1 citations · 2 across the 10 of their papers we have counts for
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cs.LG2024★ 1 cited
Classifier-guided Gradient Modulation for Enhanced Multimodal Learning
Zirun Guo, Tao Jin, Jingyuan Chen +1
Multimodal learning has developed very fast in recent years. However, during the multimodal training process, the model tends to rely on only one modality based on which it could l…
cs.CV2024
Semantic Alignment for Multimodal Large Language Models
Tao Wu, Mengze Li, Jingyuan Chen +6
Research on Multi-modal Large Language Models (MLLMs) towards the multi-image cross-modal instruction has received increasing attention and made significant progress, particularly…
cs.CV2024★ 1 cited
Non-confusing Generation of Customized Concepts in Diffusion Models
Wang Lin, Jingyuan Chen, Jiaxin Shi +8
We tackle the common challenge of inter-concept visual confusion in compositional concept generation using text-guided diffusion models (TGDMs). It becomes even more pronounced in…