no code implementations • 2 Feb 2024 • Jiawei Wang, Yuchen Zhang, Jiaxin Zou, Yan Zeng, Guoqiang Wei, Liping Yuan, Hang Li
Its robust motion controllability is validated by drastic increases in the bounding box alignment metric.
no code implementations • 25 Dec 2023 • Chen Hou, Guoqiang Wei, Zhibo Chen
Diffusion models have attained remarkable success in the domains of image generation and editing.
no code implementations • 18 Nov 2023 • Yan Zeng, Guoqiang Wei, Jiani Zheng, Jiaxin Zou, Yang Wei, Yuchen Zhang, Hang Li
Creating high-dynamic videos such as motion-rich actions and sophisticated visual effects poses a significant challenge in the field of artificial intelligence.
Ranked #3 on Text-to-Video Generation on UCF-101
2 code implementations • 5 Jul 2023 • Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong
However, the performance of these models heavily relies on design choices such as network structures, training data, and training strategies, and these choices have not been extensively discussed in the literature, making it difficult to quantify progress in this field.
1 code implementation • 11 Apr 2023 • Ganlin Yang, Guoqiang Wei, Zhizheng Zhang, Yan Lu, Dong Liu
Most Neural Radiance Fields (NeRFs) exhibit limited generalization capabilities, which restrict their applicability in representing multiple scenes using a single model.
1 code implementation • 6 Dec 2022 • Xin Li, Cuiling Lan, Guoqiang Wei, Zhibo Chen
In this way, our message broadcasting encourages the group tokens to learn more informative and diverse information for effective domain alignment.
Ranked #1 on Unsupervised Domain Adaptation on VisDA2017
2 code implementations • 11 Mar 2022 • Guoqiang Wei, Zhizheng Zhang, Cuiling Lan, Yan Lu, Zhibo Chen
In this work, we propose an innovative token-mixer, dubbed Active Token Mixer (ATM), to actively incorporate flexible contextual information distributed across different channels from other tokens into the given query token.
Ranked #64 on Object Detection on COCO minival
no code implementations • 26 Nov 2021 • Xin Li, Zhizheng Zhang, Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Xin Jin, Zhibo Chen
In this paper, we propose a novel Confounder Identification-free Causal Visual Feature Learning (CICF) method, which obviates the need for identifying confounders.
1 code implementation • NeurIPS 2021 • Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zhibo Chen
Unsupervised domain adaptive classifcation intends to improve the classifcation performance on unlabeled target domain.
1 code implementation • CVPR 2021 • Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhibo Chen
For unsupervised domain adaptation (UDA), to alleviate the effect of domain shift, many approaches align the source and target domains in the feature space by adversarial learning or by explicitly aligning their statistics.
1 code implementation • 30 May 2019 • Xin Jin, Cuiling Lan, Wen-Jun Zeng, Guoqiang Wei, Zhibo Chen
Specifically, we build a Semantics Aligning Network (SAN) which consists of a base network as encoder (SA-Enc) for re-ID, and a decoder (SA-Dec) for reconstructing/regressing the densely semantics aligned full texture image.
no code implementations • 30 Jan 2019 • Guoqiang Wei, Cuiling Lan, Wen-Jun Zeng, Zhibo Chen
The diversity of capturing viewpoints and the flexibility of the human poses, however, remain some significant challenges.