4 citations · 8 across the 6 of their papers we have counts for
6 papers
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
Runsheng Xu, Xin Xia, Jinlong Li +10
Modern perception systems of autonomous vehicles are known to be sensitive to occlusions and lack the capability of long perceiving range. It has been one of the key bottlenecks th…
Improved Deterministic Algorithms for Non-monotone Submodular Maximization
Xiaoming Sun, Jialin Zhang, Shuo Zhang +1
Submodular maximization is one of the central topics in combinatorial optimization. It has found numerous applications in the real world. In the past decades, a series of algorithm…
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
Weiwei Sun, Shuyu Guo, Shuo Zhang +4
Task-oriented dialogue systems (TDSs) are assessed mainly in an offline setting or through human evaluation. The evaluation is often limited to single-turn or is very time-intensiv…
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training Accelerators
Yangjie Qi, Shuo Zhang, Tarek M. Taha
There is increasing demand for specialized hardware for training deep neural networks, both in edge/IoT environments and in high-performance computing systems. The design space of…
3D Lidar Mapping Relative Accuracy Automatic Evaluation Algorithm
Guibin Chen, Jiong Deng, Dongze Huang +1
HD (High Definition) map based on 3D lidar plays a vital role in autonomous vehicle localization, planning, decision-making, perception, etc. Many 3D lidar mapping technologies rel…
Accelerating Neural Network Inference by Overflow Aware Quantization
Hongwei Xie, Shuo Zhang, Huanghao Ding +5
The inherent heavy computation of deep neural networks prevents their widespread applications. A widely used method for accelerating model inference is quantization, by replacing t…