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08/04/2023
DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field
Estimating 6D poses and reconstructing 3D shapes of objects in open-worl...
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06/06/2023
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion
The raw depth image captured by indoor depth sensors usually has an exte...
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03/23/2023
CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network
In this paper, we propose a novel representation for grasping using cont...
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03/23/2023
CP^3: Channel Pruning Plug-in for Point-based Networks
Channel pruning can effectively reduce both computational cost and memor...
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07/24/2022
Label-Guided Auxiliary Training Improves 3D Object Detector
Detecting 3D objects from point clouds is a practical yet challenging ta...
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03/21/2022
RGB-Depth Fusion GAN for Indoor Depth Completion
The raw depth image captured by the indoor depth sensor usually has an e...
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02/17/2022
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving
Vision-based autonomous urban driving in dense traffic is quite challeng...
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10/21/2021
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization
Deep convolutional neural networks are shown to be overkill with high pa...
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07/23/2021
Human Pose Transfer with Disentangled Feature Consistency
Deep generative models have made great progress in synthesizing images w...
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02/19/2021
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?
In deep model compression, the recent finding "Lottery Ticket Hypothesis...
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11/05/2020
Fast Object Detection with Latticed Multi-Scale Feature Fusion
Scale variance is one of the crucial challenges in multi-scale object de...
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11/05/2020
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Video anomaly detection is commonly used in many applications such as se...
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11/04/2020
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search
The convolutional neural network has achieved great success in fulfillin...
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10/15/2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
While Deep Reinforcement Learning (DRL) has emerged as a promising appro...
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04/03/2019
D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
Driving datasets accelerate the development of intelligent driving and r...
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10/23/2017
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets
Deep learning models (aka Deep Neural Networks) have revolutionized many...
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09/06/2017
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
The rapid growth of Electronic Health Records (EHRs), as well as the acc...
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01/25/2017
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding
The widespread availability of electronic health records (EHRs) promises...
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06/06/2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Multivariate time series data in practical applications, such as health ...
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12/11/2015