Search Results for author: Yunpeng Luo

Found 6 papers, 3 papers with code

Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network

1 code implementation13 Dec 2020 Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji

The latter contains a Global Adaptive Controller that can adaptively fuse the global information into the decoder to guide the caption generation.

Image Captioning

Dual-Level Collaborative Transformer for Image Captioning

1 code implementation16 Jan 2021 Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji

Descriptive region features extracted by object detection networks have played an important role in the recent advancements of image captioning.

Descriptive Image Captioning +2

RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words

1 code implementation CVPR 2021 Xuying Zhang, Xiaoshuai Sun, Yunpeng Luo, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Feiyue Huang, Rongrong Ji

Then, we build a BERTbased language model to extract language context and propose Adaptive-Attention (AA) module on top of a transformer decoder to adaptively measure the contribution of visual and language cues before making decisions for word prediction.

Image Captioning Language Modelling +2

Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack

no code implementations ICCV 2023 Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen

In this work, we conduct the first measurement study on whether and how effectively the existing designs can lead to system-level effects, especially for the STOP sign-evasion attacks due to their popularity and severity.

Autonomous Driving

LaRE^2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection

no code implementations26 Mar 2024 Yunpeng Luo, Junlong Du, Ke Yan, Shouhong Ding

In response to this, we propose a novel Latent REconstruction error guided feature REfinement method (LaRE^2) for detecting the diffusion-generated images.

Image Generation

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