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07/31/2023
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Can we better anticipate an actor's future actions (e.g. mix eggs) by kn...
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07/23/2023
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision
Visual Grounding (VG) aims at localizing target objects from an image ba...
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05/09/2023
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Change detection is an essential and widely utilized task in remote sens...
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04/13/2023
DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos
Existing implicit neural representation (INR) methods do not fully explo...
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04/11/2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
Given the ubiquity of non-separable optimization problems in real worlds...
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03/18/2023
Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning
Humans have the innate capability to answer diverse questions, which is ...
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03/12/2023
AutoOptLib: A Library of Automatically Designing Metaheuristic Optimization Algorithms in MATLAB
Metaheuristic algorithms are widely-recognized solvers for challenging o...
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03/12/2023
A Survey on Automated Design of Metaheuristic Algorithms
Metaheuristic algorithms have attracted wide attention from academia and...
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01/13/2023
Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation
Deep convolutional neural networks (DCNNs) based remote sensing (RS) ima...
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12/12/2022
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
In this paper, we present a pure-Python open-source library, called PyPo...
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11/09/2022
A theory of quantum differential equation solvers: limitations and fast-forwarding
We study the limitations and fast-forwarding of quantum algorithms for s...
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08/17/2022
Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation
Cell instance segmentation is a new and challenging task aiming at joint...
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07/14/2022
A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation
Ovarian cancer is one of the most harmful gynecological diseases. Detect...
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07/07/2022
Constrained Heterogeneous Two-facility Location Games with Max-variant Cost
In this paper, we propose a constrained heterogeneous facility location ...
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04/20/2022
Attention in Reasoning: Dataset, Analysis, and Modeling
While attention has been an increasingly popular component in deep neura...
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04/14/2022
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning
Efficient quantum compiling tactics greatly enhance the capability of qu...
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04/03/2022
AutoOpt: A Methodological Framework of Automatically Designing Metaheuristics for Optimization Problems
Metaheuristics are gradient-free and problem-independent search algorith...
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03/16/2022
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
Objective: The next generation prosthetic hand that moves and feels like...
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03/11/2022
REX: Reasoning-aware and Grounded Explanation
Effectiveness and interpretability are two essential properties for trus...
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01/26/2022
Speckle-based optical cryptosystem and its application for human face recognition via deep learning
Face recognition has recently become ubiquitous in many scenes for authe...
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01/23/2022
Learning to Predict Gradients for Semi-Supervised Continual Learning
A key challenge for machine intelligence is to learn new visual concepts...
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01/23/2022
Learning to Minimize the Remainder in Supervised Learning
The learning process of deep learning methods usually updates the model'...
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11/29/2021
Attention-based Feature Decomposition-Reconstruction Network for Scene Text Detection
Recently, scene text detection has been a challenging task. Texts with a...
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10/09/2021
A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval
Large-scale fine-grained image retrieval has two main problems. First, l...
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09/30/2021
Learning to Predict Trustworthiness with Steep Slope Loss
Understanding the trustworthiness of a prediction yielded by a classifie...
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09/19/2021
Hybrid Beamforming for RIS-Aided Communications: Fitness Landscape Analysis and Niching Genetic Algorithm
Reconfigurable Intelligent Surface (RIS) is a revolutionizing approach t...
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09/03/2021
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding
With the fast development of Deep Learning techniques, Named Entity Reco...
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08/26/2021
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
Object detection on drone-captured scenarios is a recent popular task. A...
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08/14/2021
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation
Few-shot semantic segmentation is a challenging task of predicting objec...
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06/14/2021
Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order
Gridless methods show great superiority in line spectral estimation. The...
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06/14/2021
Multiobjective Bilevel Evolutionary Approach for Off-Grid Direction-of-Arrival Estimation
The source number identification is an essential step in direction-of-ar...
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06/14/2021
Evolutionary Robust Clustering Over Time for Temporal Data
In many clustering scenes, data samples' attribute values change over ti...
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04/01/2021
Embedded Self-Distillation in Compact Multi-Branch Ensemble Network for Remote Sensing Scene Classification
Remote sensing (RS) image scene classification task faces many challenge...
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03/24/2021
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control
Objective: Deep learning-based neural decoders have emerged as the promi...
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03/14/2021
BreakingBED – Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks
Deploying convolutional neural networks (CNNs) for embedded applications...
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12/30/2020
MM-FSOD: Meta and metric integrated few-shot object detection
In the object detection task, CNN (Convolutional neural networks) models...
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12/29/2020
MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification
Remote sensing (RS) scene classification is a challenging task to predic...
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10/11/2020
A Deep Learning Framework for Predicting Digital Asset Price Movement from Trade-by-trade Data
This paper presents a deep learning framework based on Long Short-term M...
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07/28/2020
AiR: Attention with Reasoning Capability
While attention has been an increasingly popular component in deep neura...
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07/27/2020
Saliency Prediction with External Knowledge
The last decades have seen great progress in saliency prediction, with t...
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07/23/2020
Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
Few-shot object detection aims at detecting objects with few annotated e...
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07/09/2020
n-Reference Transfer Learning for Saliency Prediction
Benefiting from deep learning research and large-scale datasets, salienc...
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05/23/2020
Active Learning for Skewed Data Sets
Consider a sequential active learning problem where, at each round, an a...
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02/09/2020
GradMix: Multi-source Transfer across Domains and Tasks
The computer vision community is witnessing an unprecedented rate of new...
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12/17/2019
Direction Concentration Learning: Enhancing Congruency in Machine Learning
One of the well-known challenges in computer vision tasks is the visual ...
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11/15/2019
Human Annotations Improve GAN Performances
Generative Adversarial Networks (GANs) have shown great success in many ...
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06/07/2019
Association Between Intelligence and Cortical Thickness in Adolescents: Evidence from the ABCD Study
The relationship between the intelligence and brain morphology is warmly...
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04/27/2019
Learning metrics for persistence-based summaries and applications for graph classification
Recently a new feature representation and data analysis methodology base...
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04/08/2019
G-softmax: Improving Intra-class Compactness and Inter-class Separability of Features
Intra-class compactness and inter-class separability are crucial indicat...
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12/13/2018
