Search Results for author:
Found 24 papers, 2 papers with code
Social Media Can Reduce Misinformation When Public Scrutiny is High
Here we show this dual potential in the context of local governments' GDP reporting in China, where data falsifications are widespread.
Energy-Efficient Integrated Communication and Computation via Non-Terrestrial Networks with Uncertainty Awareness
We jointly consider ground data offloading to the UAV, edge processing on the UAV, and the forwarding of results from UAV to satellite, where we particularly address the uncertainties of the UAV-satellite links due to the large distance and high dynamics therein.
Zero-P-to-3: Zero-Shot Partial-View Images to 3D Object
To address these challenges, we propose \method, a novel training-free approach that integrates the local dense observations and multi-source priors for reconstruction.
Unfolded Deep Graph Learning for Networked Over-the-Air Computation
Over-the-air computation (AirComp) has emerged as a promising technology that enables simultaneous transmission and computation through wireless channels.
Deep Graph Reinforcement Learning for UAV-Enabled Multi-User Secure Communications
While unmanned aerial vehicles (UAVs) with flexible mobility are envisioned to enhance physical layer security in wireless communications, the efficient security design that adapts to such high network dynamics is rather challenging.
Direction-Aware Hybrid Representation Learning for 3D Hand Pose and Shape Estimation
Most model-based 3D hand pose and shape estimation methods directly regress the parametric model parameters from an image to obtain 3D joints under weak supervision.
DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds
3D Gaussian Splatting (3DGS) renders pixels by rasterizing Gaussian primitives, where the rendering resolution and the primitive number, concluded as the optimization complexity, dominate the time cost in primitive optimization.
OccluGaussian: Occlusion-Aware Gaussian Splatting for Large Scene Reconstruction and Rendering
Cameras in such regions exhibit stronger correlations and a higher average contribution, facilitating high-quality scene reconstruction.
Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting
We validate our method on several appearance-variant scenes, and demonstrate that it achieves state-of-the-art rendering quality with minimal training time and memory usage, without compromising rendering speeds.
SpecTRe-GS: Modeling Highly Specular Surfaces with Reflected Nearby Objects by Tracing Rays in 3D Gaussian Splatting
3D Gaussian Splatting (3DGS), a recently emerged multi-view 3D reconstruction technique, has shown significant advantages in real-time rendering and explicit editing.
RIS-Assisted Simultaneous Legitimate Monitoring and Jamming for Industrial Wireless Networks
In this paper, we study reconfigurable intelligent surface (RIS)-assisted simultaneous legitimate monitoring and jamming techniques for industrial environments, so that egitimate monitor (LM) and legitimate jammers (LJs) can sustainably monitor and interfere with suspicious communications with minimum transmission power.
Deep Learning-Assisted Jamming Mitigation with Movable Antenna Array
This paper reveals the potential of movable antennas in enhancing anti-jamming communication.
Rethinking the Alignment of Psychotherapy Dialogue Generation with Motivational Interviewing Strategies
Recent advancements in large language models (LLMs) have shown promise in generating psychotherapeutic dialogues, particularly in the context of motivational interviewing (MI).
MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections
To tackle this problem, we present MirrorGaussian, the first method for mirror scene reconstruction with real-time rendering based on 3D Gaussian Splatting.
3D Geometry-aware Deformable Gaussian Splatting for Dynamic View Synthesis
In this way, our solution achieves 3D geometry-aware deformation modeling, which enables improved dynamic view synthesis and 3D dynamic reconstruction.
VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction
Existing NeRF-based methods for large scene reconstruction often have limitations in visual quality and rendering speed.
PaReNeRF: Toward Fast Large-scale Dynamic NeRF with Patch-based Reference
In addition to speed up prior information search we propose an optical flow and structural similarity based prior information search method.
BrickPal: Augmented Reality-based Assembly Instructions for Brick Models
The assembly instruction is a mandatory component of Lego-like brick sets. The conventional production of assembly instructions requires a considerable amount of manual fine-tuning, which is intractable for casual users and customized brick sets. Moreover, the traditional paper-based instructions lack expressiveness and interactivity. To tackle the two problems above, we present BrickPal, an augmented reality-based system, which visualizes assembly instructions in an augmented reality head-mounted display.
Power and Interference Control for VLC-Based UDN: A Reinforcement Learning Approach
An RL-based algorithm is proposed to dynamically optimize the policy of power and interference control, maximizing the system utility in the complicated and dynamic environment.
Robust Trajectory and Offloading for Energy-Efficient UAV Edge Computing in Industrial Internet of Things
In this paper, we employ an unmanned aerial vehicle (UAV) as an edge server to assist IIoT data processing, while considering the practical issue of UAV jittering.
Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach
Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management.
Robust Secrecy via Aerial Reflection and Jamming: Joint Optimization of Deployment and Transmission
The security gain with aerial reflection and jamming is further improved with the optimized deployment of the aerial platform.
H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction
First, we decouple hand mesh reconstruction into two branches, one to exploit finger-level non-occluded information and the other to exploit global hand orientation, with lightweight structures to promote real-time inference.
Ranked #6 on
3D Hand Pose Estimation
on DexYCB
Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction
3D hand-mesh reconstruction from RGB images facilitates many applications, including augmented reality (AR).
Ranked #19 on
3D Hand Pose Estimation
on FreiHAND
