Search Results for author: Wenjing Huang

Found 6 papers, 1 papers with code

PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image Editing

no code implementations28 Jun 2023 Wenjing Huang, Shikui Tu, Lei Xu

Diffusion models have showcased their remarkable capability to synthesize diverse and high-quality images, sparking interest in their application for real image editing.

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IA-FaceS: A Bidirectional Method for Semantic Face Editing

1 code implementation24 Mar 2022 Wenjing Huang, Shikui Tu, Lei Xu

To strike a balance between the reconstruction capacity and the control flexibility, the encoder is designed as a multi-head structure to yield embeddings for reconstruction and control, respectively: a high-dimensional tensor with spatial properties for consistent reconstruction and four low-dimensional facial component embeddings for semantic face editing.

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Dispatchable Region for Active Distribution Networks Using Approximate Second-Order Cone Relaxation

no code implementations1 Jul 2021 Zhigang Li, Wenjing Huang, J. H. Zheng, Q. H. Wu

Although DC and linearized AC power flow equations are typically used to model dispatchable regions for transmission systems, these equations are rarely suitable for distribution networks.

Computational Efficiency

SGE net: Video object detection with squeezed GRU and information entropy map

no code implementations14 Jun 2021 Rui Su, Wenjing Huang, Haoyu Ma, Xiaowei Song, Jinglu Hu

Compared with object detection of static images, video object detection is more challenging due to the motion of objects, while providing rich temporal information.

Object object-detection +1

Defense against Adversarial Examples by Encoder-Assisted Search in the Latent Coding Space

no code implementations25 Sep 2019 Wenjing Huang, Shikui Tu, Lei Xu

In the inference time, when given an input, we will start a search process in the latent space which aims to find the closest reconstruction to the given image on the distribution of normal data.

Revisit Lmser and its further development based on convolutional layers

no code implementations12 Apr 2019 Wenjing Huang, Shikui Tu, Lei Xu

Proposed in 1991, Least Mean Square Error Reconstruction for self-organizing network, shortly Lmser, was a further development of the traditional auto-encoder (AE) by folding the architecture with respect to the central coding layer and thus leading to the features of symmetric weights and neurons, as well as jointly supervised and unsupervised learning.

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