4 citations · 11 across the 20 of their papers we have counts for
22 papers
Learning Adaptive Semantic Gaussian Allocation for 3D Occupancy
Kanglin Ning, Yiran Zhao, Wenrui Li +4
Semantic 3D Gaussians provide a compact representation for 3D semantic occupancy prediction by rendering semantic primitives into a voxel volume under voxel-wise supervision. Recen…
T3HG-Editor: Text-driven 3D Human Garment Editing with Body Priors Embedded in SMPL-X
Shaoru Sun, Xingtao Wang, Zihan Ma +4
While 3D Gaussian Editing (3DGE) has seen substantial progress, text-driven 3D human garment editing remains largely underexplored. Existing 3DGE works typically follow a paradigm…
Towards Accurate Single Panoramic 3D Detection: A Semantic Gaussian Centric Approach
Kanglin Ning, Yiran Zhao, Wenrui Li +3
Three-dimensional object detection in panoramic imagery is crucial for comprehensive scene understanding, yet accurately mapping 2D features to 3D remains a significant challenge.…
Hyperbolic Distillation: Geometry-Guided Cross-Modal Transfer for Robust 3D Object Detection
Kanglin Ning, Wenrui Li, Houde Quan +3
Cross-modal knowledge distillation has emerged as an effective strategy for integrating point cloud and image features in 3D perception tasks. However, the modality heterogeneity,…
All-in-One Video Restoration under Smoothly Evolving Unknown Weather Degradations
Wenrui Li, Hongtao Chen, Yao Xiao +4
All-in-one image restoration aims to recover clean images from diverse unknown degradations using a single model. But extending this task to videos faces unique challenges. Existin…
RoamScene3D: Immersive Text-to-3D Scene Generation via Adaptive Object-aware Roaming
Jisheng Chu, Wenrui Li, Rui Zhao +3
Generating immersive 3D scenes from texts is a core task in computer vision, crucial for applications in virtual reality and game development. Despite the promise of leveraging 2D…
Adaptive Redundancy Regulation for Balanced Multimodal Information Refinement
Zhe Yang, Wenrui Li, Hongtao Chen +3
Multimodal learning aims to improve performance by leveraging data from multiple sources. During joint multimodal training, due to modality bias, the advantaged modality often domi…
Hyperbolic Hierarchical Alignment Reasoning Network for Text-3D Retrieval
Wenrui Li, Yidan Lu, Yeyu Chai +3
With the daily influx of 3D data on the internet, text-3D retrieval has gained increasing attention. However, current methods face two major challenges: Hierarchy Representation Co…
Language-Guided Graph Representation Learning for Video Summarization
Wenrui Li, Wei Han, Hengyu Man +3
With the rapid growth of video content on social media, video summarization has become a crucial task in multimedia processing. However, existing methods face challenges in capturi…
MRT: Learning Compact Representations with Mixed RWKV-Transformer for Extreme Image Compression
Han Liu, Hengyu Man, Xingtao Wang +2
Recent advances in extreme image compression have revealed that mapping pixel data into highly compact latent representations can significantly improve coding efficiency. However,…
Spiking Variational Graph Representation Inference for Video Summarization
Wenrui Li, Wei Han, Liang-Jian Deng +2
With the rise of short video content, efficient video summarization techniques for extracting key information have become crucial. However, existing methods struggle to capture the…
T-GVC: Trajectory-Guided Generative Video Coding at Ultra-Low Bitrates
Zhitao Wang, Hengyu Man, Wenrui Li +3
Recent advances in video generation techniques have given rise to an emerging paradigm of generative video coding for Ultra-Low Bitrate (ULB) scenarios by leveraging powerful gener…
Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning
Wenrui Li, Penghong Wang, Xingtao Wang +3
Audio-visual zero-shot learning (ZSL) has been extensively researched for its capability to classify video data from unseen classes during training. Nevertheless, current methodolo…
Hyperbolic-constraint Point Cloud Reconstruction from Single RGB-D Images
Wenrui Li, Zhe Yang, Wei Han +3
Reconstructing desired objects and scenes has long been a primary goal in 3D computer vision. Single-view point cloud reconstruction has become a popular technique due to its low c…
Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion
Jisheng Chu, Wenrui Li, Xingtao Wang +3
The common occurrence of occlusion-induced incompleteness in point clouds has made point cloud completion (PCC) a highly-concerned task in the field of geometric processing. Existi…
Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval
Wenrui Li, Wei Han, Yandu Chen +4
Due to the challenges in acquiring paired Text-3D data and the inherent irregularity of 3D data structures, combined representation learning of 3D point clouds and text remains une…
SceneDreamer360: Text-Driven 3D-Consistent Scene Generation with Panoramic Gaussian Splatting
Wenrui Li, Fucheng Cai, Yapeng Mi +4
Text-driven 3D scene generation has seen significant advancements recently. However, most existing methods generate single-view images using generative models and then stitch them…
Spiking Tucker Fusion Transformer for Audio-Visual Zero-Shot Learning
Wenrui Li, Penghong Wang, Ruiqin Xiong +1
The spiking neural networks (SNNs) that efficiently encode temporal sequences have shown great potential in extracting audio-visual joint feature representations. However, coupling…
SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding
Wenrui Li, Xiaopeng Hong, Ruiqin Xiong +1
Temporal video grounding (TVG) is a critical task in video content understanding, requiring precise alignment between video content and natural language instructions. Despite signi…
DV-Hop localization based on Distance Estimation using Multinode and Hop Loss in WSNs
Penghong Wang, Xingtao Wang, Wenrui Li +2
Location awareness is a critical issue in wireless sensor network applications. For more accurate location estimation, the two issues should be considered extensively: 1) how to su…
Probability-based Distance Estimation Model for 3D DV-Hop Localization in WSNs
Penghong Wang, Hao Wang, Wenrui Li +2
Localization is one of the pivotal issues in wireless sensor network applications. In 3D localization studies, most algorithms focus on enhancing the location prediction process, l…
The style transformer with common knowledge optimization for image-text retrieval
Wenrui Li, Zhengyu Ma, Jinqiao Shi +1
Image-text retrieval which associates different modalities has drawn broad attention due to its excellent research value and broad real-world application. However, most of the exis…