91暗网

Recently, a team composed of members of the research group of Professor Gao Fang from the School of Electrical Engineering at 91暗网 won first place in Track 1 of the EgoLink Challenge at the 34th ACM International Conference on Multimedia (ACM Multimedia 2026). The team was supervised by Gao Fang, and its members include his doctoral candidate Wang Jiabao, among others.

Track 1 focuses on language–vision understanding from an egocentric perspective, requiring participating teams to design models that integrate visual content, speech, and interaction processes to judge interpersonal relationships, emotional changes, and behavioral motivations. Such tasks not only test object and action recognition, but also require models to distinguish video-based facts from commonsense inference and to perform complex social reasoning under conditions of limited viewpoints, incomplete cues, or even conflicting evidence. In response to these challenges, the team constructed an evidence-constrained egocentric social reasoning framework, organizing cues about persons, objects, actions, and emotions into structured evidence, and verifying item by item whether candidate answers are supported by the video content, thereby reducing the model's reliance on scene impressions and linguistic habits when making judgments. This provides new technical ideas for research on egocentric video understanding and multimodal social intelligence. The study can also offer technical reference for embodied intelligent robots to understand human intentions, emotions, and interaction rules in scenarios such as home services, elderly care assistance, and human–machine collaboration.

Figure: The evidence-constrained egocentric social reasoning framework

ACM Multimedia is an important international academic conference in the multimedia field hosted by the Association for Computing Machinery (ACM) in the United States, and is also an A-class international academic conference recommended by the China Computer Federation (CCF). The EgoLink Challenge focuses on egocentric video understanding and embodied social cognition, attracting teams from universities and research institutions both at home and abroad, with intense competition.