b'Pan Zhou'

research

∙ 06/12/2023

Fast Diffusion Model

Despite their success in real data synthesis, diffusion models (DMs) oft...

0 Zike Wu, et al. ∙

research

∙ 06/12/2023

Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial Resilience

End-to-end training with global optimization have popularized graph neur...

5 Ao Liu, et al. ∙

research

∙ 05/06/2023

Transform-Equivariant Consistency Learning for Temporal Sentence Grounding

This paper addresses the temporal sentence grounding (TSG). Although exi...

0 Daizong Liu, et al. ∙

research

∙ 03/25/2023

Masked Diffusion Transformer is a Strong Image Synthesizer

Despite its success in image synthesis, we observe that diffusion probab...

0 Shanghua Gao, et al. ∙

research

∙ 03/14/2023

You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos

Given an untrimmed video, temporal sentence grounding (TSG) aims to loca...

0 Xiang Fang, et al. ∙

research

∙ 03/05/2023

Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation

While the use of graph-structured data in various fields is becoming inc...

0 Yixin Liu, et al. ∙

research

∙ 03/02/2023

Jointly Visual- and Semantic-Aware Graph Memory Networks for Temporal Sentence Localization in Videos

Temporal sentence localization in videos (TSLV) aims to retrieve the mos...

0 Daizong Liu, et al. ∙

research

∙ 02/27/2023

Contrastive Video Question Answering via Video Graph Transformer

We propose to perform video question answering (VideoQA) in a Contrastiv...

0 Junbin Xiao, et al. ∙

research

∙ 02/21/2023

Tracking Objects and Activities with Attention for Temporal Sentence Grounding

Temporal sentence grounding (TSG) aims to localize the temporal segment ...

0 Zeyu Xiong, et al. ∙

research

∙ 02/18/2023

Backdoor Attacks to Pre-trained Unified Foundation Models

The rise of pre-trained unified foundation models breaks down the barrie...

0 Zenghui Yuan, et al. ∙

research

∙ 01/05/2023

Hypotheses Tree Building for One-Shot Temporal Sentence Localization

Given an untrimmed video, temporal sentence localization (TSL) aims to l...

0 Daizong Liu, et al. ∙

research

∙ 01/02/2023

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding

Temporal sentence grounding (TSG) aims to identify the temporal boundary...

0 Jiahao Zhu, et al. ∙

research

∙ 12/19/2022

Position-guided Text Prompt for Vision-Language Pre-training

Vision-Language Pre-Training (VLP) has shown promising capabilities to a...

0 Alex Jinpeng Wang, et al. ∙

research

∙ 12/13/2022

Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student Ensemble

Distantly-Supervised Named Entity Recognition (DS-NER) effectively allev...

0 Xiaoye Qu, et al. ∙

research

∙ 10/20/2022

Towards Sustainable Self-supervised Learning

Although increasingly training-expensive, most self-supervised learning ...

0 Shanghua Gao, et al. ∙

research

∙ 10/03/2022

LPT: Long-tailed Prompt Tuning for Image Classification

For long-tailed classification, most works often pretrain a big model on...

5 Bowen Dong, et al. ∙

research

∙ 09/23/2022

Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval

As an increasingly popular task in multimedia information retrieval, vid...

0 Xiang Fang, et al. ∙

research

∙ 08/31/2022

Hierarchical Local-Global Transformer for Temporal Sentence Grounding

This paper studies the multimedia problem of temporal sentence grounding...

0 Xiang Fang, et al. ∙

research

∙ 08/13/2022

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

Adaptive gradient algorithms borrow the moving average idea of heavy bal...

0 Xingyu Xie, et al. ∙

research

∙ 07/12/2022

Backdoor Attacks on Crowd Counting

Crowd counting is a regression task that estimates the number of people ...

0 Yuhua Sun, et al. ∙

research

∙ 07/12/2022

Video Graph Transformer for Video Question Answering

This paper proposes a Video Graph Transformer (VGT) model for Video Quet...

0 Junbin Xiao, et al. ∙

research

∙ 07/02/2022

Gaussian Kernel-based Cross Modal Network for Spatio-Temporal Video Grounding

Spatial-Temporal Video Grounding (STVG) is a challenging task which aims...

0 Zeyu Xiong, et al. ∙

research

∙ 06/08/2022

Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks

For unsupervised pretraining, mask-reconstruction pretraining (MRP) appr...

0 Jiachun Pan, et al. ∙

research

∙ 05/07/2022

Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees

Graph neural networks (GNNs) have achieved state-of-the-art performance ...

0 Binghui Wang, et al. ∙

research

∙ 03/27/2022

Mugs: A Multi-Granular Self-Supervised Learning Framework

In self-supervised learning, multi-granular features are heavily desired...

1 Pan Zhou, et al. ∙

research

∙ 03/14/2022

Self-Promoted Supervision for Few-Shot Transformer

The few-shot learning ability of vision transformers (ViTs) is rarely in...

5 Bowen Dong, et al. ∙

research

∙ 02/18/2022

End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system

End-to-end (E2E) speech recognition architectures assemble all component...

0 Zhengyi Zhang, et al. ∙

research

∙ 01/14/2022

Unsupervised Temporal Video Grounding with Deep Semantic Clustering

Temporal video grounding (TVG) aims to localize a target segment in a vi...

14 Daizong Liu, et al. ∙

research

∙ 01/03/2022

Memory-Guided Semantic Learning Network for Temporal Sentence Grounding

Temporal sentence grounding (TSG) is crucial and fundamental for video u...

0 Daizong Liu, et al. ∙

research

∙ 12/09/2021

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition

While transformers have shown great potential on video recognition tasks...

0 Yuxuan Liang, et al. ∙

research

∙ 12/08/2021

SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization

Natural language video localization (NLVL) is an important task in the v...

0 Wenbo Gou, et al. ∙

research

∙ 11/28/2021

Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation

Unsupervised domain adaptive person re-identification has received signi...

0 Yang Peng, et al. ∙

research

∙ 11/22/2021

MetaFormer is Actually What You Need for Vision

Transformers have shown great potential in computer vision tasks. A comm...

20 Weihao Yu, et al. ∙

research

∙ 09/19/2021

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition

Unifying acoustic and linguistic representation learning has become incr...

0 Guolin Zheng, et al. ∙

research

∙ 09/14/2021

Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding

A key solution to temporal sentence grounding (TSG) exists in how to lea...

0 Daizong Liu, et al. ∙

research

∙ 09/14/2021

Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos

We address the problem of temporal sentence localization in videos (TSLV...

0 Daizong Liu, et al. ∙

research

∙ 06/28/2021

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning

For an image query, unsupervised contrastive learning labels crops of th...

0 Pan Zhou, et al. ∙

research

∙ 06/17/2021

Prototypical Graph Contrastive Learning

Graph-level representations are critical in various real-world applicati...

5 Shuai Lin, et al. ∙

research

∙ 06/06/2021

Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction

The consistency of a response to a given post at semantic-level and emot...

0 Wei Wei, et al. ∙

research

∙ 06/02/2021

Exploiting Global Contextual Information for Document-level Named Entity Recognition

Most existing named entity recognition (NER) approaches are based on seq...

0 Zanbo Wang, et al. ∙

research

∙ 05/09/2021

RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things

Though deep neural network models exhibit outstanding performance for va...

5 Huming Qiu, et al. ∙

research

∙ 04/22/2021

Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting

Crowd counting has drawn much attention due to its importance in safety-...

0 Qiming Wu, et al. ∙

research

∙ 04/07/2021

Darts-Conformer: Towards Efficient Gradient-Based Neural Architecture Search For End-to-End ASR

Neural architecture search (NAS) has been successfully applied to tasks ...

0 Xian Shi, et al. ∙

research

∙ 03/22/2021

Context-aware Biaffine Localizing Network for Temporal Sentence Grounding

This paper addresses the problem of temporal sentence grounding (TSG), w...

0 Daizong Liu, et al. ∙

research

∙ 03/02/2021

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing

Deep learning techniques have achieved remarkable performance in wide-ra...

0 Wenxiao Wang, et al. ∙

research

∙ 12/22/2020

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation

Human doctors with well-structured medical knowledge can diagnose a dise...

0 Shuai Lin, et al. ∙

research

∙ 12/22/2020

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition

Low-resource automatic speech recognition (ASR) is challenging, as the l...

0 Yubei Xiao, et al. ∙

research

∙ 12/04/2020

F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation

Although deep learning based methods have achieved great progress in uns...

0 Daizong Liu, et al. ∙

research

∙ 11/23/2020

V3H: View Variation and View Heredity for Incomplete Multi-view Clustering

Real data often appear in the form of multiple incomplete views. Incompl...

0 Xiang Fang, et al. ∙

research

∙ 11/16/2020

User-based Network Embedding for Collective Opinion Spammer Detection

Due to the huge commercial interests behind online reviews, a tremendous...

0 Ziyang Wang, et al. ∙

Pan Zhou

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