4 citations · 5 across the 6 of their papers we have counts for
7 papers
Tikhonov-Stabilized Bezier Representation Forecasting for Training-free Diffusion Acceleration
Lei Zhu, Mujie Lin, Ruochong Zheng +5
Diffusion models, particularly Diffusion Transformers, achieve strong image and video generation quality but remain expensive at inference time due to repeated denoiser evaluations…
Relax Within, Balance Across: Geometry-Guided Load Balancing for Vision-Language Mixture-of-Experts
Ziang Wu, Peng Jin, Qishen Yin +4
Vision-language MoE batches contain different numbers of image and text tokens. Image resolution, image count, tiling, and prompt length all change this token mix. We call the stan…
Hierarchical Banzhaf Interaction for General Video-Language Representation Learning
Peng Jin, Hao Li, Li Yuan +2
Multimodal representation learning, with contrastive learning, plays an important role in the artificial intelligence domain. As an important subfield, video-language representatio…
LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
Guowei Xu, Peng Jin, Ziang Wu +4
Large language models have demonstrated substantial advancements in reasoning capabilities. However, current Vision-Language Models (VLMs) often struggle to perform systematic and…
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation
Peng Jin, Hao Li, Zesen Cheng +6
Text-to-motion generation requires not only grounding local actions in language but also seamlessly blending these individual actions to synthesize diverse and realistic global mot…
Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation
Zesen Cheng, Kehan Li, Hao Li +5
Temporally locating objects with arbitrary class texts is the primary pursuit of open-vocabulary Video Instance Segmentation (VIS). Because of the insufficient vocabulary of video…
FreestyleRet: Retrieving Images from Style-Diversified Queries
Hao Li, Curise Jia, Peng Jin +5
Image Retrieval aims to retrieve corresponding images based on a given query. In application scenarios, users intend to express their retrieval intent through various query styles.…