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09/06/2023
A Multimodal Learning Framework for Comprehensive 3D Mineral Prospectivity Modeling with Jointly Learned Structure-Fluid Relationships
This study presents a novel multimodal fusion model for three-dimensiona...
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07/27/2023
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking
We introduce PointOdyssey, a large-scale synthetic dataset, and data gen...
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04/05/2023
DPPD: Deformable Polar Polygon Object Detection
Regular object detection methods output rectangle bounding boxes, which ...
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01/03/2023
Saliency-Aware Spatio-Temporal Artifact Detection for Compressed Video Quality Assessment
Compressed videos often exhibit visually annoying artifacts, known as Pe...
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11/05/2022
Stateful Detection of Adversarial Reprogramming
Adversarial reprogramming allows stealing computational resources by rep...
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09/12/2022
On the Optimization Landscape of Dynamic Output Feedback: A Case Study for Linear Quadratic Regulator
The convergence of policy gradient algorithms in reinforcement learning ...
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07/13/2022
6D Camera Relocalization in Visually Ambiguous Extreme Environments
We propose a novel method to reliably estimate the pose of a camera give...
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04/20/2022
GIMO: Gaze-Informed Human Motion Prediction in Context
Predicting human motion is critical for assistive robots and AR/VR appli...
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04/11/2022
Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks
Recurrent Neural Networks (RNN) are ubiquitous computing systems for seq...
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09/02/2021
Learning 3D Mineral Prospectivity from 3D Geological Models with Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit
The three-dimensional (3D) geological models are the typical and key dat...
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08/26/2021
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference
Adversarial reprogramming allows repurposing a machine-learning model to...
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05/01/2021
DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras
We propose DeepMultiCap, a novel method for multi-person performance cap...
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07/22/2020
Sum-of-squares chordal decomposition of polynomial matrix inequalities
We prove three decomposition results for sparse positive (semi-)definite...
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06/12/2020
BI-MAML: Balanced Incremental Approach for Meta Learning
We present a novel Balanced Incremental Model Agnostic Meta Learning sys...
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04/05/2020
MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation
Point clouds have been widely adopted in 3D semantic scene understanding...
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03/25/2020
R-FORCE: Robust Learning for Random Recurrent Neural Networks
Random Recurrent Neural Networks (RRNN) are the simplest recurrent netwo...
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03/16/2019
GFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection
Pedestrian detection is an essential task in autonomous driving research...
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03/11/2019
Exploring OpenStreetMap Availability for Driving Environment Understanding
With the great achievement of artificial intelligence, vehicle technolog...
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10/10/2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Most existing deep reinforcement learning (DRL) frameworks consider eith...
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09/19/2018