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08/31/2023
Domain-adaptive Message Passing Graph Neural Network
Cross-network node classification (CNNC), which aims to classify nodes i...
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08/18/2023
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
Recently, the community has made tremendous progress in developing effec...
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07/07/2023
All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment
Current mainstream vision-language (VL) tracking framework consists of t...
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05/06/2023
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos
Self-supervised learning can extract representations of good quality fro...
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10/10/2022
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining
The self-supervised ultrasound (US) video model pretraining can use a sm...
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07/26/2022
A Data Driven Method for Multi-step Prediction of Ship Roll Motion in High Sea States
Accurate prediction of roll motion in high sea state is significant for ...
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05/25/2022
You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos
Moment retrieval in videos is a challenging task that aims to retrieve t...
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01/31/2022
AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus
Based on CT and MRI images acquired from normal pressure hydrocephalus (...
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10/12/2021
Relation-aware Video Reading Comprehension for Temporal Language Grounding
Temporal language grounding in videos aims to localize the temporal span...
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09/14/2020
Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue
A multi-turn dialogue is composed of multiple utterances from two or mor...
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09/14/2020
Composing Answer from Multi-spans for Reading Comprehension
This paper presents a novel method to generate answers for non-extractio...
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09/10/2020
Task-specific Objectives of Pre-trained Language Models for Dialogue Adaptation
Pre-trained Language Models (PrLMs) have been widely used as backbones i...
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08/31/2020
Receptive Multi-granularity Representation for Person Re-Identification
A key for person re-identification is achieving consistent local details...
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03/09/2020
Accurate Temporal Action Proposal Generation with Relation-Aware Pyramid Network
Accurate temporal action proposals play an important role in detecting a...
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12/24/2019
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition
A collection of approaches based on graph convolutional networks have pr...
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10/28/2019
Layer Pruning for Accelerating Very Deep Neural Networks
In this paper, we propose an adaptive pruning method. This method can cu...
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09/05/2019
Semantics-aware BERT for Language Understanding
The latest work on language representations carefully integrates context...
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08/30/2019
DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension
Multi-choice reading comprehension is a challenging task to select an an...
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08/09/2019
Relation-Aware Pyramid Network (RapNet) for temporal action proposal
In this technical report, we describe our solution to temporal action pr...
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01/27/2019
Dual Co-Matching Network for Multi-choice Reading Comprehension
Multi-choice reading comprehension is a challenging task that requires c...
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01/16/2019
Dependency or Span, End-to-End Uniform Semantic Role Labeling
Semantic role labeling (SRL) aims to discover the predicateargument stru...
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11/26/2018
One Shot Domain Adaptation for Person Re-Identification
How to effectively address the domain adaptation problem is a challengin...
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11/19/2018
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
Recently, semantic segmentation and general object detection frameworks ...
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10/29/2018
An improved hybrid CTC-Attention model for speech recognition
Recently, end-to-end speech recognition with a hybrid model consisting o...
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10/29/2018
Improved hybrid CTC-Attention model for speech recognition
Recently, end-to-end speech recognition with a hybrid model consisting o...
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10/29/2018
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition
Automatic speech recognition (ASR) tasks are resolved by end-to-end deep...
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10/26/2018
A novel pyramidal-FSMN architecture with lattice-free MMI for speech recognition
Deep Feedforward Sequential Memory Network (DFSMN) has shown superior pe...
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09/08/2018
I Know What You Want: Semantic Learning for Text Comprehension
Who did what to whom is a major focus in natural language understanding,...
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04/04/2018
Learning Discriminative Features with Multiple Granularities for Person Re-Identification
The combination of global and partial features has been an essential sol...
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03/21/2018