6 citations · 7 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…
Unsupervised Multi-view Pedestrian Detection
Mengyin Liu, Chao Zhu, Shiqi Ren +1
With the prosperity of the video surveillance, multiple cameras have been applied to accurately locate pedestrians in a specific area. However, previous methods rely on the human-l…
VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
Mengyin Liu, Jie Jiang, Chao Zhu +1
Detecting pedestrians accurately in urban scenes is significant for realistic applications like autonomous driving or video surveillance. However, confusing human-like objects ofte…
Contour-Aware Equipotential Learning for Semantic Segmentation
Xu Yin, Dongbo Min, Yuchi Huo +1
With increasing demands for high-quality semantic segmentation in the industry, hard-distinguishing semantic boundaries have posed a significant threat to existing solutions. Inspi…