189 citations · 387 across the 34 of their papers we have counts for
14 papers · 1 filter
Camera-based 3D Semantic Scene Completion with Sparse Guidance Network
Jianbiao Mei, Yu Yang, Mengmeng Wang +5
Semantic scene completion (SSC) aims to predict the semantic occupancy of each voxel in the entire 3D scene from limited observations, which is an emerging and critical task for au…
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking
Teli Ma, Mengmeng Wang, Jimin Xiao +2
Siamese network has been a de facto benchmark framework for 3D LiDAR object tracking with a shared-parametric encoder extracting features from template and search region, respectiv…
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
Jiazheng Xing, Mengmeng Wang, Yudi Ruan +6
Class prototype construction and matching are core aspects of few-shot action recognition. Previous methods mainly focus on designing spatiotemporal relation modeling modules or co…
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
Jun Chen, Haishan Ye, Mengmeng Wang +4
The conjugate gradient method is a crucial first-order optimization method that generally converges faster than the steepest descent method, and its computational cost is much lowe…
MA-FSAR: Multimodal Adaptation of CLIP for Few-Shot Action Recognition
Jiazheng Xing, Chao Xu, Mengmeng Wang +5
Applying large-scale vision-language pre-trained models like CLIP to few-shot action recognition (FSAR) can significantly enhance both performance and efficiency. While several stu…
Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
Jun Chen, Shipeng Bai, Tianxin Huang +3
Neural network quantization is a very promising solution in the field of model compression, but its resulting accuracy highly depends on a training/fine-tuning process and requires…