3 citations · 3 across the 1 of their papers we have counts for
7 papers
Enhance Images as You Like with Unpaired Learning
Xiaopeng Sun, Muxingzi Li, Tianyu He +1
Low-light image enhancement exhibits an ill-posed nature, as a given image may have many enhanced versions, yet recent studies focus on building a deterministic mapping from input…
Dense Interaction Learning for Video-based Person Re-identification
Tianyu He, Xin Jin, Xu Shen +3
Video-based person re-identification (re-ID) aims at matching the same person across video clips. Efficiently exploiting multi-scale fine-grained features while building the struct…
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation
Tianyu He, Xu Tan, Tao Qin
Neural machine translation (NMT) typically adopts the encoder-decoder framework. A good understanding of the characteristics and functionalities of the encoder and decoder can help…
Language Graph Distillation for Low-Resource Machine Translation
Tianyu He, Jiale Chen, Xu Tan +1
Neural machine translation on low-resource language is challenging due to the lack of bilingual sentence pairs. Previous works usually solve the low-resource translation problem wi…
Learning to Transfer: Unsupervised Meta Domain Translation
Jianxin Lin, Yijun Wang, Tianyu He +1
Unsupervised domain translation has recently achieved impressive performance with Generative Adversarial Network (GAN) and sufficient (unpaired) training data. However, existing do…
Learning based Facial Image Compression with Semantic Fidelity Metric
Zhibo Chen, Tianyu He
Surveillance and security scenarios usually require high efficient facial image compression scheme for face recognition and identification. While either traditional general image c…