91 citations · 146 across the 6 of their papers we have counts for
6 papers
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Simian Luo, Yiqin Tan, Longbo Huang +2
Latent Diffusion models (LDMs) have achieved remarkable results in synthesizing high-resolution images. However, the iterative sampling process is computationally intensive and lea…
ReIDTrack: Multi-Object Track and Segmentation Without Motion
Kaer Huang, Bingchuan Sun, Feng Chen +5
In recent years, dominant Multi-object tracking (MOT) and segmentation (MOTS) methods mainly follow the tracking-by-detection paradigm. Transformer-based end-to-end (E2E) solutions…
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning
Gaurav Bagwe, Jian Li, Xiaoyong Yuan +1
Despite the success of AI-enabled onboard perception, on-ramp merging has been one of the main challenges for autonomous driving. Due to limited sensing range of onboard sensors, a…
Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene
Keyu Lu, Jian Li, Xiangjing An +1
Vision-based object detection is one of the fundamental functions in numerous traffic scene applications such as self-driving vehicle systems and advance driver assistance systems…
Characterizing Driving Styles with Deep Learning
Weishan Dong, Jian Li, Renjie Yao +3
Characterizing driving styles of human drivers using vehicle sensor data, e.g., GPS, is an interesting research problem and an important real-world requirement from automotive indu…
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
Shusen Wang, Zhihua Zhang, Jian Li
The CUR matrix decomposition is an important extension of Nyström approximation to a general matrix. It approximates any data matrix in terms of a small number of its columns and r…