no code implementations • 13 Mar 2024 • Chenbin Pan, Burhaneddin Yaman, Senem Velipasalar, Liu Ren
Autonomous driving stands as a pivotal domain in computer vision, shaping the future of transportation.
no code implementations • 10 Jan 2024 • Chenbin Pan, Burhaneddin Yaman, Tommaso Nesti, Abhirup Mallik, Alessandro G Allievi, Senem Velipasalar, Liu Ren
Autonomous driving is a complex and challenging task that aims at safe motion planning through scene understanding and reasoning.
no code implementations • 1 Apr 2023 • Chenbin Pan, Rui Hou, Hanchao Yu, Qifan Wang, Senem Velipasalar, Madian Khabsa
Whether by processing videos with fixed resolution from start to end or incorporating pooling and down-scaling strategies, existing video transformers process the whole video content throughout the network without specially handling the large portions of redundant information.
no code implementations • 15 Mar 2023 • Chenbin Pan, Zhiqi Zhang, Senem Velipasalar, Yi Xu
Different from previous video transformers, which use the same static embedding as the class token for diverse inputs, we propose a dynamic class token generator that produces a class token for each input video by analyzing the hand-object interaction and the related motion information.
1 code implementation • ICCV 2021 • Chenbin Pan, Senem Velipasalar
Existing variations of CapsNets mainly focus on performance comparison with the original CapsNet, and have not outperformed CNN-based models on complex tasks.