3 citations · 5 across the 8 of their papers we have counts for
8 papers
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li, Hang Gao, Wenwen Qiang +1
Multi-view representation learning aims to capture comprehensive information from multiple views of a shared context. Recent works intuitively apply contrastive learning to differe…
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling
Zhao Yang, Bing Su, Ji-Rong Wen
Text-to-motion generation has gained increasing attention, but most existing methods are limited to generating short-term motions that correspond to a single sentence describing a…
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization
Zezhong Lv, Bing Su, Ji-Rong Wen
Video moment localization aims to retrieve the target segment of an untrimmed video according to the natural language query. Weakly supervised methods gains attention recently, as…
Do we really need temporal convolutions in action segmentation?
Dazhao Du, Bing Su, Yu Li +3
Action classification has made great progress, but segmenting and recognizing actions from long untrimmed videos remains a challenging problem. Most state-of-the-art methods focus…
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting
Dazhao Du, Bing Su, Zhewei Wei
Transformer-based methods have shown great potential in long-term time series forecasting. However, most of these methods adopt the standard point-wise self-attention mechanism, wh…
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li, Wenwen Qiang, Hang Gao +5
Multi-view representation learning captures comprehensive information from multiple views of a shared context. Recent works intuitively apply contrastive learning (CL) to learn rep…
Log-Polar Space Convolution for Convolutional Neural Networks
Bing Su, Ji-Rong Wen
Convolutional neural networks use regular quadrilateral convolution kernels to extract features. Since the number of parameters increases quadratically with the size of the convolu…
Unsupervised Embedding Learning from Uncertainty Momentum Modeling
Jiahuan Zhou, Yansong Tang, Bing Su +1
Existing popular unsupervised embedding learning methods focus on enhancing the instance-level local discrimination of the given unlabeled images by exploring various negative data…