no code implementations • 1 Mar 2024 • Wenqi Liang, Gan Sun, Qian He, Yu Ren, Jiahua Dong, Yang Cong
Relying on large language models (LLMs), embodied robots could perform complex multimodal robot manipulation tasks from visual observations with powerful generalization ability.
no code implementations • 8 Sep 2023 • Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong
Text-to-image generative models can produce diverse high-quality images of concepts with a text prompt, which have demonstrated excellent ability in image generation, image translation, etc.
no code implementations • 24 Aug 2023 • Wenqi Liang, Gan Sun, Chenxi Liu, Jiahua Dong, Kangru Wang
Meanwhile, the current class-incremental 3D object detection methods neglect the relationships between the object localization information and category semantic information and assume all the knowledge of old model is reliable.
1 code implementation • ICCV 2023 • Jiahua Dong, Wenqi Liang, Yang Cong, Gan Sun
To surmount the above challenges, we develop a novel Heterogeneous Forgetting Compensation (HFC) model, which can resolve heterogeneous forgetting of easy-to-forget and hard-to-forget old categories from both representation and gradient aspects.
no code implementations • 8 Aug 2022 • Guangcong Wang, Guangrun Wang, Wenqi Liang, JianHuang Lai
We extend the traditional hypothesis-testing method to a hypothesis-training-testing statistical inference method to validate the hypothesis on the weight similarity of neural networks.
no code implementations • 1 Jan 2021 • Guangcong Wang, JianHuang Lai, Wenqi Liang, Guangrun Wang
Specifically, we select the longest chain from the source model and transfer it to the longest chain of the target model.
no code implementations • 25 Sep 2019 • Guangcong Wang, JianHuang Lai, Guangrun Wang, Wenqi Liang
We present a Function Feature Learning (FFL) method that can measure the similarity of non-convex neural networks.
no code implementations • 27 Jul 2019 • Guangcong Wang, Jian-Huang Lai, Wenqi Liang, Guangrun Wang
Most of the existing approaches focus on specific visual tasks while ignoring the relations between them.
no code implementations • 9 Nov 2018 • Wenqi Liang, Guangcong Wang, Jian-Huang Lai, Junyong Zhu
Cross-domain transfer learning (CDTL) is an extremely challenging task for the person re-identification (ReID).