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Found 15 papers, 6 papers with code
Representing Long Volumetric Video with Temporal Gaussian Hierarchy
In addition, the tree-like structure of the Gaussian hierarchy allows us to efficiently represent the scene at a particular moment with a subset of Gaussian primitives, leading to nearly constant GPU memory usage during the training or rendering regardless of the video length.
LLM-enhanced Scene Graph Learning for Household Rearrangement
The household rearrangement task involves spotting misplaced objects in a scene and accommodate them with proper places.
Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes
The superpoint correspondences are then extended to instance candidates at the fine level according to the instance masks.
Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models
Building on the insights from the user study, we also developed a system using AI as the assistant to automate the process of jailbreak prompt generation.
Beamforming Design for Double-Active-RIS-aided Communication Systems with Inter-Excitation
Furthermore, the results demonstrate that the proposed scheme can enhance the WSR by 30\% compared to scenarios that do not take this effect into account when the maximum amplification gain is 40 dB.
Automatic and Universal Prompt Injection Attacks against Large Language Models
Large Language Models (LLMs) excel in processing and generating human language, powered by their ability to interpret and follow instructions.
A Framework of RIS-assisted ICSC User-centric Based Systems: Latency Optimization and Design
To address the formulated non-convex problem in the multi-UE scenario, we decouple the original problem into two subproblems, where the computational and beamforming settings are optimized alternately.
Reconfigurable Intelligent Surface-Aided Dual-Function Radar and Communication Systems With MU-MIMO Communication
In this paper, we investigate an reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system.
Joint Beamforming Design for Double Active RIS-assisted Radar-Communication Coexistence Systems
However, when radar and communication equipment coexist in the same system, i. e. radar-communication coexistence (RCC), the interference from communication systems to radar can be large and cannot be ignored.
Secure Wireless Communication in Active RIS-Assisted DFRC System
This work considers a dual-functional radar and communication (DFRC) system with an active reconfigurable intelligent surface (RIS) and a potential eavesdropper.
Reconstructing Close Human Interactions from Multiple Views
This paper addresses the challenging task of reconstructing the poses of multiple individuals engaged in close interactions, captured by multiple calibrated cameras.
Sheared Backpropagation for Fine-tuning Foundation Models
To address these challenges we introduce PreBackRazor a novel activation pruning scheme offering both computational and memory efficiency through a sparsified backpropagation strategy which judiciously avoids unnecessary activation pruning and storage and gradient computation.
EasyVolcap: Accelerating Neural Volumetric Video Research
Volumetric video is a technology that digitally records dynamic events such as artistic performances, sporting events, and remote conversations.
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
The field of deep learning has witnessed significant progress, particularly in computer vision (CV), natural language processing (NLP), and speech.
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples
LiDAR-based perception is a central component of autonomous driving, playing a key role in tasks such as vehicle localization and obstacle detection.
