research
∙
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...
share
research
∙
06/15/2023
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning
Intrathoracic airway segmentation in computed tomography (CT) is a prere...
research
∙
03/23/2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
In recommendation systems, a large portion of the ratings are missing du...
research
∙
02/28/2023
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing
Lighting effects such as shadows or reflections are key in making synthe...
research
∙
08/30/2022
Joint Resource Allocation and Configuration Design for STAR-RIS-Enhanced Wireless-Powered MEC
In this paper, a novel concept called simultaneously transmitting and re...
research
∙
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...
research
∙
05/20/2022
Lossless Acceleration for Seq2seq Generation with Aggressive Decoding
We study lossless acceleration for seq2seq generation with a novel decod...
research
∙
05/14/2022
RiCS: A 2D Self-Occlusion Map for Harmonizing Volumetric Objects
There have been remarkable successes in computer vision with deep learni...
research
∙
05/11/2022
Relational Triple Extraction: One Step is Enough
Extracting relational triples from unstructured text is an essential tas...
research
∙
03/15/2022
Maximizing Modular plus Non-monotone Submodular Functions
The research problem in this work is the relaxation of maximizing non-ne...
research
∙
03/08/2022
Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification
Hierarchical text classification is a challenging subtask of multi-label...
research
∙
01/31/2022
Distributed Quantum Vote Based on Quantum Logical Operators, a New Battlefield of the Second Quantum Revolution
We designed two rules of binary quantum computed vote: Quantum Logical V...
research
∙
01/26/2022
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model
Synthetic data construction of Grammatical Error Correction (GEC) for no...
research
∙
11/09/2021
Dynamics of charged particles moving around Kerr black hole with inductive charge and external magnetic field
We mainly focus on the effects of small changes of parameters on the dyn...
research
∙
10/12/2021
Relation-aware Video Reading Comprehension for Temporal Language Grounding
Temporal language grounding in videos aims to localize the temporal span...
research
∙
10/11/2021
SurroundNet: Towards Effective Low-Light Image Enhancement
Although Convolution Neural Networks (CNNs) has made substantial progres...
research
∙
08/05/2021
M2IOSR: Maximal Mutual Information Open Set Recognition
In this work, we aim to address the challenging task of open set recogni...
research
∙
07/15/2021
Single-image Full-body Human Relighting
We present a single-image data-driven method to automatically relight im...
research
∙
06/21/2021
Knowledge Distillation via Instance-level Sequence Learning
Recently, distillation approaches are suggested to extract general knowl...
research
∙
06/09/2021
Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding
In this paper, we propose Shallow Aggressive Decoding (SAD) to improve t...
research
∙
04/27/2021
Network Embedding via Deep Prediction Model
Network-structured data becomes ubiquitous in daily life and is growing ...
research
∙
04/18/2021
Gaussian Dynamic Convolution for Efficient Single-Image Segmentation
Interactive single-image segmentation is ubiquitous in the scientific an...
research
∙
04/12/2021
Dual Discriminator Adversarial Distillation for Data-free Model Compression
Knowledge distillation has been widely used to produce portable and effi...
research
∙
03/18/2021
Similarity Transfer for Knowledge Distillation
Knowledge distillation is a popular paradigm for learning portable neura...
research
∙
08/12/2020
Open Set Recognition with Conditional Probabilistic Generative Models
Deep neural networks have made breakthroughs in a wide range of visual u...
research
∙
04/21/2020
Bit Commitment for Lottery and Auction on Quantum Blockchain
This paper propose a protocol for lottery and a protocol for auction on ...
research
∙
04/21/2020
Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction
Relation ties, defined as the correlation and mutual exclusion between d...
research
∙
03/20/2020
Multi-party Quantum Byzantine Agreement Without Entanglement
In this paper we propose a protocol of quantum communication to achieve ...
research
∙
03/19/2020
Conditional Gaussian Distribution Learning for Open Set Recognition
Deep neural networks have achieved state-of-the-art performance in a wid...
research
∙
03/04/2020
MIMO-NOMA Networks Relying on Reconfigurable Intelligent Surface: A Signal Cancellation Based Design
Reconfigurable intelligent surface (RIS) technique stands as a promising...
research
∙
02/18/2020
High-Order Paired-ASPP Networks for Semantic Segmenation
Current semantic segmentation models only exploit first-order statistics...
research
∙
01/11/2020
NOMA Enhanced Terrestrial and Aerial IoT Networks with Partial CSI
This article investigates a non-orthogonal multiple access (NOMA) enhanc...
research
∙
12/20/2019
Reconfigurable Intelligent Surface Aided NOMA Networks
Reconfigurable intelligent surfaces (RISs) constitute a promising perfor...
research
∙
12/13/2019
Multi-level Similarity Learning for Low-Shot Recognition
Low-shot learning indicates the ability to recognize unseen objects base...
research
∙
10/17/2019
LibriVoxDeEn: A Corpus for German-to-English Speech Translation and Speech Recognition
We present a corpus of sentence-aligned triples of German audio, German ...
research
∙
10/02/2019
MIMO Assisted Networks Relying on Large Intelligent Surfaces: A Stochastic Geometry Model
Large intelligent surfaces (LISs) constitute a promising performance enh...
research
∙
07/23/2019
Few-shot Learning for Domain-specfic Fine-grained Image Classfication
Learning to recognize novel visual categories from a few examples is a c...
research
∙
07/23/2019
Highlight Every Step: Knowledge Distillation via Collaborative Teaching
High storage and computational costs obstruct deep neural networks to be...
research
∙
07/12/2019
Non-Orthogonal Multiple Access in UAV-to-Everything (U2X) Networks
This article investigates the non-orthogonal multiple access (NOMA) enha...
research
∙
02/05/2019
Exploiting NOMA/OMA for Multi-UAV Communications in Large-Scale Networks
This paper advocates a pair of strategies in non-orthogonal multiple acc...
research
∙
05/29/2018
A Simple Voting Protocol on Quantum Blockchain
This paper proposes a simple voting scheme based on quantum blockchain. ...
research
∙
05/17/2018
Quantum-enhanced Logic-based Blockchain I: Quantum Honest-success Byzantine Agreement and Qulogicoin
We proposed a framework of quantum-enhanced logic-based blockchain, whic...
research
∙
05/17/2018
Quantum-enhanced Logic-based Blochchain I: Quantum Honest-success Byzantine Agreement and Qulogicoin
We proposed a framework of quantum-enhanced logic-based blockchain, whic...
research
∙
05/14/2018
Multiple Antenna Aided NOMA in UAV Networks: A Stochastic Geometry Approach
This article investigates the multiple-input multiple-output (MIMO) non-...
research
∙
05/19/2017
