3 papers
cs.CV2025
Looking Beyond Visible Cues: Implicit Video Question Answering via Dual-Clue Reasoning
Tieyuan Chen, Huabin Liu, Yi Wang +8
Video Question Answering (VideoQA) aims to answer natural language questions based on the given video, with prior work primarily focusing on identifying the duration of relevant se…
cs.CV2025
Enhancing Video Large Language Models with Structured Multi-Video Collaborative Reasoning
Zhihao He, Tianyao He, Yun Xu +5
Despite the prosperity of the video language model, the current pursuit of comprehensive video reasoning is thwarted by the inherent spatio-temporal incompleteness within individua…
cs.CV2025
MCA: 2D-3D Retrieval with Noisy Labels via Multi-level Adaptive Correction and Alignment
Gui Zou, Chaofan Gan, Chern Hong Lim +2
With the increasing availability of 2D and 3D data, significant advancements have been made in the field of cross-modal retrieval. Nevertheless, the existence of imperfect annotati…