Search Results for author:
Found 7 papers, 1 papers with code
Event-Based Eye Tracking. AIS 2024 Challenge Survey
This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge.
A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization
These cameras implicitly capture movement and depth information in events, making them appealing sensors for Camera Pose Relocalization (CPR) tasks.
AFPR-CIM: An Analog-Domain Floating-Point RRAM-based Compute-In-Memory Architecture with Dynamic Range Adaptive FP-ADC
Moreover, a novel FP-DAC is also implemented which reconstructs FP digital codes into analog values to perform analog computation.
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks
We link the degraded accuracy to the vanishing of gradient on the temporal dimension through the analytical and experimental study of the training process of Leaky Integrate-and-Fire (LIF) Neuron-based SNNs.
SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
Moreover, it also achieves SOTA performance across all methods on three datasets, utilizing approximately 0. 3\% of the parameters and 0. 5\% of power consumption employed by artificial neural networks (ANNs).
TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras
In the experiment, TTPOINT emerged as the SOTA method on three datasets while also attaining SOTA among point cloud methods on all five datasets.
Multi-Graph Convolution Network for Pose Forecasting
The most commonly used models for this task are autoregressive models, such as recurrent neural networks (RNNs) or variants, and Transformer Networks.
