89 citations · 223 across the 8 of their papers we have counts for
8 papers
WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More
Yuxuan Yue, Zhihang Yuan, Haojie Duanmu +3
Large Language Models (LLMs) face significant deployment challenges due to their substantial memory requirements and the computational demands of auto-regressive text generation pr…
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
Sifan Zhou, Liang Li, Xinyu Zhang +6
Due to highly constrained computing power and memory, deploying 3D lidar-based detectors on edge devices equipped in autonomous vehicles and robots poses a crucial challenge. Being…
RobustCalib: Robust Lidar-Camera Extrinsic Calibration with Consistency Learning
Shuang Xu, Sifan Zhou, Zhi Tian +3
Current traditional methods for LiDAR-camera extrinsics estimation depend on offline targets and human efforts, while learning-based approaches resort to iterative refinement for c…
FastPillars: A Deployment-friendly Pillar-based 3D Detector
Sifan Zhou, Zhi Tian, Xiangxiang Chu +7
The deployment of 3D detectors strikes one of the major challenges in real-world self-driving scenarios. Existing BEV-based (i.e., Bird Eye View) detectors favor sparse convolution…
Real-time 3D Single Object Tracking with Transformer
Jiayao Shan, Sifan Zhou, Yubo Cui +1
LiDAR-based 3D single object tracking is a challenging issue in robotics and autonomous driving. Currently, existing approaches usually suffer from the problem that objects at long…
3D Object Tracking with Transformer
Yubo Cui, Zheng Fang, Jiayao Shan +2
Feature fusion and similarity computation are two core problems in 3D object tracking, especially for object tracking using sparse and disordered point clouds. Feature fusion could…
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud
Zheng Fang, Sifan Zhou, Yubo Cui +1
3D single object tracking is a key issue for autonomous following robot, where the robot should robustly track and accurately localize the target for efficient following. In this p…
PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds
Jiayao Shan, Sifan Zhou, Zheng Fang +1
3D single object tracking is a key issue for robotics. In this paper, we propose a transformer module called Point-Track-Transformer (PTT) for point cloud-based 3D single object tr…