Search Results for author: Zhiliang Peng

Found 13 papers, 11 papers with code

iPREFER: An Intelligent Parameter Extractor based on Features for BSIM-CMG Models

no code implementations11 Apr 2024 Zhiliang Peng, Yicheng Wang, Zhengwu Yuan, Xingsheng Wang

This paper introduces an innovative parameter extraction method for BSIM-CMG compact models, seamlessly integrating curve feature extraction and machine learning techniques.

Kosmos-G: Generating Images in Context with Multimodal Large Language Models

1 code implementation4 Oct 2023 Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei

These limitations keep them far from the ultimate goal of "image as a foreign language in image generation."

Image Generation

Kosmos-2: Grounding Multimodal Large Language Models to the World

2 code implementations26 Jun 2023 Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei

We introduce Kosmos-2, a Multimodal Large Language Model (MLLM), enabling new capabilities of perceiving object descriptions (e. g., bounding boxes) and grounding text to the visual world.

Image Captioning In-Context Learning +8

A Unified View of Masked Image Modeling

1 code implementation19 Oct 2022 Zhiliang Peng, Li Dong, Hangbo Bao, Qixiang Ye, Furu Wei

Masked image modeling has demonstrated great potential to eliminate the label-hungry problem of training large-scale vision Transformers, achieving impressive performance on various downstream tasks.

Image Classification Segmentation +1

BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

2 code implementations12 Aug 2022 Zhiliang Peng, Li Dong, Hangbo Bao, Qixiang Ye, Furu Wei

The large-size BEiT v2 obtains 87. 3% top-1 accuracy for ImageNet-1K (224 size) fine-tuning, and 56. 7% mIoU on ADE20K for semantic segmentation.

Knowledge Distillation Representation Learning +2

Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection

3 code implementations ICCV 2023 Feng Liu, Xiaosong Zhang, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye

Except for the backbone networks, however, other components such as the detector head and the feature pyramid network (FPN) remain trained from scratch, which hinders fully tapping the potential of representation models.

Few-Shot Object Detection Object +2

Long-tailed Distribution Adaptation

1 code implementation6 Oct 2021 Zhiliang Peng, Wei Huang, Zonghao Guo, Xiaosong Zhang, Jianbin Jiao, Qixiang Ye

We propose to jointly optimize empirical risks of the unbalanced and balanced domains and approximate their domain divergence by intra-class and inter-class distances, with the aim to adapt models trained on the long-tailed distribution to general distributions in an interpretable way.

Domain Adaptation Instance Segmentation +3

Conformer: Local Features Coupling Global Representations for Visual Recognition

4 code implementations ICCV 2021 Zhiliang Peng, Wei Huang, Shanzhi Gu, Lingxi Xie, YaoWei Wang, Jianbin Jiao, Qixiang Ye

Within Convolutional Neural Network (CNN), the convolution operations are good at extracting local features but experience difficulty to capture global representations.

Image Classification Instance Segmentation +4

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