe Zhang, Yu Chen, Yuxin Wang
Transformer requires a fixed number of layers and heads which makes them inflexible to the complexity of individual samples and expensive in training and inference.
no code implementations • 30 Nov 2023 • Fanfei Meng, LeLe Zhang, Yu Chen, Yuxin Wang
Federated learning (FL) is an emerging paradigm for decentralized training of machine learning models on distributed clients, without revealing the data to the central server.
no code implementations • 30 Nov 2023 • Fanfei Meng, Yuxin Wang, LeLe Zhang, Yingxin Zhao
This paper first introduces three common logical circuit decision criteria in hard decisions and analyzes their decision rigor.
no code implementations • 30 Nov 2023 • Yuxin Wang, Fanfei Meng, Xiaotian Wang, Chaoyu Xie
Due to the necessary security for the airport and flight, passengers are required to have strict security check before getting aboard.
no code implementations • 14 Oct 2023 • Yuxin Wang, Xiannian Hu, Quan Gan, Xuanjing Huang, Xipeng Qiu, David Wipf
Graph neural networks (GNNs) for link prediction can loosely be divided into two broad categories.
1 code implementation • 8 Oct 2023 • Zixiao Wang, Hongtao Xie, Yuxin Wang, Jianjun Xu, Boqiang Zhang, Yongdong Zhang
In this paper, we explore the potential of the Contrastive Language-Image Pretraining (CLIP) model in scene text recognition (STR), and establish a novel Symmetrical Linguistic Feature Distillation framework (named CLIP-OCR) to leverage both visual and linguistic knowledge in CLIP.
no code implementations • 18 Sep 2023 • Yihua Ma, Zhifeng Yuan, Shuqiang Xia, Chen Bai, Zhongbin Wang, Yuxin Wang
In this paper, the ISAC system employs dedicated sensing signals, which can be reused as the communication reference signal.
no code implementations • 3 Sep 2023 • Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu
The rapid growth of memory and computation requirements of large language models (LLMs) has outpaced the development of hardware, hindering people who lack large-scale high-end GPUs from training or deploying LLMs.
no code implementations • ICCV 2023 • Yuxin Wang, Wayne Wu, Dan Xu
State-of-the-art methods in this direction typically consider building separate networks for these two tasks (i. e., view synthesis and editing).
1 code implementation • 16 Jun 2023 • Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf
Hypergraphs are a powerful abstraction for representing higher-order interactions between entities of interest.
1 code implementation • NeurIPS 2023 • Dongwei Pan, Long Zhuo, Jingtan Piao, Huiwen Luo, Wei Cheng, Yuxin Wang, Siming Fan, Shengqi Liu, Lei Yang, Bo Dai, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Kwan-Yee Lin
It is a large-scale digital library for head avatars with three key attributes: 1) High Fidelity: all subjects are captured by 60 synchronized, high-resolution 2K cameras in 360 degrees.
1 code implementation • 9 May 2023 • Boqiang Zhang, Hongtao Xie, Yuxin Wang, Jianjun Xu, Yongdong Zhang
Vision model have gained increasing attention due to their simplicity and efficiency in Scene Text Recognition (STR) task.
1 code implementation • 3 Mar 2023 • Zhenheng Tang, Xiaowen Chu, Ryan Yide Ran, Sunwoo Lee, Shaohuai Shi, Yonggang Zhang, Yuxin Wang, Alex Qiaozhong Liang, Salman Avestimehr, Chaoyang He
It improves the training efficiency, remarkably relaxes the requirements on the hardware, and supports efficient large-scale FL experiments with stateful clients by: (1) sequential training clients on devices; (2) decomposing original aggregation into local and global aggregation on devices and server respectively; (3) scheduling tasks to mitigate straggler problems and enhance computing utility; (4) distributed client state manager to support various FL algorithms.
1 code implementation • CVPR 2023 • Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu
Recent advances in modeling 3D objects mostly rely on synthetic datasets due to the lack of large-scale realscanned 3D databases.
no code implementations • 13 Jan 2023 • Yuxin Wang, Zheng Xing, Wei W. Xing
In many scientific research and engineering applications where repeated simulations of complex systems are conducted, a surrogate is commonly adopted to quickly estimate the whole system.
2 code implementations • 19 Dec 2022 • Zhangyue Yin, Yuxin Wang, Xiannian Hu, Yiguang Wu, Hang Yan, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
Multi-Hop Question Answering (MHQA) is a significant area in question answering, requiring multiple reasoning components, including document retrieval, supporting sentence prediction, and answer span extraction.
no code implementations • 9 Dec 2022 • Yuxin Wang, Jieru Lin, Zhiwei Yu, Wei Hu, Börje F. Karlsson
Storytelling and narrative are fundamental to human experience, intertwined with our social and cultural engagement.
1 code implementation • 5 Dec 2022 • Yadong Qu, Qingfeng Tan, Hongtao Xie, Jianjun Xu, Yuxin Wang, Yongdong Zhang
Moreover, two new datasets (Tamper-Syn2k and Tamper-Scene) are proposed to fill the blank of public evaluation datasets.
1 code implementation • 29 Nov 2022 • Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu
We consider knowledge transfer and retention of the learning on growing snapshots of a KG without having to learn embeddings from scratch.
1 code implementation • 23 Nov 2022 • Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chu Cheung, Simon See, Bo Han, Xiaowen Chu
One-shot neural architecture search (NAS) substantially improves the search efficiency by training one supernet to estimate the performance of every possible child architecture (i. e., subnet).
1 code implementation • 19 Nov 2022 • Shancheng Fang, Zhendong Mao, Hongtao Xie, Yuxin Wang, Chenggang Yan, Yongdong Zhang
In this paper, we argue that the limited capacity of language models comes from 1) implicit language modeling; 2) unidirectional feature representation; and 3) language model with noise input.
Ranked #4 on Text Spotting on SCUT-CTW1500
no code implementations • 21 Oct 2022 • Yunhua Zhou, Peiju Liu, Yuxin Wang, Xipeng Qiu
In this paper, starting from the intuition that discovering intents could be beneficial to the identification of the known intents, we propose a probabilistic framework for discovering intents where intent assignments are treated as latent variables.
1 code implementation • 13 Oct 2022 • Yunhua Zhou, Pengyu Wang, Peiju Liu, Yuxin Wang, Xipeng Qiu
Most existing methods of Out-of-Domain (OOD) intent classification rely on extensive auxiliary OOD corpora or specific training paradigms.
no code implementations • 13 Oct 2022 • Yu Qiao, Ziqi Wei, Yuhao Liu, Yuxin Wang, Dongsheng Zhou, Qiang Zhang, Xin Yang
This paper reviews recent deep-learning-based matting research and conceives our wider and higher motivation for image matting.
no code implementations • 13 Oct 2022 • Yu Qiao, Yuhao Liu, Ziqi Wei, Yuxin Wang, Qiang Cai, Guofeng Zhang, Xin Yang
In this paper, we propose an end-to-end Hierarchical and Progressive Attention Matting Network (HAttMatting++), which can better predict the opacity of the foreground from single RGB images without additional input.
no code implementations • 6 Sep 2022 • Letian Yu, Haiyang Mei, Wen Dong, Ziqi Wei, Li Zhu, Yuxin Wang, Xin Yang
First, we attempt to bridge the characteristic gap between different levels of features by developing a Discriminability Enhancement (DE) module which enables level-specific features to be a more discriminative representation, alleviating the features incompatibility for fusion.
2 code implementations • 22 Aug 2022 • Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu
We propose a walk-based inductive reasoning model to tackle the new setting.
1 code implementation • 1 Aug 2022 • Yongle Luo, Yuxin Wang, Kun Dong, Qiang Zhang, Erkang Cheng, Zhiyong Sun, Bo Song
To solve these tasks efficiently, we propose a novel self-guided continual RL framework, RelayHER (RHER).
1 code implementation • 23 Jul 2022 • Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu
To avoid retraining an entire model on the whole KGs whenever new entities and triples come, we present a continual alignment method for this task.
1 code implementation • 27 May 2022 • Yuxin Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
Transformers have made progress in miscellaneous tasks, but suffer from quadratic computational and memory complexities.
no code implementations • 16 May 2022 • Qiao Xiang, Ridi Wen, Chenyang Huang, Yuxin Wang, Franck Le
Data plane verification (DPV) is important for finding network errors.
no code implementations • 11 Dec 2021 • Yu Qiao, Jincheng Zhu, Chengjiang Long, Zeyao Zhang, Yuxin Wang, Zhenjun Du, Xin Yang
Acquiring the most representative examples via active learning (AL) can benefit many data-dependent computer vision tasks by minimizing efforts of image-level or pixel-wise annotations.
4 code implementations • ICCV 2021 • Yuxin Wang, Hongtao Xie, Shancheng Fang, Jing Wang, Shenggao Zhu, Yongdong Zhang
Such operation guides the vision model to use not only the visual texture of characters, but also the linguistic information in visual context for recognition when the visual cues are confused (e. g. occlusion, noise, etc.).
no code implementations • 10 Aug 2021 • Jiqing Zhang, Kai Zhao, Bo Dong, Yingkai Fu, Yuxin Wang, Xin Yang, BaoCai Yin
Jointly exploiting multiple different yet complementary domain information has been proven to be an effective way to perform robust object tracking.
no code implementations • 20 Jul 2021 • Yuanzhou Chen, Shaobo Cai, Yuxin Wang, Junchi Yan
We propose a monocular vision technology based ELC method.
1 code implementation • 24 Jun 2021 • Yuxin Wang, Hongtao Xie, Shancheng Fang, Yadong Qu, Yongdong Zhang
However, there exists two problems: 1) the implicit erasure guidance causes the excessive erasure to non-text areas; 2) the one-stage erasure lacks the exhaustive removal of text region.
4 code implementations • 15 Jun 2021 • Chengxuan Ying, Mingqi Yang, Shuxin Zheng, Guolin Ke, Shengjie Luo, Tianle Cai, Chenglin Wu, Yuxin Wang, Yanming Shen, Di He
In this technical report, we present our solution of KDD Cup 2021 OGB Large-Scale Challenge - PCQM4M-LSC Track.
1 code implementation • 8 Jun 2021 • Tianyang Lin, Yuxin Wang, Xiangyang Liu, Xipeng Qiu
X-formers) have been proposed, however, a systematic and comprehensive literature review on these Transformer variants is still missing.
1 code implementation • 21 Apr 2021 • Jiqing Zhang, Chengjiang Long, Yuxin Wang, Haiyin Piao, Haiyang Mei, Xin Yang, BaoCai Yin
Recently, deep convolutional neural networks (CNNs) have been widely explored in single image super-resolution (SISR) and contribute remarkable progress.
3 code implementations • CVPR 2021 • Shancheng Fang, Hongtao Xie, Yuxin Wang, Zhendong Mao, Yongdong Zhang
Additionally, based on the ensemble of iterative predictions, we propose a self-training method which can learn from unlabeled images effectively.
no code implementations • 7 Jan 2021 • Yu Qiao, Yuhao Liu, Qiang Zhu, Xin Yang, Yuxin Wang, Qiang Zhang, Xiaopeng Wei
Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images.
1 code implementation • 30 Nov 2020 • Yingtai Xiao, Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer
In practice, differentially private data releases are designed to support a variety of applications.
Databases
no code implementations • 17 Aug 2020 • Yuxin Wang, Zeyu Ding, Daniel Kifer, Danfeng Zhang
We propose CheckDP, the first automated and integrated approach for proving or disproving claims that a mechanism is differentially private.
Programming Languages D.3.1
1 code implementation • CVPR 2020 • Yuxin Wang, Hongtao Xie, Zheng-Jun Zha, Mengting Xing, Zilong Fu, Yongdong Zhang
Then a novel Local Orthogonal Texture-aware Module (LOTM) models the local texture information of proposal features in two orthogonal directions and represents text region with a set of contour points.
1 code implementation • 18 Feb 2020 • Shuoheng Yang, Yuxin Wang, Xiaowen Chu
In recent years, natural language processing (NLP) has got great development with deep learning techniques.
no code implementations • 20 Nov 2019 • Xin He, Shihao Wang, Shaohuai Shi, Zhenheng Tang, Yuxin Wang, Zhihao Zhao, Jing Dai, Ronghao Ni, Xiaofeng Zhang, Xiaoming Liu, Zhili Wu, Wu Yu, Xiaowen Chu
Our results show that object detection can help improve the accuracy of some skin disease classes.
no code implementations • 15 Sep 2019 • Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, Xiaowen Chu
Different from the existing end-to-end benchmarks which only present the training time, We try to investigate the impact of hardware, vendor's software library, and deep learning framework on the performance and energy consumption of AI training.
no code implementations • 29 Apr 2019 • Zeyu Ding, Yuxin Wang, Danfeng Zhang, Daniel Kifer
We show that it can also release for free the noisy gap between the approximate maximizer and runner-up.
1 code implementation • 28 Mar 2019 • Yuxin Wang, Zeyu Ding, Guanhong Wang, Daniel Kifer, Danfeng Zhang
Sometimes, combining those two requires substantial changes to program logics: one recent paper is able to verify Report Noisy Max automatically, but it involves a complex verification system using customized program logics and verifiers.
Programming Languages D.2.4
1 code implementation • 14 Jan 2019 • Shaohuai Shi, Qiang Wang, Kaiyong Zhao, Zhenheng Tang, Yuxin Wang, Xiang Huang, Xiaowen Chu
Current methods that use AllGather to accumulate the sparse gradients have a communication complexity of $O(kP)$, where $P$ is the number of workers, which is inefficient on low bandwidth networks with a large number of workers.
2 code implementations • 25 May 2018 • Ding Ding, Yuxin Wang, Guanhong Wang, Danfeng Zhang, Daniel Kifer
The widespread acceptance of differential privacy has led to the publication of many sophisticated algorithms for protecting privacy.
Cryptography and Security