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09/08/2023
Beyond Static Datasets: A Deep Interaction Approach to LLM Evaluation
Large Language Models (LLMs) have made progress in various real-world ta...
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08/06/2023
Learning Fine-Grained Features for Pixel-wise Video Correspondences
Video analysis tasks rely heavily on identifying the pixels from differe...
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07/19/2023
TinyTrain: Deep Neural Network Training at the Extreme Edge
On-device training is essential for user personalisation and privacy. Wi...
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06/07/2023
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
Approximate inference in Gaussian process (GP) models with non-conjugate...
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05/30/2023
Research on Multilingual News Clustering Based on Cross-Language Word Embeddings
Classifying the same event reported by different countries is of signifi...
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05/30/2023
The News Delivery Channel Recommendation Based on Granular Neural Network
With the continuous maturation and expansion of neural network technolog...
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05/23/2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
Embedding models have shown great power in knowledge graph completion (K...
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05/23/2023
Dual-modality Smart Shoes for Quantitative Assessment of Hemiplegic Patients' Lower Limbs' Muscle Strength
Stroke can lead to the impaired motor ability of the patient's lower lim...
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05/13/2023
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation
Deep neural networks (DNNs) achieve promising performance in visual reco...
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05/13/2023
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation
Source-free domain adaptation aims to adapt deep neural networks using o...
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04/18/2023
Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes
Multi-frame depth estimation generally achieves high accuracy relying on...
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03/20/2023
Resilient conductive membrane synthesized by in-situ polymerisation for wearable non-invasive electronics on moving appendages of cyborg insect
By leveraging their high mobility and small size, insects have been comb...
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03/20/2023
Feature Alignment and Uniformity for Test Time Adaptation
Test time adaptation (TTA) aims to adapt deep neural networks when recei...
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03/17/2023
LSwinSR: UAV Imagery Super-Resolution based on Linear Swin Transformer
Super-resolution, which aims to reconstruct high-resolution images from ...
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03/17/2023
Prototype Knowledge Distillation for Medical Segmentation with Missing Modality
Multi-modality medical imaging is crucial in clinical treatment as it ca...
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03/07/2023
Bootstrap The Original Latent: Learning a Private Model from a Black-box Model
In this paper, considering the balance of data/model privacy of model ow...
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01/29/2023
Producing Usable Taxonomies Cheaply and Rapidly at Pinterest Using Discovered Dynamic μ-Topics
Creating a taxonomy of interests is expensive and human-effort intensive...
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12/24/2022
A Large-scale Friend Suggestion Architecture
Online social as an extension of traditional life plays an important rol...
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12/15/2022
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation
Recent image degradation estimation methods have enabled single-image su...
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12/10/2022
Expanding Knowledge Graphs with Humans in the Loop
Curated knowledge graphs encode domain expertise and improve the perform...
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12/08/2022
NRTR: Neuron Reconstruction with Transformer from 3D Optical Microscopy Images
The neuron reconstruction from raw Optical Microscopy (OM) image stacks ...
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11/22/2022
Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks
A biological system is a complex network of heterogeneous molecular enti...
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11/11/2022
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds
Gaussian process training decomposes into inference of the (approximate)...
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10/26/2022
Learning on Large-scale Text-attributed Graphs via Variational Inference
This paper studies learning on text-attributed graphs (TAGs), where each...
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10/19/2022
The Future of Consumer Edge-AI Computing
Deep Learning has proliferated dramatically across consumer devices in l...
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10/17/2022
Test-Time Training for Graph Neural Networks
Graph Neural Networks (GNNs) have made tremendous progress in the graph ...
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10/16/2022
A Policy-based Approach to the SpecAugment Method for Low Resource E2E ASR
SpecAugment is a very effective data augmentation method for both HMM an...
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09/16/2022
Spatial-then-Temporal Self-Supervised Learning for Video Correspondence
Learning temporal correspondence from unlabeled videos is of vital impor...
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08/26/2022
Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning
Due to the difficulties of obtaining multimodal paired images in clinica...
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08/26/2022
TFusion: Transformer based N-to-One Multimodal Fusion Block
People perceive the world with different senses, such as sight, hearing,...
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07/03/2022
Finding Top-r Influential Communities under Aggregation Functions
Community search is a problem that seeks cohesive and connected subgraph...
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06/13/2022
A Sahlqvist-style Correspondence Theorem for Linear-time Temporal Logic
The language of modal logic is capable of expressing first-order conditi...
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05/27/2022
A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching
The fusion of camera sensor and inertial data is a leading method for eg...
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04/28/2022
Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation
In clinical practice, well-aligned multi-modal images, such as Magnetic ...
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04/14/2022
HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images
Different from handcrafted features, deep neural networks can automatica...
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03/21/2022
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation
We introduce a novel frame-interpolation-based method for slice imputati...
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03/04/2022
TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks
The Covid-19 pandemic has forced the workforce to switch to working from...
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02/28/2022
Neural Adaptive SCEne Tracing
Neural rendering with implicit neural networks has recently emerged as a...
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02/16/2022
HousE: Knowledge Graph Embedding with Householder Parameterization
The effectiveness of knowledge graph embedding (KGE) largely depends on ...
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02/04/2022
NeAT: Neural Adaptive Tomography
In this paper, we present Neural Adaptive Tomography (NeAT), the first a...
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02/01/2022
Dilated Continuous Random Field for Semantic Segmentation
Mean field approximation methodology has laid the foundation of modern C...
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01/11/2022
Motion-Focused Contrastive Learning of Video Representations
Motion, as the most distinct phenomenon in a video to involve the change...
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12/14/2021
Improving Spectral Graph Convolution for Learning Graph-level Representation
From the original theoretically well-defined spectral graph convolution ...
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11/29/2021
BuildFormer: Automatic building extraction with vision transformer
Building extraction from fine-resolution remote sensing images plays a v...
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10/25/2021
Shape and Reflectance Reconstruction in Uncontrolled Environments by Differentiable Rendering
Simultaneous reconstruction of geometry and reflectance properties in un...
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10/11/2021
Achieving safe minimum circle circumnavigation around multiple targets: a dynamic compensation approach
Minimum circle circumnavigation is proposed in this paper, which is of s...
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09/27/2021
Inferring Facing Direction from Voice Signals
Consider a home or office where multiple devices are running voice assis...
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09/23/2021
Unet-TTS: Improving Unseen Speaker and Style Transfer in One-shot Voice Cloning
One-shot voice cloning aims to transform speaker voice and speaking styl...
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09/18/2021
Efficient Hybrid Transformer: Learning Global-local Context for Urban Sence Segmentation
Semantic segmentation of fine-resolution urban scene images plays a vita...
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08/26/2021
