3 papers
cs.CL2024
KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model's Reasoning Path Aggregation
Siyuan Fang, Kaijing Ma, Tianyu Zheng +4
Large language models (LLMs) demonstrate exceptional performance across a variety of tasks, yet they are often affected by hallucinations and the timeliness of knowledge. Leveragin…
cs.CV2024
Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding
Kaijing Ma, Haojian Huang, Jin Chen +8
Existing Video Temporal Grounding (VTG) models excel in accuracy but often overlook open-world challenges posed by open-vocabulary queries and untrimmed videos. This leads to unrel…
cs.CV2024
Disentangle and denoise: Tackling context misalignment for video moment retrieval
Kaijing Ma, Han Fang, Xianghao Zang +7
Video Moment Retrieval, which aims to locate in-context video moments according to a natural language query, is an essential task for cross-modal grounding. Existing methods focus…