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09/04/2023
Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification
The pre-training task is indispensable for the text-to-image person re-i...
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08/26/2023
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation
Ultrasound (US) image segmentation is an active research area that requi...
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08/18/2023
Damping for fractional wave equations and applications to water waves
Motivated by numerically modeling surface waves for inviscid Euler equat...
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08/03/2023
Learning Implicit Entity-object Relations by Bidirectional Generative Alignment for Multimodal NER
The challenge posed by multimodal named entity recognition (MNER) is mai...
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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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07/10/2023
Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration
Stroke extraction of Chinese characters plays an important role in the f...
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06/29/2023
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation
One of the mainstream schemes for 2D human pose estimation (HPE) is lear...
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06/12/2023
Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images
Deep learning (DL) has proven highly effective for ultrasound-based comp...
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06/05/2023
Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification
Deep classifiers may encounter significant performance degradation when ...
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05/31/2023
A Unified Conditional Framework for Diffusion-based Image Restoration
Diffusion Probabilistic Models (DPMs) have recently shown remarkable per...
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05/29/2023
Medical Dialogue Generation via Dual Flow Modeling
Medical dialogue systems (MDS) aim to provide patients with medical serv...
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05/09/2023
Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue
Goal-directed dialogue systems aim to proactively reach a pre-determined...
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04/11/2023
Evaluating AIGC Detectors on Code Content
Artificial Intelligence Generated Content (AIGC) has garnered considerab...
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04/10/2023
Exploring Effective Factors for Improving Visual In-Context Learning
The In-Context Learning (ICL) is to understand a new task via a few demo...
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04/04/2023
Learning to Recover Spectral Reflectance from RGB Images
This paper tackles spectral reflectance recovery (SRR) from RGB images. ...
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03/16/2023
PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers
Existing methods of multi-person video 3D human Pose and Shape Estimatio...
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03/09/2023
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks
Deep Learning (DL) and Deep Neural Networks (DNNs) are widely used in va...
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03/08/2023
MetaMorph: Learning Metamorphic Image Transformation With Appearance Changes
This paper presents a novel predictive model, MetaMorph, for metamorphic...
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03/08/2023
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach
Deep Learning (DL) is being applied in various domains, especially in sa...
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02/23/2023
DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs
Close-up facial images captured at close distances often suffer from per...
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02/22/2023
Differentiable Rotamer Sampling with Molecular Force Fields
Molecular dynamics is the primary computational method by which modern s...
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02/18/2023
Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help
Multi-agent reinforcement learning (MARL) has achieved great progress in...
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02/10/2023
Improving Zero-Shot Coordination Performance Based on Policy Similarity
Over these years, multi-agent reinforcement learning has achieved remark...
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02/10/2023
Low Entropy Communication in Multi-Agent Reinforcement Learning
Communication in multi-agent reinforcement learning has been drawing att...
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01/30/2023
CSDR-BERT: a pre-trained scientific dataset match model for Chinese Scientific Dataset Retrieval
As the number of open and shared scientific datasets on the Internet inc...
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01/26/2023
Graph Contrastive Learning for Skeleton-based Action Recognition
In the field of skeleton-based action recognition, current top-performin...
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01/19/2023
FE-TCM: Filter-Enhanced Transformer Click Model for Web Search
Constructing click models and extracting implicit relevance feedback inf...
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12/20/2022
Scene-aware Egocentric 3D Human Pose Estimation
Egocentric 3D human pose estimation with a single head-mounted fisheye c...
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12/15/2022
COLA: Improving Conversational Recommender Systems by Collaborative Augmentation
Conversational recommender systems (CRS) aim to employ natural language ...
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12/05/2022
WAIR-D: Wireless AI Research Dataset
It is a common sense that datasets with high-quality data samples play a...
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12/04/2022
Privacy-Preserving Visual Localization with Event Cameras
We present a robust, privacy-preserving visual localization algorithm us...
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11/20/2022
Attention-based Class Activation Diffusion for Weakly-Supervised Semantic Segmentation
Extracting class activation maps (CAM) is a key step for weakly-supervis...
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11/17/2022
CAE v2: Context Autoencoder with CLIP Target
Masked image modeling (MIM) learns visual representation by masking and ...
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11/07/2022
Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining
We present a strong object detector with encoder-decoder pretraining and...
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11/02/2022
A survey on the development status and application prospects of knowledge graph in smart grids
With the advent of the electric power big data era, semantic interoperab...
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10/25/2022
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
Deformable shapes provide important and complex geometric features of ob...
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10/13/2022
U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction
High resolution and advanced semantic representation are both vital for ...
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10/13/2022
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
Recently, transformer-based networks have shown impressive results in se...
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10/04/2022
Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach
Deploying ultra-dense networks that operate on millimeter wave (mmWave) ...
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09/17/2022
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control
Flocking control is a significant problem in multi-agent systems such as...
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09/17/2022
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control
Flocking control is a challenging problem, where multiple agents, such a...
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08/19/2022
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition
In this paper, we study the problem of one-shot skeleton-based action re...
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08/06/2022
Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems
Recommendation dialogue systems aim to build social bonds with users and...
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08/06/2022
IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation
Video 3D human pose estimation aims to localize the 3D coordinates of hu...
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08/02/2022
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture
We present UnrealEgo, i.e., a new large-scale naturalistic dataset for e...
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07/25/2022
Seeing Far in the Dark with Patterned Flash
Flash illumination is widely used in imaging under low-light environment...
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07/22/2022
Dynamic Graph Reasoning for Multi-person 3D Pose Estimation
Multi-person 3D pose estimation is a challenging task because of occlusi...
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07/21/2022
UFO: Unified Feature Optimization
This paper proposes a novel Unified Feature Optimization (UFO) paradigm ...
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07/16/2022
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
Text-to-image person re-identification (ReID) aims to search for pedestr...
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07/01/2022
