Search Results for author:
Found 10 papers, 3 papers with code
G-MEMP: Gaze-Enhanced Multimodal Ego-Motion Prediction in Driving
In contrast, we focus on inferring the ego trajectory of a driver's vehicle using their gaze data.
Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions
In this work, we propose to predict 3D eye gaze from weak supervision of eye semantic segmentation masks and direct supervision of a few 3D gaze vectors.
Surface Normal Clustering for Implicit Representation of Manhattan Scenes
In this work, we aim to leverage the geometric prior of Manhattan scenes to improve the implicit neural radiance field representations.
Gradient Obfuscation Checklist Test Gives a False Sense of Security
It has since become a trend to use these five characteristics as a sufficient test, to determine whether or not gradient obfuscation is the main source of robustness.
Spatially Multi-conditional Image Generation
However, multi-conditional image generation is a very challenging problem due to the heterogeneity and the sparsity of the (in practice) available conditioning labels.
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers
We use linear layers with token-consistent stochastic parameters inside the multilayer perceptron blocks, without altering the architecture of the transformer.
Rethinking Global Context in Crowd Counting
This paper investigates the role of global context for crowd counting.
Jump-induced mixed-mode oscillations through piecewise-affine maps
Mixed-mode oscillations (MMOs) are complex oscillatory patterns in which large-amplitude relaxation oscillations (LAOs) alternate with small-amplitude oscillations (SAOs).
Dynamical Systems 34C26
Task Switching Network for Multi-Task Learning
Multiple tasks are performed by switching between them, performing one task at a time.
CompositeTasking: Understanding Images by Spatial Composition of Tasks
Learning to perform spatially distributed tasks is motivated by the frequent availability of only sparse labels across tasks, and the desire for a compact multi-tasking network.
