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09/05/2023
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks
Predicting vehicle trajectories is crucial for ensuring automated vehicl...
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08/30/2023
Prompting Vision Language Model with Knowledge from Large Language Model for Knowledge-Based VQA
Knowledge-based visual question answering is a very challenging and wide...
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08/22/2023
Adversarial Attacks on Code Models with Discriminative Graph Patterns
Pre-trained language models of code are now widely used in various softw...
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07/26/2023
Fast algorithms for k-submodular maximization subject to a matroid constraint
In this paper, we apply a Threshold-Decreasing Algorithm to maximize k-s...
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07/23/2023
Learning Navigational Visual Representations with Semantic Map Supervision
Being able to perceive the semantics and the spatial structure of the en...
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07/11/2023
DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis
Multi-center positron emission tomography (PET) image synthesis aims at ...
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06/30/2023
Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
Large-scale visual-language pre-trained models (VLPM) have proven their ...
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06/26/2023
Approximation algorithms for k-submodular maximization subject to a knapsack constraint
In this paper, we study the problem of maximizing k-submodular functions...
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06/12/2023
On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities
As the smartphone market leader, Android has been a prominent target for...
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06/09/2023
A Survey on Cross-Architectural IoT Malware Threat Hunting
In recent years, the increase in non-Windows malware threats had turned ...
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06/05/2023
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation
Nuclei instance segmentation on histopathology images is of great clinic...
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04/19/2023
Single-View View Synthesis with Self-Rectified Pseudo-Stereo
Synthesizing novel views from a single view image is a highly ill-posed ...
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03/15/2023
PENet: A Joint Panoptic Edge Detection Network
In recent years, compact and efficient scene understanding representatio...
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03/14/2023
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
Medical phrase grounding (MPG) aims to locate the most relevant region i...
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03/06/2023
Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary Generator
Temporal action localization in videos presents significant challenges i...
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02/16/2023
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
The increasing use of Machine Learning (ML) software can lead to unfair ...
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01/30/2023
On the relaxed greedy randomized Kaczmarz methods with momentum acceleration for solving matrix equation AXB=C
With the growth of data, it is more important than ever to develop an ef...
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11/24/2022
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning
Recent years have witnessed a large amount of decentralized data in vari...
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11/10/2022
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning
Image restoration tasks have achieved tremendous performance improvement...
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10/17/2022
Morig: Motion-aware rigging of character meshes from point clouds
We present MoRig, a method that automatically rigs character meshes driv...
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09/23/2022
Modular Degradation Simulation and Restoration for Under-Display Camera
Under-display camera (UDC) provides an elegant solution for full-screen ...
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09/23/2022
Rethinking Performance Gains in Image Dehazing Networks
Image dehazing is an active topic in low-level vision, and many image de...
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07/28/2022
Skeleton-free Pose Transfer for Stylized 3D Characters
We present the first method that automatically transfers poses between s...
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07/23/2022
Audio-driven Neural Gesture Reenactment with Video Motion Graphs
Human speech is often accompanied by body gestures including arm and han...
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07/17/2022
Vision-based Relative Detection and Tracking for Teams of Micro Aerial Vehicles
In this paper, we address the vision-based detection and tracking proble...
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07/14/2022
Accelerated Federated Learning with Decoupled Adaptive Optimization
The federated learning (FL) framework enables edge clients to collaborat...
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06/22/2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Only recently, researchers attempt to provide classification algorithms ...
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06/22/2022
Play It Cool: Dynamic Shifting Prevents Thermal Throttling
Machine learning (ML) has entered the mobile era where an enormous numbe...
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06/04/2022
APES: Articulated Part Extraction from Sprite Sheets
Rigged puppets are one of the most prevalent representations to create 2...
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05/19/2022
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection
As an inherently ill-posed problem, depth estimation from single images ...
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05/18/2022
3D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesis
Potential radioactive hazards in full-dose positron emission tomography ...
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05/01/2022
Preserve Pre-trained Knowledge: Transfer Learning With Self-Distillation For Action Recognition
Video-based action recognition is one of the most popular topics in comp...
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05/01/2022
None Class Ranking Loss for Document-Level Relation Extraction
Document-level relation extraction (RE) aims at extracting relations amo...
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04/27/2022
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training
Recently, much progress has been made for self-supervised action recogni...
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04/25/2022
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server
Despite achieving remarkable performance, Federated Learning (FL) suffer...
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03/28/2022
An improved approximation algorithm for maximizing a DR-submodular function over a convex set
Maximizing a DR-submodular function subject to a general convex set is a...
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03/15/2022
Maximizing Modular plus Non-monotone Submodular Functions
The research problem in this work is the relaxation of maximizing non-ne...
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01/05/2022
Multi-Robot Collaborative Perception with Graph Neural Networks
Multi-robot systems such as swarms of aerial robots are naturally suited...
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12/11/2021
Efficient Device Scheduling with Multi-Job Federated Learning
Recent years have witnessed a large amount of decentralized data in mult...
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05/28/2021
Focus on Local: Detecting Lane Marker from Bottom Up via Key Point
Mainstream lane marker detection methods are implemented by predicting t...
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05/27/2021
Towards a Better Understanding of Linear Models for Recommendation
Recently, linear regression models, such as EASE and SLIM, have shown to...
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04/29/2021
From Distributed Machine Learning to Federated Learning: A Survey
In recent years, data and computing resources are typically distributed ...
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03/03/2021
CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge
In this paper, we present CogNet, a knowledge base (KB) dedicated to int...
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11/23/2020
Manifold Partition Discriminant Analysis
We propose a novel algorithm for supervised dimensionality reduction nam...
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11/10/2020
Neural Latent Dependency Model for Sequence Labeling
Sequence labeling is a fundamental problem in machine learning, natural ...
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06/11/2020
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction
Textual patterns (e.g., Country's president Person) are specified and/or...
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05/01/2020
RigNet: Neural Rigging for Articulated Characters
We present RigNet, an end-to-end automated method for producing animatio...
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02/28/2020
A Video Analysis Method on Wanfang Dataset via Deep Neural Network
The topic of object detection has been largely improved recently, especi...
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01/05/2020
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation
Video super-resolution aims at generating a high-resolution video from i...
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10/26/2019