785 citations · 1.4k across the 23 of their papers we have counts for
5 papers · 1 filter
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
Shraman Pramanick, Li Jing, Sayan Nag +4
Vision-language pre-training (VLP) has recently proven highly effective for various uni- and multi-modal downstream applications. However, most existing end-to-end VLP methods use…
MSA-GCN:Multiscale Adaptive Graph Convolution Network for Gait Emotion Recognition
Yunfei Yin, Li Jing, Faliang Huang +2
Gait emotion recognition plays a crucial role in the intelligent system. Most of the existing methods recognize emotions by focusing on local actions over time. However, they ignor…
Divert More Attention to Vision-Language Tracking
Mingzhe Guo, Zhipeng Zhang, Heng Fan +1
Relying on Transformer for complex visual feature learning, object tracking has witnessed the new standard for state-of-the-arts (SOTAs). However, this advancement accompanies by l…
Positive Unlabeled Contrastive Learning
Anish Acharya, Sujay Sanghavi, Li Jing +4
Self-supervised pretraining on unlabeled data followed by supervised fine-tuning on labeled data is a popular paradigm for learning from limited labeled examples. We extend this pa…
Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials
Andrew Ma, Yang Zhang, Thomas Christensen +4
Topological materials present unconventional electronic properties that make them attractive for both basic science and next-generation technological applications. The majority of…