activity
20182024
most citedFacial Action Unit Detection Using Attention and Relation Learning

96 citations · 142 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024★ 5 cited

VITA: Towards Open-Source Interactive Omni Multimodal LLM

Chaoyou Fu, Haojia Lin, Zuwei Long +16

The remarkable multimodal capabilities and interactive experience of GPT-4o underscore their necessity in practical applications, yet open-source models rarely excel in both areas.…

cs.CV2023★ 2 cited

Aligning and Prompting Everything All at Once for Universal Visual Perception

Yunhang Shen, Chaoyou Fu, Peixian Chen +6

Vision foundation models have been explored recently to build general-purpose vision systems. However, predominant paradigms, driven by casting instance-level tasks as an object-wo…

cs.CL2023★ 5 cited

MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation

Junru Lu, Siyu An, Mingbao Lin +5

We propose MemoChat, a pipeline for refining instructions that enables large language models (LLMs) to effectively employ self-composed memos for maintaining consistent long-range…

cs.CV2019★ 29 cited

DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning

Xiawu Zheng, Chenyi Yang, Shaokun Zhang +6

Neural Architecture Search (NAS) has demonstrated state-of-the-art performance on various computer vision tasks. Despite the superior performance achieved, the efficiency and gener…

cs.IR2019★ 5 cited

Towards Optimal Discrete Online Hashing with Balanced Similarity

Mingbao Lin, Rongrong Ji, Hong Liu +3

When facing large-scale image datasets, online hashing serves as a promising solution for online retrieval and prediction tasks. It encodes the online streaming data into compact b…

cs.CV2018★ 96 cited

Facial Action Unit Detection Using Attention and Relation Learning

Zhiwen Shao, Zhilei Liu, Jianfei Cai +2

Attention mechanism has recently attracted increasing attentions in the field of facial action unit (AU) detection. By finding the region of interest of each AU with the attention…