8 citations · 14 across the 8 of their papers we have counts for
5 papers
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…
SCTracker: Multi-object tracking with shape and confidence constraints
Huan Mao, Yulin Chen, Zongtan Li +2
Detection-based tracking is one of the main methods of multi-object tracking. It can obtain good tracking results when using excellent detectors but it may associate wrong targets…
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Yiming Li, Zhiding Yu, Christopher Choy +5
Humans can easily imagine the complete 3D geometry of occluded objects and scenes. This appealing ability is vital for recognition and understanding. To enable such capability in A…
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning
Cong Guan, Feng Chen, Lei Yuan +2
Utilizing messages from teammates can improve coordination in cooperative Multi-agent Reinforcement Learning (MARL). Previous works typically combine raw messages of teammates with…