activity
20162022
most citedMultivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic

23 citations · 125 across the 23 of their papers we have counts for

collaborators

26 papers

cs.CV20211 cited

Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation

Kuan-Chih Huang, Yu-Kai Huang, Winston H. Hsu

Vehicle velocity and inter-vehicle distance estimation are essential for ADAS (Advanced driver-assistance systems) and autonomous vehicles. To save the cost of expensive ranging se…

cs.CV202113 cited

NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection Dataset

Igor Morawski, Yu-An Chen, Yu-Sheng Lin +1

Recent work indicates that, besides being a challenge in producing perceptually pleasing images, low light proves more difficult for machine cognition than previously thought. In o…

cs.LG202123 cited

Multivariate and Propagation Graph Attention Network for Spatial-Temporal Prediction with Outdoor Cellular Traffic

Chung-Yi Lin, Hung-Ting Su, Shen-Lung Tung +1

Spatial-temporal prediction is a critical problem for intelligent transportation, which is helpful for tasks such as traffic control and accident prevention. Previous studies rely…

cs.AI2021

TrUMAn: Trope Understanding in Movies and Animations

Hung-Ting Su, Po-Wei Shen, Bing-Chen Tsai +3

Understanding and comprehending video content is crucial for many real-world applications such as search and recommendation systems. While recent progress of deep learning has boos…

cs.RO2021

ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception

Tung-I Chen, Jen-Wei Wang, Winston H. Hsu

Object detection plays a deep role in visual systems by identifying instances for downstream algorithms. In industrial scenarios, however, a slight change in manufacturing systems…

cs.CL20212 cited

OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding

Ke-Jyun Wang, Yun-Hsuan Liu, Hung-Ting Su +4

To effectively apply robots in working environments and assist humans, it is essential to develop and evaluate how visual grounding (VG) can affect machine performance on occluded…