Search Results for author: Lijun Gong

Found 9 papers, 4 papers with code

InstructDET: Diversifying Referring Object Detection with Generalized Instructions

1 code implementation8 Oct 2023 Ronghao Dang, Jiangyan Feng, Haodong Zhang, Chongjian Ge, Lin Song, Lijun Gong, Chengju Liu, Qijun Chen, Feng Zhu, Rui Zhao, Yibing Song

In order to encompass common detection expressions, we involve emerging vision-language model (VLM) and large language model (LLM) to generate instructions guided by text prompts and object bbxs, as the generalizations of foundation models are effective to produce human-like expressions (e. g., describing object property, category, and relationship).

Language Modelling Large Language Model +4

Stabilized Medical Image Attacks

1 code implementation9 Mar 2021 Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng

However, a threat to these systems arises that adversarial attacks make CNNs vulnerable.

Adversarial Attack Medical Diagnosis

Stabilized Medical Attacks

no code implementations ICLR 2021 Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng

We further analyze the KL-divergence of the proposed loss function and find that the loss stabilization term makes the perturbations updated towards a fixed objective spot while deviating from the ground truth.

Adversarial Attack Medical Diagnosis

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy

1 code implementation20 Jul 2020 Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng

In this paper, we propose a Graph REsidual rE-ranking Network (GREEN) to introduce a class dependency prior into the original image classification network.

Classification General Classification +3

Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications

no code implementations20 Jul 2020 Lijun Gong, Kai Ma, Yefeng Zheng

We formulate a novel distractor-aware loss that encourages large distance between the original image and its distractor in the feature space.

Classification Diabetic Retinopathy Grading +1

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster

1 code implementation9 Jul 2019 Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng

Accurate lesion detection in computer tomography (CT) slices benefits pathologic organ analysis in the medical diagnosis process.

Lesion Detection Medical Diagnosis +2

Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement

no code implementations22 Nov 2018 Yibing Song, Jiawei Zhang, Lijun Gong, Shengfeng He, Linchao Bao, Jinshan Pan, Qingxiong Yang, Ming-Hsuan Yang

We first propose a facial component guided deep Convolutional Neural Network (CNN) to restore a coarse face image, which is denoted as the base image where the facial component is automatically generated from the input face image.

Deblurring Face Hallucination +2

VITAL: VIsual Tracking via Adversarial Learning

no code implementations CVPR 2018 Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, WangMeng Zuo, Chunhua Shen, Rynson Lau, Ming-Hsuan Yang

To augment positive samples, we use a generative network to randomly generate masks, which are applied to adaptively dropout input features to capture a variety of appearance changes.

General Classification Visual Tracking

CREST: Convolutional Residual Learning for Visual Tracking

no code implementations ICCV 2017 Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson Lau, Ming-Hsuan Yang

Our method integrates feature extraction, response map generation as well as model update into the neural networks for an end-to-end training.

Visual Tracking

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