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08/12/2023
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services
Deploying high-performance convolutional neural network (CNN) models on ...
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08/10/2023
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization
Evolutionary multi-objective optimization (EMO) algorithms have been dem...
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08/03/2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
Multi-task learning (MTL) seeks to learn a single model to accomplish mu...
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07/24/2023
Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons
Event-based sensors, with their high temporal resolution (1us) and dynam...
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07/23/2023
Scale jump-aware pose graph relaxation for monocular SLAM with re-initializations
Pose graph relaxation has become an indispensable addition to SLAM enabl...
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06/21/2023
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free Inference
Advancements in adapting deep convolution architectures for Spiking Neur...
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05/04/2023
Rethinking Population-assisted Off-policy Reinforcement Learning
While off-policy reinforcement learning (RL) algorithms are sample effic...
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03/24/2023
Accelerating Vision-Language Pretraining with Free Language Modeling
The state of the arts in vision-language pretraining (VLP) achieves exem...
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03/11/2023
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos
Joint video-language learning has received increasing attention in recen...
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03/07/2023
Evolutionary Reinforcement Learning: A Survey
Reinforcement learning (RL) is a machine learning approach that trains a...
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01/29/2023
EvoX: A Distributed GPU-accelerated Library towards Scalable Evolutionary Computation
During the past decades, evolutionary computation (EC) has demonstrated ...
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09/21/2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
Despite the emerging progress of integrating evolutionary computation in...
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08/14/2022
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation
The architectural advancements in deep neural networks have led to remar...
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08/08/2022
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
The ongoing advancements in network architecture design have led to rema...
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07/12/2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures
Deep neural networks have been found vulnerable to adversarial attacks, ...
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07/03/2022
Exploiting Context Information for Generic Event Boundary Captioning
Generic Event Boundary Captioning (GEBC) aims to generate three sentence...
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06/17/2022
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
Existing vision-language pre-training (VLP) methods primarily rely on pa...
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05/25/2022
Spotlights: Probing Shapes from Spherical Viewpoints
Recent years have witnessed the surge of learned representations that di...
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05/12/2022
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization
Camera relocalization is the key component of simultaneous localization ...
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04/13/2022
Semantic-Aware Pretraining for Dense Video Captioning
This report describes the details of our approach for the event dense-ca...
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10/08/2021
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation
For the goal of automated design of high-performance deep convolutional ...
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10/04/2021
Revisiting Self-Training for Few-Shot Learning of Language Model
As unlabeled data carry rich task-relevant information, they are proven ...
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08/18/2021
GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network
Panoptic segmentation as an integrated task of both static environmental...
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08/17/2021
End-to-End Dense Video Captioning with Parallel Decoding
Dense video captioning aims to generate multiple associated captions wit...
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08/16/2021
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
Recent advancements in deep neural networks have made remarkable leap-fo...
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03/16/2021
Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions
Autonomous driving vehicles and robotic systems rely on accurate percept...
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03/15/2021
S3Net: 3D LiDAR Sparse Semantic Segmentation Network
Semantic Segmentation is a crucial component in the perception systems o...
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02/08/2021
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Autonomous robotic systems and self driving cars rely on accurate percep...
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12/16/2020
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds
With the increasing reliance of self-driving and similar robotic systems...
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11/27/2020
Multi-objective Neural Architecture Search with Almost No Training
In the recent past, neural architecture search (NAS) has attracted incre...
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09/14/2020
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Despite the remarkable successes of Convolutional Neural Networks (CNNs)...
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08/04/2020
Multimodal Image-to-Image Translation via a Single Generative Adversarial Network
Despite significant advances in image-to-image (I2I) translation with Ge...
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03/10/2020
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction
With an exponential explosive growth of various digital text information...
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03/07/2020
Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
The performance of a deep neural network is heavily dependent on its arc...
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03/07/2020
Ternary Compression for Communication-Efficient Federated Learning
Learning over massive data stored in different locations is essential in...
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10/11/2019
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks (GANs)
Recently, more and more works have proposed to drive evolutionary algori...
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07/10/2019
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks
Recently, more and more works have proposed to drive evolutionary algori...
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06/07/2018
Multiobjective Test Problems with Degenerate Pareto Fronts
In multiobjective optimization, a set of scalable test problems with a v...
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01/04/2017