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09/20/2023
Prompt, Plan, Perform: LLM-based Humanoid Control via Quantized Imitation Learning
In recent years, reinforcement learning and imitation learning have show...
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09/14/2023
A Delay Compensation Framework Based on Eye-Movement for Teleoperated Ground Vehicles
An eye-movement-based predicted trajectory guidance control (ePTGC) is p...
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06/29/2023
Spiking Denoising Diffusion Probabilistic Models
Spiking neural networks (SNNs) have ultra-low energy consumption and hig...
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06/28/2023
Knowledge-Enhanced Hierarchical Information Correlation Learning for Multi-Modal Rumor Detection
The explosive growth of rumors with text and images on social media plat...
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06/22/2023
UltraGlove: Hand Pose Estimation with Mems-Ultrasonic Sensors
Hand tracking is an important aspect of human-computer interaction and h...
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05/29/2023
Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models
Existing dialogue models may encounter scenarios which are not well-repr...
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05/11/2023
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
With a fast developing pace of geographic applications, automatable and ...
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04/12/2023
DUFormer: A Novel Architecture for Power Line Segmentation of Aerial Images
Power lines pose a significant safety threat to unmanned aerial vehicles...
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04/08/2023
The Short Text Matching Model Enhanced with Knowledge via Contrastive Learning
In recent years, short Text Matching tasks have been widely applied in t...
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03/23/2023
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Multi-label recognition (MLR) with incomplete labels is very challenging...
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01/11/2023
A Multi-Modal Geographic Pre-Training Method
As a core task in location-based services (LBS) (e.g., navigation maps),...
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12/06/2022
Visual Area of Interests based Multimodal Trajectory Prediction for Probabilistic Risk Assessment
Accurate and reliable prediction of driving intentions and future trajec...
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11/29/2022
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images
Accurate segmentation of power lines in aerial images is essential to en...
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11/28/2022
Causal Deep Reinforcement Learning using Observational Data
Deep reinforcement learning (DRL) requires the collection of plenty of i...
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10/13/2022
Wider and Higher: Intensive Integration and Global Foreground Perception for Image Matting
This paper reviews recent deep-learning-based matting research and conce...
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10/12/2022
Explore Contextual Information for 3D Scene Graph Generation
3D scene graph generation (SGG) has been of high interest in computer vi...
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09/10/2022
Large-Field Contextual Feature Learning for Glass Detection
Glass is very common in our daily life. Existing computer vision systems...
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08/01/2022
Relay Hindsight Experience Replay: Continual Reinforcement Learning for Robot Manipulation Tasks with Sparse Rewards
Learning with sparse rewards is usually inefficient in Reinforcement Lea...
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05/28/2022
Differentiable Point-Based Radiance Fields for Efficient View Synthesis
We propose a differentiable rendering algorithm for efficient novel view...
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04/22/2022
Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem
We introduce the task of implicit offensive text detection in dialogues,...
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04/18/2022
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts
Inferring spatial relations in natural language is a crucial ability an ...
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04/14/2022
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking
Dialogue State Tracking (DST) aims to keep track of users' intentions du...
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03/29/2022
Hybrid Routing Transformer for Zero-Shot Learning
Zero-shot learning (ZSL) aims to learn models that can recognize unseen ...
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03/07/2022
Deep Reinforcement Learning for Entity Alignment
Embedding-based methods have attracted increasing attention in recent en...
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02/18/2022
Unleashing the Power of Transformer for Graphs
Despite recent successes in natural language processing and computer vis...
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02/17/2022
Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer
Machine learning, especially deep learning, has greatly advanced molecul...
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02/07/2022
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
Pre-trained protein models (PTPMs) represent a protein with one fixed em...
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01/23/2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding
Self-supervised protein language models have proved their effectiveness ...
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01/11/2022
On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification
Visible-infrared person re-identification (VI-ReID) has been challenging...
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01/07/2022
Cross-Modality Deep Feature Learning for Brain Tumor Segmentation
Recent advances in machine learning and prevalence of digital medical im...
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12/01/2021
Molecular Contrastive Learning with Chemical Element Knowledge Graph
Molecular representation learning contributes to multiple downstream tas...
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10/04/2021
3D-Transformer: Molecular Representation with Transformer in 3D Space
Spatial structures in the 3D space are important to determine molecular ...
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09/09/2021
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing
Tactile sensing is critical for humans to perform everyday tasks. While ...
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04/23/2021
Middle-level Fusion for Lightweight RGB-D Salient Object Detection
Most existing RGB-D salient object detection (SOD) models require large ...
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04/23/2021
Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification
Most existing cross-modality person re-identification works rely on disc...
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03/31/2021
Smart Scribbles for Image Mating
Image matting is an ill-posed problem that usually requires additional u...
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03/29/2021
Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images
Onfocus detection aims at identifying whether the focus of the individua...
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03/11/2021
Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources
Air pollution has altered the Earth radiation balance, disturbed the eco...
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03/06/2021
Factorization of the Loewner matrix pencil and its consequences
This paper starts by deriving a factorization of the Loewner matrix penc...
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02/18/2021
Densely Nested Top-Down Flows for Salient Object Detection
With the goal of identifying pixel-wise salient object regions from each...
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01/26/2021
Automatic Comic Generation with Stylistic Multi-page Layouts and Emotion-driven Text Balloon Generation
In this paper, we propose a fully automatic system for generating comic ...
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01/22/2021
Slot Self-Attentive Dialogue State Tracking
An indispensable component in task-oriented dialogue systems is the dial...
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01/07/2021
Multi-scale Information Assembly for Image Matting
Image matting is a long-standing problem in computer graphics and vision...
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08/13/2020
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction
We present a novel method for testing the safety of self-driving vehicle...
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05/29/2020
SNR-based teachers-student technique for speech enhancement
It is very challenging for speech enhancement methods to achieves robust...
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08/23/2019
DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors
Recently, single-image super-resolution has made great progress owing to...
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07/17/2019
Self-Attentive Hawkes Processes
Asynchronous events on the continuous time domain, e.g., social media ac...
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05/29/2019
Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets
In this paper, we propose a new sampler for Bayesian learning that can e...
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05/10/2019
DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering
In this paper, we present DEMC, a deep Dual-Encoder network to remove Mo...
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04/06/2019