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08/28/2023
INF: Implicit Neural Fusion for LiDAR and Camera
Sensor fusion has become a popular topic in robotics. However, conventio...
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05/29/2023
Hierarchical Neural Memory Network for Low Latency Event Processing
This paper proposes a low latency neural network architecture for event-...
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02/21/2023
Crowd simulation incorporating a route choice model and similarity evaluation using real large-scale data
Modeling and simulation approaches that express crowd movement with math...
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12/13/2022
Multi-objective Tree-structured Parzen Estimator Meets Meta-learning
Hyperparameter optimization (HPO) is essential for the better performanc...
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12/01/2022
Efficient stereo matching on embedded GPUs with zero-means cross correlation
Mobile stereo-matching systems have become an important part of many app...
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12/01/2022
Fast convolution kernels on pascal GPU with high memory efficiency
The convolution computation is widely used in many fields, especially in...
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11/24/2021
How does AI play football? An analysis of RL and real-world football strategies
Recent advances in reinforcement learning (RL) have made it possible to ...
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04/22/2021
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
This paper proposes a novel heterogeneous grid convolution that builds a...
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02/08/2021
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference
Crowd movement guidance has been a fascinating problem in various fields...
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12/13/2020
Warm Starting CMA-ES for Hyperparameter Optimization
Hyperparameter optimization (HPO), formulated as black-box optimization ...
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07/28/2020
Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling
Detecting sound source objects within visual observation is important fo...
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01/21/2020