4 papers
Combining Hierarchical Cognitive Process with Process Supervision for Interpretable Scene Safety Understanding
Zhiyun Jiang, Hanyong Wang, Binbin Liang +4
Scene safety understanding plays a life-or-death role in situational awareness in various critical domains. Traditional methods that rely on learning direct mappings between scenes…
Absence is Presence: Understanding Visual Scene Negative Events Under Safety Cognitive Constraint
Zhiyun Jiang, Hanyong Wang, Binbin Liang +3
Traditional scene understanding focuses on affirmative information objectively present in images. However, in safety-critical domains, comprehending key information that should exi…
Benchmarking MLLMs via Cognitive Expected Scene Graph for Safety-Critical Visual Negation Understanding
Zhiyun Jiang, Hanyong Wang, Binbin Liang +3
True machine intelligence requires transcending passive pixel registration to master top-down functional reasoning over absent information via visual negation understanding. Howeve…
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi
Xiangtong Wang, Binbin Liang, Menglong Yang +1
Current computer vision tasks based on deep learning require a huge amount of data with annotations for model training or testing, especially in some dense estimation tasks, such a…