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08/14/2023
Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing
Multi-stage architectures have exhibited efficacy in image dehazing, whi...
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05/28/2023
Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles
While autonomous vehicles (AVs) may perform remarkably well in generic r...
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05/10/2023
SPSQL: Step-by-step Parsing Based Framework for Text-to-SQL Generation
Converting text into the structured query language (Text2SQL) is a resea...
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04/16/2023
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations
Autoencoders have achieved great success in various computer vision appl...
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11/22/2022
Adaptive Dynamic Filtering Network for Image Denoising
In image denoising networks, feature scaling is widely used to enlarge t...
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11/04/2022
ISA-Net: Improved spatial attention network for PET-CT tumor segmentation
Achieving accurate and automated tumor segmentation plays an important r...
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09/17/2022
Hand and Arm Gesture-based Human-Robot Interaction: A Review
The study of Human-Robot Interaction (HRI) aims to create close and frie...
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05/10/2022
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
The existence of representative datasets is a prerequisite of many succe...
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04/13/2022
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
3D visual grounding aims to locate the referred target object in 3D poin...
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03/11/2022
Learning from Attacks: Attacking Variational Autoencoder for Improving Image Classification
Adversarial attacks are often considered as threats to the robustness of...
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10/25/2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Unsupervised reinforcement learning aims to acquire skills without prior...
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07/13/2021
Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
In recent years, recommendation systems have been widely applied in many...
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07/08/2021
First-Generation Inference Accelerator Deployment at Facebook
In this paper, we provide a deep dive into the deployment of inference a...
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07/01/2021
Deep auxiliary learning for visual localization using colorization task
Visual localization is one of the most important components for robotics...
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06/16/2021
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation
Recent development of Deep Reinforcement Learning has demonstrated super...
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02/01/2021
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces
Distance-based dynamic texture recognition is an important research fiel...
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11/30/2020
End-to-End Video Instance Segmentation with Transformers
Video instance segmentation (VIS) is the task that requires simultaneous...
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11/18/2020
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Learning depth and ego-motion from unlabeled videos via self-supervision...
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10/22/2020
Metapath- and Entity-aware Graph Neural Network for Recommendation
Due to the shallow structure, classic graph neural networks (GNNs) faile...
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05/13/2020
3D Scene Geometry-Aware Constraint for Camera Localization with Deep Learning
Camera localization is a fundamental and key component of autonomous dri...
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04/09/2020
CenterMask: single shot instance segmentation with point representation
In this paper, we propose a single-shot instance segmentation method, wh...
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10/24/2019
Interactive Image Restoration
Machine learning and many of its applications are considered hard to app...
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05/13/2019
A High-Efficiency Framework for Constructing Large-Scale Face Parsing Benchmark
Face parsing, which is to assign a semantic label to each pixel in face ...
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05/09/2019
Grand Challenge of 106-Point Facial Landmark Localization
Facial landmark localization is a very crucial step in numerous face rel...
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03/24/2019
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections
This work investigates the problem of efficiently learning discriminativ...
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02/18/2019
A Generative Map for Image-based Camera Localization
In image-based camera localization systems, information about the enviro...
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11/26/2018
A Differential Topological View of Challenges in Learning with Feedforward Neural Networks
Among many unsolved puzzles in theories of Deep Neural Networks (DNNs), ...
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10/08/2018
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations
This work studies the problem of learning appropriate low dimensional im...
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03/20/2018
Linearizing Visual Processes with Convolutional Variational Autoencoders
This work studies the problem of modeling non-linear visual processes by...
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11/17/2016
Towards a Mathematical Understanding of the Difficulty in Learning with Feedforward Neural Networks
Training deep neural networks for solving machine learning problems is o...
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10/22/2016
Reinforcement Learning in Conflicting Environments for Autonomous Vehicles
In this work, we investigate the application of Reinforcement Learning t...
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10/05/2016
ℓ_1 Regularized Gradient Temporal-Difference Learning
In this paper, we study the Temporal Difference (TD) learning with linea...
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06/16/2015
Subsampled terahertz data reconstruction based on spatio-temporal dictionary learning
In this paper, the problem of terahertz pulsed imaging and reconstructio...
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01/12/2015
Texture Retrieval via the Scattering Transform
This work studies the problem of content-based image retrieval, specific...
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12/19/2013