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06/12/2023
Fast Diffusion Model
Despite their success in real data synthesis, diffusion models (DMs) oft...
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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...
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05/06/2023
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding
This paper addresses the temporal sentence grounding (TSG). Although exi...
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03/25/2023
Masked Diffusion Transformer is a Strong Image Synthesizer
Despite its success in image synthesis, we observe that diffusion probab...
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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...
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03/05/2023
Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation
While the use of graph-structured data in various fields is becoming inc...
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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...
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02/27/2023
Contrastive Video Question Answering via Video Graph Transformer
We propose to perform video question answering (VideoQA) in a Contrastiv...
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02/21/2023
Tracking Objects and Activities with Attention for Temporal Sentence Grounding
Temporal sentence grounding (TSG) aims to localize the temporal segment ...
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02/18/2023
Backdoor Attacks to Pre-trained Unified Foundation Models
The rise of pre-trained unified foundation models breaks down the barrie...
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01/05/2023
Hypotheses Tree Building for One-Shot Temporal Sentence Localization
Given an untrimmed video, temporal sentence localization (TSL) aims to l...
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01/02/2023
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding
Temporal sentence grounding (TSG) aims to identify the temporal boundary...
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12/19/2022
Position-guided Text Prompt for Vision-Language Pre-training
Vision-Language Pre-Training (VLP) has shown promising capabilities to a...
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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...
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10/20/2022
Towards Sustainable Self-supervised Learning
Although increasingly training-expensive, most self-supervised learning ...
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10/03/2022
LPT: Long-tailed Prompt Tuning for Image Classification
For long-tailed classification, most works often pretrain a big model on...
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09/23/2022
Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval
As an increasingly popular task in multimedia information retrieval, vid...
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08/31/2022
Hierarchical Local-Global Transformer for Temporal Sentence Grounding
This paper studies the multimedia problem of temporal sentence grounding...
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08/13/2022
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Adaptive gradient algorithms borrow the moving average idea of heavy bal...
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07/12/2022
Backdoor Attacks on Crowd Counting
Crowd counting is a regression task that estimates the number of people ...
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07/12/2022
Video Graph Transformer for Video Question Answering
This paper proposes a Video Graph Transformer (VGT) model for Video Quet...
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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...
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06/08/2022
Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks
For unsupervised pretraining, mask-reconstruction pretraining (MRP) appr...
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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 ...
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03/27/2022
Mugs: A Multi-Granular Self-Supervised Learning Framework
In self-supervised learning, multi-granular features are heavily desired...
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03/14/2022
Self-Promoted Supervision for Few-Shot Transformer
The few-shot learning ability of vision transformers (ViTs) is rarely in...
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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...
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01/14/2022
Unsupervised Temporal Video Grounding with Deep Semantic Clustering
Temporal video grounding (TVG) aims to localize a target segment in a vi...
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01/03/2022
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding
Temporal sentence grounding (TSG) is crucial and fundamental for video u...
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12/09/2021
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition
While transformers have shown great potential on video recognition tasks...
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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...
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11/28/2021
Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation
Unsupervised domain adaptive person re-identification has received signi...
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11/22/2021
MetaFormer is Actually What You Need for Vision
Transformers have shown great potential in computer vision tasks. A comm...
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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...
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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...
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09/14/2021
Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos
We address the problem of temporal sentence localization in videos (TSLV...
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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...
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06/17/2021
Prototypical Graph Contrastive Learning
Graph-level representations are critical in various real-world applicati...
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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...
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06/02/2021
Exploiting Global Contextual Information for Document-level Named Entity Recognition
Most existing named entity recognition (NER) approaches are based on seq...
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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...
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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-...
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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 ...
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03/22/2021
Context-aware Biaffine Localizing Network for Temporal Sentence Grounding
This paper addresses the problem of temporal sentence grounding (TSG), w...
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03/02/2021
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing
Deep learning techniques have achieved remarkable performance in wide-ra...
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12/22/2020
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Human doctors with well-structured medical knowledge can diagnose a dise...
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12/22/2020
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
Low-resource automatic speech recognition (ASR) is challenging, as the l...
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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...
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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...
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11/16/2020
