Although previous co-speech gesture generation methods are able to synth...
Non-independent and identically distributed (non-IID) data is a key chal...
Image Coding for Machines (ICM) aims to compress images for AI tasks ana...
Good initialization is essential for training Deep Neural Networks (DNNs...
Traditional media coding schemes typically encode image/video into a
sem...
Deep neural networks are notorious for defying theoretical treatment.
Ho...
Unsupervised Person Re-identification (U-ReID) with pseudo labeling rece...
Low-light image enhancement exhibits an ill-posed nature, as a given ima...
Cloth-Changing person re-identification (CC-ReID) aims at matching the s...
Video-based person re-identification (re-ID) aims at matching the same p...
Surveillance video applications grow dramatically in public safety and d...
Neural machine translation (NMT) typically adopts the encoder-decoder
fr...
Neural machine translation on low-resource language is challenging due t...
Unsupervised domain translation has recently achieved impressive perform...
Surveillance and security scenarios usually require high efficient facia...
One key challenge to learning-based video compression is that motion
pre...