Search Results for author: Wenqi Liang

Found 9 papers, 1 papers with code

Never-Ending Embodied Robot Learning

no code implementations1 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.

Robot Manipulation

Create Your World: Lifelong Text-to-Image Diffusion

no code implementations8 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.

Attribute Image Generation

I3DOD: Towards Incremental 3D Object Detection via Prompting

no code implementations24 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.

3D Object Detection Autonomous Driving +3

Heterogeneous Forgetting Compensation for Class-Incremental Learning

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.

Class Incremental Learning Incremental Learning +1

Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing

no code implementations8 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.

Representation Learning

Heterogeneous Model Transfer between Different Neural Networks

no code implementations1 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.

Neural Architecture Search

Function Feature Learning of Neural Networks

no code implementations25 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.

Learnable Parameter Similarity

no code implementations27 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.

Transfer Learning

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