Search Results for author: Yuanwei Wu

Found 11 papers, 1 papers with code

Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts

no code implementations15 Nov 2023 Yuanwei Wu, Xiang Li, Yixin Liu, Pan Zhou, Lichao Sun

This finding indicates potential exploitable security risks in MLLMs; 2) Based on the acquired system prompts, we propose a novel MLLM jailbreaking attack method termed SASP (Self-Adversarial Attack via System Prompt).

Adversarial Attack

Training Deep Neural Networks via Branch-and-Bound

1 code implementation5 Apr 2021 Yuanwei Wu, Ziming Zhang, Guanghui Wang

In this paper, we propose BPGrad, a novel approximate algorithm for deep nueral network training, based on adaptive estimates of feasible region via branch-and-bound.

Object Recognition Stochastic Optimization

Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters

no code implementations5 Jan 2020 Ziming Zhang, Wenchi Ma, Yuanwei Wu, Guanghui Wang

In this paper, we investigate the empirical impact of orthogonality regularization (OR) in deep learning, either solo or collaboratively.

MDFN: Multi-Scale Deep Feature Learning Network for Object Detection

no code implementations10 Dec 2019 Wenchi Ma, Yuanwei Wu, Feng Cen, Guanghui Wang

Compared with features produced in earlier layers, the deep features are better at expressing semantic and contextual information.

Computational Efficiency object-detection +1

Object Detection with Convolutional Neural Networks

no code implementations4 Dec 2019 Kaidong Li, Wenchi Ma, Usman Sajid, Yuanwei Wu, Guanghui Wang

In this chapter, we present a brief overview of the recent development in object detection using convolutional neural networks (CNN).

Object object-detection +1

Adaptively Denoising Proposal Collection forWeakly Supervised Object Localization

no code implementations arXiv 2019 Wenju Xu, Yuanwei Wu, Wenchi Ma, Guanghui Wang

In this paper, we address the problem of weakly supervisedobject localization (WSL), which trains a detection network on the datasetwith only image-level annotations.

Denoising Multiple Instance Learning +3

Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization

no code implementations4 Oct 2019 Wenju Xu, Yuanwei Wu, Wenchi Ma, Guanghui Wang

In this paper, we address the problem of weakly supervised object localization (WSL), which trains a detection network on the dataset with only image-level annotations.

Denoising Multiple Instance Learning +2

Unsupervised Deep Feature Transfer for Low Resolution Image Classification

no code implementations27 Aug 2019 Yuanwei Wu, Ziming Zhang, Guanghui Wang

We use pre-trained convenet to extract features for both high- and low-resolution images, and then feed them into a two-layer feature transfer network for knowledge transfer.

Classification General Classification +2

MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection

no code implementations6 Sep 2018 Wenchi Ma, Yuanwei Wu, Zongbo Wang, Guanghui Wang

To better handle these challenges, the paper proposes a novel framework, multi-scale, deep inception convolutional neural network (MDCN), which focuses on wider and broader object regions by activating feature maps produced in the deep part of the network.

Object object-detection +1

BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning

no code implementations CVPR 2018 Ziming Zhang, Yuanwei Wu, Guanghui Wang

Understanding the global optimality in deep learning (DL) has been attracting more and more attention recently.

Object Recognition

Vision-based Real-Time Aerial Object Localization and Tracking for UAV Sensing System

no code implementations19 Mar 2017 Yuanwei Wu, Yao Sui, Guanghui Wang

The paper focuses on the problem of vision-based obstacle detection and tracking for unmanned aerial vehicle navigation.

Object object-detection +2

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