5 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…
UniHEAR: Unified Heterogeneous-Source Attentive Retrieval for Knowledge-Based Visual Question Answering
Ganzhong Luo, Yang Ren, Hanyong Wang +2
Knowledge-Based Visual Question Answering (KB-VQA) requires retrieving entity knowledge from external sources to answer visually grounded questions. Existing retrieval-augmented sy…
Fully Analog Resonant Recurrent Neural Network via Metacircuit
Zixin Zhou, Tianxi Jiang, Menglong Yang +3
Physical neural networks offer a transformative route to edge intelligence, providing superior inference speed and energy efficiency compared to conventional digital architectures.…