no code implementations • 26 Apr 2024 • Xindi Zheng, Yuwei Wu, Yu Pan, WanYu Lin, Lei Ma, Jianjun Zhao
The crux of our work is that it admits both global and local representations of the input graph signal, which can capture the long-range dependencies.
no code implementations • 23 Feb 2024 • Yuwei Wu, Shijing Si, Yugui Zhang, Jiawen Gu, Jedrek Wosik
To fill in the gap, this study attempts to evaluate ChatGPT's capabilities for spam identification in both English and Chinese email datasets.
no code implementations • 12 Oct 2023 • Xu Chen, Yunde Jia, Yuwei Wu
In this paper, we propose a fine-grained annotation method for face anti-spoofing.
no code implementations • 30 Jun 2023 • Yi Guo, Che Sun, Yunde Jia, Yuwei Wu
We improve the reconstruction quality of complex geometry scene regions with sparse depth obtained by using the geometric constraints.
no code implementations • 19 May 2023 • Mingliang Zhai, Yulin Li, Xiameng Qin, Chen Yi, Qunyi Xie, Chengquan Zhang, Kun Yao, Yuwei Wu, Yunde Jia
Transformers achieve promising performance in document understanding because of their high effectiveness and still suffer from quadratic computational complexity dependency on the sequence length.
no code implementations • CVPR 2023 • Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu
Our method dynamically expands the geometry of the underlying space to match growing geometric structures induced by new data, and prevents forgetting by keeping geometric structures of old data into account.
1 code implementation • CVPR 2023 • Weixiao Liu, Yuwei Wu, Sipu Ruan, Gregory S. Chirikjian
Representing complex objects with basic geometric primitives has long been a topic in computer vision.
no code implementations • 20 Mar 2023 • Yuwei Wu, Zhe Zhang, Xiaolan Qiu, Yao Zhao, Weidong Yu
repetition frequency (PRF).
no code implementations • ICCV 2023 • Jiaxi Zeng, Chengtang Yao, Lidong Yu, Yuwei Wu, Yunde Jia
In this paper, we propose a parameterized cost volume to encode the entire disparity space using multi-Gaussian distribution.
no code implementations • ICCV 2023 • Chengtang Yao, Lidong Yu, Yuwei Wu, Yunde Jia
The high-resolution local information brought by sparse points refines 3D lanes in the BEV space hierarchically from low resolution to high resolution.
no code implementations • ICCV 2023 • Chenrui Shi, Che Sun, Yuwei Wu, Yunde Jia
In this way, our method is able to reduce the difficulties of learning and avoid converging to sub-optimal solutions.
1 code implementation • CVPR 2023 • Chuanhao Li, Zhen Li, Chenchen Jing, Yunde Jia, Yuwei Wu
Compositional generalization is critical to simulate the compositional capability of humans, and has received much attention in the vision-and-language (V&L) community.
no code implementations • CVPR 2022 • Xinke Li, Henghui Ding, Zekun Tong, Yuwei Wu, Yeow Meng Chee
Further study suggests that our strategy can improve the model performance by pretraining and fine-tuning scheme, especially for the dataset with a small scale.
no code implementations • 28 Mar 2022 • Yuwei Wu, Weixiao Liu, Sipu Ruan, Gregory S. Chirikjian
In this paper, we propose a novel non-parametric Bayesian statistical method to infer an abstraction, consisting of an unknown number of geometric primitives, from a point cloud.
1 code implementation • CVPR 2022 • Chenchen Jing, Yunde Jia, Yuwei Wu, Xinyu Liu, Qi Wu
Existing VQA models can answer a compositional question well, but cannot work well in terms of reasoning consistency in answering the compositional question and its sub-questions.
no code implementations • CVPR 2022 • Che Sun, Yunde Jia, Yi Guo, Yuwei Wu
We propose a novel method of registering less-overlap RGB-D scans.
1 code implementation • CVPR 2022 • Weixiao Liu, Yuwei Wu, Sipu Ruan, Gregory S. Chirikjian
Among geometric primitives, superquadrics are well known for their ability to represent a wide range of shapes with few parameters.
1 code implementation • NAACL 2021 • Yuwei Wu, Xuezhe Ma, Diyi Yang
Despite the impressive successes of generation and dialogue systems, how to endow a text generation system with particular personality traits to deliver more personalized responses remains under-investigated.
no code implementations • 10 May 2021 • Zilong Wang, Mingjie Zhan, Houxing Ren, Zhaohui Hou, Yuwei Wu, Xingyan Zhang, Ding Liang
Forms are a common type of document in real life and carry rich information through textual contents and the organizational structure.
no code implementations • CVPR 2021 • Chengtang Yao, Yunde Jia, Huijun Di, Pengxiang Li, Yuwei Wu
In this paper, we present a decomposition model for stereo matching to solve the problem of excessive growth in computational cost (time and memory cost) as the resolution increases.
no code implementations • CVPR 2021 • Jindou Dai, Yuwei Wu, Zhi Gao, Yunde Jia
Specifically, we developed a manifold-preserving graph convolution that consists of a hyperbolic feature transformation and a hyperbolic neighborhood aggregation.
no code implementations • ICCV 2021 • Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi
Few-shot learning describes the challenging problem of recognizing samples from unseen classes given very few labeled examples.
no code implementations • 27 Dec 2020 • Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, Rui Wang
In detail, for self-attention network (SAN) sponsored Transformer-based encoder, we introduce syntactic dependency of interest (SDOI) design into the SAN to form an SDOI-SAN with syntax-guided self-attention.
1 code implementation • 11 Aug 2020 • Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang
Based on it, we formulate a hierarchical learning problem for 3D point cloud segmentation and propose a measurement evaluating consistency across various hierarchies.
no code implementations • 5 Jun 2020 • Chengtang Yao, Yunde Jia, Huijun Di, Yuwei Wu, Lidong Yu
In this paper, we present a content-aware inter-scale cost aggregation method that adaptively aggregates and upsamples the cost volume from coarse-scale to fine-scale by learning dynamic filter weights according to the content of the left and right views on the two scales.
1 code implementation • 23 Apr 2020 • Jiaao Chen, Yuwei Wu, Diyi Yang
We present semi-supervised models with data augmentation (SMDA), a semi-supervised text classification system to classify interactive affective responses.
1 code implementation • CVPR 2020 • Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim
Armed with the Thompson Sampling, we develop a black-box attack with success rate over 95% on ModelNet40 data set.
1 code implementation • 5 Sep 2019 • Zhuosheng Zhang, Yuwei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, Xiang Zhou
The latest work on language representations carefully integrates contextualized features into language model training, which enables a series of success especially in various machine reading comprehension and natural language inference tasks.
Ranked #6 on Natural Language Inference on SNLI
2 code implementations • 30 Aug 2019 • Shuailiang Zhang, Hai Zhao, Yuwei Wu, Zhuosheng Zhang, Xi Zhou, Xiang Zhou
Multi-choice reading comprehension is a challenging task to select an answer from a set of candidate options when given passage and question.
1 code implementation • 14 Aug 2019 • Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, Rui Wang
In detail, for self-attention network (SAN) sponsored Transformer-based encoder, we introduce syntactic dependency of interest (SDOI) design into the SAN to form an SDOI-SAN with syntax-guided self-attention.
Ranked #5 on Question Answering on SQuAD2.0 dev
no code implementations • 15 Mar 2019 • Yanmei Dong, Mingtao Pei, Lijia Zhang, Bin Xu, Yuwei Wu, Yunde Jia
In this paper, we propose to stitch videos from the FF-camera with a wide-angle lens and the DF-camera with a fisheye lens for telepresence robots.
no code implementations • 27 Jan 2019 • Shuailiang Zhang, Hai Zhao, Yuwei Wu, Zhuosheng Zhang, Xi Zhou, Xiang Zhou
Multi-choice reading comprehension is a challenging task that requires complex reasoning procedure.
Ranked #3 on Question Answering on RACE
1 code implementation • 13 Jan 2019 • Yunxuan Xiao, Yikai Li, Yuwei Wu, LiZhen Zhu
Replacing the background and simultaneously adjusting foreground objects is a challenging task in image editing.
no code implementations • 8 Sep 2018 • Zhuosheng Zhang, Yuwei Wu, Zuchao Li, Hai Zhao
Who did what to whom is a major focus in natural language understanding, which is right the aim of semantic role labeling (SRL) task.
Ranked #8 on Natural Language Inference on SNLI
Machine Reading Comprehension Natural Language Understanding +1
no code implementations • 12 Jan 2018 • Lidong Yu, Yucheng Wang, Yuwei Wu, Yunde Jia
The cost aggregation sub-architecture is realized by a two-stream network: one for the generation of cost aggregation proposals, the other for the selection of the proposals.
no code implementations • 17 Nov 2017 • Zhi Gao, Yuwei Wu, Xingyuan Bu, Yunde Jia
To this end, several new layers are introduced in our network, including a nonlinear kernel aggregation layer, an SPD matrix transformation layer, and a vectorization layer.
no code implementations • CVPR 2017 • Tan Yu, Yuwei Wu, Junsong Yuan
This paper tackles the problem of efficient and effective object instance search in videos.
no code implementations • 31 Mar 2017 • Min Yang, Yuwei Wu, Yunde Jia
In this paper, we present a hybrid data association framework with a min-cost multi-commodity network flow for robust online multi-object tracking.