538 citations · 1.1k across the 7 of their papers we have counts for
7 papers
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception
Xiaosu Zhu, Hualian Sheng, Sijia Cai +7
We introduce RoScenes, the largest multi-view roadside perception dataset, which aims to shed light on the development of vision-centric Bird's Eye View (BEV) approaches for more c…
CUCL: Codebook for Unsupervised Continual Learning
Chen Cheng, Jingkuan Song, Xiaosu Zhu +3
The focus of this study is on Unsupervised Continual Learning (UCL), as it presents an alternative to Supervised Continual Learning which needs high-quality manual labeled data. Th…
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
Hao Li, Jingkuan Song, Lianli Gao +2
Cross-modal Retrieval methods build similarity relations between vision and language modalities by jointly learning a common representation space. However, the predictions are ofte…
A Lower Bound of Hash Codes' Performance
Xiaosu Zhu, Jingkuan Song, Yu Lei +2
As a crucial approach for compact representation learning, hashing has achieved great success in effectiveness and efficiency. Numerous heuristic Hamming space metric learning obje…
Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression
Xiaosu Zhu, Jingkuan Song, Lianli Gao +2
Modeling latent variables with priors and hyperpriors is an essential problem in variational image compression. Formally, trade-off between rate and distortion is handled well if p…
Deep Recurrent Quantization for Generating Sequential Binary Codes
Jingkuan Song, Xiaosu Zhu, Lianli Gao +3
Quantization has been an effective technology in ANN (approximate nearest neighbour) search due to its high accuracy and fast search speed. To meet the requirement of different app…
Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval
Lianli Gao, Xiaosu Zhu, Jingkuan Song +2
Product Quantization (PQ) has long been a mainstream for generating an exponentially large codebook at very low memory/time cost. Despite its success, PQ is still tricky for the de…