4 citations · 8 across the 6 of their papers we have counts for
6 papers
HQOD: Harmonious Quantization for Object Detection
Long Huang, Zhiwei Dong, Song-Lu Chen +4
Task inharmony problem commonly occurs in modern object detectors, leading to inconsistent qualities between classification and regression tasks. The predicted boxes with high clas…
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition
Zhi-Hao Lai, Tian-Hao Zhang, Qi Liu +5
The local and global features are both essential for automatic speech recognition (ASR). Many recent methods have verified that simply combining local and global features can furth…
Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding
Tian-Hao Zhang, Hai-Bo Qin, Zhi-Hao Lai +5
Attention-based encoder-decoder (AED) models have shown impressive performance in ASR. However, most existing AED methods neglect to simultaneously leverage both acoustic and seman…
Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition
Chuan-Fei Zhang, Yan Liu, Tian-Hao Zhang +3
Non-autoregressive (NAR) transformer models have been studied intensively in automatic speech recognition (ASR), and a substantial part of NAR transformer models is to use the casu…
End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
Song-Lu Chen, Shu Tian, Jia-Wei Ma +4
License plate detection is the first and essential step of the license plate recognition system and is still challenging in real applications, such as on-road scenarios. In particu…
Semantic Bilinear Pooling for Fine-Grained Recognition
Xinjie Li, Chun Yang, Songlu Chen +2
Naturally, fine-grained recognition, e.g., vehicle identification or bird classification, has specific hierarchical labels, where fine categories are always harder to be classified…