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08/18/2023
Video-Instrument Synergistic Network for Referring Video Instrument Segmentation in Robotic Surgery
Robot-assisted surgery has made significant progress, with instrument se...
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08/18/2023
KESDT: knowledge enhanced shallow and deep Transformer for detecting adverse drug reactions
Adverse drug reaction (ADR) detection is an essential task in the medica...
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08/16/2023
Inherent Redundancy in Spiking Neural Networks
Spiking Neural Networks (SNNs) are well known as a promising energy-effi...
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08/05/2023
ApproBiVT: Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff Guided Early Stopping and Checkpoint Averaging
The conventional recipe for Automatic Speech Recognition (ASR) models is...
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08/01/2023
ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation
Image-grounded dialogue systems benefit greatly from integrating visual ...
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07/30/2023
A Knowledge-enhanced Two-stage Generative Framework for Medical Dialogue Information Extraction
This paper focuses on term-status pair extraction from medical dialogues...
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07/22/2023
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs
Goal-Conditioned Hierarchical Reinforcement Learning (GCHRL) is a promis...
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07/10/2023
Hate Speech Detection via Dual Contrastive Learning
The fast spread of hate speech on social media impacts the Internet envi...
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07/04/2023
Spike-driven Transformer
Spiking Neural Networks (SNNs) provide an energy-efficient deep learning...
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06/22/2023
Machine-Learning-Assisted and Real-Time-Feedback-Controlled Growth of InAs/GaAs Quantum Dots
Self-assembled InAs/GaAs quantum dots (QDs) have properties highly valua...
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06/07/2023
StructuredMesh: 3D Structured Optimization of Façade Components on Photogrammetric Mesh Models using Binary Integer Programming
The lack of façade structures in photogrammetric mesh models renders the...
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05/31/2023
ViLaS: Integrating Vision and Language into Automatic Speech Recognition
Employing additional multimodal information to improve automatic speech ...
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05/24/2023
P-vectors: A Parallel-Coupled TDNN/Transformer Network for Speaker Verification
Typically, the Time-Delay Neural Network (TDNN) and Transformer can serv...
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05/20/2023
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network
The Lottery Ticket Hypothesis (LTH) states that a randomly-initialized l...
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05/10/2023
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation
Adaptive human-agent and agent-agent cooperation are becoming more and m...
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05/08/2023
Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks
The widespread dissemination of toxic online posts is increasingly damag...
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05/07/2023
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages
Large language models (LLMs) have demonstrated remarkable language abili...
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04/12/2023
SuperpixelGraph: Semi-automatic generation of building footprint through semantic-sensitive superpixel and neural graph networks
Most urban applications necessitate building footprints in the form of c...
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03/30/2023
Semantic Image Translation for Repairing the Texture Defects of Building Models
The accurate representation of 3D building models in urban environments ...
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03/02/2023
Matching-based Term Semantics Pre-training for Spoken Patient Query Understanding
Medical Slot Filling (MSF) task aims to convert medical queries into str...
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02/02/2023
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition
The spiking neural network (SNN) using leaky-integrated-and-fire (LIF) n...
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01/30/2023
Knowledge Transfer from Pre-trained Language Models to Cif-based Speech Recognizers via Hierarchical Distillation
Large-scale pre-trained language models (PLMs) with powerful language mo...
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12/29/2022
Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network
Learning from the interaction is the primary way biological agents know ...
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11/25/2022
Privileged Prior Information Distillation for Image Matting
Performance of trimap-free image matting methods is limited when trying ...
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11/21/2022
Sequentially Sampled Chunk Conformer for Streaming End-to-End ASR
This paper presents an in-depth study on a Sequentially Sampled Chunk Co...
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11/17/2022
Token-level Speaker Change Detection Using Speaker Difference and Speech Content via Continuous Integrate-and-fire
In multi-talker scenarios such as meetings and conversations, speech pro...
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11/12/2022
Motif-topology improved Spiking Neural Network for the Cocktail Party Effect and McGurk Effect
Network architectures and learning principles are playing key in forming...
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10/19/2022
HT-Net: Hierarchical Transformer based Operator Learning Model for Multiscale PDEs
Complex nonlinear interplays of multiple scales give rise to many intere...
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09/28/2022
Attention Spiking Neural Networks
Benefiting from the event-driven and sparse spiking characteristics of t...
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06/27/2022
Sequence-level Speaker Change Detection with Difference-based Continuous Integrate-and-fire
Speaker change detection is an important task in multi-party interaction...
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05/09/2022
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation
Session-based recommendation aims to predict items that an anonymous use...
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04/20/2022
Situational Perception Guided Image Matting
Most automatic matting methods try to separate the salient foreground fr...
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04/15/2022
Improving Cross-Modal Understanding in Visual Dialog via Contrastive Learning
Visual Dialog is a challenging vision-language task since the visual dia...
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04/06/2022
PVI-DSO: Leveraging Planar Regularities for Direct Sparse Visual-Inertial Odometry
The monocular Visual-Inertial Odometry (VIO) based on the direct method ...
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03/29/2022
Shifted Chunk Encoder for Transformer Based Streaming End-to-End ASR
Currently, there are mainly three Transformer encoder based streaming En...
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03/12/2022
Recent Advances and New Frontiers in Spiking Neural Networks
In recent years, spiking neural networks (SNNs) have received extensive ...
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03/08/2022
Semantic Distillation Guided Salient Object Detection
Most existing CNN-based salient object detection methods can identify lo...
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02/25/2022
FAEP: Fast Autonomous Exploration Planner for UAV Equipped with Limited FOV Sensor
Autonomous exploration is one of the important parts to achieve the auto...
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02/18/2022
VLP: A Survey on Vision-Language Pre-training
In the past few years, the emergence of pre-training models has brought ...
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02/11/2022
Motif-topology and Reward-learning improved Spiking Neural Network for Efficient Multi-sensory Integration
Network architectures and learning principles are key in forming complex...
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01/30/2022
Improving End-to-End Contextual Speech Recognition with Fine-Grained Contextual Knowledge Selection
Nowadays, most methods in end-to-end contextual speech recognition bias ...
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01/22/2022
Semi-Supervised Adversarial Recognition of Refined Window Structures for Inverse Procedural Façade Modeling
Deep learning methods are notoriously data-hungry, which requires a larg...
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01/17/2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
Many real-world scenarios involve a team of agents that have to coordina...
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12/17/2021
Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem
Deep learning based models have significantly improved the performance o...
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11/07/2021
LiMuSE: Lightweight Multi-modal Speaker Extraction
The past several years have witnessed significant progress in modeling t...
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10/22/2021
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
Several video-based 3D pose and shape estimation algorithms have been pr...
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10/07/2021
Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction
Most existing human matting algorithms tried to separate pure human-only...
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10/02/2021
Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only
Approximate nearest neighbor (ANN) search is a fundamental problem in ar...
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09/21/2021
A Simple Unified Framework for Anomaly Detection in Deep Reinforcement Learning
Abnormal states in deep reinforcement learning (RL) are states that are ...
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09/20/2021
