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07/19/2023
Global Inequality in Cooling from Urban Green Spaces and its Climate Change Adaptation Potential
Heat extremes are projected to severely impact humanity and with increas...
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01/19/2023
Regularizing disparity estimation via multi task learning with structured light reconstruction
3D reconstruction is a useful tool for surgical planning and guidance. H...
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11/20/2022
Learning to Search for Job Shop Scheduling via Deep Reinforcement Learning
Recent studies in using deep reinforcement learning (DRL) to solve Job-s...
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08/17/2022
Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency
Depth estimation is a crucial step for image-guided intervention in robo...
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01/14/2022
Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation
Re-ranking models refine the item recommendation list generated by the p...
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10/23/2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Priority dispatching rule (PDR) is widely used for solving real-world Jo...
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07/28/2020
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization
Latent factor models play a dominant role among recommendation technique...
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07/28/2020
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems
Graph-based recommendation models work well for top-N recommender system...
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07/17/2020
3D Human Shape Reconstruction from a Polarization Image
This paper tackles the problem of estimating 3D body shape of clothed hu...
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04/30/2020
Polarization Human Shape and Pose Dataset
Polarization images are known to be able to capture polarized reflected ...
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12/23/2019
Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network
Most recent existing aspect-term level sentiment analysis (ATSA) approac...
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12/23/2019
Hunt Protagonist of Sentiment: Sentiment Analysis via Capsule Network with Sentiment-Aspect Reconstruction
Aspect-term level sentiment analysis (ATSA) is a fine-grained task in se...
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01/11/2017
Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications
This paper studies the problem of multivariate linear regression where a...
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12/02/2016
Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects
This paper focuses on the challenging problem of 3D pose estimation of a...
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09/13/2016
Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups
Pose estimation, tracking, and action recognition of articulated objects...
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06/07/2016