Results 31 to 40 of about 169,247 (258)
Towards Proving the Adversarial Robustness of Deep Neural Networks
, 2017 Autonomous vehicles are highly complex systems, required to function reliably in a wide variety of situations. Manually crafting software controllers for these vehicles is difficult, but there has been some success in using deep neural networks generated
Barrett, Clark +4 more
core +1 more source
LSON-IP: Lightweight Sparse Occupancy Network for Instance Perception
World Electric Vehicle JournalThe high computational demand of dense voxel representations severely limits current vision-centric 3D semantic occupancy prediction methods, despite their capacity for granular scene understanding. This challenge is particularly acute in safety-critical
Xinwang Zheng +4 more
doaj +1 more source
Comparing Neural Style Transfer and Gradient-Based Algorithms in Brushstroke Rendering Tasks
Mathematics, 2023 Non-photorealistic rendering (NPR) with explicit brushstroke representation is essential for both high-grade imitating of artistic paintings and generating commands for artistically skilled robots.
Artur Karimov +5 more
doaj +1 more source
Neural-Augmented Static Analysis of Android Communication
, 2018 We address the problem of discovering communication links between applications in the popular Android mobile operating system, an important problem for security and privacy in Android.
Abadi MartÃn +9 more
core +1 more source
Neural Relightable Participating Media Rendering
, 2021 Learning neural radiance fields of a scene has recently allowed realistic novel view synthesis of the scene, but they are limited to synthesize images under the original fixed lighting condition. Therefore, they are not flexible for the eagerly desired tasks like relighting, scene editing and scene composition.
Zheng, Q. +2 more
openaire +3 more sources
Depth and Semantic Guided 3D Gaussian Splatting With Synthetic-View Fine-Tuning
IEEE AccessRecent advances in 3D Gaussian Splatting (3DGS) have enabled real-time photorealistic rendering for large-scale urban reconstruction. However, reconstruction fidelity still degrades in regions where constraints are weak, whether due to insufficient ...
Jongseok Min, Byeongyoon An, Jinho Lee
doaj +1 more source
, 2020 Movie productions use high resolution 3d characters with complex proprietary rigs to create the highest quality images possible for large displays. Unfortunately, these 3d assets are typically not compatible with real-time graphics engines used for games, mixed reality and real-time pre-visualization.
Borer, Dominik +4 more
openaire +2 more sources
Unsupervised Continual Semantic Adaptation Through Neural Rendering
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 An increasing amount of applications rely on data-driven models that are deployed for perception tasks across a sequence of scenes. Due to the mismatch between training and deployment data, adapting the model on the new scenes is often crucial to obtain good performance.
Liu, Zhizheng +5 more
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Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 We present a neural rendering framework that maps a voxelized scene into a high quality image. Highly-textured objects and scene element interactions are realistically rendered by our method, despite having a rough representation as an input. Moreover, our approach allows controllable rendering: geometric and appearance modifications in the input are ...
Rematas, Konstantinos, Ferrari, Vittorio
openaire +2 more sources
DeepAPT: Nation-State APT Attribution Using End-to-End Deep Neural Networks
, 2017 In recent years numerous advanced malware, aka advanced persistent threats (APT) are allegedly developed by nation-states. The task of attributing an APT to a specific nation-state is extremely challenging for several reasons.
E Stamatatos +6 more
core +1 more source