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09/15/2023
Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person Retrieval
Person re-identification (re-ID) requires densely distributed cameras. I...
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09/11/2023
An Effective Two-stage Training Paradigm Detector for Small Dataset
Learning from the limited amount of labeled data to the pre-train model ...
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08/29/2023
Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning
This paper introduces a new and challenging Hidden Intention Discovery (...
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08/19/2023
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection
Early detection of dysplasia of the cervix is critical for cervical canc...
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08/10/2023
A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement
Underwater images often suffer from color distortion and low contrast re...
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08/10/2023
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting
Domain adaptation is commonly employed in crowd counting to bridge the d...
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08/06/2023
NNVISR: Bring Neural Network Video Interpolation and Super Resolution into Video Processing Framework
We present NNVISR - an open-source filter plugin for the VapourSynth vid...
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07/31/2023
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement
Most existing Low-Light Image Enhancement (LLIE) methods are primarily d...
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07/16/2023
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
Unsupervised domain adaptation (DA) with the aid of pseudo labeling tech...
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06/28/2023
The LDBC Financial Benchmark
The Linked Data Benchmark Council's Financial Benchmark (LDBC FinBench) ...
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06/21/2023
FLGo: A Fully Customizable Federated Learning Platform
Federated learning (FL) has found numerous applications in healthcare, f...
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06/20/2023
TransRef: Multi-Scale Reference Embedding Transformer for Reference-Guided Image Inpainting
Image inpainting for completing complicated semantic environments and di...
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06/19/2023
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
Spatial-temporal graph learning has emerged as a promising solution for ...
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06/03/2023
Optimized Vectorization Implementation of CRYSTALS-Dilithium
CRYSTALS-Dilithium is a lattice-based signature scheme to be standardize...
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06/02/2023
FREPA: An Automated and Formal Approach to Requirement Modeling and Analysis in Aircraft Control Domain
Formal methods are promising for modeling and analyzing system requireme...
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05/20/2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
Many text mining models are constructed by fine-tuning a large deep pre-...
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05/09/2023
Group Activity Recognition via Dynamic Composition and Interaction
Previous group activity recognition approaches were limited to reasoning...
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03/23/2023
ScanERU: Interactive 3D Visual Grounding based on Embodied Reference Understanding
Aiming to link natural language descriptions to specific regions in a 3D...
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03/16/2023
Adaptive Modeling of Uncertainties for Traffic Forecasting
Deep neural networks (DNNs) have emerged as a dominant approach for deve...
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03/15/2023
DiffusionAD: Denoising Diffusion for Anomaly Detection
Anomaly detection is widely applied due to its remarkable effectiveness ...
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02/16/2023
Enhancing High-dimensional Bayesian Optimization by Optimizing the Acquisition Function Maximizer Initialization
Bayesian optimization (BO) is widely used to optimize black-box function...
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02/03/2023
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization
In this paper, we propose REASON, a novel framework that enables the aut...
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12/12/2022
HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
Adversarial attacks on thermal infrared imaging expose the risk of relat...
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12/11/2022
Error-aware Quantization through Noise Tempering
Quantization has become a predominant approach for model compression, en...
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12/05/2022
Prototypical Residual Networks for Anomaly Detection and Localization
Anomaly detection and localization are widely used in industrial manufac...
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11/25/2022
Federated Graph-based Sampling with Arbitrary Client Availability
While federated learning has shown strong results in optimizing a machin...
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11/15/2022
On Inferring User Socioeconomic Status with Mobility Records
When users move in a physical space (e.g., an urban space), they would h...
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11/12/2022
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
Detecting anomalous trajectories has become an important task in many lo...
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10/31/2022
UmeTrack: Unified multi-view end-to-end hand tracking for VR
Real-time tracking of 3D hand pose in world space is a challenging probl...
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10/21/2022
Programming Bare-Metal Accelerators with Heterogeneous Threading Models: A Case Study of Matrix-3000
As the hardware industry moves towards using specialized heterogeneous m...
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10/21/2022
Context-Enhanced Stereo Transformer
Stereo depth estimation is of great interest for computer vision researc...
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10/21/2022
A Survey of Data Optimization for Problems in Computer Vision Datasets
Recent years have witnessed remarkable progress in artificial intelligen...
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10/13/2022
SQuAT: Sharpness- and Quantization-Aware Training for BERT
Quantization is an effective technique to reduce memory footprint, infer...
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09/30/2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Although Deep Neural Networks (DNNs) have achieved impressive results in...
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09/23/2022
Faith: An Efficient Framework for Transformer Verification on GPUs
Transformer verification draws increasing attention in machine learning ...
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09/14/2022
Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms
The increasing size of input graphs for graph neural networks (GNNs) hig...
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08/06/2022
Detecting Algorithmically Generated Domains Using a GCNN-LSTM Hybrid Neural Network
Domain generation algorithm (DGA) is used by botnets to build a stealthy...
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08/01/2022
Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem
Recent research on the robustness of deep learning has shown that Vision...
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07/29/2022
Reference-Guided Texture and Structure Inference for Image Inpainting
Existing learning-based image inpainting methods are still in challenge ...
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07/13/2022
You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution
Spatial-Temporal Video Super-Resolution (ST-VSR) technology generates hi...
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07/08/2022
Nonparametric Embeddings of Sparse High-Order Interaction Events
High-order interaction events are common in real-world applications. Lea...
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07/06/2022
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition
Tensor decomposition is a fundamental framework to analyze data that can...
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07/01/2022
Infinite-Fidelity Coregionalization for Physical Simulation
Multi-fidelity modeling and learning are important in physical simulatio...
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06/19/2022
Towards Generalizable Person Re-identification with a Bi-stream Generative Model
Generalizable person re-identification (re-ID) has attracted growing att...
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06/17/2022
Improving Generalization of Metric Learning via Listwise Self-distillation
Most deep metric learning (DML) methods employ a strategy that forces al...
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06/16/2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing
With the increasing popularity of robotics in industrial control and aut...
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06/10/2022
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label Diffusion
Understanding foggy image sequence in the driving scenes is critical for...
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05/22/2022
Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval
The large variation of viewpoint and irrelevant content around the targe...
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05/11/2022
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning
Spatial-Temporal Video Super-Resolution (ST-VSR) aims to generate super-...
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05/07/2022