2 citations · 2 across the 5 of their papers we have counts for
6 papers
Region-aware Attention for Image Inpainting
Zhilin Huang, Chujun Qin, Zhenyu Weng +1
Recent attention-based image inpainting methods have made inspiring progress by modeling long-range dependencies within a single image. However, they tend to generate blurry conten…
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification
Longhui Yu, Zhenyu Weng, Yuqing Wang +1
Incremental learning methods can learn new classes continually by distilling knowledge from the last model (as a teacher model) to the current model (as a student model) in the seq…
Structure-aware Image Inpainting with Two Parallel Streams
Zhilin Huang, Chujun Qin, Ruixin Liu +2
Recent works in image inpainting have shown that structural information plays an important role in recovering visually pleasing results. In this paper, we propose an end-to-end arc…
Online Hashing with Similarity Learning
Zhenyu Weng, Yuesheng Zhu
Online hashing methods usually learn the hash functions online, aiming to efficiently adapt to the data variations in the streaming environment. However, when the hash functions ar…
Online Hashing with Efficient Updating of Binary Codes
Zhenyu Weng, Yuesheng Zhu
Online hashing methods are efficient in learning the hash functions from the streaming data. However, when the hash functions change, the binary codes for the database have to be r…
Efficient Querying from Weighted Binary Codes
Zhenyu Weng, Yuesheng Zhu
Binary codes are widely used to represent the data due to their small storage and efficient computation. However, there exists an ambiguity problem that lots of binary codes share…