activity
20192026
most citedAU-aware graph convolutional network for Macro- and Micro-expression spotting

2 citations · 4 across the 12 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

DynaForcing: Overcoming Dynamic Collapse in Self-Forcing Distillation for Streaming Avatar Generation

Yubo Huang, Sirui Zhao, Xinchen Yao +5

Audio-driven avatar generation requires realistic lip-sync, expressive motion, and real-time streaming. Recent work achieves the latter via self-forcing with Distribution Matching…

cs.CV2026

ActFER: Agentic Facial Expression Recognition via Active Tool-Augmented Visual Reasoning

Shifeng Liu, Zhengye Zhang, Sirui Zhao +7

Recent advances in Multimodal Large Language Models (MLLMs) have created new opportunities for facial expression recognition (FER), moving it beyond pure label prediction toward re…

cs.CV2024

Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization

Yanghai Zhang, Ye Liu, Shiwei Wu +4

The rapid increase in multimedia data has spurred advancements in Multimodal Summarization with Multimodal Output (MSMO), which aims to produce a multimodal summary that integrates…

cs.CV2024

From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition

Shiwei Wu, Chao Zhang, Joya Chen +4

People's social relationships are often manifested through their surroundings, with certain objects or interactions acting as symbols for specific relationships, e.g., wedding ring…

cs.CV2023

A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference

Chao Zhang, Shiwei Wu, Sirui Zhao +2

Affordance-centric Question-driven Task Completion (AQTC) for Egocentric Assistant introduces a groundbreaking scenario. In this scenario, through learning instructional videos, AI…

cs.CV2023★ 2 cited

AU-aware graph convolutional network for Macro- and Micro-expression spotting

Shukang Yin, Shiwei Wu, Tong Xu +3

Automatic Micro-Expression (ME) spotting in long videos is a crucial step in ME analysis but also a challenging task due to the short duration and low intensity of MEs. When solvin…

cs.CV2022

Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach

Shiwei Wu, Weidong He, Tong Xu +2

Affordance-centric Question-driven Task Completion for Egocentric Assistant(AQTC) is a novel task which helps AI assistant learn from instructional videos and scripts and guide the…

cs.CV2019

Is Heuristic Sampling Necessary in Training Deep Object Detectors?

Joya Chen, Dong Liu, Tong Xu +3

To train accurate deep object detectors under the extreme foreground-background imbalance, heuristic sampling methods are always necessary, which either re-sample a subset of all t…