17 citations · 17 across the 5 of their papers we have counts for
5 papers
Discovering Influential Neuron Path in Vision Transformers
Yifan Wang, Yifei Liu, Yingdong Shi +5
Vision Transformer models exhibit immense power yet remain opaque to human understanding, posing challenges and risks for practical applications. While prior research has attempted…
Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability
Yingdong Shi, Changming Li, Yifan Wang +5
Diffusion models have demonstrated impressive capabilities in synthesizing diverse content. However, despite their high-quality outputs, these models often perpetuate social biases…
SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model
Chunlin Yu, Hanqing Wang, Ye Shi +4
3D affordance segmentation aims to link human instructions to touchable regions of 3D objects for embodied manipulations. Existing efforts typically adhere to single-object, single…
RealDex: Towards Human-like Grasping for Robotic Dexterous Hand
Yumeng Liu, Yaxun Yang, Youzhuo Wang +9
In this paper, we introduce RealDex, a pioneering dataset capturing authentic dexterous hand grasping motions infused with human behavioral patterns, enriched by multi-view and mul…
OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
Han Liang, Jiacheng Bao, Ruichi Zhang +6
We have recently seen tremendous progress in realistic text-to-motion generation. Yet, the existing methods often fail or produce implausible motions with unseen text inputs, which…