Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileAcademic lineage
Possible advisorsa guess from early papers, not confirmed
- Canhui CaiSuggested from co-authorship
Is this you? Claim this profile to confirm or dismiss it.
Works241 from public data
- 184
- GiT: Graph Interactive Transformer for Vehicle Re-Identification178
A graph interactive transformer (GiT) is proposed, which is a newly-designed local correction graph, which learns discriminative local features within a patch by exploring nodes’ relationships and is superior to state-of-the-art vehicle re-identification approaches.
- Vehicle Re-Identification Using Quadruple Directional Deep Learning Features158
The proposed QD-DLF approach outperforms multiple state-of-the-art vehicle re-identification methods and is applicable to both VeRi and VehicleID databases.
- 148
- 134
- 125
- 118
- 108
- 104
- 90
- 87
- Deep Hybrid Similarity Learning for Person Re-Identification84
A deep hybrid similarity learning (DHSL) method based on a convolution neural network that is able to reasonably assign complexities of feature learning and metric learning in a CNN, so that the performance of person Re-ID is improved.
- 79
- 75
- High-Capacity Framework for Reversible Data Hiding in Encrypted Image Using Pixel Prediction and Entropy Encoding74
A generalized framework for high-capacity RDHEI for both the RRBE and VRBE cases, where the original image can be hardly discovered from the encrypted version before or after data hiding by unauthorized users and the experimental results show that the two proposed schemes outperform many state-of-the-artRDHEI schemes.
- Reversible data hiding in encrypted images using adaptive reversible integer transformation63
Compared with state-of-the-art RDH-EI methods, the proposed method can achieve a much higher embedding capacity and a better rate distortion performance.
- 60
- A multi-order derivative feature-based quality assessment model for light field image60
The proposed MDFM is more consistent with the perception of the HVS on the evaluation of LFI than the classical and state-of-the-art IQA methods.
- 55
- 52
- 52
- HOG-assisted deep feature learning for pedestrian gender recognition51
Extensive experiments have shown that the proposed HDFL method is able to effectively recognize the pedestrian gender, and consistently outperforms the state-of-the-art methods.
- 51
- 44
- 42
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-15. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.