Search Results for author:
Found 13 papers, 2 papers with code
Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors
In this paper, we propose to address patched visual prompt injection, where adversaries exploit adversarial patches to generate target content in VLMs.
BEV$^2$PR: BEV-Enhanced Visual Place Recognition with Structural Cues
2) The lower layers of the pre-trained backbone from BEV generation are shared for visual and structural streams in VPR, facilitating the learning of fine-grained local features in the visual stream.
Emergent Bio-Functional Similarities in a Cortical-Spike-Train-Decoding Spiking Neural Network Facilitate Predictions of Neural Computation
Despite its better bio-plausibility, goal-driven spiking neural network (SNN) has not achieved applicable performance for classifying biological spike trains, and showed little bio-functional similarities compared to traditional artificial neural networks.
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Neural networks have been rapidly expanding in recent years, with novel strategies and applications.
Generative Compression for Face Video: A Hybrid Scheme
As the latest video coding standard, versatile video coding (VVC) has shown its ability in retaining pixel quality.
Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media
Many people aim for change, but not everyone succeeds.
Topological structures on saturated sets, optimal orbits and equilibrium states
Pfister and Sullivan proved that if a topological dynamical system $(X, T)$ satisfies almost product property and uniform separation property, then for each nonempty compact %convex subset $K$ of invariant measures, the entropy of saturated set $G_{K}$ satisfies \begin{equation}\label{Bowen's topological entropy} h_{top}^{B}(T, G_{K})=\inf\{h(T,\mu):\mu\in K\}, \end{equation} where $h_{top}^{B}(T, G_{K})$ is Bowen's topological entropy of $T$ on $G_{K}$, and $h(T,\mu)$ is the Kolmogorov-Sinai entropy of $\mu$.
Dynamical Systems 37C50, 37B20, 37B05, 37D45, 37C45
Precise asymptotics on the Birkhoff sums for dynamical systems
We establish two precise asymptotic results on the Birkhoff sums for dynamical systems.
Dynamical Systems Probability 37A44, 37A50, 60F10
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation
In this paper, we attempt to approach the problem of Audio-Visual Embodied Navigation, the task of planning the shortest path from a random starting location in a scene to the sound source in an indoor environment, given only raw egocentric visual and audio sensory data.
Factorized Multimodal Transformer for Multimodal Sequential Learning
As machine learning leaps towards better generalization to real world, multimodal sequential learning becomes a fundamental research area.
Bi-Skip: A Motion Deblurring Network Using Self-paced Learning
A fast and effective motion deblurring method has great application values in real life.
Detection based Defense against Adversarial Examples from the Steganalysis Point of View
Moreover, secondary adversarial attacks cannot be directly performed to our method because our method is not based on a neural network but based on high-dimensional artificial features and FLD (Fisher Linear Discriminant) ensemble.
Reinforcement Mechanism Design for e-commerce
We study the problem of allocating impressions to sellers in e-commerce websites, such as Amazon, eBay or Taobao, aiming to maximize the total revenue generated by the platform.
