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20082026
most citedUnifying Large Language Models and Knowledge Graphs: A Roadmap

1.2k citations

Showing 2022 · cs.CVShow all

9 papers · 2 filters

cs.CV2022★ 7 cited

Compound Batch Normalization for Long-tailed Image Classification

Lechao Cheng, Chaowei Fang, Dingwen Zhang +2

Significant progress has been made in learning image classification neural networks under long-tail data distribution using robust training algorithms such as data re-sampling, re-…

cs.CV2022★ 24 cited

ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions

Anjun Chen, Xiangyu Wang, Kun Shi +6

3D human reconstruction from RGB images achieves decent results in good weather conditions but degrades dramatically in rough weather. Complementary, mmWave radars have been employ…

cs.CV2022★ 1 cited

Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction

Yingzi Fan, Longfei Han, Yue Zhang +3

Both visual and auditory information are valuable to determine the salient regions in videos. Deep convolution neural networks (CNN) showcase strong capacity in coping with the aud…

cs.CV2022★ 19 cited

Learnable Privacy-Preserving Anonymization for Pedestrian Images

Junwu Zhang, Mang Ye, Yao Yang

This paper studies a novel privacy-preserving anonymization problem for pedestrian images, which preserves personal identity information (PII) for authorized models and prevents PI…

cs.CV2022★ 12 cited

Long-term Leap Attention, Short-term Periodic Shift for Video Classification

Hao Zhang, Lechao Cheng, Yanbin Hao +1

Video transformer naturally incurs a heavier computation burden than a static vision transformer, as the former processes times longer sequence than the latter under the curren…

cs.CV2022★ 43 cited

Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes

Xi Weng, Yan Yan, Genshun Dong +4

Real-time semantic segmentation, which aims to achieve high segmentation accuracy at real-time inference speed, has received substantial attention over the past few years. However,…

cs.CV2022

Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks

Jiacong Hu, Jing Gao, Jingwen Ye +4

With the rapid development of deep learning, the increasing complexity and scale of parameters make training a new model increasingly resource-intensive. In this paper, we start fr…

cs.CV2022★ 27 cited

GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning

Rui Xu, Lei Xing, Shuai Shao +4

Few-shot learning (FSL), purposing to resolve the problem of data-scarce, has attracted considerable attention in recent years. A popular FSL framework contains two phases: (i) the…

cs.CV2022★ 24 cited

Real-time Rail Recognition Based on 3D Point Clouds

Xinyi Yu, Weiqi He, Xuecheng Qian +2

Accurate rail location is a crucial part in the railway support driving system for safety monitoring. LiDAR can obtain point clouds that carry 3D information for the railway enviro…