no code implementations • 14 Apr 2024 • Quanxiu Wang, Hui Huang, Mingjie Wang, Yong Dai, Jinzuomu Zhong, Benlai Tang
Furthermore, a parallelized TTS frontend model is delicately devised to execute TN, PD, and PBP prediction tasks, respectively in the second stage.
no code implementations • 8 Feb 2024 • Mingjie Wang, Jun Zhou, Yong Dai, Eric Buys, Minglun Gong
Recently, Class-Agnostic Counting (CAC) problem has garnered increasing attention owing to its intriguing generality and superior efficiency compared to Category-Specific Counting (CSC).
no code implementations • 30 Dec 2023 • Jun Wang, Hao Ruan, Mingjie Wang, Chuanghui Zhang, Huachun Li, Jun Zhou
Over the past decade, visual gaze estimation has garnered increasing attention within the research community, owing to its wide-ranging application scenarios.
no code implementations • 17 Aug 2023 • Wei Song, Jun Zhou, Mingjie Wang, Hongchen Tan, Nannan Li, Xiuping Liu
In this work, we propose a novel multimodal fusion network for point cloud completion, which can simultaneously fuse visual and textual information to predict the semantic and geometric characteristics of incomplete shapes effectively.
no code implementations • 23 May 2023 • Jingning Xu, Benlai Tang, Mingjie Wang, Minghao Li, Meirong Ma
Recently, talking face generation has drawn ever-increasing attention from the research community in computer vision due to its arduous challenges and widespread application scenarios, e. g. movie animation and virtual anchor.
no code implementations • 23 Mar 2023 • Yande Li, Mingjie Wang, Minglun Gong, Yonggang Lu, Li Liu
The ever-increasing demands for intuitive interactions in Virtual Reality has triggered a boom in the realm of Facial Expression Recognition (FER).
Facial Expression Recognition Facial Expression Recognition (FER)
no code implementations • 10 Feb 2023 • Mingjie Wang, Yande Li, Jun Zhou, Graham W. Taylor, Minglun Gong
The class-agnostic counting (CAC) problem has caught increasing attention recently due to its wide societal applications and arduous challenges.
1 code implementation • 14 Nov 2022 • Mingjie Wang, Jianxiong Guo, Weijia Jia
However, a significant challenge in FL is handling the heterogeneity of local data distribution, which often results in a drifted global model that is difficult to converge.
1 code implementation • 27 Jul 2022 • Mingjie Wang, Jianxiong Guo, Sirui Li, Dingwen Xiao, Zhiqing Tang
Deep neural networks have significantly advanced person re-identification (ReID) applications in the realm of the industrial internet, yet they remain vulnerable.
no code implementations • 15 Mar 2022 • Mingjie Wang, Jun Zhou, Hao Cai, Minglun Gong
Existing state-of-the-art crowd counting algorithms rely excessively on location-level annotations, which are burdensome to acquire.
no code implementations • 17 Jan 2022 • Tianyi Xie, Liucheng Liao, Cheng Bi, Benlai Tang, Xiang Yin, Jianfei Yang, Mingjie Wang, Jiali Yao, Yang Zhang, Zejun Ma
The task of few-shot visual dubbing focuses on synchronizing the lip movements with arbitrary speech input for any talking head video.
1 code implementation • 14 Oct 2021 • Jingning Xu, Benlai Tang, Mingjie Wang, Siyuan Bian, Wenyi Guo, Xiang Yin, Zejun Ma
To tackle this problem, most recent AdaIN-based architectures are proposed to extract clothes and scenario features for generation.
1 code implementation • 19 May 2021 • Yiming Sun, Feng Chen, Zhiyu Chen, Mingjie Wang
However, the perturbations of global point are not effective for misleading the victim model.
no code implementations • 21 Apr 2021 • Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
Firstly, a dynamic top-k selection strategy is introduced to better focus on the most critical points of a given patch, and the points selected by our learning method tend to fit a surface by way of a simple tangent plane, which can dramatically improve the normal estimation results of patches with sharp corners or complex patterns.
no code implementations • 30 Mar 2021 • Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
At the stitching stage, we use the learned weights of multi-branch planar experts and distance weights between points to select the best normal from the overlapping parts.
no code implementations • 18 Dec 2020 • Mingjie Wang, Hao Cai, XianFeng Han, Jun Zhou, Minglun Gong
To battle the ingrained issue of accuracy degradation, we propose a novel and powerful network called Scale Tree Network (STNet) for accurate crowd counting.
no code implementations • 25 May 2020 • Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong
Crowd counting is an important vision task, which faces challenges on continuous scale variation within a given scene and huge density shift both within and across images.
no code implementations • 2 Oct 2018 • Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong
A robust solution for semi-dense stereo matching is presented.
no code implementations • 2 Oct 2018 • Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong
To address this problem, a regularization method named Stochastic Feature Reuse is also presented.