no code implementations • 28 May 2024 • Yuedong Tan, Zongwei Wu, Yuqian Fu, Zhuyun Zhou, Guolei Sun, Chao Ma, Danda Pani Paudel, Luc van Gool, Radu Timofte
With the emergence of a single large model capable of successfully solving a multitude of tasks in NLP, there has been growing research interest in achieving similar goals in computer vision.
1 code implementation • 17 May 2023 • Zongwei Wu, Jingjing Wang, Zhuyun Zhou, Zhaochong An, Qiuping Jiang, Cédric Demonceaux, Guolei Sun, Radu Timofte
In this paper, we propose a novel approach by mining the Cross-Modal Semantics to guide the fusion and decoding of multimodal features, with the aim of controlling the modal contribution based on relative entropy.
2 code implementations • 28 Apr 2023 • Zhuyun Zhou, Zongwei Wu, Danda Pani Paudel, Rémi Boutteau, Fan Yang, Luc van Gool, Radu Timofte, Dominique Ginhac
Subsequently, we devise EmoFormer, a novel network able to exploit the event data.
1 code implementation • 17 Sep 2022 • Zhuyun Zhou, Zongwei Wu, Rémi Boutteau, Fan Yang, Cédric Demonceaux, Dominique Ginhac
Moving Object Detection (MOD) is a critical vision task for successfully achieving safe autonomous driving.