Benchmarking Neural Decoders: Benchmarking of Hardware-efficient Real-time Neural Decoding in Brain-computer Interfaces

Making it Clear: Using Vision Transformers in Multi-View Stereo on Specular and Transparent Materials

Simple Online Visual Object Tracker Fusion based on Distributed Kalman Filtering

Optical Flow Upsamplers Ignore Details: Neighborhood Attention Transformers for Convex Upsampling

Optimizing Event-Based Vision by Realizing Super-Resolution in Event-Space: an Experimental Approach

The effect of recurrence on adversarial robustness

Full Color Deep Networks

A Survey on Accelerating Sparse CNN Inference on GPUs

EV-Mask-RCNN: Instance Segmentation in Event-based Videos

Constructing and Evaluating Complex Event-based Datasets for Increasing Performance of Instance Segmentation Models

Analysis of object tracking algorithms performance on event-based datasets

Accuracy-efficiency trade-off for using event-based data when performing bounding box-based object detection

Feasibility study of "Invariant Information Clustering for Unsupervised Image Segmentation"

Frequency learning for structured CNN filters with Gaussian fractional derivatives

Using object-specific frequency information from labeled data to improve a CNN’s robustness to adversarial attacks