41 citations · 359 across the 102 of their papers we have counts for
19 papers · 1 filter
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection
Junke Wang, Zhenxin Li, Chao Zhang +4
Online media data, in the forms of images and videos, are becoming mainstream communication channels. However, recent advances in deep learning, particularly deep generative models…
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning
Linhai Zhuo, Yuqian Fu, Jingjing Chen +2
Given sufficient training data on the source domain, cross-domain few-shot learning (CD-FSL) aims at recognizing new classes with a small number of labeled examples on the target d…
Transferability Estimation Based On Principal Gradient Expectation
Huiyan Qi, Lechao Cheng, Jingjing Chen +4
Transfer learning aims to improve the performance of target tasks by transferring knowledge acquired in source tasks. The standard approach is pre-training followed by fine-tuning…
SVFormer: Semi-supervised Video Transformer for Action Recognition
Zhen Xing, Qi Dai, Han Hu +3
Semi-supervised action recognition is a challenging but critical task due to the high cost of video annotations. Existing approaches mainly use convolutional neural networks, yet c…
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning
Yuqian Fu, Yu Xie, Yanwei Fu +2
Recently, Cross-Domain Few-Shot Learning (CD-FSL) which aims at addressing the Few-Shot Learning (FSL) problem across different domains has attracted rising attention. The core cha…
Eternal solutions in exponential self-similar form for a quasilinear reaction-diffusion equation with critical singular potential
Razvan Gabriel Iagar, Marta Latorre, Ariel Sánchez
We prove existence and uniqueness of self-similar solutions with exponential form to the following quasilinear reaction-diffusion…
Locate before Answering: Answer Guided Question Localization for Video Question Answering
Tianwen Qian, Ran Cui, Jingjing Chen +3
Video question answering (VideoQA) is an essential task in vision-language understanding, which has attracted numerous research attention recently. Nevertheless, existing works mos…
Enhancing the Self-Universality for Transferable Targeted Attacks
Zhipeng Wei, Jingjing Chen, Zuxuan Wu +1
In this paper, we propose a novel transfer-based targeted attack method that optimizes the adversarial perturbations without any extra training efforts for auxiliary networks on tr…
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection
Yang Jiao, Zequn Jie, Shaoxiang Chen +3
Fusing LiDAR and camera information is essential for achieving accurate and reliable 3D object detection in autonomous driving systems. This is challenging due to the difficulty of…
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Jianggang Zhu, Zheng Wang, Jingjing Chen +2
Real-world data typically follow a long-tailed distribution, where a few majority categories occupy most of the data while most minority categories contain a limited number of samp…
A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training
Zhihao Fan, Zhongyu Wei, Jingjing Chen +4
Multi-modal pre-training and knowledge discovery are two important research topics in multi-modal machine learning. Nevertheless, none of existing works make attempts to link knowl…
Cross-lingual Adaptation for Recipe Retrieval with Mixup
Bin Zhu, Chong-Wah Ngo, Jingjing Chen +1
Cross-modal recipe retrieval has attracted research attention in recent years, thanks to the availability of large-scale paired data for training. Nevertheless, obtaining adequate…
Adaptive Split-Fusion Transformer
Zixuan Su, Hao Zhang, Jingjing Chen +3
Neural networks for visual content understanding have recently evolved from convolutional ones (CNNs) to transformers. The prior (CNN) relies on small-windowed kernels to capture t…
Video Moment Retrieval from Text Queries via Single Frame Annotation
Ran Cui, Tianwen Qian, Pai Peng +5
Video moment retrieval aims at finding the start and end timestamps of a moment (part of a video) described by a given natural language query. Fully supervised methods need complet…
ObjectFormer for Image Manipulation Detection and Localization
Junke Wang, Zuxuan Wu, Jingjing Chen +4
Recent advances in image editing techniques have posed serious challenges to the trustworthiness of multimedia data, which drives the research of image tampering detection. In this…
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
Yuqian Fu, Yu Xie, Yanwei Fu +2
Previous few-shot learning (FSL) works mostly are limited to natural images of general concepts and categories. These works assume very high visual similarity between the source an…
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes
Yang Jiao, Shaoxiang Chen, Zequn Jie +3
3D dense captioning is a recently-proposed novel task, where point clouds contain more geometric information than the 2D counterpart. However, it is also more challenging due to th…
Suspected Object Matters: Rethinking Model's Prediction for One-stage Visual Grounding
Yang Jiao, Zequn Jie, Jingjing Chen +2
Recently, one-stage visual grounders attract high attention due to their comparable accuracy but significantly higher efficiency than two-stage grounders. However, inter-object rel…
MVPTR: Multi-Level Semantic Alignment for Vision-Language Pre-Training via Multi-Stage Learning
Zejun Li, Zhihao Fan, Huaixiao Tou +3
Previous vision-language pre-training models mainly construct multi-modal inputs with tokens and objects (pixels) followed by performing cross-modality interaction between them. We…