421 citations · 457 across the 8 of their papers we have counts for
5 papers · 1 filter
Sparse Fusion for Multimodal Transformers
Yi Ding, Alex Rich, Mason Wang +4
Multimodal classification is a core task in human-centric machine learning. We observe that information is highly complementary across modalities, thus unimodal information can be…
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusion
Su Zhang, Yi Ding, Ziquan Wei +1
We propose an audio-visual spatial-temporal deep neural network with: (1) a visual block containing a pretrained 2D-CNN followed by a temporal convolutional network (TCN); (2) an a…
LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
Yi Ding, Neethu Robinson, Chengxuan Tong +2
Neuropsychological studies suggest that co-operative activities among different brain functional areas drive high-level cognitive processes. To learn the brain activities within an…
TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition
Yi Ding, Neethu Robinson, Su Zhang +2
The high temporal resolution and the asymmetric spatial activations are essential attributes of electroencephalogram (EEG) underlying emotional processes in the brain. To learn the…
Augmentation Strategies for Learning with Noisy Labels
Kento Nishi, Yi Ding, Alex Rich +1
Imperfect labels are ubiquitous in real-world datasets. Several recent successful methods for training deep neural networks (DNNs) robust to label noise have used two primary techn…