17 citations · 17 across the 5 of their papers we have counts for
5 papers
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models
Wenjin Ke, Zhe Li, Dong Li +2
Improving the efficiency of inference in Large Language Models (LLMs) is a critical area of research. Post-training Quantization (PTQ) is a popular technique, but it often faces ch…
MonoGS++: Fast and Accurate Monocular RGB Gaussian SLAM
Renwu Li, Wenjing Ke, Dong Li +2
We present MonoGS++, a novel fast and accurate Simultaneous Localization and Mapping (SLAM) method that leverages 3D Gaussian representations and operates solely on RGB inputs. Whi…
HPS-Det: Dynamic Sample Assignment with Hyper-Parameter Search for Object Detection
Ji Liu, Dong Li, Zekun Li +4
Sample assignment plays a prominent part in modern object detection approaches. However, most existing methods rely on manual design to assign positive / negative samples, which do…
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
Haowei Zhu, Wenjing Ke, Dong Li +3
Recently, self-attention mechanisms have shown impressive performance in various NLP and CV tasks, which can help capture sequential characteristics and derive global information.…
Automatic Streaming Segmentation of Stereo Video Using Bilateral Space
Wenjing Ke, Yuanjie Zhu, Lei Yu
In this paper, we take advantage of binocular camera and propose an unsupervised algorithm based on semi-supervised segmentation algorithm and extracting foreground part efficientl…