51 citations · 282 across the 18 of their papers we have counts for
18 papers
Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems?
Yihan Zhang, Wenhao Jiang, Feng Zheng +3
Decentralized minimax optimization has been actively studied in the past few years due to its application in a wide range of machine learning models. However, the current theoretic…
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos
Teng Wang, Jinrui Zhang, Feng Zheng +3
Joint video-language learning has received increasing attention in recent years. However, existing works mainly focus on single or multiple trimmed video clips (events), which make…
SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization
Zhihui Lin, Tianyu Yang, Maomao Li +4
Matching-based methods, especially those based on space-time memory, are significantly ahead of other solutions in semi-supervised video object segmentation (VOS). However, continu…
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
Teng Wang, Wenhao Jiang, Zhichao Lu +4
Existing vision-language pre-training (VLP) methods primarily rely on paired image-text datasets, which are either annotated by enormous human labors, or crawled from the internet…
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Ziyu Wang, Wenhao Jiang, Yiming Zhu +3
Recently, MLP-like vision models have achieved promising performances on mainstream visual recognition tasks. In contrast with vision transformers and CNNs, the success of MLP-like…
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds
Guiyu Tian, Wenhao Jiang, Wei Liu +1
This paper presents Poisoning MorphNet, the first backdoor attack method on point clouds. Conventional adversarial attack takes place in the inference stage, often fooling a model…
VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples
Tian Pan, Yibing Song, Tianyu Yang +2
MoCo is effective for unsupervised image representation learning. In this paper, we propose VideoMoCo for unsupervised video representation learning. Given a video sequence as an i…
Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos
Shaoxiang Chen, Wenhao Jiang, Wei Liu +1
Automatically generating sentences to describe events and temporally localizing sentences in a video are two important tasks that bridge language and videos. Recent techniques leve…
Temporally Grounding Language Queries in Videos by Contextual Boundary-aware Prediction
Jingwen Wang, Lin Ma, Wenhao Jiang
The task of temporally grounding language queries in videos is to temporally localize the best matched video segment corresponding to a given language (sentence). It requires certa…
MRI Reconstruction Using Deep Bayesian Estimation
GuanXiong Luo, Na Zhao, Wenhao Jiang +2
Purpose: To develop a deep learning-based Bayesian inference for MRI reconstruction. Methods: We modeled the MRI reconstruction problem with Bayes's theorem, following the recently…
Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network
Bairui Wang, Lin Ma, Wei Zhang +3
In this paper, we propose to guide the video caption generation with Part-of-Speech (POS) information, based on a gated fusion of multiple representations of input videos. We const…
Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training
Wenhao Jiang, Zhiyu Liu, Kit-Hang Lee +5
Abdominal magnetic resonance imaging (MRI) provides a straightforward way of characterizing tissue and locating lesions of patients as in standard diagnosis. However, abdominal MRI…
Hierarchical Photo-Scene Encoder for Album Storytelling
Bairui Wang, Lin Ma, Wei Zhang +2
In this paper, we propose a novel model with a hierarchical photo-scene encoder and a reconstructor for the task of album storytelling. The photo-scene encoder contains two sub-enc…
Recurrent Fusion Network for Image Captioning
Wenhao Jiang, Lin Ma, Yu-Gang Jiang +2
Recently, much advance has been made in image captioning, and an encoder-decoder framework has been adopted by all the state-of-the-art models. Under this framework, an input image…
Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
Xinpeng Chen, Lin Ma, Wenhao Jiang +2
Recently, caption generation with an encoder-decoder framework has been extensively studied and applied in different domains, such as image captioning, code captioning, and so on.…
Learning to Guide Decoding for Image Captioning
Wenhao Jiang, Lin Ma, Xinpeng Chen +2
Recently, much advance has been made in image captioning, and an encoder-decoder framework has achieved outstanding performance for this task. In this paper, we propose an extensio…
Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning
Jingwen Wang, Wenhao Jiang, Lin Ma +2
Dense video captioning is a newly emerging task that aims at both localizing and describing all events in a video. We identify and tackle two challenges on this task, namely, (1) h…
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning
Wenhao Jiang, Cheng Deng, Wei Liu +3
Domain adaptation problems arise in a variety of applications, where a training dataset from the \textit{source} domain and a test dataset from the \textit{target} domain typically…