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Found 16 papers, 5 papers with code
Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding
In this work, we introduce Language Embedded 3D Gaussians, a novel scene representation for open-vocabulary query tasks.
Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes
We present Neural 3D Strokes, a novel technique to generate stylized images of a 3D scene at arbitrary novel views from multi-view 2D images.
BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis
Synthesizing photorealistic 4D human head avatars from videos is essential for VR/AR, telepresence, and video game applications.
Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception
Specifically, we analyze the performance changes of different methods under different bandwidths, providing a deep insight into the performance-bandwidth trade-off issue.
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT
Tables are prevalent in real-world databases, requiring significant time and effort for humans to analyze and manipulate.
HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution
By utilizing the lane features in the Hough parameter space, the network learns dynamic convolution kernel parameters corresponding to each lane, allowing the Dynamic Convolution Module to effectively differentiate between lane features.
Optimal Charging Profile Design for Solar-Powered Sustainable UAV Communication Networks
This work studies optimal solar charging for solar-powered self-sustainable UAV communication networks, considering the day-scale time-variability of solar radiation and user service demand.
C3-STISR: Scene Text Image Super-resolution with Triple Clues
In this paper, we present a novel method C3-STISR that jointly exploits the recognizer's feedback, visual and linguistical information as clues to guide super-resolution.
Deep Dynamic Attention Model with Gate Mechanism for Solving Time-dependent Vehicle Routing Problems
We thus propose a Deep Dynamic Attention Models with Gate Mechanisms (DDAM-GM) to learn heuristics for time-dependent VRPs (TDVRPs) in real-world road networks.
Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning
In this chapter, the regulation of Unmanned Aerial Vehicle (UAV) communication network is investigated in the presence of dynamic changes in the UAV lineup and user distribution.
SREC: Proactive Self-Remedy of Energy-Constrained UAV-Based Networks via Deep Reinforcement Learning
Energy-aware control for multiple unmanned aerial vehicles (UAVs) is one of the major research interests in UAV based networking.
Energy and Information Management of Electric Vehicular Network: A Survey
In this paper, we provide a comprehensive survey on the deployment and management of EVN considering all three aspects of energy flow, data communication, and computation.
Example-Guided Style Consistent Image Synthesis from Semantic Labeling
Example-guided image synthesis aims to synthesize an image from a semantic label map and an exemplary image indicating style.
Example-Guided Style-Consistent Image Synthesis From Semantic Labeling
Example-guided image synthesis aims to synthesize an image from a semantic label map and an exemplary image indicating style.
Deep Online Video Stabilization
In this paper, we solve the video stabilization problem using a convolutional neural network (ConvNet).
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