1 citations · 2 across the 5 of their papers we have counts for
5 papers
General Self-Prediction Enhancement for Spiking Neurons
Zihan Huang, Zijie Xu, Yihan Huang +7
Spiking Neural Networks (SNNs) are highly energy-efficient due to event-driven, sparse computation, but their training is challenged by spike non-differentiability and trade-offs a…
A New Dataset and Benchmark for Grounding Multimodal Misinformation
Bingjian Yang, Danni Xu, Kaipeng Niu +3
The proliferation of online misinformation videos poses serious societal risks. Current datasets and detection methods primarily target binary classification or single-modality loc…
Expanding Zero-Shot Object Counting with Rich Prompts
Huilin Zhu, Senyao Li, Jingling Yuan +5
Expanding pre-trained zero-shot counting models to handle unseen categories requires more than simply adding new prompts, as this approach does not achieve the necessary alignment…
SU-YOLO: Spiking Neural Network for Efficient Underwater Object Detection
Chenyang Li, Wenxuan Liu, Guoqiang Gong +2
Underwater object detection is critical for oceanic research and industrial safety inspections. However, the complex optical environment and the limited resources of underwater equ…
Group Activity Recognition via Dynamic Composition and Interaction
Youliang Zhang, Zhuo Zhou, Wenxuan Liu +2
Previous group activity recognition approaches were limited to reasoning using human relations or finding important subgroups and tended to ignore indispensable group composition a…